• Save
Facebook marketing event - Iskander Smit
Upcoming SlideShare
Loading in...5
×
 

Facebook marketing event - Iskander Smit

on

  • 995 views

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.

Statistics

Views

Total Views
995
Views on SlideShare
955
Embed Views
40

Actions

Likes
6
Downloads
0
Comments
0

1 Embed 40

https://twitter.com 40

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

CC Attribution-NonCommercial-NoDerivs LicenseCC Attribution-NonCommercial-NoDerivs LicenseCC Attribution-NonCommercial-NoDerivs License

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Facebook marketing event - Iskander Smit Facebook marketing event - Iskander Smit Presentation Transcript

  • June 11, 2013 Iskander Smit, http://about.me/iskandrBig Data & Social MediaFacebook Marketing Event 2013http://vimeo.com/12187317
  • 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§  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
  • 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 connections
  • June 11, 2013http://villevivante.ch
  • June 11, 2013PeopleThingsServices
  • June 11, 2013VolumeVelocity Varietyhttp://solveforinteresting.com/big-data-is-our-generations-civil-rights-issue-and-we-dont-know-it/
  • 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, linkedin connections, etc. etc.§  E-mail. Google gmail§  Internet of things. Just starting§  Quantified self
  • 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: Gimbal, Zigbee.§  store§  technologies: HDFS (Hadoop), Hive, Hbase§  services: Amazon S3§  compute§  technologies: YARN, MapReduce, FlumeJava§  software: Splunk, Palantir, Google Charts
  • 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 relations emerges from frequence§  Negative relations can appear
  • 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
  • June 11, 2013Rules§  Repeating intelligence§  Basis is ad-hoc connecting,§  Can be rules for recognized repeating behavior§  Connects objects to data
  • 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
  • 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 social graph
  • June 11, 2013The recipe.
  • 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
  • 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 serendipity§  Learn and tune§  Combine sources§  Build internal support§  Start!
  • 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