welcome to the age of big data in banking
DESCRIPTION
Big Data in banking presentation from Sibos Dubai 2013 . What are use cases driving deployments in Banking ? See the use cases SAP is involved In banking in 2013TRANSCRIPT
CONFIDENTIAL
Welcome to the Age of Big Data Andy Hirst VP SAPFuad Mohamed - VP Emirates NBDClemens Praendl SVP SAP
Data is the new Oil“
”– Clive Humby
20% have access
2012
75% need access
40% need access
2014
2020
Users
+80%per year
Data
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The Intelligent Bank
Better understand and serve customers
Mitigate risk & comply with regulations
Real Time Financials
State of the art experience
Real-time data platform
Unwire the business
Enable new experiences
Predict & Visualize
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Bringing together multiple technologies creates value
BIG Data Analysis
Risk Finance CustomerHR FS Context
++
Compelling Value
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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. Eg 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
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Key opportunity areas for Big Data Customer Scenarios in Banking
Large Scale Branch Reporting Understanding branch performance, product sales vs target , net money inflows
Transactions Analysis Monitor , track and take action on transaction information in real-time to make new real time offers to better service and meet the needs of the client
Payment Channels Data Capture and analyse data from new payment channels to aggregate and sell to third parties or to better inform internal marketing strategy
Segmentation and Campaigns Identify , target and track performance e of campaigns. Run detailed segmentation models and visualize results
360 View of Relationships 360 view of corporate product portfolios, managing the customer lifecycle, real-time product recommendations, to empower corporate officers at point of interaction
Customer Sentiment AnalysisEffective “voice of the customer” capture, web traffic ,social media monitoring with proactive engagement and brand awareness
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Commonwealth Bank of Australia
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Mr. Fuad MohamedVP Emirates NBD
Clemens PraendlSVP EMEA Analytics SAP
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Questions
What scenarios are driving the Big Data projects In ENBD?
What infrastructure do you need to establish in ENBD to cope with data surge?
What is the ROI for ENBD for these projects?
How important is real-time info to Emirates NBD?
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Questions
What are the trends you see driving current scenarios projects
What are some of the current challenges with Big Data projects
How can banks reduce the risk in Big Data projects
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Questions
Advice for those embarking on Big Data projects ?
Thank You!
Clemens PrandlSenior Vice President of EMEA Business Analytics SAP Deutschland AG & Co. KGHomberger Strasse 25 D-40882 Ratingen, Germany