June 11, 2013 Iskander Smit, http://about.me/iskandrBig Data & Social MediaFacebook Marketing Event 2013http://vimeo.com/1...
June 11, 2013Strategy director & managing labs.info.nlmember council Internet of Thingsthinking online services since 1994
June 11, 2013Info.nl§  internet agency since 1994§  connecting the dots for brands that value the power of online§  dig...
June 11, 2013What is BIG in big data?
June 11, 2013(What is big today will becommon tomorrow)
June 11, 2013every day the amount of datadoubles90% of all data originated inthe last 2 yearsGoogle à 5000TB/h
June 11, 2013 https://www.facebook.com/facebook/photos_stream110 songs have been played 40 billion times150 billion friend...
June 11, 2013http://villevivante.ch
June 11, 2013PeopleThingsServices
June 11, 2013VolumeVelocity Varietyhttp://solveforinteresting.com/big-data-is-our-generations-civil-rights-issue-and-we-do...
June 11, 2013PrecogsMemphis CRUSH, police combinescriminal data, personal data withcontext data and real-time analytics
June 11, 2013
June 11, 2013Sources of data§  Online behaviour. From search to browsing§  Social. Facebook likes, youtube shares, linke...
June 11, 2013Source: behaviorBonus kaart
June 11, 2013Source: our lifesmart home
June 11, 2013Source: social behaviorLivehoods based on Foursquare
June 11, 2013Source: ourselvesFrom Fitbit to Moto X
June 11, 2013Ubiquitous time/location stampsiBeacons
June 11, 2013
June 11, 2013Combining dataFacebook customer audiences
June 11, 2013Lookalike profiling expands theprofiles 10 times
June 11, 2013Endless source of data
June 11, 2013Technologies of Big DataHadoop, Mapreduce, Hive, …
June 11, 2013Components in a Big Data system
June 11, 20133 layers (Cloudera)§  substract§  technologies: Open Commute, Linux, ZooKeeper, Puppetchef§  services: Gim...
June 11, 2013McKinsey Global Institute, May 2011.
June 11, 2013Predict behaviorZestCash
June 11, 2013Brokers of dataBazaarvoice
June 11, 2013Knowledgemedicine interactions
June 11, 2013Combining sourcesBina
June 11, 2013Big data analytics, still BI focusedMicroStrategy, Tableau
June 11, 2013A promise of Big Data analytics:Do-It-YourselfBusiness Intelligence
June 11, 2013Search the big dataCloudera search
June 11, 2013Big data is de new online valuepagerank network+effect conversa0ons big+data
June 11, 2013Tiny services
June 11, 2013The value of big data is in thepersonal services you create
June 11, 2013
June 11, 2013http://www.youtube.com/watch?v=pPqliPzHYyc
June 11, 2013With the predictive power of now,you get just the thing you need toknow, right when you need it.
June 11, 2013From search to relevant agentGoogle Now
June 11, 2013uncanny valley of relevancy
June 11, 2013privategeneric1000
June 11, 2013transparentpersonal1000
June 11, 2013anonymousrelevant now1000big data
June 11, 2013Products react to contextNest
June 11, 2013Data driven serendipityPeel
June 11, 2013The power of Big Data isa new form of personal relevantservices
June 11, 2013Tensionpredictiveness and serendipitycan become Big Data flow
June 11, 2013The value of big data is in thepersonal services you create
June 11, 2013We live in The MatrixPRISM / Google
June 11, 2013How to actfirst steps in a big data strategyhttps://vimeo.com/5550677
June 11, 2013
June 11, 2013UsersRulesData objects
June 11, 2013Data objects§  Connected to each other by the use of all users§  And also by their meta data§  Value of re...
June 11, 2013Users§  Relations per user with objects§  Objects are no hub to relate users with each other§  Objects are...
June 11, 2013Rules§  Repeating intelligence§  Basis is ad-hoc connecting,§  Can be rules for recognized repeating behav...
June 11, 2013Data intelligencedata science data intelligenceimprovement 10% 10xmodel goal predict/optimize create/changede...
June 11, 2013
June 11, 2013
June 11, 2013
June 11, 2013
June 11, 2013
June 11, 2013Creating an ad-hoc real-timeprofile for the user of theservice.Fueled by bol.comrecommendation API +Facebook s...
June 11, 2013The recipe.
June 11, 2013Steps in a datastrategy1.  Start with collecting data that is running through your systems2.  Appoint a speci...
June 11, 2013Big data for intelligence =story based data design
June 11, 2013Combine sources toon-the-fly user profiles
June 11, 2013So to end some attention points§  Go for the delta in data§  Mix moment and insight§  Be humble§  Create ...
June 11, 2013The value of big data is in the(personal) services you create
June 11, 2013Thanks!Iskander Smithttp://labs.info.nliskander@info.nl+31624532388@iskandr
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Facebook marketing event - Iskander Smit

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Facebook Marketing Event 2013 invited Iskander Smit to talk on the relation of Big Data & Social and what to do with it. Of course also on Facebook.
The presentation was on June 11, 2013 in Mediaplaza Utrecht.

Published in: Business, Technology

Facebook marketing event - Iskander Smit

  1. 1. June 11, 2013 Iskander Smit, http://about.me/iskandrBig Data & Social MediaFacebook Marketing Event 2013http://vimeo.com/12187317
  2. 2. June 11, 2013Strategy director & managing labs.info.nlmember council Internet of Thingsthinking online services since 1994
  3. 3. June 11, 2013Info.nl§  internet agency since 1994§  connecting the dots for brands that value the power of online§  digital strategy, digital services, digital marketing, labs§  networked agency with full-service core§  partnership for social marketing with 77Agency§  that is one of the 13 Facebook sPMD§  social services: strategy, ux, apps, media, e-commerce management§  clients amongst others: BVA Auctions, Greenwheels, bol.com, ABN Amro
  4. 4. June 11, 2013What is BIG in big data?
  5. 5. June 11, 2013(What is big today will becommon tomorrow)
  6. 6. June 11, 2013every day the amount of datadoubles90% of all data originated inthe last 2 yearsGoogle à 5000TB/h
  7. 7. June 11, 2013 https://www.facebook.com/facebook/photos_stream110 songs have been played 40 billion times150 billion friend connections
  8. 8. June 11, 2013http://villevivante.ch
  9. 9. June 11, 2013PeopleThingsServices
  10. 10. June 11, 2013VolumeVelocity Varietyhttp://solveforinteresting.com/big-data-is-our-generations-civil-rights-issue-and-we-dont-know-it/
  11. 11. June 11, 2013PrecogsMemphis CRUSH, police combinescriminal data, personal data withcontext data and real-time analytics
  12. 12. June 11, 2013
  13. 13. June 11, 2013Sources of data§  Online behaviour. From search to browsing§  Social. Facebook likes, youtube shares, linkedin connections, etc. etc.§  E-mail. Google gmail§  Internet of things. Just starting§  Quantified self
  14. 14. June 11, 2013Source: behaviorBonus kaart
  15. 15. June 11, 2013Source: our lifesmart home
  16. 16. June 11, 2013Source: social behaviorLivehoods based on Foursquare
  17. 17. June 11, 2013Source: ourselvesFrom Fitbit to Moto X
  18. 18. June 11, 2013Ubiquitous time/location stampsiBeacons
  19. 19. June 11, 2013
  20. 20. June 11, 2013Combining dataFacebook customer audiences
  21. 21. June 11, 2013Lookalike profiling expands theprofiles 10 times
  22. 22. June 11, 2013Endless source of data
  23. 23. June 11, 2013Technologies of Big DataHadoop, Mapreduce, Hive, …
  24. 24. June 11, 2013Components in a Big Data system
  25. 25. June 11, 20133 layers (Cloudera)§  substract§  technologies: Open Commute, Linux, ZooKeeper, Puppetchef§  services: Gimbal, Zigbee.§  store§  technologies: HDFS (Hadoop), Hive, Hbase§  services: Amazon S3§  compute§  technologies: YARN, MapReduce, FlumeJava§  software: Splunk, Palantir, Google Charts
  26. 26. June 11, 2013McKinsey Global Institute, May 2011.
  27. 27. June 11, 2013Predict behaviorZestCash
  28. 28. June 11, 2013Brokers of dataBazaarvoice
  29. 29. June 11, 2013Knowledgemedicine interactions
  30. 30. June 11, 2013Combining sourcesBina
  31. 31. June 11, 2013Big data analytics, still BI focusedMicroStrategy, Tableau
  32. 32. June 11, 2013A promise of Big Data analytics:Do-It-YourselfBusiness Intelligence
  33. 33. June 11, 2013Search the big dataCloudera search
  34. 34. June 11, 2013Big data is de new online valuepagerank network+effect conversa0ons big+data
  35. 35. June 11, 2013Tiny services
  36. 36. June 11, 2013The value of big data is in thepersonal services you create
  37. 37. June 11, 2013
  38. 38. June 11, 2013http://www.youtube.com/watch?v=pPqliPzHYyc
  39. 39. June 11, 2013With the predictive power of now,you get just the thing you need toknow, right when you need it.
  40. 40. June 11, 2013From search to relevant agentGoogle Now
  41. 41. June 11, 2013uncanny valley of relevancy
  42. 42. June 11, 2013privategeneric1000
  43. 43. June 11, 2013transparentpersonal1000
  44. 44. June 11, 2013anonymousrelevant now1000big data
  45. 45. June 11, 2013Products react to contextNest
  46. 46. June 11, 2013Data driven serendipityPeel
  47. 47. June 11, 2013The power of Big Data isa new form of personal relevantservices
  48. 48. June 11, 2013Tensionpredictiveness and serendipitycan become Big Data flow
  49. 49. June 11, 2013The value of big data is in thepersonal services you create
  50. 50. June 11, 2013We live in The MatrixPRISM / Google
  51. 51. June 11, 2013How to actfirst steps in a big data strategyhttps://vimeo.com/5550677
  52. 52. June 11, 2013
  53. 53. June 11, 2013UsersRulesData objects
  54. 54. June 11, 2013Data objects§  Connected to each other by the use of all users§  And also by their meta data§  Value of relations emerges from frequence§  Negative relations can appear
  55. 55. June 11, 2013Users§  Relations per user with objects§  Objects are no hub to relate users with each other§  Objects are no hub to relate objects to users
  56. 56. June 11, 2013Rules§  Repeating intelligence§  Basis is ad-hoc connecting,§  Can be rules for recognized repeating behavior§  Connects objects to data
  57. 57. June 11, 2013Data intelligencedata science data intelligenceimprovement 10% 10xmodel goal predict/optimize create/changedecision algorithm humandata big/clean small/messycommunication equations storiesproblem tactical strategicSean Gourley, Quid
  58. 58. June 11, 2013
  59. 59. June 11, 2013
  60. 60. June 11, 2013
  61. 61. June 11, 2013
  62. 62. June 11, 2013
  63. 63. June 11, 2013Creating an ad-hoc real-timeprofile for the user of theservice.Fueled by bol.comrecommendation API +Facebook social graph
  64. 64. June 11, 2013The recipe.
  65. 65. June 11, 2013Steps in a datastrategy1.  Start with collecting data that is running through your systems2.  Appoint a special data team with several different roles3.  Look for the connections between the data streams4.  Develop a data vision5.  Make a plan, a strategy to execute6.  Learn & launch all the time
  66. 66. June 11, 2013Big data for intelligence =story based data design
  67. 67. June 11, 2013Combine sources toon-the-fly user profiles
  68. 68. June 11, 2013So to end some attention points§  Go for the delta in data§  Mix moment and insight§  Be humble§  Create serendipity§  Learn and tune§  Combine sources§  Build internal support§  Start!
  69. 69. June 11, 2013The value of big data is in the(personal) services you create
  70. 70. June 11, 2013Thanks!Iskander Smithttp://labs.info.nliskander@info.nl+31624532388@iskandr

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