Welcome to the Age of Big Data! Intelligent Data Analytics for Banking Andy Hirst - VP Banking Solutions - Singapore October 2014

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1 Welcome to the Age of Big Data! Intelligent Data Analytics for Banking Andy Hirst - VP Banking Solutions - Singapore October 2014

2 Digital Technology will change Banking forever Banking is Evolving Money is the ultimate digital service New data led services evolving Banks need to innovate to continue to grow Received Message Thanks. The payment was successfully made. INVOICE #: AMOUNT: $10, NAME: ANDRZEJ SUPE 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 2

The Intelligent Bank of the Future Better understand and serve customers Mitigate risk, comply, reduce fraud Real Time Financials Monetize Data

3 The Intelligent Bank of the Future Better understand and serve customers Mitigate risk, comply, reduce fraud Real Time Financials Monetize Data Real-time data platform Unwire the business Predict the future & visualize 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 3

4 Trends Driving Analytics Market place Cloud Mobile Agile Visualization Advanced Analytics& Predictive Big Data Enterprise Business Intelligence Collaboration

Credit Card Fraud Credit Scoring Customer Targeting and acquisition Customer Cross-

5 Use Cases for Predictive Analytics in Banking Marketing Sales & Services Risk & Compliance Customer Acquisition Customer Management Fraud Risk Customer Segmentation Customer Service Credit Card Fraud Credit Scoring Customer Targeting and acquisition Customer Cross- Sell/Up-Sell Sanctions Compliance Risk Profiling Customer Lifetime Value Anti Money Laundering Detection

The Use Cases Driving Big Data Deployments Customer Finance Big Data & Analytics Risk & Fraud

Cloud Service Innovation Structured data Unstructured data Visualization

13 Preventing Financial Crime Big Data Structured data Innovation Visualization

The Use cases driving Big Data deployments

Fraud Innovative data Monitization 2014 SAP AG

18 Six Laws of Big Data The faster you analyze bank data, the better the predictive value. Industry Moving from Batch to real time Maintain one copy not dozens of your data the more you copy and move the less reliable Use more diverse data, not just more internal and external social data Data has value far beyond what you originally thought do not throw away data. (E.g. Payments traffic data) Put data and humans together to get the most insight an art not a science sometimes Solve a real banking pain point Where having real time data creates value 2014 SAP AG or an SAP affiliate company. All rights reserved. Public 18