Post on 16-Apr-2017
Use this title slide only with an image
Business Innovation Through Big DataTimo Elliott, Global Innovation Evangelist, SAP @timoelliott
Big data
Process data Human data
Machine data
© 2014 SAP AG. All rights reserved. 4Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012
Unstructured50TB
Semi-structured
2 TB
Structured12 TB
Only
12%used today
Average data volume per company
9 TB 75 TB
0.6 TB 5 TB
4 TB 50 TB
SMBs: LEs:
Base: 634 business intelligence users and planners
Companies don’t use most of their data
Big Data Is… (According to Google)
© 2014 SAP AG. All rights reserved. 6
Big Data is at Peak of Inflated Expectations…
Source: Gartner
© 2014 SAP AG. All rights reserved. 7
Benefits from Big Data Initiatives
Source: Information Difference Research Study: “Big Data Revealed”
Hyper-personalizeCustomer Experience
Plan & optimizeResources in Real-time
Engage & empowerWorkforce of the Future
Harness the intelligence ofNetworked Economy
Key Areas of Opportunity
Point of Sale Explorer
Reinvent Luxury Service
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
Unilever
“if we knew then what we know now, we would have started deploying SAP HANA much earlier, because it’s so important for business... We think it’s even more disruptive than we initially thought — we’ve only just started”
Marc Béchet, VP Global IT ERP, Unilever
© 2014 SAP AG. All rights reserved. 12
Listening to Customers
© 2014 SAP AG. All rights reserved. 13
Improving Customers LivesCombine structured and unstructured data for
complaint handling and patient experience reporting
“The improved information flow allows Medtronic to address product performance issues efficiently, accurately, and effectively and to detect trends at an earlier stage.”
New Products & Services
Genomic Analysis1 sample = 2534 genomes = 20bn records = 1.2TB 600x Faster = previously impossible tests and researchA win-win-win for IT, researchers, and humanity
© 2014 SAP AG. All rights reserved. 17
Hadoop + Hana
© 2014 SAP AG. All rights reserved. 18
Data Warehouse
HTAPHadoop
Big Data Architecture Directions: Short Term
Where does data arrive?When does it need to move?Where does modeling happen?What can users do themselves?What governance is required?
BI Tools
Metadata abstractionIncreasingly automatedLearning algorithmsContent & Process IncludedData
Warehouse
HTAPHadoop
Big Data Architecture Directions: Long Term
Where does data arrive?When does it need to move?Where does modeling happen?What can users do themselves?What governance is required?
Integrated Data “System” (cloud & on-premise)
BI Tools
Understand Big Data through Information Management LifecycleTechnologies supporting enterprise requirements naturally co-exist and co-evolve
Ingest Store Process Present
Effo
rt
Effo
rt
Unstructured
Replication/ synchronization
Extract-transform-load Event stream processing
Database Many instance formats Many storage formats ACID properties Transactional
Versatile data queries using SQL/OLAP
Scripting and UDF to process In-DB
Federate queries across DB and DFS
Low-latency processing
Mature connectors to transport data to varietyof visualization tools
Structured
File transfer Extract-load data from
variety data sources
Distributed File System (DFS) Files stored in native format Software-driven reliability model BASE properties Lack of BI tool support
Transform to pre-process or at time of request using map-reduce
Huge amount of efforts to define the SQL
Scheduled chains to create consumable information
Simple SQL-like connectivity High-latency processing
Need new storage formats for high speed and high concurrency
Emerging visualization tools
SAP HANA+ Sybase IQ + Hadoop SAP BI SAP DS, ESP
SAP HANA: Text Analysis for Big Data
File Filtering Unlock text from binary documents Ability to extract and process unstructured text data
from various file formats (txt, html, xml, pdf, doc, ppt, xls, rtf, msg)
Load binary, flat, and other documents directly into HANA for native text search and analysis
Native Text Analysis Give structure to unstructured textual content Expose linguistic markup for text mining uses Classify entities (people, companies, things, etc.) Identify domain facts (sentiments, topics, requests,
etc.) Supports up to 31 languages for linguistic mark-up
and extraction dictionary and 11 languages for predefined core extractions
SAP HANAText & Sentiment
Analysis
SearchAnalyze Predict
22
SAP ESP: Streaming Big Data
23
Analyse and act on events as they happen – by relying on real-time event-driven analytics. With our award-winning complex event processing (CEP) platform, you can develop and deploy business-critical applications that give you the agility you need to make quick, profitable decisions.
Process and analyse multiple streams of high-speed, high-volume complex event data in real time
Get actionable information from event streams and generate alerts for events needing quick action
Initiate automatic responses to changing conditions based on one or a combination of events
Develop applications quickly for fast ROI with the high-performance CEP engine
SAP HANA: Predictive & Machine Learning
SAP HANA platform converges Database, Data Processing and Application Platform capabilities & provides Libraries for predictive, planning, text, spatial, and business analytics
so businesses can operate in real-time.
Provide Business Analysts with sophisticated algorithms to take the next step in understanding their business and modeling outcomes.
Perform statistical analysis on your data to understand trends and detect outliers in your business.
Build models and apply to scenarios to forecast potential future outcomes
Combine, manipulate and enrich data to apply it to your business scenarios. Self-service visualizations and analytics to tell your story
24
SAP HANASpatial Processing
SAP HANA: Spatial Processing
Real-time Spatial ProcessingHigh-performance algorithms analyze massive amounts of spatial data in real-time
Mobility Visualization Analytics HTML 5 GIS Applications
Spatial Analytics OptimizationColumnar storage architecture eliminates need to create spatial indexes, tessellation, or other optimization techniques.
Geo-content & servicesMaps, geo-content and geospatial services for seamless application development and deployment
Spatial Data Types & FunctionsStore, process, manipulate, share and retrieve spatial data directly in the database
Business Data + Spatial Data + Real-time Data
Geo – Services- Geocoding- Base maps
Geo – Content- Political
Boundaries- POIs
- Roads
Columnar Spatial Processing
Calc Model / Views- Joins- Views
Spatial Functions- Area
- Distance- Within
Spatial Data Types- Points- Lines
- Polygons
TransactionData
Unstructured Data
Location Data MachineData
Big Data provisioning with SAP
SAP IQ
Trigger Based, Real Time
ETL, Batch
Log Based
ODBC
DB Connection
ODBC
Event Streams
ECH
ODBCData Synchronization
ODBC/ JDBC/ OData
SAP HANA smart data access Data Virtualization
Non SAP Data Sources
Trading & Order Management Systems
Network Devices- Wired/Wireless
SAP BW
SAP Sybase IQ /ASE
SAP BusinessSuite
SAP Data Services
SAP LT Replication Server
SAP Sybase Event Stream Processor
SAP Sybase SQL Anywhere
Your Own Applications
SAP HANA
SAP Sybase Replication Server
Data Sources
26
SAP HANA smart data access capabilityData virtualization for on-premise and hybrid cloud environments
► Remote data access like “local” data
► No special syntax to access heterogeneous data sources
► Smart query processing pushing as much processing as possible to target data source
► Functional compensation allows customers to use the full power of the HANA
► Automatic data type translation enables remote data types to be mapped to HANA data types
► Data location agnostic development
SAP HANA
RemoteData Sources
HANA Tables
End User Query
Virtual Tables
Analytical and Transactional Applications
Teradata
HadoopSAP HANA
ASE
IQ
SAP HANA Platform and Hadoop
Dat
a In
gest
ion\
Acq
uisi
tion
Processing Engine
Application Function Libraries & Data Models
Database Services(OLTP + OLAP)
Extended Application Services
Integration Services
SAP HANA PLATFORMIn-memory processing platform for real-time transactions + end-to-end analytics that offers massive simplification.
Unified Administration
Application Development
Custom Apps Mobile Apps Big Data Apps ERP Apps SAP Analytics
Smart Data Access Transfer Datasets
SAP IQ
Web / Sensor
CallCenter
Other
Data Sources
SAP SLT / Rep Server
SAP Data Services
SAP SQL Anywhere
SAP ESP
Hadoop Adapter
Hadoop Hive
SAP ERPBW
Hortonworks Data Platform
Partner Hadoop Distributions
29
The Internet of ThingsSAP’s Strategy: Driving Customer Value
Timo ElliottInnovation Evangelist
Internet of content Internet of
people
Internet of things
Internet of Things is connecting information, people, and things
31
IoT is relevant to all of usTHE INTERNET OF THINGS
Healthcare & Life Science
TransportationIndustrial
Consumer& Home
Energy
Buildings IT & Networks
Security/Public Safety
Retail
Public
Enterprise
Surveillance
Emergency Services
TrackingEquipment
Public Infrastructure
Radar/Satellite, Enviorn,
Military Security, Unmanned,
Fixed
Weapons, Vehicles, Ships, Aircraft, Gear
Human, Animal, Postal, Food / Health, Packaging, Baggage
Water Treatment, Building Environ, Gen. Environ, SurveillanceEquip. & Personnel, Police, Fire, Regulatory
Jeeps, Cars,Ambulances
Breakdown,Lone Worker
Tanks, Fighter Jets
Battlefield Comms
Homeland Security,Fire
Environ, Monitor, etc.SpecialtyHospitality
Stores
Fuel Stations, Gaming, Bowling, Cinemas, Discos,
Special EventsHotels, Restaurants,
Bars, Cafes, ClubsSupermarkets, Shopping
Centers, Single Site,
Distribution Centers
POS Terminals
Tags
Cash Registers
Vending Machines
Signs, etc.
IT / Data Center, Office,
Private Nets
Services, E-Commerce,
Data Centers, Mobile
Carriers, Fixed Carriers,
ISPs
Servers
Storage
PCs, Routers
Switches
PBXs, etc.
Non-Vehicular
Trans
Systems Air, Rail, MarineTolls, Traffic Mgmt.,
NavigationVehicles
Consumer, Commercial,
Construction, Off-Hiway
Vehicles, Lights, Ships
Planes, Signage
Tolls, etc.
Distribution
Converting / DiscreteFl
uid
/ Pr
oces
ses
Reso
urce
Au
tom
atio
n
Pipelines, Material
Handling, Conveyance
Metal s, Paper,
Rubber / Pl astic , M
etal working, Elect ronics ,
Assembl y, Test
Petro
-Che
m.,
Hydr
o Ca
rbon
s, F
ood
/ Be
vera
ge
Mini
ng, I
rriga
tion,
Ag
ricul
tura
l, W
oodl
and
Assembly / Packaging, Vessels / Tanks, etc.Motors, Drives,
Converting Fabrication
Pumps, Valves, Vats, Conveyors, Pipelines
Care
Rese
arch
Hospital, E
R, Mobile
POC, Clinic,
Labs,
Doctor O
ffice
Drug
Disc
over
y,
Diag
nosti
cs, L
abs
MRI, PDAs
Implants, Surgical Equipment
Pumps, Motors
Telemedicine, etc.
In Viv
o /
Home
Impla
nts, H
ome
Monito
ring S
ystem
s
Infrastructure
Convenience &
EntertainmentWiring, Network, Access,
Energy Mgmt.
HVAC / Climate,
Lighting, Appliance,
Entertainment
Awareness &
Safety
Security / Alerts, Fire Safety,
Environ Safety, Elderly,
Children, Power Protection
Digital Cameras
Power Systems, MD
Dishwashers eReaders
Desktop Computers
Washers / Dryers
Meters, Lights, TVs, MP3
Game Consoles, Lighting
Alarms, etc.
Supply / Demand
Oil / Gas
Power Gen, Trans & Dist, Low Voltage, Power Quality, Energy Mgmt.
Rigs, Derricks, Well
Heads, Pumps, Pipelines
Turbines
Windmills
UPS
Batteries
Generators
Meters, Drills
Fuel Cells, etc.
AlternativeSolar, Wind,
Co-Generation, Electrochemical
Commercial / Institutional
Office, Education, Retail,
Hospitality, Healthcare,
Airports, Stadiums
HVAC
Transport
Fire & Safety
Lighting
Security
Access, etc.
Industrial
Process, Clean Room, Campus
APPLICATION GROUPSSERVICE SECTORS
LOCATIONS
DEVICES
APPLICATION GROUPS
SERVICE SECTORS
LOCATIONS
DEVICES
Beecham Research
32Connected Utilities
Connected healthcare
Connected cities
Connected car
Real-time replenishment
IoT will touch almost every aspect of life & business
Connected retail
Connected asset management
Responsive supply chains
Connected logistics
Predictive maintenance
Connected buildings
Responsive manufacturing
Empowering Individual Performance
Sensors Enable New Processes and Applications
Weissbeerger Beverage Analytics
Networked Crane Safety
Smart Washrooms
Information Ecosystems
38
41
© 2014 SAP AG. All rights reserved. 42
SMARTVENDING
© 2014 SAP AG. All rights reserved. 43
© 2014 SAP AG. All rights reserved. 44
Smart Vending
© 2014 SAP AG. All rights reserved. 45
Smart Vending Real-Time Executive Monitoring
Confidential
Connected Cars
Internet of Things for Business – only from SAP
Maturity
… core business operations with billions of internet-enabled things to gain new insights by combining business data with machine data
.. existing business processes with predictive, context-based and automated insights from the edge of the network
.. business and customer’s experience with new business models, products & services
Connect
Transform
Reimagine
Added Value for the Company
Supportingtechnologies:
Big Data Cloud Mobile Analytics Integration
© 2011 SAP AG. All rights reserved. 49Internal
SAP will deliver IoT applications, platforms, and facilitate extensions of IoT solutions
6 months 1-2 years Long Term
50 billion things will join the workforce, moving biz processes to the device/edge of the networkOur strategy is to grow revenue by IoT enabling core industry, and next generation solutions for millions of human users while expanding our platform market by adding devices
Sell IoT Enabled LoB/Ind SaaS
Enable SAP Solutions(IoT enabled LOB/Ind Solution)
Extend for Custom Solutions(Platform to enable Partner development)
Embed with Hardware partnerships(HCP integration to customize apps)
© 2011 SAP AG. All rights reserved. 50Internal
SENSORS
THINGS
CONNECTOR
TRANSPORT
10’s of billions of connected things
Private and public networks
High-performance compute infrastructure
Deconstructing the Internet of Things
© 2011 SAP AG. All rights reserved. 51Internal
SAP HANA Cloud Platformthe Internet of Things enabled in-memory platform-as-a-service
SAP HANA Cloud Platform
User / Developer Experience
Data Center
Infrastructure Services
Data Models Predictive Search Spatial Rules …
Common API Layer
Storage …
SAP IoT connector
SAP Business
Suite
3rd-party apps and services
Runtimes
Stream/Event Processing
Identity Management
Document Management Mobile …Device
Integration
External Data
SourcesPartner / 3rd party
integration
SAP, partner and custom
apps
ApplicationServices
© 2011 SAP AG. All rights reserved. 52Internal
SAP HANA Cloud Platform - the Internet of Things enabled in-memory platform-as-a-service
Machine Cloud (SAP)
HANA CloudIoT Services
End Customer(On site)
Business owner(SAP Customer)
HANA Cloud Integration
Business Suite Systems
(ERP, CRM , etc.)SAP
ConnectorDevice
HANA Big Data Platform
Data Processing Extended Storage
Hadoop
In-Memory Engines
Streaming
Storage∞
HANA Cloud Platform
Machine Integratio
n
Process Integratio
n
IoT Applications(SAP, Partner and
Custom apps)
Enabling the Internet of Things with SAP solutions
SAP Predictive Maintenance &
Service
SAP Connected Logistics
SAP Connected
Plant
SAP Connecte
dRetail
SAP Augmented
Reality
SAP Predictive Maintenance and Service
MaintenanceEngineer
Service Engineer
Installation and repair services
Remote Service Management New business models around the device
Service Technician
Asset Manufacturer
Asset Operator
CRM, Customer Service
Enterprise Asset Management
Predictive Maintenance for critical assets
3rd Party Service Provider
Physical Asset Level
SAP HANA Cloud Platform
John Deere – reimagining business models
"We are moving from a manufacturing company
to a solutions-based enterprise"
© 2011 SAP AG. All rights reserved. 56Internal
Keaser Compressors – reimagining customer service
“Our predictive maintenance solution has enabled us to proactively attend to
maintenance needs and increase service levels for customers“
© 2011 SAP AG. All rights reserved. 57Internal
Allows warehouse picker to complete daily tasks without using a scanning device
Handling units, locations, products, stations and any other required scans
Quantity confirmation Completion of warehouse tasks and orders
Relevant information is displayed to the user when needed without having to request the information
•Simplified Authentication Authentication on the SAP System thru QR-Code scan Compatible with SMP 3.0
•Hands-Free Application Required inputs are managed through voice recognition All warehouse picking steps can be completed without gestures
or touch events
SAP AR Warehouse Picker
© 2011 SAP AG. All rights reserved. 58Internal
Allows the field service technician to have access to Visual Enterprise models with instructions anywhere in a hands-free experience
• Enables service technician to perform the necessary operations using a companion application for SAP Work Manager
Includes an expert calling feature which allows a remote expert to give directions to a colleague while seeing through the head-mounted display
Complete Hands-Free experience to allow the service technician to perform tasks while getting the needed information
3D model rendering with audio/visual steps from Visual Enterprise
Voice recognition
SAP AR Service Technician
© 2011 SAP AG. All rights reserved. 59Internal
SAP Connected Logistics
SAP HANA Cloud PlatformLogistics
Container
Asset investmentmanagementInfrastructure
OnDemandServices & Offerings
form SAP and 3rd party
Sea routes or canalsMonitoring
Telematics offeringsGeo- and Traffic
monitoring & controlIn the terminal
loading & unloading
“Our aim is to gradually interconnect all modes of
transport – from waterways and roads all the way to the
railway”
Hamburg Port Authority - steering course for the connected port of the future
SAP Connected Manufacturing
Quality DepartmentEH&S
Performance Management
VP OperationsSustainable Operations
Quality Management
Production Planning
Materials ManagementPhysical Asset Level
SAP HANA Platform
© 2011 SAP AG. All rights reserved. 62Internal
Harley Davidson – enabling responsive manufacturing with SAP Connected Plant
Reduced lead time to produce customized
motorbikes from 21-day cycle to 6 hours!
63
SAP Internet of Things for Business!
Connect | Transform | Reimagine
Thank you!http://www.sap.com/iot
@SAP_IoT
SAP Internet of Things
SAP Internet of Things
Timo Elliott, Innovation EvangelistTimo.Elliott@sap.comTimoElliott.com@timoelliott