20130618 presentation big data in financial services English

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20130618 presentation big data in financial services English

  1. 1. Big Data in Financial Services Pascal Spelier, June 18th 2013
  2. 2. 2   715 MB DNA information
  3. 3. 3   105 million GB in an ejaculation
  4. 4. 4   Big Data, buzz word or serious business
  5. 5. 5   Trend 1 Mobility
  6. 6. 6  
  7. 7. 7   Trend 2 Social Media
  8. 8. 8   30.000 years ago What’s New?
  9. 9. 9   Trend 3 Cloud Computing
  10. 10. 10   Trend 4 Big Data
  11. 11. 11  
  12. 12. 12   90% of the data in the world today has been created in the past 2 years alone Volume   Velocity  
  13. 13. 13   More than 3.000 books published each day Volume   Variety  
  14. 14. 14   : Masterplan to scan all books Volume   Variety  
  15. 15. 15   Data visualization Facebook
  16. 16. 16   Tweets per hour Fri 7th – 15:55-16:55 Source:  www.tweetping.net   Volume   Variety   Velocity  
  17. 17. 17   Volume   Variety   Velocity  
  18. 18. 18   Volume   Variety   Velocity  
  19. 19. 19  
  20. 20. 20   Big…
  21. 21. 21   Bigger… Yotabytes, Yotabytes & Yotabytes
  22. 22. 22   Biggest… 40.000 exabytes 20.000.000.000.000.000.000 pages of text
  23. 23. 23   Gartner Hypecycle
  24. 24. 24   The new technology gold rush: data
  25. 25. 25   It starts with… datamining
  26. 26. 26   From data to information, from information to intelligence
  27. 27. 27   Intelligence is Value
  28. 28. 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. 29. 29   What does the future of Big Data look like?
  30. 30. 30  
  31. 31. 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. 32. 32   Voorbeelden   Big Data is out there, Let it work for your organization
  33. 33. 33   -  Segmentation -  Customer Journey -  Pricing & Promotions -  Product & Content -  Processes -  Social Media Several applications of big data:
  34. 34. 34   Online banking simplified Fast Banking
  35. 35. 35  
  36. 36. 36  
  37. 37. 37   Groupon for financial services Transaction Driven Marketing Loyalty & rewards
  38. 38. 38  
  39. 39. 39   Pay As You Drive Premium per mile
  40. 40. 40   Pay How You Drive Insurance
  41. 41. 41   Achmea Dynamic Pricing
  42. 42. 42   Big Data at the Rabobank
  43. 43. 43   Big Data at the Rabobank
  44. 44. 44   Sentiment, a predictor of share prices…
  45. 45. 45     Source: Bart Götte et al (2010) Online Reputation benchmark Retail banking …or maybe not
  46. 46. 46   Start-‐up uses Big Data for loan approval
  47. 47. 47   Early Flagging: Improved risk assessment for mortgages
  48. 48. 48  
  49. 49. 49   What do people do all day? Source: www.timeu.se, by Scott Golder, Cornell University
  50. 50. 50   Aggregated transaction data is valuable
  51. 51. 51   Analyzing payments and creating opportunities
  52. 52. 52   Data, Data, Data…
  53. 53. 53  
  54. 54. 54  
  55. 55. 55  
  56. 56. 56   Credit Card Crunching
  57. 57. 57   European Commission: “You’re renting the information from an individual”
  58. 58. 58   Privacy as a currency
  59. 59. 59  
  60. 60. 60  
  61. 61. 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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