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Data Protection in Big Data world (EDW lighting talk)

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Data Protection in Big Data world (EDW lighting talk)

  1. 1. DATA PROTECTION IN A BIG DATA WORLD Understanding privacy as a quality characteristic of information, and how to deliver it as a value proposition
  2. 2. Some Numbers 80% Users can be identified by when and how movies are rated. (Narayaan & Shmatikov, 2008)
  3. 3. Some Numbers Analysis of anonymous Facebook Likes… Discriminated between homosexual and heterosexual men88% Distinguished between African Americans and Caucasian Americans95% 85% Identified Republican vs Democrat All categories of “Sensitive Personal Data” under EU law and Privacy laws of other regions… (Research by Cambridge University & Microsoft) http://dx.doi.org/10.1073/pnas.1218772110
  4. 4. Some Numbers 72 http://dlapiperdataprotection.com/#handbook/world-map-section Number of countries currently with a general Data Privacy/Data Protection law mapped to EU or OECD standards Note: EU Data Protection Regulation will require non EU organisations processing data about EU Citizens to comply with EU rules.
  5. 5. Some Numbers $100 million The amount of seed funding given by Bill & Melinda Gates Foundation to inBloom, which is shutting down over privacy concerns http://bits.blogs.nytimes.com/2014/04/21/inbloom- student-data-repository-to-close
  6. 6. Some Numbers $0.85 Billion Potential cost to Google of a single breach of forthcoming EU Data Protection Regulation (5% of Global turnover)
  7. 7. Three ways organisations innovate Internally Driven This is what we do and we’re great! We can do this and it will be AWESOME! Focus on finding/countering objections to product Customer Compelled Ask the customer what will make them happy Ask what features they want and what price they’ll pay Exploring Experiences Develop deep understanding of what they do (or can’t) and why Creatively infer what experiences/outcomes would be most valuable “OK, we’ll tweak it a bit”“If we build it they will come” Consistently meeting expectations
  8. 8. A Value Delivery System Strategy ..We have a crack team of Big Data analysts looking at it right now..
  9. 9. Privacy as a Key Resulting Experience The “Surprised Customer” Test
  10. 10. A Value Delivery System Strategy Choose a Value Proposition Provide it Communicate it Analyse the market Pick Key Resulting Outcomes (a complete Value Proposition) For each Resulting Outcome how will we, with others, cause customers to: Actually experience it Understand it & why to believe it Capabilities that will therefore be needed Total Revenue and Cost  Profit, Business Case Indirect Impacts (Other businesses, departments, project timeframes etc.) Privacy versus what? How will privacy be ensured in the processing? Data Governance, informatio n quality, data masking, training, “hum an factors”, infosec Communication, transparency, user education, demonstrating value Business case for organisation: cost and risk of getting it wrong (brand damage/penalties)
  11. 11. Linking DP, IQ, and IG Data Protection Information Governance Information Quality
  12. 12. A Value Delivery System Strategy Choose a Value Proposition Provide it Communicate it Analyse the market Pick Key Resulting Outcomes (a complete Value Proposition) For each Resulting Outcome how will we, with others, cause customers to: Actually experience it Understand it & why to believe it Capabilities that will therefore be needed Total Revenue and Cost  Profit, Business Case Indirect Impacts (Other businesses, departments, project timeframes etc.)

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