Welcome to the Age of Big Data in Banking

Welcome to the Age of Big Data in Banking

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  Welcome to theAge of Big Data Andy Hirst VP SAP Fuad Mohamed - VP Emirates NBD Clemens Praendl SVP SAP
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  “Data is the newOil ” – Clive Humby
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  Data Users 2020 75% need access 2014 2012 20% have access 40% needaccess +80% per year
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  The Intelligent Bank Betterunderstand 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 © 2013 SAP AG. All rights reserved. 4
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  Bringing together multipletechnologies creates value + BIG Data Analysis + Risk Finance Customer HR FS Context Compelling Value © 2013 SAP AG. All rights reserved. Public 5
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  Six „Laws‟of BigData • 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 © 2013 SAP AG. All rights reserved. Public 6
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  Key opportunity areasfor Big Data Customer Scenarios in Banking Segmentation and Campaigns Identify , target and track performance e of campaigns. Run detailed segmentation models and visualize results Large Scale Branch Reporting Understanding branch performance, product sales vs target , net money inflows 360 View of Relationships Transactions Analysis 360 view of corporate product portfolios, managing the customer lifecycle, real-time product recommendations, to empower corporate officers at point of interaction 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 Customer Sentiment Analysis Payment Channels Data Effective “voice of the customer” capture, web traffic ,social media monitoring with proactive engagement and brand awareness Capture and analyse data from new payment channels to aggregate and sell to third parties or to better inform internal marketing strategy © 2013 SAP AG. All rights reserved. Public 7
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  Commonwealth Bank ofAustralia © 2013 SAP AG. All rights reserved. Public 8
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  © 2013 SAPAG. All rights reserved. Public 9
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  Mr. Fuad Mohamed VPEmirates NBD Clemens Praendl SVP EMEA Analytics SAP
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  Questions 1 What scenarios are drivingthe Big Data projects In ENBD? © 2013 SAP AG. All rights reserved. 2 What infrastructure do you need to establish in ENBD to cope with data surge? 3 What is the ROI for ENBD for these projects? 4 How important is real-time info to Emirates NBD? Public 11
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  Questions 1 What are the trendsyou see driving current scenarios projects © 2013 SAP AG. All rights reserved. 2 What are some of the current challenges with Big Data projects 3 How can banks reduce the risk in Big Data projects Public 12
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  Questions Advice for thoseembarking on Big Data projects ? © 2013 SAP AG. All rights reserved. Public 13
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  Thank You! Clemens Prandl SeniorVice President of EMEA Business Analytics SAP Deutschland AG & Co. KG Homberger Strasse 25 D-40882 Ratingen, Germany