AIN201 - From Transaction to Insight with SAP Solutions
Transcript of AIN201 - From Transaction to Insight with SAP Solutions
PUBLIC
From Transaction to Insight with SAP Solutionshellipor how the SAP Analytics Cloud and SAP BW4HANA solutions complement SAP S4HANA
AIN201
2PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Speakers
Las VegasSeptember 24ndash27 2019
Juumlrgen Butsmann
BarcelonaOctober 8-10 2019
Anirban Kundu
BangaloreNovember 13-15 2019
Anirban Kundu
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Download the app from
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Complete the session evaluation for this session
AIN201 on the SAP TechEd mobile app
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The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP
Except for your obligation to protect confidential information this presentation is not subject to your license agreement or any other service
or subscription agreement with SAP SAP has no obligation to pursue any course of business outlined in this presentation or any related
document or to develop or release any functionality mentioned therein
This presentation or any related document and SAPs strategy and possible future developments products and or platforms directions and
functionality are all subject to change and may be changed by SAP at any time for any reason without notice The information in this
presentation is not a commitment promise or legal obligation to deliver any material code or functionality This presentation is provided
without a warranty of any kind either express or implied including but not limited to the implied warranties of merchantability fitness for a
particular purpose or non-infringement This presentation is for informational purposes and may not be incorporated into a contract SAP
assumes no responsibility for errors or omissions in this presentation except if such damages were caused by SAPrsquos intentional or gross
negligence
All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from
expectations Readers are cautioned not to place undue reliance on these forward-looking statements which speak only as of their dates
and they should not be relied upon in making purchasing decisions
Disclaimer
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Context Analytics and the intelligent ERP
OverviewEmbedded analytics in SAP S4HANA
PositioningSAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
Integration
Your route to Analytics with SAP S4HANA
SummaryOutlook
Agenda
Context
Analytics and the intelligent ERP
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Be the experience company powered by the intelligent enterprise
8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Business Technology Platform
Overview
embedded analytics in SAP S4HANA
10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Role-Based
Any device
Embedded Analytics
Cockpits with exception based worklists
Simple data structures
Speed on primary data
Rely on original data
Automation
Machine Learning
Prediction amp Simulation
Situation Handling Intelligent Robotic
Process Automation
Conversational UI etc
SAP S4HANA Digital Core - the Guiding Principles - Value
AIN202
11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Enablement of fact-driven process handling
bull Combined screens with transactional and
analytical information
bull Proper prioritization in transactional
process steps
bull Decision support where it is needed (inside
the transactional screen)
Easy modeling on simple data models
bull Real-time data availability
bull Easy drill down
bull Best possible performance
bull Custom data model extensions (in
SAP Fiori)
Integrate intelligent technologies in processes
bull Integration of Predictive and ML data inside
analytical data models
bull Embedded decision support
bull Allow process automation where needed
SAP S4HANA Digital Core - Examples embedded
analytics
12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
What is SAP S4HANA embedded analytics
SAP S4HANA embedded analytics =
IntelligentSuite
SAP S4HANA
embedded
analytics
Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies
+ Content (Data Models and Applications) + Design Time Applications
13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
HANA Platform
Customers and Partners can develop on released VDM views
VDM is the data model and source for all types of applications
Transactional
Analytical
External interfaces
VDM is a set of views on SAP S4HANA application data
Business-oriented
Understandable amp semantically rich
Reusable amp stable
Executed on SAP HANA
Implemented as ABAP CDS views (core dataservices)
Virtual Data Model (VDM) for Application Data in SAP S4HANA
R
SAP S4HANA Core Tables (ECC)
gt40 000 Tables (technical cryptic unrelated)
Virtual Data Model (CDS)
SalesOrder
SalesOrderItem
Customer
Material
RR
14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Stack of VDM Views
Application Data (Tables)
VDM Basic Interface Views I_
VDM Composite Interface Views I_
VDM Consumption Views C_ VDM External API Views A_
Cryptic invisible
Basic VDM for reuse
Convenience and
special views for reuse
Purpose-built for apps
and APIs
All types of consumers
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
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SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
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Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
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Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
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Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
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Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
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With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
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The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
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Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
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After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
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With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
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SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
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Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
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Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
2PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Speakers
Las VegasSeptember 24ndash27 2019
Juumlrgen Butsmann
BarcelonaOctober 8-10 2019
Anirban Kundu
BangaloreNovember 13-15 2019
Anirban Kundu
3PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Download the app from
iPhone App Store or Google Play
Take the session survey
We want to hear from you
Complete the session evaluation for this session
AIN201 on the SAP TechEd mobile app
4PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP
Except for your obligation to protect confidential information this presentation is not subject to your license agreement or any other service
or subscription agreement with SAP SAP has no obligation to pursue any course of business outlined in this presentation or any related
document or to develop or release any functionality mentioned therein
This presentation or any related document and SAPs strategy and possible future developments products and or platforms directions and
functionality are all subject to change and may be changed by SAP at any time for any reason without notice The information in this
presentation is not a commitment promise or legal obligation to deliver any material code or functionality This presentation is provided
without a warranty of any kind either express or implied including but not limited to the implied warranties of merchantability fitness for a
particular purpose or non-infringement This presentation is for informational purposes and may not be incorporated into a contract SAP
assumes no responsibility for errors or omissions in this presentation except if such damages were caused by SAPrsquos intentional or gross
negligence
All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from
expectations Readers are cautioned not to place undue reliance on these forward-looking statements which speak only as of their dates
and they should not be relied upon in making purchasing decisions
Disclaimer
5PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Context Analytics and the intelligent ERP
OverviewEmbedded analytics in SAP S4HANA
PositioningSAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
Integration
Your route to Analytics with SAP S4HANA
SummaryOutlook
Agenda
Context
Analytics and the intelligent ERP
7PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Be the experience company powered by the intelligent enterprise
8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Business Technology Platform
Overview
embedded analytics in SAP S4HANA
10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Role-Based
Any device
Embedded Analytics
Cockpits with exception based worklists
Simple data structures
Speed on primary data
Rely on original data
Automation
Machine Learning
Prediction amp Simulation
Situation Handling Intelligent Robotic
Process Automation
Conversational UI etc
SAP S4HANA Digital Core - the Guiding Principles - Value
AIN202
11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Enablement of fact-driven process handling
bull Combined screens with transactional and
analytical information
bull Proper prioritization in transactional
process steps
bull Decision support where it is needed (inside
the transactional screen)
Easy modeling on simple data models
bull Real-time data availability
bull Easy drill down
bull Best possible performance
bull Custom data model extensions (in
SAP Fiori)
Integrate intelligent technologies in processes
bull Integration of Predictive and ML data inside
analytical data models
bull Embedded decision support
bull Allow process automation where needed
SAP S4HANA Digital Core - Examples embedded
analytics
12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
What is SAP S4HANA embedded analytics
SAP S4HANA embedded analytics =
IntelligentSuite
SAP S4HANA
embedded
analytics
Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies
+ Content (Data Models and Applications) + Design Time Applications
13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
HANA Platform
Customers and Partners can develop on released VDM views
VDM is the data model and source for all types of applications
Transactional
Analytical
External interfaces
VDM is a set of views on SAP S4HANA application data
Business-oriented
Understandable amp semantically rich
Reusable amp stable
Executed on SAP HANA
Implemented as ABAP CDS views (core dataservices)
Virtual Data Model (VDM) for Application Data in SAP S4HANA
R
SAP S4HANA Core Tables (ECC)
gt40 000 Tables (technical cryptic unrelated)
Virtual Data Model (CDS)
SalesOrder
SalesOrderItem
Customer
Material
RR
14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Stack of VDM Views
Application Data (Tables)
VDM Basic Interface Views I_
VDM Composite Interface Views I_
VDM Consumption Views C_ VDM External API Views A_
Cryptic invisible
Basic VDM for reuse
Convenience and
special views for reuse
Purpose-built for apps
and APIs
All types of consumers
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
3PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Download the app from
iPhone App Store or Google Play
Take the session survey
We want to hear from you
Complete the session evaluation for this session
AIN201 on the SAP TechEd mobile app
4PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP
Except for your obligation to protect confidential information this presentation is not subject to your license agreement or any other service
or subscription agreement with SAP SAP has no obligation to pursue any course of business outlined in this presentation or any related
document or to develop or release any functionality mentioned therein
This presentation or any related document and SAPs strategy and possible future developments products and or platforms directions and
functionality are all subject to change and may be changed by SAP at any time for any reason without notice The information in this
presentation is not a commitment promise or legal obligation to deliver any material code or functionality This presentation is provided
without a warranty of any kind either express or implied including but not limited to the implied warranties of merchantability fitness for a
particular purpose or non-infringement This presentation is for informational purposes and may not be incorporated into a contract SAP
assumes no responsibility for errors or omissions in this presentation except if such damages were caused by SAPrsquos intentional or gross
negligence
All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from
expectations Readers are cautioned not to place undue reliance on these forward-looking statements which speak only as of their dates
and they should not be relied upon in making purchasing decisions
Disclaimer
5PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Context Analytics and the intelligent ERP
OverviewEmbedded analytics in SAP S4HANA
PositioningSAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
Integration
Your route to Analytics with SAP S4HANA
SummaryOutlook
Agenda
Context
Analytics and the intelligent ERP
7PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Be the experience company powered by the intelligent enterprise
8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Business Technology Platform
Overview
embedded analytics in SAP S4HANA
10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Role-Based
Any device
Embedded Analytics
Cockpits with exception based worklists
Simple data structures
Speed on primary data
Rely on original data
Automation
Machine Learning
Prediction amp Simulation
Situation Handling Intelligent Robotic
Process Automation
Conversational UI etc
SAP S4HANA Digital Core - the Guiding Principles - Value
AIN202
11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Enablement of fact-driven process handling
bull Combined screens with transactional and
analytical information
bull Proper prioritization in transactional
process steps
bull Decision support where it is needed (inside
the transactional screen)
Easy modeling on simple data models
bull Real-time data availability
bull Easy drill down
bull Best possible performance
bull Custom data model extensions (in
SAP Fiori)
Integrate intelligent technologies in processes
bull Integration of Predictive and ML data inside
analytical data models
bull Embedded decision support
bull Allow process automation where needed
SAP S4HANA Digital Core - Examples embedded
analytics
12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
What is SAP S4HANA embedded analytics
SAP S4HANA embedded analytics =
IntelligentSuite
SAP S4HANA
embedded
analytics
Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies
+ Content (Data Models and Applications) + Design Time Applications
13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
HANA Platform
Customers and Partners can develop on released VDM views
VDM is the data model and source for all types of applications
Transactional
Analytical
External interfaces
VDM is a set of views on SAP S4HANA application data
Business-oriented
Understandable amp semantically rich
Reusable amp stable
Executed on SAP HANA
Implemented as ABAP CDS views (core dataservices)
Virtual Data Model (VDM) for Application Data in SAP S4HANA
R
SAP S4HANA Core Tables (ECC)
gt40 000 Tables (technical cryptic unrelated)
Virtual Data Model (CDS)
SalesOrder
SalesOrderItem
Customer
Material
RR
14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Stack of VDM Views
Application Data (Tables)
VDM Basic Interface Views I_
VDM Composite Interface Views I_
VDM Consumption Views C_ VDM External API Views A_
Cryptic invisible
Basic VDM for reuse
Convenience and
special views for reuse
Purpose-built for apps
and APIs
All types of consumers
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
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77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
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within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
4PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP
Except for your obligation to protect confidential information this presentation is not subject to your license agreement or any other service
or subscription agreement with SAP SAP has no obligation to pursue any course of business outlined in this presentation or any related
document or to develop or release any functionality mentioned therein
This presentation or any related document and SAPs strategy and possible future developments products and or platforms directions and
functionality are all subject to change and may be changed by SAP at any time for any reason without notice The information in this
presentation is not a commitment promise or legal obligation to deliver any material code or functionality This presentation is provided
without a warranty of any kind either express or implied including but not limited to the implied warranties of merchantability fitness for a
particular purpose or non-infringement This presentation is for informational purposes and may not be incorporated into a contract SAP
assumes no responsibility for errors or omissions in this presentation except if such damages were caused by SAPrsquos intentional or gross
negligence
All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from
expectations Readers are cautioned not to place undue reliance on these forward-looking statements which speak only as of their dates
and they should not be relied upon in making purchasing decisions
Disclaimer
5PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Context Analytics and the intelligent ERP
OverviewEmbedded analytics in SAP S4HANA
PositioningSAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
Integration
Your route to Analytics with SAP S4HANA
SummaryOutlook
Agenda
Context
Analytics and the intelligent ERP
7PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Be the experience company powered by the intelligent enterprise
8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Business Technology Platform
Overview
embedded analytics in SAP S4HANA
10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Role-Based
Any device
Embedded Analytics
Cockpits with exception based worklists
Simple data structures
Speed on primary data
Rely on original data
Automation
Machine Learning
Prediction amp Simulation
Situation Handling Intelligent Robotic
Process Automation
Conversational UI etc
SAP S4HANA Digital Core - the Guiding Principles - Value
AIN202
11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Enablement of fact-driven process handling
bull Combined screens with transactional and
analytical information
bull Proper prioritization in transactional
process steps
bull Decision support where it is needed (inside
the transactional screen)
Easy modeling on simple data models
bull Real-time data availability
bull Easy drill down
bull Best possible performance
bull Custom data model extensions (in
SAP Fiori)
Integrate intelligent technologies in processes
bull Integration of Predictive and ML data inside
analytical data models
bull Embedded decision support
bull Allow process automation where needed
SAP S4HANA Digital Core - Examples embedded
analytics
12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
What is SAP S4HANA embedded analytics
SAP S4HANA embedded analytics =
IntelligentSuite
SAP S4HANA
embedded
analytics
Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies
+ Content (Data Models and Applications) + Design Time Applications
13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
HANA Platform
Customers and Partners can develop on released VDM views
VDM is the data model and source for all types of applications
Transactional
Analytical
External interfaces
VDM is a set of views on SAP S4HANA application data
Business-oriented
Understandable amp semantically rich
Reusable amp stable
Executed on SAP HANA
Implemented as ABAP CDS views (core dataservices)
Virtual Data Model (VDM) for Application Data in SAP S4HANA
R
SAP S4HANA Core Tables (ECC)
gt40 000 Tables (technical cryptic unrelated)
Virtual Data Model (CDS)
SalesOrder
SalesOrderItem
Customer
Material
RR
14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Stack of VDM Views
Application Data (Tables)
VDM Basic Interface Views I_
VDM Composite Interface Views I_
VDM Consumption Views C_ VDM External API Views A_
Cryptic invisible
Basic VDM for reuse
Convenience and
special views for reuse
Purpose-built for apps
and APIs
All types of consumers
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
5PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Context Analytics and the intelligent ERP
OverviewEmbedded analytics in SAP S4HANA
PositioningSAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
Integration
Your route to Analytics with SAP S4HANA
SummaryOutlook
Agenda
Context
Analytics and the intelligent ERP
7PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Be the experience company powered by the intelligent enterprise
8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Business Technology Platform
Overview
embedded analytics in SAP S4HANA
10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Role-Based
Any device
Embedded Analytics
Cockpits with exception based worklists
Simple data structures
Speed on primary data
Rely on original data
Automation
Machine Learning
Prediction amp Simulation
Situation Handling Intelligent Robotic
Process Automation
Conversational UI etc
SAP S4HANA Digital Core - the Guiding Principles - Value
AIN202
11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Enablement of fact-driven process handling
bull Combined screens with transactional and
analytical information
bull Proper prioritization in transactional
process steps
bull Decision support where it is needed (inside
the transactional screen)
Easy modeling on simple data models
bull Real-time data availability
bull Easy drill down
bull Best possible performance
bull Custom data model extensions (in
SAP Fiori)
Integrate intelligent technologies in processes
bull Integration of Predictive and ML data inside
analytical data models
bull Embedded decision support
bull Allow process automation where needed
SAP S4HANA Digital Core - Examples embedded
analytics
12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
What is SAP S4HANA embedded analytics
SAP S4HANA embedded analytics =
IntelligentSuite
SAP S4HANA
embedded
analytics
Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies
+ Content (Data Models and Applications) + Design Time Applications
13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
HANA Platform
Customers and Partners can develop on released VDM views
VDM is the data model and source for all types of applications
Transactional
Analytical
External interfaces
VDM is a set of views on SAP S4HANA application data
Business-oriented
Understandable amp semantically rich
Reusable amp stable
Executed on SAP HANA
Implemented as ABAP CDS views (core dataservices)
Virtual Data Model (VDM) for Application Data in SAP S4HANA
R
SAP S4HANA Core Tables (ECC)
gt40 000 Tables (technical cryptic unrelated)
Virtual Data Model (CDS)
SalesOrder
SalesOrderItem
Customer
Material
RR
14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Stack of VDM Views
Application Data (Tables)
VDM Basic Interface Views I_
VDM Composite Interface Views I_
VDM Consumption Views C_ VDM External API Views A_
Cryptic invisible
Basic VDM for reuse
Convenience and
special views for reuse
Purpose-built for apps
and APIs
All types of consumers
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
Context
Analytics and the intelligent ERP
7PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Be the experience company powered by the intelligent enterprise
8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Business Technology Platform
Overview
embedded analytics in SAP S4HANA
10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Role-Based
Any device
Embedded Analytics
Cockpits with exception based worklists
Simple data structures
Speed on primary data
Rely on original data
Automation
Machine Learning
Prediction amp Simulation
Situation Handling Intelligent Robotic
Process Automation
Conversational UI etc
SAP S4HANA Digital Core - the Guiding Principles - Value
AIN202
11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Enablement of fact-driven process handling
bull Combined screens with transactional and
analytical information
bull Proper prioritization in transactional
process steps
bull Decision support where it is needed (inside
the transactional screen)
Easy modeling on simple data models
bull Real-time data availability
bull Easy drill down
bull Best possible performance
bull Custom data model extensions (in
SAP Fiori)
Integrate intelligent technologies in processes
bull Integration of Predictive and ML data inside
analytical data models
bull Embedded decision support
bull Allow process automation where needed
SAP S4HANA Digital Core - Examples embedded
analytics
12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
What is SAP S4HANA embedded analytics
SAP S4HANA embedded analytics =
IntelligentSuite
SAP S4HANA
embedded
analytics
Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies
+ Content (Data Models and Applications) + Design Time Applications
13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
HANA Platform
Customers and Partners can develop on released VDM views
VDM is the data model and source for all types of applications
Transactional
Analytical
External interfaces
VDM is a set of views on SAP S4HANA application data
Business-oriented
Understandable amp semantically rich
Reusable amp stable
Executed on SAP HANA
Implemented as ABAP CDS views (core dataservices)
Virtual Data Model (VDM) for Application Data in SAP S4HANA
R
SAP S4HANA Core Tables (ECC)
gt40 000 Tables (technical cryptic unrelated)
Virtual Data Model (CDS)
SalesOrder
SalesOrderItem
Customer
Material
RR
14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Stack of VDM Views
Application Data (Tables)
VDM Basic Interface Views I_
VDM Composite Interface Views I_
VDM Consumption Views C_ VDM External API Views A_
Cryptic invisible
Basic VDM for reuse
Convenience and
special views for reuse
Purpose-built for apps
and APIs
All types of consumers
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
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More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
7PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Be the experience company powered by the intelligent enterprise
8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Business Technology Platform
Overview
embedded analytics in SAP S4HANA
10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Role-Based
Any device
Embedded Analytics
Cockpits with exception based worklists
Simple data structures
Speed on primary data
Rely on original data
Automation
Machine Learning
Prediction amp Simulation
Situation Handling Intelligent Robotic
Process Automation
Conversational UI etc
SAP S4HANA Digital Core - the Guiding Principles - Value
AIN202
11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Enablement of fact-driven process handling
bull Combined screens with transactional and
analytical information
bull Proper prioritization in transactional
process steps
bull Decision support where it is needed (inside
the transactional screen)
Easy modeling on simple data models
bull Real-time data availability
bull Easy drill down
bull Best possible performance
bull Custom data model extensions (in
SAP Fiori)
Integrate intelligent technologies in processes
bull Integration of Predictive and ML data inside
analytical data models
bull Embedded decision support
bull Allow process automation where needed
SAP S4HANA Digital Core - Examples embedded
analytics
12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
What is SAP S4HANA embedded analytics
SAP S4HANA embedded analytics =
IntelligentSuite
SAP S4HANA
embedded
analytics
Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies
+ Content (Data Models and Applications) + Design Time Applications
13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
HANA Platform
Customers and Partners can develop on released VDM views
VDM is the data model and source for all types of applications
Transactional
Analytical
External interfaces
VDM is a set of views on SAP S4HANA application data
Business-oriented
Understandable amp semantically rich
Reusable amp stable
Executed on SAP HANA
Implemented as ABAP CDS views (core dataservices)
Virtual Data Model (VDM) for Application Data in SAP S4HANA
R
SAP S4HANA Core Tables (ECC)
gt40 000 Tables (technical cryptic unrelated)
Virtual Data Model (CDS)
SalesOrder
SalesOrderItem
Customer
Material
RR
14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Stack of VDM Views
Application Data (Tables)
VDM Basic Interface Views I_
VDM Composite Interface Views I_
VDM Consumption Views C_ VDM External API Views A_
Cryptic invisible
Basic VDM for reuse
Convenience and
special views for reuse
Purpose-built for apps
and APIs
All types of consumers
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Business Technology Platform
Overview
embedded analytics in SAP S4HANA
10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Role-Based
Any device
Embedded Analytics
Cockpits with exception based worklists
Simple data structures
Speed on primary data
Rely on original data
Automation
Machine Learning
Prediction amp Simulation
Situation Handling Intelligent Robotic
Process Automation
Conversational UI etc
SAP S4HANA Digital Core - the Guiding Principles - Value
AIN202
11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Enablement of fact-driven process handling
bull Combined screens with transactional and
analytical information
bull Proper prioritization in transactional
process steps
bull Decision support where it is needed (inside
the transactional screen)
Easy modeling on simple data models
bull Real-time data availability
bull Easy drill down
bull Best possible performance
bull Custom data model extensions (in
SAP Fiori)
Integrate intelligent technologies in processes
bull Integration of Predictive and ML data inside
analytical data models
bull Embedded decision support
bull Allow process automation where needed
SAP S4HANA Digital Core - Examples embedded
analytics
12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
What is SAP S4HANA embedded analytics
SAP S4HANA embedded analytics =
IntelligentSuite
SAP S4HANA
embedded
analytics
Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies
+ Content (Data Models and Applications) + Design Time Applications
13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
HANA Platform
Customers and Partners can develop on released VDM views
VDM is the data model and source for all types of applications
Transactional
Analytical
External interfaces
VDM is a set of views on SAP S4HANA application data
Business-oriented
Understandable amp semantically rich
Reusable amp stable
Executed on SAP HANA
Implemented as ABAP CDS views (core dataservices)
Virtual Data Model (VDM) for Application Data in SAP S4HANA
R
SAP S4HANA Core Tables (ECC)
gt40 000 Tables (technical cryptic unrelated)
Virtual Data Model (CDS)
SalesOrder
SalesOrderItem
Customer
Material
RR
14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Stack of VDM Views
Application Data (Tables)
VDM Basic Interface Views I_
VDM Composite Interface Views I_
VDM Consumption Views C_ VDM External API Views A_
Cryptic invisible
Basic VDM for reuse
Convenience and
special views for reuse
Purpose-built for apps
and APIs
All types of consumers
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
Overview
embedded analytics in SAP S4HANA
10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Role-Based
Any device
Embedded Analytics
Cockpits with exception based worklists
Simple data structures
Speed on primary data
Rely on original data
Automation
Machine Learning
Prediction amp Simulation
Situation Handling Intelligent Robotic
Process Automation
Conversational UI etc
SAP S4HANA Digital Core - the Guiding Principles - Value
AIN202
11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Enablement of fact-driven process handling
bull Combined screens with transactional and
analytical information
bull Proper prioritization in transactional
process steps
bull Decision support where it is needed (inside
the transactional screen)
Easy modeling on simple data models
bull Real-time data availability
bull Easy drill down
bull Best possible performance
bull Custom data model extensions (in
SAP Fiori)
Integrate intelligent technologies in processes
bull Integration of Predictive and ML data inside
analytical data models
bull Embedded decision support
bull Allow process automation where needed
SAP S4HANA Digital Core - Examples embedded
analytics
12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
What is SAP S4HANA embedded analytics
SAP S4HANA embedded analytics =
IntelligentSuite
SAP S4HANA
embedded
analytics
Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies
+ Content (Data Models and Applications) + Design Time Applications
13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
HANA Platform
Customers and Partners can develop on released VDM views
VDM is the data model and source for all types of applications
Transactional
Analytical
External interfaces
VDM is a set of views on SAP S4HANA application data
Business-oriented
Understandable amp semantically rich
Reusable amp stable
Executed on SAP HANA
Implemented as ABAP CDS views (core dataservices)
Virtual Data Model (VDM) for Application Data in SAP S4HANA
R
SAP S4HANA Core Tables (ECC)
gt40 000 Tables (technical cryptic unrelated)
Virtual Data Model (CDS)
SalesOrder
SalesOrderItem
Customer
Material
RR
14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Stack of VDM Views
Application Data (Tables)
VDM Basic Interface Views I_
VDM Composite Interface Views I_
VDM Consumption Views C_ VDM External API Views A_
Cryptic invisible
Basic VDM for reuse
Convenience and
special views for reuse
Purpose-built for apps
and APIs
All types of consumers
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Role-Based
Any device
Embedded Analytics
Cockpits with exception based worklists
Simple data structures
Speed on primary data
Rely on original data
Automation
Machine Learning
Prediction amp Simulation
Situation Handling Intelligent Robotic
Process Automation
Conversational UI etc
SAP S4HANA Digital Core - the Guiding Principles - Value
AIN202
11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Enablement of fact-driven process handling
bull Combined screens with transactional and
analytical information
bull Proper prioritization in transactional
process steps
bull Decision support where it is needed (inside
the transactional screen)
Easy modeling on simple data models
bull Real-time data availability
bull Easy drill down
bull Best possible performance
bull Custom data model extensions (in
SAP Fiori)
Integrate intelligent technologies in processes
bull Integration of Predictive and ML data inside
analytical data models
bull Embedded decision support
bull Allow process automation where needed
SAP S4HANA Digital Core - Examples embedded
analytics
12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
What is SAP S4HANA embedded analytics
SAP S4HANA embedded analytics =
IntelligentSuite
SAP S4HANA
embedded
analytics
Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies
+ Content (Data Models and Applications) + Design Time Applications
13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
HANA Platform
Customers and Partners can develop on released VDM views
VDM is the data model and source for all types of applications
Transactional
Analytical
External interfaces
VDM is a set of views on SAP S4HANA application data
Business-oriented
Understandable amp semantically rich
Reusable amp stable
Executed on SAP HANA
Implemented as ABAP CDS views (core dataservices)
Virtual Data Model (VDM) for Application Data in SAP S4HANA
R
SAP S4HANA Core Tables (ECC)
gt40 000 Tables (technical cryptic unrelated)
Virtual Data Model (CDS)
SalesOrder
SalesOrderItem
Customer
Material
RR
14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Stack of VDM Views
Application Data (Tables)
VDM Basic Interface Views I_
VDM Composite Interface Views I_
VDM Consumption Views C_ VDM External API Views A_
Cryptic invisible
Basic VDM for reuse
Convenience and
special views for reuse
Purpose-built for apps
and APIs
All types of consumers
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Modern
Architecture for
Instant Insight
Intuitive User ExperienceIntelligent ERP
Next Generation Business
Processes
Enablement of fact-driven process handling
bull Combined screens with transactional and
analytical information
bull Proper prioritization in transactional
process steps
bull Decision support where it is needed (inside
the transactional screen)
Easy modeling on simple data models
bull Real-time data availability
bull Easy drill down
bull Best possible performance
bull Custom data model extensions (in
SAP Fiori)
Integrate intelligent technologies in processes
bull Integration of Predictive and ML data inside
analytical data models
bull Embedded decision support
bull Allow process automation where needed
SAP S4HANA Digital Core - Examples embedded
analytics
12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
What is SAP S4HANA embedded analytics
SAP S4HANA embedded analytics =
IntelligentSuite
SAP S4HANA
embedded
analytics
Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies
+ Content (Data Models and Applications) + Design Time Applications
13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
HANA Platform
Customers and Partners can develop on released VDM views
VDM is the data model and source for all types of applications
Transactional
Analytical
External interfaces
VDM is a set of views on SAP S4HANA application data
Business-oriented
Understandable amp semantically rich
Reusable amp stable
Executed on SAP HANA
Implemented as ABAP CDS views (core dataservices)
Virtual Data Model (VDM) for Application Data in SAP S4HANA
R
SAP S4HANA Core Tables (ECC)
gt40 000 Tables (technical cryptic unrelated)
Virtual Data Model (CDS)
SalesOrder
SalesOrderItem
Customer
Material
RR
14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Stack of VDM Views
Application Data (Tables)
VDM Basic Interface Views I_
VDM Composite Interface Views I_
VDM Consumption Views C_ VDM External API Views A_
Cryptic invisible
Basic VDM for reuse
Convenience and
special views for reuse
Purpose-built for apps
and APIs
All types of consumers
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
What is SAP S4HANA embedded analytics
SAP S4HANA embedded analytics =
IntelligentSuite
SAP S4HANA
embedded
analytics
Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies
+ Content (Data Models and Applications) + Design Time Applications
13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
HANA Platform
Customers and Partners can develop on released VDM views
VDM is the data model and source for all types of applications
Transactional
Analytical
External interfaces
VDM is a set of views on SAP S4HANA application data
Business-oriented
Understandable amp semantically rich
Reusable amp stable
Executed on SAP HANA
Implemented as ABAP CDS views (core dataservices)
Virtual Data Model (VDM) for Application Data in SAP S4HANA
R
SAP S4HANA Core Tables (ECC)
gt40 000 Tables (technical cryptic unrelated)
Virtual Data Model (CDS)
SalesOrder
SalesOrderItem
Customer
Material
RR
14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Stack of VDM Views
Application Data (Tables)
VDM Basic Interface Views I_
VDM Composite Interface Views I_
VDM Consumption Views C_ VDM External API Views A_
Cryptic invisible
Basic VDM for reuse
Convenience and
special views for reuse
Purpose-built for apps
and APIs
All types of consumers
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
HANA Platform
Customers and Partners can develop on released VDM views
VDM is the data model and source for all types of applications
Transactional
Analytical
External interfaces
VDM is a set of views on SAP S4HANA application data
Business-oriented
Understandable amp semantically rich
Reusable amp stable
Executed on SAP HANA
Implemented as ABAP CDS views (core dataservices)
Virtual Data Model (VDM) for Application Data in SAP S4HANA
R
SAP S4HANA Core Tables (ECC)
gt40 000 Tables (technical cryptic unrelated)
Virtual Data Model (CDS)
SalesOrder
SalesOrderItem
Customer
Material
RR
14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Stack of VDM Views
Application Data (Tables)
VDM Basic Interface Views I_
VDM Composite Interface Views I_
VDM Consumption Views C_ VDM External API Views A_
Cryptic invisible
Basic VDM for reuse
Convenience and
special views for reuse
Purpose-built for apps
and APIs
All types of consumers
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Stack of VDM Views
Application Data (Tables)
VDM Basic Interface Views I_
VDM Composite Interface Views I_
VDM Consumption Views C_ VDM External API Views A_
Cryptic invisible
Basic VDM for reuse
Convenience and
special views for reuse
Purpose-built for apps
and APIs
All types of consumers
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Table
sB
asic
Co
mp
osite
Co
nsu
mp
tio
nExample Sales Order and Related Views
I_SalesOrderTP
I_Material
C_SalesOrderTP
I_SalesOrderItemI_SalesOrder
Exte
rna
l AP
I
C_SalesOrder
ItemQuery
I_SalesOrder
ItemCube
A_SalesOrder
Item
I_MaterialText
VEDAVBKD VBAPVBAK MAKTMARA
selection
association
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics ndash Overview of current Offering
per Type of User
SAP AnalyticsEnd-User Analyze the Data and act according to Insights
IT-User Provide the single source of truth in one semantic layer
Multi-
dimensional
reports
Key-User Enable the End-User
CDS View
maintenance
ABAP for Eclipse
Manage KPI and
Report Apps
SAP Analytics
Cloud
SAP
BusinessObjects
Enterprise
Examples Analysis for
Office Design Studio
Smart
Business
Drill Down
Query
Browser
Analytical List
Pages
Overview
Pages
Analytical
Fiori Apps
CDS Key User
Tooling
(eg Query Designer)
bull separate productsservices
bull direct access to S4HANA data
bull Dashboards and Digital Boardrooms developed by
S4HANA available for SAP Analytics Cloud
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909
Scope Item List
3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance
1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement
2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement
20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance
1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost
2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend
BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance
2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management
2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management
1KU Integration to SAP RealSpend and SAP Financial Statement Insights
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
1BS Fiori Analytical Apps for Sales and Distribution
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Sales QuotationsFlexible Analysis
Key Features
Analyze customer return related KPIs
Display the monthly rolling trend of the return rate For further
investigation drill down by a range of dimensions such as
sales organization sold-to party and return reason
Drill down to a list of customer return items with more details
With this app you can analyze sales quotations based on
flexible combinations of dimensions For example you can
get a monthly rolling trend of your quotations and see to what
extent they are being referenced by sales orders You can
quickly identify the critical quotations that are close to
expiring have expired or are rejected
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
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within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
3FY Supplier Delivery Prediction
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
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C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
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Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
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78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Predictive scenarioMonitor Purchase Order Items
The Machine Learning algorithms identify the
supplier delays based on the multiple situations
and predict the chances of delay
Need screenshot from Bob
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
DemoSAP S4HANA ndash GRIR Monitor
SAP S4HANA embedded analytics in practice
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
Positioning
SAP S4HANA embedded analytics
SAP Analytics Cloud and
SAP BW4HANA
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Additional functionality outside of SAP S4HANA
Embedded functionality in SAP S4HANA
Opportunities for extending SAP S4HANA embedded analytics
Planning
Engine
Predictive
Engine
Pixel-true
Visualization
Advanced
Dashboarding
Data
Warehousing
Excel in-app
Integration
Self-service
BI
Digital
Boardroomhellip
SAP S4HANA
embedded
analytics
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need an additional visualization toolldquo
Yesldquo
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
The added Value of SAP Analytics Cloud for SAP S4HANA
It is MORE It is EMBEDDED It GOES BEYOND
SAP Analytics Cloud
SAP S4HANA
SAP Analytics Cloud
SAP S4HANA SAP S4HANA
hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA
SAP Analytics Cloud
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud ndash Make Intelligent Decisions
All in one platform built for SaaS
bull Get everything you need from data
to decisions
bull Analyze plan and predict all in one
place
bull Scale to meet the needs of diverse
users and all types of decisions
(strategic operational and tactical)
Planning analysis and execution in one UX
bull Plan analyze and collaborate in one
UXsystem for instant insight to action
bull Increase engagement accountability and
accuracy with collaboration embedded in
context
bull Access to on-prem data amp apps without
having to replicate in the cloud
Augmented analytics for business users
bull Augment manual insights with embedded
intelligence that explains results
bull Ask questions in natural language to get the
answers you seek
bull Detect causes and take the next best action
using automated ML
bull Predict potential outcomes with the push of a
button
Complete - from data to
intelligenceContextual insight to
action
Confident decisions with
delivered AI-driven insights
AIN824
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud + SAP S4HANA = High-performing Analytics
Unique deep integration with
Live Connection to CDS Views
Business Content (models
stories dashboards) Fiori tile
integration Jump-to-transaction
BI Predictive amp Planning based
on SAP S4HANA business logic
in Real-Time ndash data changes
and modifications reflected
instantly
Leverage existing SAP S4HANA
Security amp Authorizations
Plug amp Play without any back-
end modifications
Enrich SAP S4HANA data
by adding your own
calculations (formulas
exception aggregations) and
delegate processing to
SAP S4HANA
Use the Analytics Catalog to bring all
your information together and accelerate
adoption of analytics in your business
user community
Explore SAP Digital
Boardroom for a real-time
view of your critical business
metrics in one place supporting
steering excellence of your
Intelligent Enterprise
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Intelligent Decisions
SAP Analytics Cloud
Smart Discovery
Search to Insight
Smart Insights
Time Series Forecasting
Smart Grouping
Smart Transformation
R-Visualizations
Only analytics solution to bring
together BI Planning and
Predictive in the cloud
Smart features deliver insights with
embedded machine learning ndash
no data scientist required
Get insights wherever you
are with analytics available
on any device
Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA
Data to Intelligence
BusinessIntelligence
Enterprise Planning
Augmented Analytics
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
After selecting a measure or dimension Smart
Discovery automatically generates a story with
up to 4 pages
bull Overview data distribution summary of
trends and patterns detected
bull Key Influencers top correlated variables
insight quality influence visualizations (only
created if a pattern is discovered)
bull Unexpected Values records identified as
outliers (only if a measure is selected)
bull Simulation interactive what-if simulation
(only if a measure is selected)
Smart DiscoveryAutomated Insights
Overview Key Influencers
Outliers Simulation
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Transform the way you analyze and
plan with ML-driven predictions
Enable business analysts to build
trusted and actionable predictions
Create recommendations for the
next best course of action
See your business in high resolution
with forecasts for each of your
customers products and suppliers
Anticipate the FutureSmart Predict
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
With SAP S4HANA and SAP S4HANA embedded analytics
do I still need my BWldquo
Yesldquo
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA complements SAP S4HANA
SAP S4HANA is not an EDW
SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for
optimal performance as transactional system
A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as
Machine Learning allow for new business processes and even automation
SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside
of transactions - embedded BW only for support of transactional workflows
SAP BW4HANA is an EDW
Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)
Delivers complete data warehouse tools (rich integrated toolset for data warehousing)
Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )
Why is SAP BW4HANA the perfect EDW for SAP S4HANA
Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and
Internet of Things (IoT) use cases
Availability of specific business content for SAP S4HANA
Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies
user maintenance ABAP transports governance hellip)
SAP
S4HANA
SAP BW4HANA
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Modern Architecture for
Instant Insight
Intuitive User Experience
Intelligent ERP
Next Generation Business Processes
Simplify the provisioning of
timely business insights
Capitalize on the full value of all
your data
Innovate with one trusted source for all
insights
Complete - From data to
intelligence everything you need
Contextual -
Insight to action where you work
Confident -
Faster more confident decisions with
delivered AI-driven insights
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Simplify the
provisioning of timely
business insights
Capitalize on the full
value of all your data
Innovate with one trusted
source for all insights
Leverages SAP HANA EIM to provide new
data provisioning opportunities like virtual data
access real-time replication or optimized data
load
Dedicated big data connector to leverage Big
Data landscapes for data onboarding and
ingestion for various types of data and files
Deep integration with SAP Data Hub including
SAP Vora as orchestration and refinery
application to address end to end processes
with SAP HANA and SAP BW4HANA
Impactful reduction of modeling and
source objects choice of field- or
InfoObject-based modeling no
data replication between layers needed
Data tiering for allocating best storage
for hot warm cold data by partition
Data processing pushed to SAP HANA
from the application server
Deploy on HEC AWS Azure and GCP
Unique native data access for real-time
analytics without replication into the
cloud one platform for enterprise
planning amp consolidation Predictive
Analytics
Extend managed DW and native SQL
approach for the full power of HANA with
mixed scenario and analytical apps
Establish the corporate memory for the
Intelligent Enterprise by leveraging the
Cloud Platform Integration API framework
SAP BW4HANA - the Guiding Principles
CPIBW4 Write
Interface
AIN832
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA Business Content
Quality
Management
Master Data
Business Area
Sales amp
Distribution
Sales
Overview
Conditions
Delivery
Service
Supply Chain Management
Procurement
Invoice
Verification
Inventory
Production
Planning and
Controlling
Extended
Warehouse
Management
Master Data
Governance
Finance
Accounts
Receivable
Accounts
Payable
Fixed Asset
Accounting
General
Ledger
incl
Financial
Statement
Controlling
Cost Center
Accounting
Overhead
Cost Orders
Enterprise
Controlling
Contract
Accounts
Asset
Management
Quality
Management
Overhead
Projects
incl
Networks
Plant
Maintenance
Customer
Service
Product Cost
Controlling5
Real Estate
Industries Utilities
Master DataSales
Statistics
Energy Data
Management
SF HCM
Workforce
Management
bull Supports SAP S4HANA and
SAP ECC systems
bull Uses new SAP BW4HANA
features
bull Follows the LSA++ architecture
bull Delivered content offers more
flexibility in data acquisition and
reporting
bull Provides higher level of detail
(line items hellip)
bull Quarterly delivery pace
SAP Online Documentation 20
Collective Note 20 - 2785525
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
Integration
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics with SAP S4HANA ndash high level architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analyticsaccess SAP S4HANA data directly via
Transient analytical queries
SAP S4HANA
SAP BW4HANA(for seamlessly extending transactions with data
warehousing workflows)
Database tables on SAP HANA
Intelligent Technologies
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Live Data Access ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
Reverse Proxy
CORS
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud Data Import ndash High Level Architecture
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of
SAP S4HANA extensible by the customer
Odata servicesTransient analytical
queries
SAP Analytics Cloud can access SAP S4HANA data directly via the
available Transient analytical queries
SAP S4HANA
SAP
Analytics
Cloud
Agent
SAP HANA
Cloud
Connector
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Open SAP Analytics Cloud Stories from Fiori
Launchpad
Easily create custom Fiori tiles to launch a Story
using OAUTH-enabled Story Catalog Service
Integrate available pre-defined SAP Analytics
Cloud Best Practices content with configured
Fiori tiles
Integration with SAP Fiori Launchpad
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud is embedded in SAP S4HANA
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911
Persistency
Modelling
Visualization
Access
Database tables on SAP HANA
ABAP-CDS-Models(for analytical and transactional purposes)
SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP
S4HANA extensible by the customer
Odata services Transient analytical queries
SAP Analytics Products
AfO SAC (enterprise) hellip
SAP S4HANA CLOUD
SAP Analytics Cloud (OEM)
Database tables on
SAP HANA
SAP BW4HANA(for seamlessly extending
transactions with data
warehousing workflows)
SAP ANALYTICS
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
bull Prebuilt content jumpstarts
analytic and planning efforts
bull Real-time Analytics
on SAP S4HANA Data
bull Predictive analytics and
simulation capabilities
Q2 2019 Today Q4 2019 2020
bull Unified analytics experience via
- Multidimensional reporting
- Dashboarding
- Intent-based navigation between
SAP Analytics Cloud stories and
SAP S4HANA Fiori apps
bull No data replication between SAP
Analytics Cloud and SAP S4HANA for
planning and budgeting processes
Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud
Get real-time business insights
and achieve accelerated more
accurate decisions
Enabled by
Automate your business improve
your agility and efficiency
Enabled by
bull Deeper integration with SAP
S4HANA
bull Predictive accounting
bull Context-sensitive insights
bull New level of forecast accuracy
Accelerate time-to-value and
simplify change management
Enabled by Enabled by
Improve data privacy and lower
total cost of ownership of your
enterprise planning solution
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics
Live Connectivity
bull Available for cloud and on-premise data
sources
bull No replication of data in SAP Analytics
Cloud
bull Use existing data models for analysis
bull Update data visualizations and stories
with new data in real-time
Data Import Connectivity
bull Available for cloud and on-premise data
sources
bull Replication within SAP Analytics Cloud
bull New data models created through the
SAP Analytics Cloud Modeler
bull Data visualizations and stories updated
when data is refreshed
Analytics
Live Connectivity
bull Browser-based data blending SAP HANA live
data models with imported data models
(no IT setup)
bull Support for dynamic HANA Input parameters
(via expressions)
Data Import Connectivity
bull Combine multiple datasets into a single
model with composite join keys
Recent Out now Q3 2019 Q4 2019 2020
Analytics
Live Connectivity
bull Enhanced support for dynamic HANA
Input parameters (via tablesprocedures)
Data Import Connectivity
bull Connect to 3rd party CRM and Cloud Storage
bull New data wrangling experience with instant
navigation to Explorer or Story layout
bull Increase data ingestion thresholds
Analytics
Live Data Import Connectivity
bull One connection experience for both data
import and live models
bull Expanded breadth of supported data sources
bull Data Blending between live and imported data
bull End-to-end transparency
bull Cross-product reporting for all intelligent
enterprise suite components eg Hire-to-retire
Integration roadmap between SAP S4HANA and SAP Analytics Cloud
Planning
bull SAP HANA data lsquouploadedrsquo (replicated)
to SAP Analytics Cloud
bull SAP Analytics Cloud stores model and data
bull Security can be added to the model within
SAP Analytics Cloud
Planning
bull Data Actions ndash cross model copy
Planning
bull Data Entry ndash enhanced rolling forecast
layout Smart Insights on table
bull Data Actions ndash prompting and variable
support
Planning
Replication-Free Planning
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Integration with SAP Business Warehouse applications
bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202
bull How to use ABAP CDS for Data Provisioning in BW
bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for
Operational Data Provisioningrsquo (gt 95 are released)
CDS-based Extraction to SAP Business Warehouse applications
SAP BW4HANA
SAP BWSAP S4HANA
S-API DataSources
ABAP CDS Views
SAP BW4HANA
SAP BWSAP S4HANA
ABAP CDS Views
CDS-based Data Federation with SAP Business Warehouse applications
Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details
httpsblogssapcom20190606discover-cds-
view-based-extractors-from-sap-s4hana-cloud
Finding the CDS extraction views(for on-premise include views whcih are of
status bdquoNOT_RELEASEDldquo)
On-premise only
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP
S4HANA Cloud
BW 4HANASAP S4HANA
or SAP ERP
Use case ndash BW4HANA reporting with SAP S4HANA Cloud
Description
- Leverage this use case when BW4HANA needs
to be single source of truth for Consolidated
Reporting across all systems in the landscape
- Integration scope item provide steps to configure
the data replication from SAP S4HANA Cloud to
BW4HANA using whitelisted data sources on
SAP S4HANA Cloud
- Supports change pointer
- Supports both delta and full load
- Staging and transformation needs to be handled
as custom development on BW4HANA side
(HQ)
SAP S4HANA Cloud
SAP S4HANA Cloud Data
retraction to BW4HANA using
White Listed Data sources in SAP
S4HANA Cloud
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
Your route to
Analytics with SAP S4HANA
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Checktest existing and used BW setup and extractors
What is still working (functional fit andor SAP supported content)
Which frontends have been created using the BEx
Do housekeeping What is still necessary
Establish the status quo ofBIAnalytics
Have data sources changed
Does Big Data play a role
Do housekeeping What is still necessary
Separate analytical requirements (along the business processes) between the operational system
the BIAnalytics layer and the EDW
Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning
For pure operational analytical requirements
Check existing content applications and capabilities in
SAP S4HANA embedded analytics See what you can do
out-of-the-box
For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA
Plan detailed steps to implement all remaining analytical
requirements (eg by extending SAP S4HANA or by exceptional
usage of SAP Analytics Cloud and SAP BW4HANA for
operational reporting) - your choices need to be based on
project realities (eg individual preferences strategy efforts
available functionality)
Planning the migration from SAP ECC with SAP BW
to SAP S4HANA with SAP BW4HANA
Prerequisite SAP BW4HANA Sandbox existing
Check
SAP BW
Status Quo
What to do
where
Check SAP
S4HANA
Rebuild
and
Extend
Check
Status quo
BIAnalytics
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA embedded analytics
bull Operational data
bull Real-time data access
bull Transactional decision support
bull KPI-driven process handling
SAP BW4HANA ndash Core EDW functions
bull Data replication (for Snapshots Performance enhancements)
bull Enterprise-wide data harmonization
bull Data governance
bull Data federationmashing (EDW)
bull LSA modeling
bull SAP and non-SAP data
bull Planning
bull Archiving (for delta comparison)
Now what to do where
Exceptions (related to visualization preferences cost time hellip)
SAP Analytics Cloud
bull Best visualization
bull Focus on cloud-based source
systems (eg SAP S4HANA
Cloud MTE)
bull Data federationmashing
(without EDW harmonization)
bull SAP and non-SAP data
bull Planning
bull Self Service BI
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
Summary Outlook
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Demo (Full Integration)
httpswwwyoutubeco
mwatchv=nuc29Zy4U
6Yampfeature=youtube
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Analytics in the context of SAP S4HANA
The complete portfolio
IntelligentSuite
SAP S4HANA
SAP BW4HANA SAP Analytics
Big data
SAP SQL Data
Warehousing
with SAP HANA 20
SAP Data Hub
CAA262
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Model Linking through Dimensions - SAP Data Warehouse Cloud
Identify opportunities faster with pre-built
templates and machine learning
Keeps business users and IT in sync
avoiding data silorsquos and unexpected costs
In-memory data management including
data privacy and anonymization
httpswwwsapcomproductsdata-warehouse-cloudhtml
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us
67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
Allows cross system view on all data
Examples
Total Spend Management
Bring together spends data from
Ariba Fieldglass and Concur
Campaign Effectiveness ndash
Campaigns from Marketing Cloud and Opportunities from
SAP C4HANA (Sales Cloud)
SAP Analytics Cloud
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
More examples
Profitability per Employee - Compute
Profitability with Headcount from
SucessFactors and Financial KPIs
from SAP S4HANA Effect of Marketing Spends on Net
Promoter Score - Analyse how spends
on Spotlight Accounts from Marketing
Cloud impact Net Promoter Score on
your brand with surveys from Qualtrics
SAP Analytics CloudSAP Analytics Cloud
SAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Big data
Non-SAP Systems
Intelligent Suite
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Big data
Non-SAP Systems
Data Warehouse Layer
EDW
BI Visualization Layer
Data Warehouse Layer for Enterprise-wide
data harmonization to establish the
Corporate Memory
Semantic BI Data Layer for agile
self-service mashups and blending
Allows cross system view on all data
X OSAP Analytics Cloud
SAP Analytics CloudSAP HANA Cloud Services
CustomerExperience
Manufacturingamp Supply Chain
Digital Core PeopleEngagement
Network amp SpendManagement
Intelligent Suite
SAP Data Hub
Why SAP Analytics Cloud It goes beyond data of SAP S4HANA
SAP Data Warehouse Cloud
70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Data WarehousingStatement of direction
Establish SAP Data Warehousing as the leading data
warehousing platform in order to meet future demands
Cloud- on-premises and hybrid deployments
Logical Data Warehouse for dynamically changing system
landscapes
Integration of any data types and Big Data technologies
Scale out to high volumes and data lakes
Industry data models for rapid implementation
HYBRID CLOUDON-PREMISES
SAP Data Warehouse Cloud
SAP Data Warehousing
SAP BW4HANASAP SQL
Data Warehousing
SAP HANA
71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP S4HANA
Blogs
What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF
How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics
How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture
SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams
Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana
SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
openSAP
Extending SAP S4HANA Cloud and SAP S4HANA
Youtube
SAP S4HANA Cloud
Analysis Path Framework
Fiori Apps Library
httpsfioriappslibraryhanaondemandcomsapfixexternalViewer
Documentation
SAP S4HANA
SAP S4HANA Cloud
72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Purchase the print or e-book at sap-presscom4690
Configure SAP S4HANA embedded analytics for your landscape
Use embedded analytics for operational reporting and process analytics
Integrate with other SAP tools for data warehousing business intelligence and predictive analytics
Customize and use SAP S4HANA embedded
analytics
SAP S4HANA Embedded Analytics The Comprehensive Guide
Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu
430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999
73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Seit 2642019
httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853
httpswwwamazondeSAP-4HANA-Embedded-Analytics-
Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385
C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat
ewayampsr=8-2
74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP BW4HANA
Community Product Pagehttpssapcombw4hana10
Home Pagehttpssapcombw4hana
Documentationhttpshelpsapcombw4hana10
Product Roadmaphttpssapcomroadmaps
Training amp Certificationhttpstrainingsapcom
Get Started
Free Learning openSAP Free Trial
Get Help
FAQ QampA Community Wiki Support Services Availability
Read amp Learn More
SAP Blogs Community Blogs Learning Journey
Transition from SAP BW
Blog SAP Activate Roadmap SAP Readiness Check
Related Solutions
SAP HANA SAP Data Hub SAP Analytics Cloud
Share amp Follow
BW4HANA
TheFutureofDW
Watch
Demos amp Tutorials
YouTube Channel
SAP HANA Academy
75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
SAP Analytics Cloud
httpswwwsapanalyticscloud
76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access SAP TechEd Learning Journeys
Discover related learning content
Watch webinars of SAP TechEd lectures
Learn about SAPrsquos latest innovations with openSAP
Collaborate with SAP experts
Self-test your knowledge
Earn a SAP TechEd knowledge badge
Continue your SAP TechEd 2019 Learning Experience
Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub
77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
Access replays
Keynotes
Live interviews
Select lecture sessions
httpsaptechedcomonline
Continue the conversation
Read and reply to blog posts
Ask questions
Join discussions
sapcomcommunity
Check out the latest blogs
See all SAP TechEd blog posts
Learn from peers and experts
SAP TechEd blog posts
Engage with the SAP TechEd Community
Access replays and continue your SAP TechEd discussion after the event
within the SAP Community
78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ
More information
Related SAP TechEd Learning Journeys
AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions
AIN2 ndash Transform your business processes with intelligent technologies
CAA1 ndash Extend SAP Solutions to support your intelligent enterprise
Related SAP TechEd sessions
AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios
CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics
AIN824 ndash SAP Analytics Cloud Road Map and Strategy
AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud
AIN832 ndash SAP BW4HANA Road Map
Public SAP Web sites
SAP Community wwwsapcomcommunity
SAP products wwwsapcomproducts
SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where
Feedback Contact for further topic inquiries
Please complete your session evaluation
for AIN201
Anirban KunduProduct Management SAP S4HANAakundusapcom
Thanks for attending this session
copy 2019 SAP SE or an SAP affiliate company All rights reserved
No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of
SAP SE or an SAP affiliate company
The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its
distributors contain proprietary software components of other software vendors National product specifications may vary
These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or
warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials
The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty
statements accompanying such products and services if any Nothing herein should be construed as constituting an additional
warranty
In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or
any related presentation or to develop or release any functionality mentioned therein This document or any related presentation
and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and
functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason
without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or
functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ
materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they
should not be relied upon in making purchasing decisions
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered
trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names
mentioned are the trademarks of their respective companies
See wwwsapcomcopyright for additional trademark information and notices
wwwsapcomcontactsap
Follow us