edw lightning talk 2014
DESCRIPTION
Lightning talk delivered to EDW14 on Data Privacy as an outcome to be achieved through effective data management. Proposed concept of "Value Proposition" as originally defined to be applied to Privacy, with Data Governance and other disciplines being part of the "Value Delivery System" to achieve balanced Key Resulting Experiences.TRANSCRIPT
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DATA PROTECTION IN A BIG DATA WORLDUnderstanding privacy as a quality characteristic of information, and how to deliver it as a value proposition
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Some Numbers
80%
Users can be identified by when and how movies are rated.(Narayaan & Shmatikov, 2008)
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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
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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.
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Some Numbers
$100 millionThe 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
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Some Numbers
$0.85 BillionPotential cost to Google of a single breach of forthcoming EU Data Protection Regulation (5% of Global turnover)
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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
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A Value Delivery System Strategy..We have a crack team of Big Data analysts looking at it right
now..
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Privacy as a Key Resulting Experience
The “Surprised Customer” Test
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A Value Delivery System Strategy
Choose a Value Proposition
Provide it Communicate it
Analyse the marketPick Key
Resulting Outcomes
(a complete Value Proposition)
For each Resulting Outcome how will we, with others, cause customers to:
Actually experience itUnderstand 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)
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Linking DP, IQ, and IG
Data Protection
Information Governance
Information Quality
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A Value Delivery System Strategy
Choose a Value Proposition
Provide it Communicate it
Analyse the marketPick Key
Resulting Outcomes
(a complete Value Proposition)
For each Resulting Outcome how will we, with others, cause customers to:
Actually experience itUnderstand 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.)