welcome to the age of big data in banking

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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 2013

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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

© 2013 SAP AG. All rights reserved. 4

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

© 2013 SAP AG. All rights reserved. 5Public

Bringing together multiple technologies creates value

BIG Data Analysis

Risk Finance CustomerHR FS Context

++

Compelling Value

© 2013 SAP AG. All rights reserved. 6Public

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

© 2013 SAP AG. All rights reserved. 7Public

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

© 2013 SAP AG. All rights reserved. 8Public

Commonwealth Bank of Australia

© 2013 SAP AG. All rights reserved. 9Public

Mr. Fuad MohamedVP Emirates NBD

Clemens PraendlSVP EMEA Analytics SAP

© 2013 SAP AG. All rights reserved. 11Public

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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© 2013 SAP AG. All rights reserved. 12Public

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

1 2 3

© 2013 SAP AG. All rights reserved. 13Public

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

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