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Welcome to the Age of Big Data
Andy Hirst VP SAP
Fuad Mohamed - VP Emirates NBD
Clemens Praendl SVP SAP
“Data is the
new Oil ”
– Clive Humby
Data

Users

2020

75%
need access
2014

2012

20%
have access

40%
need access

+80%
per year
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.

4
Bringing together multiple technologies creates value

+

BIG
Data
Analysis

+

Risk
Finance
Customer
HR
FS Context

Compelling Value
© 2013 SAP AG. All rights reserved.

Public

5
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.

Public

6
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

© 2013 SAP AG. All rights reserved.

Public

7
Commonwealth Bank of Australia

© 2013 SAP AG. All rights reserved.

Public

8
© 2013 SAP AG. All rights reserved.

Public

9
Mr. Fuad Mohamed
VP Emirates NBD
Clemens Praendl
SVP EMEA Analytics SAP
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?

Public

11
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

Public

12
Questions

Advice for those embarking
on Big Data projects ?

© 2013 SAP AG. All rights reserved.

Public

13
Thank You!

Clemens Prandl
Senior Vice President of EMEA Business Analytics
SAP Deutschland AG & Co. KG
Homberger Strasse 25
D-40882 Ratingen, Germany

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Welcome to the Age of Big Data in Banking

  • 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
  • 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. 4
  • 5. Bringing together multiple technologies creates value + BIG Data Analysis + Risk Finance Customer HR FS Context Compelling Value © 2013 SAP AG. All rights reserved. Public 5
  • 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. Public 6
  • 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 © 2013 SAP AG. All rights reserved. Public 7
  • 8. Commonwealth Bank of Australia © 2013 SAP AG. All rights reserved. Public 8
  • 9. © 2013 SAP AG. All rights reserved. Public 9
  • 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? Public 11
  • 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 Public 12
  • 13. Questions Advice for those embarking on Big Data projects ? © 2013 SAP AG. All rights reserved. Public 13
  • 14. Thank You! Clemens Prandl Senior Vice President of EMEA Business Analytics SAP Deutschland AG & Co. KG Homberger Strasse 25 D-40882 Ratingen, Germany

Hinweis der Redaktion

  1. What is an intelligent enterprise: The intelligent enterprise leverages the opportunity from the trends of social, mobile, cloud and big data to transform business and do things differently…. WHY SAP? SAP is the only company who can enable anintelligent Enterprise that will take us into the next generation:We’re the only company who has the combination of disruptive and innovative technologies in database, mobile, cloud analytics and design thinking so that our customers can:Better understand and serve their Customer baseAnticipate demand/supplyExperience state of the art experience using Design thinkingLeverage the opportunity of the latest trends -social, mobile, big data, cloud