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Big Data.... and digital footprint

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Presentation on finding value in data and a new model of real time

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Big Data.... and digital footprint

  1. 1. Remit : something that is not in
  2. 2. Big Data http://www.terrapinn.com/2012/big-data-world-europe/networking.stm
  3. 3. You as a professional You as a one of 7 bn people You as a persona
  4. 4. RISKTRUST EXPECTATIONPRIVACY IDENTITY
  5. 5. There is no one model of IDENTITY that will satisfyeveryone, in all cases, in all places Observation 1
  6. 6. From You With some complexity in the middle Observation 2
  7. 7. There is no model of TRUSTthat will satisfy everyone, in all cases, in all places Observation 3
  8. 8. USIt is aboutTR T Observation 4
  9. 9. There is no one model of PRIVACY that will satisfy everyone in all cases andprivacy law is confused with “sharing” Observation 5
  10. 10. There is ONLY ONE model of PRIVATE and that is what goes on inside your head Observation 6
  11. 11. complexity is created as we balance our individualism withprofessionalism and citizenship Observation 7
  12. 12. So tell me something I didn’t know
  13. 13. QuestionsHow is All Data and My Data related? Do you believe that everyone has the same opinion as you?
  14. 14. The Righteous model The Visionary model The Idealistic model The Evolution model The Private model The replication model6 models for ALL DATA and My DATA
  15. 15. QuestionsHow are My Data and Identity related? Do you believe that everyone has the same opinion as you?
  16. 16. The Related model The Inseparable modelThe Subset model The Multiple Me model The GreaterThan modelThe 5 models of My Data and Identity
  17. 17. QuestionsHow are My Data and My Rights related? Do you believe that everyone has the same opinion as you?
  18. 18. The Extension model The Control model The Right model The Real modelThe 4 models of My Data and Rights
  19. 19. new model…..
  20. 20. context, insights, feedback, fraud, behaviour, Analysis personalisation, “iData” About to occur on display rear-view mirror Collect signals Store Analysis sentiment “Real Time Data” intent“Old Data”
  21. 21. What this means is that I can modify the UI/UX in real timebefore you know what you want to do next – extreme….. The only button is NEXT
  22. 22. Don’t get bogged down in trying understand this
  23. 23. Work out your own attitude towardshow you want your own data to be treated; first!
  24. 24. Work out your companies attitude towards your personal data; second
  25. 25. Work out your companies attitude towards your CUSTOMERS data; third
  26. 26. Articulate your perception ofcreepy in terms of the gaps in expectations
  27. 27. our frustration is that those withlower risk have higher authority and that limits our own personal reach, scope, creativity and aspiration
  28. 28. and our annoyance is created bythose with a higher risk propensityand a-can-do attitude that want to take us beyond our own boundaries of expectation.
  29. 29. If your UI/ UX for collection, analysis, value or feedback (the business elements of a data model) suck…… then your chances ofsuccess are trending towards zero
  30. 30. Your data is a commodity & ownership is unimportant. Value will be retained by those who can get deep & dirty in thetransformation of data to create value & can marry complexity with uncertainty In the new kingdom, loyalty is dead, privacy is a setting, trust is thechallenger, the princes’ are brands, the princesses are simplicity, attention is queen, data is king and creepy is our political foe

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