sap realtime analytics_banking
Post on 28-Nov-2014
143 Views
Preview:
DESCRIPTION
TRANSCRIPT
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
© 2013 SAP AG. All rights reserved. 3 Internal
Real-time Analytics – the Challenge
© 2013 SAP AG. All rights reserved. 4 Internal
Two Game-Changing Hadware Trends – The Paradigm Shift
© 2013 SAP AG. All rights reserved. 5 Internal
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?
© 2013 SAP AG. All rights reserved. 10 Internal
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
© 2013 SAP AG. All rights reserved. 11 Internal
SAP HANA for Banking use case examples
Transactional Banking
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
Improve quality of master data
Improved IT support
Improved financial management
Strategic Workforce Planning incl. simulations and Reporting
Risk
Management
© 2013 SAP AG. All rights reserved. 12 Internal
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 ...
© 2013 SAP AG. All rights reserved. 13 Internal
SAP HANA for Banking use case examples
Sales, Service and Marketing
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
Improve quality of master data
Improved IT support
Improved financial management
Strategic Workforce Planning incl. simulations and Reporting
Risk
Management
© 2013 SAP AG. All rights reserved. 14 Internal
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
© 2013 SAP AG. All rights reserved. 15 Internal
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
© 2013 SAP AG. All rights reserved. 16 Internal
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
© 2013 SAP AG. All rights reserved. 17 Internal
SAP HANA for Banking use case examples
Risk Management
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
Improve quality of master data
Improved IT support
Improved financial management
Strategic Workforce Planning incl. simulations and Reporting
Risk
Management
© 2013 SAP AG. All rights reserved. 18 Internal
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
© 2013 SAP AG. All rights reserved. 19 Internal
SAP HANA for Banking use case examples
Operations and IT
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
HR – Retirement Planning
Strategic Workforce Planning incl. simulations
Risk
Management
© 2013 SAP AG. All rights reserved. 20 Internal
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
© 2013 SAP AG. All rights reserved. 21 Internal
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
0100101011101
0010101001010
0010101001001
01000101110
top related