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Big Data in Financial Services
Pascal Spelier, June 18th 2013
2	
  
715 MB
DNA information
3	
  
105 million GB
in an ejaculation
4	
  
Big Data, buzz word
or serious business
5	
  
Trend 1
Mobility
6	
  
7	
  
Trend 2
Social Media
8	
  
30.000 years ago
What’s New?
9	
  
Trend 3
Cloud Computing
10	
  
Trend 4
Big Data
11	
  
12	
  
90% of the data in the world
today has been created in the
past 2 years alone
Volume	
   Velocity	
  
13	
  
More than 3.000 books
published each day
Volume	
   Variety	
  
14	
  
:
Masterplan to scan
all books
Volume	
   Variety	
  
15	
  
Data visualization
Facebook
16	
  
Tweets per hour
Fri 7th – 15:55-16:55
Source:	
  www.tweetping.net	
  
Volume	
   Variety	
   Velocity	
  
17	
  
Volume	
   Variety	
   Velocity	
  
18	
  
Volume	
   Variety	
   Velocity	
  
19	
  
20	
  
Big…
21	
  
Bigger…
Yotabytes,
Yotabytes & Yotabytes
22	
  
Biggest…
40.000 exabytes
20.000.000.000.000.000.000 pages of text
23	
  
Gartner
Hypecycle
24	
  
The new technology
gold rush: data
25	
  
It starts with…
datamining
26	
  
From data to information,
from information to intelligence
27	
  
Intelligence is Value
28	
  
The gap of untapped Big Data
23%	
  
Usefulif
Tagged
and
Analyzed
3%	
  
Tagged
0,5%	
  
Analyzed
Source:	
  	
  	
  IDC’s	
  Digital	
  Universe,	
  sponsored	
  by	
  EMC,	
  December	
  2012	
  
29	
  
What does the
future of Big Data
look like?
30	
  
31	
  

“Big data management is not viewed strategically at senior levels of
the organization.”
56%

“The issue for us is now not the growing volumes of data, but rather
being able to analyze and act on data in real-‐time.”
84%



Source:	
  	
  	
  Report	
  ‘The	
  Deciding	
  Factor:Big	
  Data	
  &	
  Decision	
  Making’,	
  Capgemini	
  en	
  Economist	
  Intelligence	
  Unit,	
  June	
  2012	
  
Three biggest
impediments:
	
  
1)﴿ Too many silo’s, data is not pooled 
2)﴿ Lack of skilled people to analyze the data 
3)﴿ Time taken to analyze large data sets	
  
32	
  
Voorbeelden	
  
Big Data is out there,
Let it work for your 
organization
33	
  
-  Segmentation
-  Customer Journey
-  Pricing & Promotions
-  Product & Content
-  Processes
-  Social Media
Several applications
of big data:
34	
  
Online banking simplified
Fast Banking
35	
  
36	
  
37	
  
Groupon for financial services
Transaction Driven Marketing
Loyalty & rewards
38	
  
39	
  
Pay As You Drive
Premium per
mile
40	
  
Pay How
You Drive
Insurance
41	
  
Achmea
Dynamic Pricing
42	
  
Big Data at the Rabobank
43	
  
Big Data at the Rabobank
44	
  
Sentiment, a
predictor of
share prices…
45	
  
	
  
Source: Bart Götte et al (2010) Online Reputation benchmark Retail banking
…or maybe
not
46	
  
Start-‐up uses
Big Data for
loan
approval
47	
  
Early Flagging:
Improved risk assessment
for mortgages
48	
  
49	
  
What do
people do
all day?
Source: www.timeu.se, by Scott Golder, Cornell
University
50	
  
Aggregated transaction data 
is valuable
51	
  
Analyzing
payments
and creating
opportunities
52	
  
Data,
Data,
Data…
53	
  
54	
  
55	
  
56	
  
Credit Card Crunching
57	
  
European Commission:
“You’re renting the
information from an
individual”
58	
  
Privacy as a
currency
59	
  
60	
  
61	
  
Pascal	
  Spelier	
  
	
  
Managing	
  Consultant	
  
All	
  Channel	
  Experience	
  
	
  
Reykjavikplein	
  	
  1,	
  
Utrecht,	
  	
  The	
  Netherlands	
  
	
  
Mobile:+31	
  (0)	
  6	
  53	
  29	
  90	
  17	
  
pascal.spelier@capgemini.com	
  
Bedankt!

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20130618 presentation big data in financial services English