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5 Misconceptions about Personal
Data: Why we need a peoplecentred approach	
	

Abby Margolis, Claro Partners
Claro	
  Partners	
  |	
  Naviga1ng	
  disrup1ve	
  shi6s	
  

Claro	
  helps	
  
corpora1ons	
  and	
  
startups	
  to	
  navigate	
  
disrup've	
  shi,s	
  in	
  
society	
  and	
  business	
  
From data-centric to people-centric	
	
•  Shift in thinking about data, from what is
technologically possible to what is of new benefit to
individuals	
•  Demonstrate why the personal data economy is a
disruptive new opportunity space	
•  Address five common misconceptions in the data
conversation that don’t apply to Personal Data	
•  Introduce some principles to promote a people-centred
approach	
	
@claropartners	
#personaldata
Every time we interact,
communicate, access,
share, recommend,
download and record,
we cast a digital
shadow of our
activities
Businesses are
collecting and
stockpiling personal
data, convinced that
bigger is better; this is
resulting in a 	
big data boom
Not just more data but new data experiences	

OLD DATA EXPERIENCES

NEW DATA EXPERIENCES
Our research was grounded in the belief that we
need to start with the person rather than the data.
Instead of looking at data to try and understand what
it might tell us about human behaviour, we started by
looking into human behaviour to see what it could
tell us about the role of data in their everyday lives.
Six month, global consortium investigating personal data experiences
We saw a new opportunity emerging…
one not built on BIG DATA, 	
but on personal data.
We call this the Personal data economy
We call this the Personal data economy	
	
An economy that repositions the value of
personal data within the individual’s
experience
The Personal Data Economy landscape	
Predictions

Crowd Data

Recommendation / Discovery

Predictions
(For individuals)

CrowdGenerated Data

Data Interfaces
New Interfaces
for Existing Data

Data Lockers
Mobile data based
tool for health
predictions

Data Enhanced
P2P patient support
platform

Data locker for users
to control access to
their data

(aggregated)

Local
Discovery
(things)

Interface to your
bank, helping to
make better financial
decisions

Self-Tracking
(Health)

Local business
review and discovery
game

Proximity Based
Connections

Identity

Measurement
Self-tracking

Bracelet for tracking
health behaviours
and indicators

P2P vouching
service overlaying
social networks

(aggregated)

Internet of Things
Platforms
Proximity based
social discovery
service
Real-time data
aggregation platform
for Internet of Things

Social

Internet of Things

Identity

Access
Management
Five misconceptions about personal data
MISCONCEPTION #1	

Personal data is
the new oil
REALITY:	

My personal data is
most valuable to me!
MISCONCEPTION #2	

Personal data 	
is all about privacy
REALITY:	

People want to benefit
from their data - not
hide it away - but they
need control, trust and
transparency
MISCONCEPTION #3	

The value of
personal data is
in its sale
REALITY:	

The personal data
economy is an
experience economy
MISCONCEPTION #4	

Personal data is
for data scientists
REALITY:	

Personal data
empowers people
MISCONCEPTION #5	

Personal data
is big data
REALITY:	

The personal data
economy is small data
Data-centric
view	

People-centric
view
Five key principles for ethnography to help promote a people centric
approach to personal data	

1. Start with the person, not the data	
2. Become observers of the role data plays in people’s lives	
3. Identify unmet functional and emotional needs	
4. Think beyond privacy. Create trust, transparency and control	
5. Design and enable the whole user experience
What are Pitney Bowes’ opportunities to
create people-centric offerings in the
personal data economy?
Toolkit to create people-centric value propositions	

FIVE KEY PRINCIPLES TO USING PERSONAL DATA

1. Start with the person

2. Create trust, transparency and control

3. Design the whole experience

4. Give people new abilities through their personal data

5. Address both functional and emotional needs

www.claropartners.com

Personal Data Landscape	

5 Principles about
personal data	

Personal Data
Opportunity Framework 	

Trust, Transparency and
Control enablers	

HOW COMPANIES OPERATE IN THE PERSONAL DATA ECONOMY

Personal data services play different roles in a connected ecosystem
Companies can provide a place for users
to generate data or collect data from
elsewhere.

Add-on

They can also simply pass-on this
personal data or add-on something on top

Facebook plays all roles simultaneously;
something which very few companies

Generate

of it.

can do.

Pass-on

Personal Data
Experience Model	

People-centric Insights	

34

| Personal Data Economy | Project Summary

Data Value Staircase	

Intel Confidential

Data Ecosystem Map
Thank you	
Abby Margolis | Research Director	
Abby.margolis @claropartners.com	
+34 674 061 648 (m)	
abbymargolis (skype)	

	
	
	
	
@claropartners

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Presentation for Pitney Bowes 3rd Annual Data Day

  • 1. 5 Misconceptions about Personal Data: Why we need a peoplecentred approach Abby Margolis, Claro Partners
  • 2. Claro  Partners  |  Naviga1ng  disrup1ve  shi6s   Claro  helps   corpora1ons  and   startups  to  navigate   disrup've  shi,s  in   society  and  business  
  • 3. From data-centric to people-centric •  Shift in thinking about data, from what is technologically possible to what is of new benefit to individuals •  Demonstrate why the personal data economy is a disruptive new opportunity space •  Address five common misconceptions in the data conversation that don’t apply to Personal Data •  Introduce some principles to promote a people-centred approach @claropartners #personaldata
  • 4. Every time we interact, communicate, access, share, recommend, download and record, we cast a digital shadow of our activities
  • 5. Businesses are collecting and stockpiling personal data, convinced that bigger is better; this is resulting in a big data boom
  • 6. Not just more data but new data experiences OLD DATA EXPERIENCES NEW DATA EXPERIENCES
  • 7. Our research was grounded in the belief that we need to start with the person rather than the data. Instead of looking at data to try and understand what it might tell us about human behaviour, we started by looking into human behaviour to see what it could tell us about the role of data in their everyday lives.
  • 8. Six month, global consortium investigating personal data experiences
  • 9. We saw a new opportunity emerging… one not built on BIG DATA, but on personal data.
  • 10. We call this the Personal data economy
  • 11. We call this the Personal data economy An economy that repositions the value of personal data within the individual’s experience
  • 12. The Personal Data Economy landscape Predictions Crowd Data Recommendation / Discovery Predictions (For individuals) CrowdGenerated Data Data Interfaces New Interfaces for Existing Data Data Lockers Mobile data based tool for health predictions Data Enhanced P2P patient support platform Data locker for users to control access to their data (aggregated) Local Discovery (things) Interface to your bank, helping to make better financial decisions Self-Tracking (Health) Local business review and discovery game Proximity Based Connections Identity Measurement Self-tracking Bracelet for tracking health behaviours and indicators P2P vouching service overlaying social networks (aggregated) Internet of Things Platforms Proximity based social discovery service Real-time data aggregation platform for Internet of Things Social Internet of Things Identity Access Management
  • 13. Five misconceptions about personal data
  • 15. REALITY: My personal data is most valuable to me!
  • 16. MISCONCEPTION #2 Personal data is all about privacy
  • 17. REALITY: People want to benefit from their data - not hide it away - but they need control, trust and transparency
  • 18. MISCONCEPTION #3 The value of personal data is in its sale
  • 19. REALITY: The personal data economy is an experience economy
  • 20. MISCONCEPTION #4 Personal data is for data scientists
  • 25. Five key principles for ethnography to help promote a people centric approach to personal data 1. Start with the person, not the data 2. Become observers of the role data plays in people’s lives 3. Identify unmet functional and emotional needs 4. Think beyond privacy. Create trust, transparency and control 5. Design and enable the whole user experience
  • 26. What are Pitney Bowes’ opportunities to create people-centric offerings in the personal data economy?
  • 27. Toolkit to create people-centric value propositions FIVE KEY PRINCIPLES TO USING PERSONAL DATA 1. Start with the person 2. Create trust, transparency and control 3. Design the whole experience 4. Give people new abilities through their personal data 5. Address both functional and emotional needs www.claropartners.com Personal Data Landscape 5 Principles about personal data Personal Data Opportunity Framework Trust, Transparency and Control enablers HOW COMPANIES OPERATE IN THE PERSONAL DATA ECONOMY Personal data services play different roles in a connected ecosystem Companies can provide a place for users to generate data or collect data from elsewhere. Add-on They can also simply pass-on this personal data or add-on something on top Facebook plays all roles simultaneously; something which very few companies Generate of it. can do. Pass-on Personal Data Experience Model People-centric Insights 34 | Personal Data Economy | Project Summary Data Value Staircase Intel Confidential Data Ecosystem Map
  • 28. Thank you Abby Margolis | Research Director Abby.margolis @claropartners.com +34 674 061 648 (m) abbymargolis (skype) @claropartners