edw lightning talk 2014

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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

DATA PROTECTION IN A BIG DATA WORLDUnderstanding privacy as a quality characteristic of information, and how to deliver it as a value proposition

Some Numbers

80%

Users can be identified by when and how movies are rated.(Narayaan & Shmatikov, 2008)

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

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.

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

Some Numbers

$0.85 BillionPotential cost to Google of a single breach of forthcoming EU Data Protection Regulation (5% of Global turnover)

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

A Value Delivery System Strategy..We have a crack team of Big Data analysts looking at it right

now..

Privacy as a Key Resulting Experience

The “Surprised Customer” Test

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)

Linking DP, IQ, and IG

Data Protection

Information Governance

Information Quality

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.)

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