3. Some Numbers
Analysis of anonymous 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
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
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. A Value Delivery System Strategy
..We have a crack team of Big
Data analysts looking at it right
now..
9. Privacy as a Key Resulting Experience
The “Surprised Customer” Test
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,
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 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.)
Hinweis der Redaktion
Examples of jurisdictions: EU, Singapore, Australia, South Africa
8 Key Principles in EU – first three are Data Governance, last 5 are Information Quality.
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.
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.
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