Download to read offline
Uploaded byCastlebridge Associates
Data Protection in Big Data world (EDW lighting talk)
This document discusses data protection challenges in a big data world. It provides examples showing that personal data can be used to accurately identify individuals and deduce sensitive personal details. 72 countries now have data privacy laws aligned with EU standards. Privacy concerns led to a $100 million project by inBloom being shut down. If Google breaches forthcoming EU privacy regulations, it could cost $0.85 billion. The document advocates developing a deep understanding of customer experiences and valuing privacy to build trust and meet privacy obligations. It links data protection, information governance and information quality as important capabilities.
More Related Content
Similar to Data Protection in Big Data world (EDW lighting talk)
Data Protection in Big Data world (EDW lighting talk)
- 1. DATA PROTECTION INA BIG DATA WORLD Understanding privacy as a quality characteristic of information, and how to deliver it as a value proposition
- 2. Some Numbers 80% Users canbe identified by when and how movies are rated. (Narayaan & Shmatikov, 2008)
- 3. Some Numbers Analysis ofanonymous Facebook Likes… Discriminated between homosexual and heterosexual men 88% Distinguished between African Americans and Caucasian Americans 95% 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. Some Numbers 72 http://dlapiperdataprotection.com/#handbook/world-map-section Number ofcountries 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. Some Numbers $100 million Theamount 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. Some Numbers $0.85 Billion Potentialcost to Google of a single breach of forthcoming EU Data Protection Regulation (5% of Global turnover)
- 7. Three ways organisationsinnovate 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. A Value DeliverySystem Strategy ..We have a crack team of Big Data analysts looking at it right now..
- 9. Privacy as aKey Resulting Experience The “Surprised Customer” Test
- 10. A Value DeliverySystem 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, information quality, data masking, training, “human factors”, infosec Communication, transparency, user education, demonstrating value Business case for organisation: cost and risk of getting it wrong (brand damage/penalties)
- 11. Linking DP, IQ,and IG Data Protection Information Governance Information Quality
- 12. A Value DeliverySystem 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.)
Editor's Notes
- #5 Examples of jurisdictions: EU, Singapore, Australia, South Africa 8 Key Principles in EU – first three are Data Governance, last 5 are Information Quality.
- #11 An event or sequence of mental and/or physical events which happen in the customer’s life as a result of doing what some business proposes… An end-result consequence of this event for the customer… Which is a consequence that is either superior, equal, or inferior to any of the other potential resulting experiences that the customer might have had to choose from… …and has specific and measurable characteristics that allow you to objectively determine if the customer has experienced the events, consequence, and value compared to their alternatives.
- #12 EU Data protection Regulation EXPLICITLY requires documented Data Governance and evidence of its effectiveness. Not having that will be an offence with 5% of global turn over penalty.
- #13 Everything is Outcomes Privacy is as much a quality characteristic of information as accuracy or completeness Privacy means we need to engage the individual in our strategy Privacy for Big Data means maturing our perspective from an Internally Driven mode of thought to one that seeks to explore Key Resulting Experiences and the value trade-offs. Getting it wrong will get increasingly expensive 5% of Global Turnover under forthcoming EU Regulation. Will apply to non-EU orgs processing data of EU citizens