The is a rough draft curriculum unit for enterprise pros interested in using personal data, VRM, user-centric digital identity, and privacy to improve operations. The focus is on what to do after the class.
Personal Data Economy Action Plan - Get Smart, Get Connected, Get Proof
1. PERSONAL DATA
ECONOMY
ACTION PLAN
Get Smart,
Get Connected,
Get Proof
Phil Wolff, Let My Data Go
pwolff@dijest.com
Beta Deck
I’m circulating this
rough draft for
feedback.
Constructive
critique and biting
commentary are
very welcome.
2. PREFACE (WHY I WROTE THIS)
I drafted this deck as an end-of-day call-to-action for
enterprise professionals for a series of talks and
workshops about the personal data economy in
2013Q1.
Goal: help potential change agents build the
expertise, relationships, and reputation they need
to drive personal control of personal data in their
organization.
3. SO YOU’VE LEARNED ABOUT PERSONAL DATA
„ You learned about digital identity through the lenses of
culture, psychology, law, regulation, commerce, and
technology
„ You can name the emerging technologies.
„ You mapped the business roles played within the
personal data ecosystem
„ You’re aware of US, Europe public-private initiatives
„ You diagrammed business models and the economics
of personal data
You are exploding with knowledge and enthusiasm
4. SO WHAT DO YOU DO BACK AT
THE OFFICE?
HOW DO YOU TURN KNOWLEDGE
INTO ACTION?
5. THE AGENDA
„ Learn the space
„ Follow the pioneers
„ Assess Risks and Opportunities
„ Experiment to build capabilities
„ Start socializing concerns among
your peers
6. DIVE DEEPER INTO THE FIELD
Become the person at your company who
knows more than one Wikipedia entry
about personal data
12. ASSESS
„ WHAT’S OUR BASELINE?
„ HOW RELEVANT IS SMALL DATA TO OUR
WORLD?
„ WHAT ARE OUR CAPABILITIES?
„ CAN WE RESPOND AND LEAD?
„ WHO ARE MY NATURAL ALLIES WITHIN
AND WITHOUT?
13. HOW MUCH FLOWS AND STORES?
„ Volume:
„ What personal data do we collect,
hold, use, share?
„ How do we use it now?
„ How is this changing?
„ Trends? Forecast?
14. IS OUR DATA GOOD?
„ Quality:
„ How much of our personal data is
accurate? Fresh? Relevant?
„ Patterns? Trends?
16. ADD CONTEXT
„ Maps:
„ How does our use of personal data
map to
„ our organization structure?
„ our business models?
„ our information systems?
„ our partners?
17. WHAT’S OUR RELATIONSHIP WITH GOV?
„ Regulation:
„ How does regulation affect our
increasing personal control of personal
data?
„ Which regulatory frameworks affect us
most? US? Canada? EU? Japan? China?
18. HOW DO WE DO CHANGE?
„ Culture:
„ How do we talk about risk?
„ How do we think about customers?
„ How much change can we tolerate?
„ What sorts of proposals survive
screening?
„ How does personal data align with
existing strategy agenda?
21. CONSPIRE WITH FRIENDS
„ Form a tiger team. Or a cabal.
„ Who should be on this diverse team?
„ Represent line functions and staff
functions.
„ Start your backchannels
„ Executive sponsorship.
„ (an old saw, but true)
„ Workshop for teams (I know folks
who offer two-day offsites)
23. DESIGN YOUR PILOT PROJECTS
„ Experiments to
„ Build skills
„ Develop evidence
„ Cultivate support
„ Five small pilots you might try...
24. “ASSESSMENT” PILOTS.
„ Map, diagram, measure.
Where are you now?
„ What new capabilities does
your organization need to
know this and keep it fresh?
25. “TRUST” PILOTS.
„ Experiment with different flavors of
giving prospects and customers more
control of personal data within your
existing services; measure outcomes,
see what works.
„ Try partnering with personal cloud
services; identify limits to adoption,
quality, experience; name opportunities
for growth, engagement.
26. “DATA FREEDOM” PILOTS
„ Follow Google’s Data Liberation Front
example for data export on small subset of
personal data.
„ Measure how this makes customers
perceive you, how customers use the data,
opportunities to make the export
experience more satisfying for customers.
„ Identify resistance within your organization
and learn causes for resistance.
27. “TECH” PILOTS.
„ Which emerging IT standards in your
industry could make it easier to manage
personal data lifecycles?
„ Assess them: if strong, plan how to
embrace; if weak, plan how to improve or
stop them.
„ Talk to your ERP, CRM and other app
providers about their views; how far along
the learning curve have they progressed?
28. “POLICY” PILOTS.
„ Test your terms of service and customer
contracts to learn how well/poorly they
are read, understood, complied with.
„ Experiment with improved accessibility,
readability, usability to see if customer
understanding and behavior change.
30. ENGAGE FRENEMIES
„ Find others in your supply chain or
distribution network to start the
personal control conversation
„ Find rivals to explore opportunities for
cooperation
„ Host summits or unconferences to
foster dialog within your industry
segment
31. BACK AT THE OFFICE…
„ Learn the space
„ Follow the pioneers
„ Assess Risks and Opportunities
„ Experiment to build capabilities
„ Start socializing concerns among
your peers
32. SO, WHAT DO YOU THINK?
How is this deck performing against its
goal?
Goal: help potential change agents build
the expertise, relationships, and
reputation they need to drive personal
control of personal data in their
organization.
33. LET’S HAVE A COFFEE CALL
„ I am here to help
„ Phil Wolff
„ 1-510-444-8234
„ Skype: evanwolf
„ LinkedIn
„ LetMyDataGo.org
„ pwolff@dijest.com