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

1. Welcome to the Age of Big Data
Andy Hirst VP SAP
Fuad Mohamed - VP Emirates NBD
Clemens Praendl SVP SAP

2. “Data is the
new Oil ”
– Clive Humby

3. Data
Users
2020
75%
need access
2014
2012
20%
have access
40%
need access
+80%
per year

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.
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5. Bringing together multiple technologies creates value
+
BIG
Data
Analysis
+
Risk
Finance
Customer
HR
FS Context
Compelling Value
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6. 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.
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7. Key opportunity areas for 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
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8. Commonwealth Bank of Australia
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9. © 2013 SAP AG. All rights reserved.
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10. Mr. Fuad Mohamed
VP Emirates NBD
Clemens Praendl
SVP EMEA Analytics SAP

11. Questions
1
What scenarios
are driving the
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?
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12. Questions
1
What are the
trends you 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
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13. Questions
Advice for those embarking
on Big Data projects ?
© 2013 SAP AG. All rights reserved.
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14. Thank You!
Clemens Prandl
Senior Vice President of EMEA Business Analytics
SAP Deutschland AG & Co. KG
Homberger Strasse 25
D-40882 Ratingen, Germany