20130618 presentation big data in financial services English
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20130618 presentation big data in financial services English 20130618 presentation big data in financial services English Presentation 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%   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!