Big Data in Financial Services Pascal Spelier, June 18th 2013
20130618 presentation big data in financial services English
Jan 29, 2015
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
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%
Usef
ul if
Ta
gged
an
d An
alyze
d
3%
Tagg
ed
0,5%
Analy
zed
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 [email protected]
Bedankt!
Related Documents
