Facebook marketing event - Iskander Smit

  • 661 views
Uploaded on

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. …

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.

More in: Business , Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
No Downloads

Views

Total Views
661
On Slideshare
0
From Embeds
0
Number of Embeds
1

Actions

Shares
Downloads
0
Comments
0
Likes
6

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. June 11, 2013 Iskander Smit, http://about.me/iskandrBig Data & Social MediaFacebook Marketing Event 2013http://vimeo.com/12187317
  • 2. June 11, 2013Strategy director & managing labs.info.nlmember council Internet of Thingsthinking online services since 1994
  • 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. June 11, 2013What is BIG in big data?
  • 5. June 11, 2013(What is big today will becommon tomorrow)
  • 6. June 11, 2013every day the amount of datadoubles90% of all data originated inthe last 2 yearsGoogle à 5000TB/h
  • 7. June 11, 2013 https://www.facebook.com/facebook/photos_stream110 songs have been played 40 billion times150 billion friend connections
  • 8. June 11, 2013http://villevivante.ch
  • 9. June 11, 2013PeopleThingsServices
  • 10. June 11, 2013VolumeVelocity Varietyhttp://solveforinteresting.com/big-data-is-our-generations-civil-rights-issue-and-we-dont-know-it/
  • 11. June 11, 2013PrecogsMemphis CRUSH, police combinescriminal data, personal data withcontext data and real-time analytics
  • 12. June 11, 2013
  • 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. June 11, 2013Source: behaviorBonus kaart
  • 15. June 11, 2013Source: our lifesmart home
  • 16. June 11, 2013Source: social behaviorLivehoods based on Foursquare
  • 17. June 11, 2013Source: ourselvesFrom Fitbit to Moto X
  • 18. June 11, 2013Ubiquitous time/location stampsiBeacons
  • 19. June 11, 2013
  • 20. June 11, 2013Combining dataFacebook customer audiences
  • 21. June 11, 2013Lookalike profiling expands theprofiles 10 times
  • 22. June 11, 2013Endless source of data
  • 23. June 11, 2013Technologies of Big DataHadoop, Mapreduce, Hive, …
  • 24. June 11, 2013Components in a Big Data system
  • 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. June 11, 2013McKinsey Global Institute, May 2011.
  • 27. June 11, 2013Predict behaviorZestCash
  • 28. June 11, 2013Brokers of dataBazaarvoice
  • 29. June 11, 2013Knowledgemedicine interactions
  • 30. June 11, 2013Combining sourcesBina
  • 31. June 11, 2013Big data analytics, still BI focusedMicroStrategy, Tableau
  • 32. June 11, 2013A promise of Big Data analytics:Do-It-YourselfBusiness Intelligence
  • 33. June 11, 2013Search the big dataCloudera search
  • 34. June 11, 2013Big data is de new online valuepagerank network+effect conversa0ons big+data
  • 35. June 11, 2013Tiny services
  • 36. June 11, 2013The value of big data is in thepersonal services you create
  • 37. June 11, 2013
  • 38. June 11, 2013http://www.youtube.com/watch?v=pPqliPzHYyc
  • 39. June 11, 2013With the predictive power of now,you get just the thing you need toknow, right when you need it.
  • 40. June 11, 2013From search to relevant agentGoogle Now
  • 41. June 11, 2013uncanny valley of relevancy
  • 42. June 11, 2013privategeneric1000
  • 43. June 11, 2013transparentpersonal1000
  • 44. June 11, 2013anonymousrelevant now1000big data
  • 45. June 11, 2013Products react to contextNest
  • 46. June 11, 2013Data driven serendipityPeel
  • 47. June 11, 2013The power of Big Data isa new form of personal relevantservices
  • 48. June 11, 2013Tensionpredictiveness and serendipitycan become Big Data flow
  • 49. June 11, 2013The value of big data is in thepersonal services you create
  • 50. June 11, 2013We live in The MatrixPRISM / Google
  • 51. June 11, 2013How to actfirst steps in a big data strategyhttps://vimeo.com/5550677
  • 52. June 11, 2013
  • 53. June 11, 2013UsersRulesData objects
  • 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. 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. June 11, 2013Rules§  Repeating intelligence§  Basis is ad-hoc connecting,§  Can be rules for recognized repeating behavior§  Connects objects to data
  • 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. June 11, 2013
  • 59. June 11, 2013
  • 60. June 11, 2013
  • 61. June 11, 2013
  • 62. June 11, 2013
  • 63. June 11, 2013Creating an ad-hoc real-timeprofile for the user of theservice.Fueled by bol.comrecommendation API +Facebook social graph
  • 64. June 11, 2013The recipe.
  • 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. June 11, 2013Big data for intelligence =story based data design
  • 67. June 11, 2013Combine sources toon-the-fly user profiles
  • 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. June 11, 2013The value of big data is in the(personal) services you create
  • 70. June 11, 2013Thanks!Iskander Smithttp://labs.info.nliskander@info.nl+31624532388@iskandr