SAP Real Time Analytics Use Cases for Banking Aslihan Akin/Jörg Bartelt SAP Forum Turkey, September 20 th , 2013
Jan 27, 2015
SAP Real Time Analytics Use Cases for BankingAslihan Akin/Jörg BarteltSAP Forum Turkey, September 20th, 2013
© 2013 SAP AG. All rights reserved. 3
Industry & Market Dynamics
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Retail and Commercial Banking Value MapComprehensive solutions for commercial and retail banking
Retail Banking Operations
Retail Deposits
Retail Lending
Centralized Payment Processing
Finance Finance TransformationPerformance Management
Finance and Risk Data Management (IFRA)
Collaborative Finance Operations
People andTalent
Core Human Resources and Payroll
Talent ManagementWorkforce Planning and
Analytics
ProcurementSupplier Discovery and Lifecycle Management
Strategic Sourcing and Contracting
Procurement and Order Collaboration
Collaborative Invoiceto Pay
IT ManagementApplication Lifecycle
ManagementIT Infrastructure
ManagementIT Portfolio and
Project ManagementIT Service Management
IT Strategy and Governance
Multichannel
Mobile Customer
Internet Banking
Call Center
Automated Teller Machines
Sales and Service
Customer Acquisition
Customer Management
Social Media Engagement
Risk and Compliance
Credit Risk Management
Liquidity Risk Management
Governance, Compliance and Surveillance
Enterprise Risk Reporting
Commercial Banking Operations
Cash and Liquidity Management
Commercial Lending
Leasing
Financial Services Network
Technology Solutions
Analytics Consumer ExperienceData Management Enterprise Mobility
SAP HANA Platform
Application Develop-ment and Integration
© 2013 SAP AG. All rights reserved. 5
An Innovative Approach to AnalyticsWhat is SAP HANA?
Yesterday Today
Disk
Partitioning
Insert Only on Delta Compression
Row and Column StoreNo aggregatesMemory
++
+ +
Memory
Logging and Backup – Solid State / Flash / HDD
CPU
Multi-CoreMassively ParallelSingleOptimized Platform
64-bit address spacesupports 2TB RAM
100GB/s throughput
Software and data reside on HDD
• IO constraint• Support many platforms• Optimized for None
• Take advantage of latest advances in hardware• Minimum IO time• Optimized for x86 platform
Disk
CPU
+
© 2013 SAP AG. All rights reserved. 6
SAP HANA appliance software
SAP HANA™ In-Memory software + hardware
(HP, IBM, Fujitsu, Cisco, Dell) Data Modeling and Data Management Real-time Data Replication SAP BO Data Services for ETL capabilities from
SAP Business Suite, SAP Business Warehouse (SAP NetWeaver BW), and 3rd Party Systems
SAP NetWeaver as In-Memory app. server
Capabilities Enabled Analyze information in real-time at unprecedented
speeds on large volumes of non-aggregated data Create flexible analytic models based on real-time
and historic business data Build new category of applications (e.g., planning,
simulation) to significantly outperform current applications
Minimize data duplication
SAP HANA
SQL MDXBICSSQL
SAP BusinessObjects
toolsOther query tools
SAP BusinessSuite
Other data sources
SAP NetWeaver Business
Warehouse
SAP HANA Studio and Modeler
SAP In-Memory Database
Calculation and Planning Engine
Row & Column Storage
Real-Time Data Replication
SAP Business Objects Data
Services
SAP NetWeaver
Banking Real Time Analytics Use Cases
Click icon to add picture
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SAP Analytics & HANA for BankingUse Cases – Main Categories
Today Banks can run new business, they could never before Manage fraud risk with real time analytics Enhance cross-sell and up-sell opportunities with predictive customer behavior analytics� Discover new business areas for customer specific servicing with sentiment intelligence, etc.
or they can better run their current business (time-to-market, TCO)
© 2013 SAP AG. All rights reserved. 9
Business Analytics Scenarios in 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
Core Applications
Sales, Service, Marketing
Financial Accounting
Operations and IT
Improved customer service (e.g. spending analysis)
Advanced analysis capabilities
Real time operational reporting
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
SAP Customer Engagement Intelligence
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. 10
SAP HANA for Banking use case examplesTransactional 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 operational reporting
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. 11
Use Case: Credit Card Analytics and Fraud ManagementEnabled by Custom Development and 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
CardsDetection and
Alerting
Investigation and Decision
SAP HANAIn-
Mem
ory
...
© 2013 SAP AG. All rights reserved. 12
SAP HANA for Banking use case examplesSales, 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 operational reporting
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. 13
Use Case: Channel Analytics and Customer Segmentation Enabled by Custom Development and 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
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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 ServicesData Extraction
Transfer and Loading
(ETL)
UI5/Toolkit, BI, Visual Intelligence
Insight to Action
SAP HANAText Analysis
(NLP)SI Models & Views
© 2013 SAP AG. All rights reserved. 15
SAP HANA for Banking use case examplesRisk 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 operational reporting
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. 16
Use Case: Liquidity Risk ManagementKPIs 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
StandardHANA
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
© 2013 SAP AG. All rights reserved. 17
Monitor key performance indicators
Manage alert workload with efficient evaluation, qualification and remediation of fraud
Execute mass and real-time detection and stop suspicious business transactions
Define fraud detection strategy through simulation and calibration
Analyze fraud patterns and define detection rules and models
Use Case: Achieve effective fraud managementEnabled by SAP Fraud Management powered by HANA
SAP HANA
In-Mem
ory
* Can be preformed with SAP HANA studio, SAP Predictive Analysis (option) or 3 rd-party tools
BI Tools
• Data Provisioning
and Integration
Operational
Systems (SAP and non-SAP)
Transactional
CardsDetection and
Alerting
Investigation and Decision
SAP HANAIn-
Mem
ory
...
High performance processing of very large data volumes
© 2013 SAP AG. All rights reserved. 18
SAP Rapid Deployment solutionsExample: Enterprise Risk Reporting
Fast & Simple
• Gain fast time to value with seamless rapid-deployment tools, embedded best practices
• Speed end-user adoption with guides and educational materials
Example: Enterprise Risk Reporting RDS
A complete solution
Deployed in weeks
© 2013 SAP AG. All rights reserved. 19
SAP HANA for Banking use case examplesFinancial Accounting
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 operational reporting
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. 20
Use Case: Real Time Daily Balance and Line Item DetailEnabled by Custom Development
Description Point in time Spot & Average Balance
calculations and Liquidity position.
Current situation No Intra Day insight into Financial Position
across Spot and Average Balances
Value proposition Provide real time access to financial
operational key figure reporting
Result Real Time informed decisions regarding
opportunities and risks by managing Balance Sheets
Bank Sub-
ledger
© 2013 SAP AG. All rights reserved. 21
Use Case: Real-time Financial Reporting/AnalysisEnabled by Custom Development
Description Real-time financial reporting/analysis allowing
organizations to understand their current financial position and management to quickly adapt to opportunities and address problems.
Current situation Financial closing often requires week. Slow
financial results are not as actionable as it could be if received sooner.
Value proposition Analysis of the factors (down to transaction
level) that drive revenues, expenses and shareholder value across product, customer, channel, etc.
Result Improve financial performance by implementing
more effective financial management. Enabled by custom development
© 2013 SAP AG. All rights reserved. 22
Use Case: Finance & Risk Data ManagementReasons to rethink the Information Management Landscape
Transports
SO
A/E
nt. S
hare
d S
ervi
ces
Bac
kbo
ne
SO
A/E
nter
pris
e S
hare
d S
ervi
ces
Bac
kbo
ne
Metadata ManagementEnvironment
External Datasources
Transactional Data Sources
(Internal Sources within ICG, GCG, PB, LCB)
Reference/MasterData Sources
(Includes LOB OperationalMaster data)
Centralized Staging Area
Data Acquisition Data Integration Information Access and DeliveryData Storage and Aggregation
ValidationCleansingMatchingDeduping
CertificationControl & Audit
IntegrationTransformation
AggregationCalculation
Reconciliation
A
Application
Process
Repository
Capability
Landing Zone
C/ER/F ODS
Adjustments / Restatements /
Corrections
Regional DataSources
(LATAM, EMEA, NA, APAC)
A
DQ2
BR
Data Quality ManagementFramework
Data Quality Learning Repository
Data Profiling
Quality Rating
DQ Reporting & Dashboarding
Data CleansingRecord Level
Validation
Business Rules Processing/ Management
Business RulesRepository
Common RulesProcessing
Business RulesEngine
DQ1 BR
Lineage Analysis
Impact Analysis
Metadata Reporting
Business Taxonomy
Metadata Capture
Metadata Search
MetadataRepository
Metadata Integration
Information Consumers & Processors
Operational Data Store (ODS)
Data Warehouses
Data Marts
SO
A/E
nter
pris
e S
hare
d S
ervi
ces
Bac
kbo
ne
Data Security and Privacy Management
Encryption Obfuscation
Audit & ControlIdentification
Audit Repository
Role based Access/Mapping
AuthenticationAuthorization
Data Federation
BC
App. Write-backB
OLAP
Query & Reporting
Business Analytics
Data Mining / Predictive Analytics
Data Delivery Services
Notification and Alerts
Calculation Engine/Services
Dashboarding/Scorecarding
Adjustments/updates/Corrections Access Point
Enterprise Search
Enterprise Portals
Event Processing
Business Access Platform
Business Intelligence Platform13
4
5
7
6
8
9
10
11
12131415
Data Acquisition Gateway Data Integration Platform
Near real time messages
Untransformed Data
(per Bus Req)
File Level Validations
DQ2
CommonData
Layout(CDL)
Processor
Analytical Platform
Data Access Platform
MM
MM
SO
A/E
nter
pris
e S
hare
d S
ervi
ces
Bac
kbo
ne
MMC
SP
SP
SP
Reference and Analytical Hierarchy Management
Reference Data Repository
Reference Data Validation
Golden/Master Record Generation
Reference Data Enrichment
RAHM
16
Products Arrangements
Involved Party Location
Event ClassificationAssoc.
RelationshipCondition
Profile Area
Regulatory/Compliance
Resource Item
Summary Area
17
18
ComplianceData Mart
(Trade SurveillanceDue Diligence
AML Monitoring)ComplianceRegulatoryReporting Data Marts
Treasury & Cash Mgmnt
Data Mart
Tax Management
Data Mart PerformanceManagement
Data Mart
Legal VehicleFinancials Data Mart
Credit RiskData Mart
Market RiskData Mart
Operational Risk
Data Mart
Messaging( Real Time )
DBMS
Web Service
SQL Client
File(Batch, intra-day batch, mini-batch
etc)
Real Time Messages(no persistence / no validation)
2
Customer ISG (Wholesale)
CMR (Retail)
Product
Organization
Price/Market Data
Data Sources
LOB Data Sources(Sector owned)
Business Sectors Global Functions
FinanceRegulatory
Reporting Marts
ValidationControl & Audit
IntegrationTranformation &
Aggregation
Messaging(Peer to Peer,
Near Real Time, Pub/Sub )
File(Large Batch)
Real Time Messages
DQ1
Metadata
Business Rules
Security
To Data Marts/Analytical Platform via Data Access Platform
Messaging(Batch)
DQ1
DQ1
DQ1
DQ1
DQ1
DQ1
DQ1
DQ1
Process Quality
Adjustment Calculation
Pricing Calculation
Engine
Match & Merge
Reference Data Synchronization
Legend
Reference Data
Transport Pattern
Data Monitoring
RAHM
C
B
Real Time data (from web services)
DW OuputODS Output
Data Mart Output
BPM/BAM/Workflow Monitoring
Financials / Performance
DW
Human
Capital DW
Wholesale Contracts /
Positions DW
Consumer Contracts /
Positions DW
Wholesale
Transactions DW
Consumer
Transactions DW
Customer / Legal Entity DW
Reference Data
·
Compliance
· Mantas (Trade Surveillance) · Web Pre-Clearance · METSS (Monthly Employee Trading Supervision System) · OARS (Outside Activity Reporting) · Mantas (Anti-Money Laundering) · SAS Analytics · QuickScreen Case Management · SAR (Suspicious Activity Report) Database · Actimize (Sanction and Name Screening)· SPIDER (Local Disclosure of Interest Reporting) · WIN (Want it Now) · Electronic Banking System (EBS)· Shamus (Fair Lending Risk Mgmt.)· CRA (Community Reinvestment Act) Wiz· Fair Lending Wiz· Management Dashboard
Target State Applications
Enterprise Risk
· Wholesale Risk Management/Regulatory Reporting· Wholesale Credit Risk Management Dashboard· Retail Risk Management/Regulatory Reporting Application· Retail Credit Risk Management Dashboard· Market Risk Management Dashboard / Scorecard· Market Risk Management and Regulatory Reporting· Operational Risk Management and Regulatory reporting and
Management Dashboard/Scorecard· Enterprise Risk Dashboard/Scorecard
Finance
· Citi Franchise Database · Contracts/Positions/Balances Warehouse· Counterparty Information Warehouse · Expense Warehouse · Financial Consolidation · International Regulatory · Intra Citi Billing · Management Dashboard · Tax Application · Treasury Application · US Regulatory
Compliance
· eCADD (Electronic Customer Acquisition & Due Diligence)
Enterprise Risk
· Credit Evaluation & Approval Applications · Credit Administration Workflow Integration Applications· Collateral Management and Monitoring Applications· Document Management Application (Banking Book) · OTC Derivatives- Documentation and Management · Securities Financing -Documentation Management · Disbursement Approval and Control Application · Credit Trading Book Limit Management and Monitoring· Collections and Recovery Applications · Economic and Regulatory Capital Calculation Engines · Exposure Aggregation Engines· Wholesale Credit Analytics Applications - (Capital Adequacy, Stress
Testing, Portfolio Limits, Loan Loss Allowance, Loss Forecasting)· Retail Credit Reporting & Analytics - (Capital Allocation, Stress
Testing, Portfolio Limits, Loan Loss Allowance, Loss Forecasting, Collections Analytics, Fraud Analytics)
· Market Risk Capital Calculation Engines· Market Risk Limits Manager· Market Risk Reporting & Analytics - (Capital Adequacy, Stress
Testing, Portfolio Limits, Loan Loss Allowance, Loss Forecasting)· Operation Loss Event Data Capture Application and Issue
Management Application · Risk Control Self-Assessment Application· Operational Risk Loss and KRI data Aggregation Engine · Operational Risk Capital Calculation Engine · Operational Risk Reporting Analytics - (Capital Adequacy, Stress
Testing, Portfolio Limits, Loan Loss Allowance, Loss Forecasting)
Compliance
· Product Control Applications · Accounting Engine · Budgeting & Planning · Finance Rules Engine · Fixed Assets · General Ledgers
Read only Applications
Write-back Applications
Consolidation of system landscape Getting rid of silos and consolidate the
application landscape on one data platform
Modernization Oppenness for integration of new solutions Flixible to extend scope
Leverage potential of technology innovations In-Memory Zero data latency Less materilaization and more virtualization
of data layers
Harmonization of technology stack Rely on a fully integrated technology stack
and reduce diversity of technologies
Address regulatory requirements efficiently Industry Best-Practices (Template approach)
© 2013 SAP AG. All rights reserved. 23
SAP HANA for Banking use case examplesOperations an 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 operational reporting
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. 24
Use Case: Improved IT Support and reduced TCOEnabled 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
… and beyond
Click icon to add picture
© 2013 SAP AG. All rights reserved. 26
Extend Your Analytics Capabilities with Prediction
ANALYTICS MATURITY
CO
MPETIV
E A
DVA
NTA
GE
Sense & Respond Predict & Act
Raw Data
Cleaned Data
Standard Reports
Ad Hoc Reports & OLAP
Generic Predictive Analytics
Predictive Modeling
Optimization
What happened?
Why did it happen?
What will happen?
What is the best that could happen?
The key is unlocking data to move decision making from sense & respond to predict & act
© 2013 SAP AG. All rights reserved. 27
… SAP HANA Predictive Ecosystem
SAP HANA Platform
Data Pre-Processing and Loading
SAP Data Services, Information Composer, SLT, DXC, Hadoop
Predictive Analysis Library
(PAL)SAP HANA Studio
SAP and Custom
Applications
R Integration for SAP HANA
Business Intelligence
Clients
SAP Predictive Analysis
© 2013 SAP AG. All rights reserved. 28
SAP Extends the Power of Predictive Analytics to Unlock Big Data With Acquisition of KXEN, September 10th 2013
Some Customer Examples
Click icon to add picture
© 2013 SAP AG. All rights reserved. 30
Business Warehouse on HANA:BW on HANA LIVE: Three Customer Examples
�Better monitor credit risk and manage the portfolio of property loans
Offer better services through comprehensive customer insights
Credit Risk & Portfolio Analysis Customer Servicing
Business / IT Scenario:
Obtain Customer Credit Information
Ensure Internal and external regulatory requirements
Value Proposition
Ensure Compliance
Improved Management Reporting
Risk Transparency
Compliance & Risk Management
© 2013 SAP AG. All rights reserved. 31
Business Scenarios based on HANAAccelerate and improve Business Processes
Business / IT Scenario:
Risk Management including ad hoc simulation capabilities
Consolidation of data and reporting
Value Proposition
Accelerated Reporting (from 4 hours to 4 min.)
Consolidation of data and reporting
Less Manual effort
Consolidated IT landscape
Business / IT Scenario:
Customer Analytics based on different data sources
Faster Access to relevant information
Value Proposition
Improved Customer Service
Acquire and retain customers
Increase Profitability
Consolidated Reporting Customer Servicing & new business
5,000 events per second loaded onto SAP HANA
10-30% increase in revenue per year. Interactive data analysis leading to improved design thinking and game planning.
Increase conversion rates from freeto paying player
Increase the average revenue per paying player
Decrease churn – keep paying players playing longer
Customer Behaviour Analysis
Summary/Closure
Click icon to add picture
© 2013 SAP AG. All rights reserved. 33
Bringing Together Business And Analytics/Big Data Solution
Develop Transformation Map• Develop & Schedule Next Project Steps to
Achieve the Defined Strategic Objectives• Cost Benefit Analysis• Final Presentation
Identify Use Cases with Innovation/Discovery Workshop• Identify Top pain points to be solved• Identify Value Proposition why is it important
Define Strategic Architecture & Governance• Design To Be Architecture and align with Strategy • Define future Governance/Guidelines and Competence Centre Organization & Processes
Align Vision And Strategy • Align Strategy and Business Strategy• Identify Pain Points and Consequences• Define Success Factors and KPI to Measure Strategy
Run Rapid Deployment Sol.• Develop POC Prototype or start with RDS
© 2013 SAP AG. All rights reserved. 34
Conclusion: Real Time Analytics & Big Data for Banking
Real time on-demand access to source data helps banks & insurances identify customers and products, analyze risk, optimize performance, and limit fraud.
Enterprise wide integration architecture for processes and data flows is a pre-requisite to solve big data problem.
Innovative technology enables actionable insight with massive quantities of real time
data in the main memory of the server to provide immediate results from
analyses and transactions
Jörg BarteltPrincipal Architect (Analytics/HANA)
Global FSI Delivery Services
SAP AGDietmar-Hopp-Allee 16
69190 Walldorf
T +49-6227-7-66855
M +49-160-90823047
www.sap.com
Aslıhan AkınSolution Manager – Banking Industry
SAP TÜRKİYE, Anel iş Merkezi Saray Mah. Site Yolu Sok.
No:5/17 K:6, 34768
Ümraniye / İstanbul
T +90 216 6330434
M +90 530 1730437
www.sap.com