Sap realtime analytics_banking

Insight Driven Banking: Unleash the Power of Your Data with Real-time Analytics

© 2013 SAP AG. All rights reserved. 2 Internal

Today with

classical

RDBMS

Transactional

Processing Analytical

Processing

Data

Warehousing

Transactional

Data Info

Cubes

Analytical

Results

Calculate Aggregate Visualize

Analyze

Real-time Analytics – the Challenge


Real-time Analytics – the Challenge


Two Game-Changing Hadware Trends – The Paradigm Shift


Today with

classical DB

Transactional

Processing Analytical

Processing

Data

Warehousing

Transactional

Data Info

Cubes

Analytical

Results

Calculate Aggregate

Visualize

Analyze

Real Time Transactional and

Analytical Processing

Transactional

Data

Calculate & Aggregate &

Visualize & Analyze & Act

With

SAP HANA

Real-time Analytics – the SAP Solution

© 2013 SAP AG. All rights reserved. 6

SAP HANA, modern platform for real ‘real-time’

What is SAP HANA? SAP HANA is a modern platform that

leverages the power of in-memory computing

Can be deployed as an appliance or

delivered via the cloud

Enables to drive businesses in real-time on

an ever increasing massive volume of data

© 2011 SAP AG. All rights reserved. 7 Public

Supports any Device

Any Apps Any App Server

SAP Business Suite

Other Apps Locations Real-time HADOOP Machine Unstructured Transaction

SAP HANA Platform

SQL, SQLScript, JavaScript

Integration Services

Spatial

Business Function

Library

Search Text Mining

Predictive

Analysis Library

Database

Services

Stored Procedure

& Data Models

Planning Engine Rules Engine

Application & UI

Services

SAP HANA Platform – More than just a database

SAP HANA Platform Converges Database, Data Processing and Application Platform

Capabilities & Provides Libraries for Predictive, Planning, Text, Spatial, and Business

Analytics to enable business to operate in real-time.

SAP BusinessObjects BI

© 2011 SAP AG. All rights reserved. 8 Public

Use Case: Liquidity Risk Management KPIs with Real Data - Impact on End to End Processing

End to End: 48 hours

10 mins 10 sec

=> Speed not for the sake of speed but to create tangible benefits

60+

minutes

1 second

220 Mio Cash Flows

Standard HANA

4.000x faster

End to End:

From 2 days

down to 10 min

“Proposed intraday liquidity reports ‘not feasible’, banks say. Basel Committee's proposed new

reports on daily liquidity needs would involve "thousands upon thousands" of data points.

Risk Magazine, Sept 2012

How will this help your business?


How SAP HANA helps Banking

Opportunities for your business

Fast and accurate Risk Reporting

Support regulatory Compliance

Manage liquidity risks in real time to compare asset values globally

Real time fraud detection & action

Real Time Analytics in Capital Markets

Transactional

Banking Sales, Service,

Marketing

Financial

Accounting

Operations and

IT

Improved customer service (e.g. spending analysis)

Advanced analysis capabilities

Real time analytics and fraud management

Optimize marketing campaigns with customer segmentation and channel analytics

Enhance cross sell opportunities with customer behavior analytics

Use real time branch sales analytics to manage by exception

Accelerated global Financial Reporting

Predictive modeling analytics for finance

Customer retention and acquisition

Support regulatory requirements

Financial analysis on massive data sets

Reduce overall cost of information and IT staff support

Improved IT support

Improve quality of master data

Improved financial management

Strategic Workforce Planning incl. simulations and Reporting

Risk

Management


SAP HANA for Banking use case examples

Transactional Banking






Transactional


Marketing

Financial

Accounting

Operations and

IT














Improved IT support



Risk

Management


Use Case: Credit Card Analytics and Fraud Management Enabled by SAP Fraud Management

Description

Credit Card operator performs analytics on massive data marts

Current situation

Cannot perform analytics on current data volumes in reasonable time

Value proposition

Allow for data mining of transaction data

Ad hoc analysis on large volumes of non-aggregated data

Detect Fraud

Result

Enhanced customer analytics for Financial, Marketing, Customer Service organizations

Fraud Reduction

BI Tools

•Data

Provisioning

and

Integration

Operational

Systems

(SAP and non-SAP)

Transactional

Cards

Detection and

Alerting

Investigation

and Decision

SAP HANA ...



Sales, Service and Marketing






Transactional


Marketing

Financial

Accounting

Operations and

IT














Improved IT support



Risk

Management


Use Case: Channel Analytics Enabled by SAP Predictive Analysis

Description

Manage communication with customers via different channels (ATM, call center, online banking, mail, branch, ...)

Current situation

Massive scale of data mart prohibits analytics to be performed in a timely manner.

Value proposition

Understand customer behaviors and trends in real time

Result

Conduct churn management to minimize loss of customers

Gain insights with advanced statistics

Optimize targeting and customer segmentation

Anticipate customer behaviors and make personalized offers and promotions

SAP Predictive Analysis


Use Case: Leverage customer understanding Enabled by SAP Audience, Discovery and Targeting

Description

Analyze your customers (e.g. customer segmentation) and gain more insights

Current situation

Massive scale of data mart prohibits analytics to be performed in a timely manner.

Value proposition

Obtain real-time visibility of customer value

Result

Analyze your customer and their behavior

Identify right target audience for your offers

Improve campaign effectiveness

Turn insight into action with personalized target lists

Grow revenue – invest the right resources into the right customers, products and channels

SAP Audience Discovery and Targeting

SAP Customer Value

http://demo.tdc.sap.com/SpeedDemo/6975d96f0c7509d1/


Use Case: Accelerate your Insight into Market Sentiments Enabled by SAP Sentiment Intelligence

Description

Analyze your sources and channels and gain more insights

Current situation

Increased data volumes through unstructured data.

Value proposition

Data harvesting from social media like Twitter, Facebook, blogs etc

Text data processing capabilities for aggregation and insight into unstructured data

Result

Gain insights into customer requests for lead generation, product/service issue and topics/context around market sentiments

Be proactive to improve your customer satisfaction

CRM (SAP and Non-SAP)

Online text sources

Social media

Sentiment

Intelligence

SAP Data Services

Data Extraction

Transfer and Loading

(ETL)

UI5/Toolkit, BI,

Visual Intelligence

Insight to Action

SAP HANA

Text Analysis

(NLP)

SI Models & Views



Risk Management






Transactional


Marketing

Financial

Accounting

Operations and

IT














Improved IT support



Risk

Management


Use Case: Accelerate Accounting Processes Enabled by SAP Accounting for Financial Instruments

Description

Complete daily Financial Accounting processing

Accelerate Fast-Close

Eliminate time consuming and error-prone reconciliation processes

Current situation

Time and resource intensive closing processes

Value proposition

Run the end-to-end Accounting process chain daily for the complete portfolio

Allow OLTP-based reporting without expensive data replication

Significantly reduce data volumes

Result

Accelerate process and Improve financial performance



Operations and IT






Transactional


Marketing

Financial

Accounting

Operations and

IT













Improved IT support


HR – Retirement Planning

Strategic Workforce Planning incl. simulations

Risk

Management


Use Case: Improved IT Support and reduced TCO Enabled by SAP HANA as primary or secondary database

HANA as

secondary database

Data replication

HANA DB

Reporting

+

Application

Classic DB

Application

HANA as

primary database

HANA DB

No data replication

Reporting

+

Application

Application

Description

Usage of in-memory databases to improve service support

Streamlined system landscapes

Current situation

Complex system landscapes and huge data duplications

Continuous cost pressure

Value proposition

Streamlined system landscape through direct access without need for duplications

Fast access for Business Users to all relevant data

Result

Improved IT Service

Simplified landscapes resulting in lower TCO


Summary

■ Accelerating analytics and insights on massive volumes of data

■ Users can get answers faster

■ Less IT investment, e.g. no pre-define queries or aggregated data ■ Customer example: Aareal Bank Group can now do in- Time

analysis to react on market needs

■ Alter business processes leading to decisions that enable much

greater scale of savings across the company.

■ Customer example: Commonwealth Bank use analytics to

make offers to profitable customers in agile manner

■ Rethink businesses based on the speed of HANA

■ Customer example Investment Management Software Company

Global Financial Technology accelerate the analysis of stock

portfolio running proprietary models to calculate the most

optimal holding duration that maximizes stock return; With

HANA the process is 10,000 times faster

Value Proposition Scenario

Real-time

Analytics

Real-time

Business

Process

Real-time

Business

Models

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Sap realtime analytics_banking

Business

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