This talk was presented at the 2016 Cloud Identity Summit. It was in the Rise of the Identity-enabled Personal Information Economy Track. It puts forward 6 Diagrams to make Sense of the overall Personal Data Ecosystem including What is Personal Data? What Happens to Personal Data? What are Market Models and how is it regulated?

1. My Data, My Value
6 Sense Making Diagrams
From The Personal Data Ecosystem Consortium
Kaliya “Identity Woman”
Founder & Thought Leader and Catalyst Emeritus
Personal Data Ecosystem Consortium

2. I founded
it in 2010
These were the pioneering companies
PERSONAL DATA
ECOSYSTEM
CONSORTIUM

3. Worked with WEF to
include our perspective in
their re-thinking
personal data reports.

4. 4
“By 2020 the personal data
economy will be $1.1 Trillion
USD & $734 Billion will flow
back to the individual”
– Boston Consulting Group
The Value of our Digital Identity – 2013

5. What do we mean by
Personal Data?

7. 7
ASSET DATA

8. 8
RELATIONSHIPS

9. 9

10. 10

11. 11
HEALTH DATA

12. 12
COMMUNICATIONS

13. 13
ACTIVITY

14. 14
CONTENT

15. 15
CONTEXT

16. 16
IDENTITY

17. I created this mind map of Personal Data Sources and it is in the 2011 WEF report.
It is based on the list in the 2010 WEF drawn from the summer 2010 pre-read document that I contributed to.

18. What happens to
Personal Data?

24. DATA USES:
Personal Data Ecosystem
Public
examples:
UTILITY
COMPANIES
MEDIA GOVERNMENT
AGENCIES
examples:
Medical
PHARMACIESHOSPITALS DOCTORS
& NURSES
examples:
Retail
RETAIL
STORES
AIRLINES CREDIT CARD
COMPANIES
examples:
SOCIAL
NETWORKING
SERVICES
RETAIL &
CONTENT
WEBSITES
BUY ONE,
GET ONE!
SPECIAL
OFFER!
Internet
examples:
Financial & Insurace
STOCK
COMPANIES
INSURANCE BANKS
Information Brokers
Websites
Catalog Co-ops
Media Archives
List Brokers
Affiliates
DATA
COLLECTORS
(sources)
Media
Marketers
Employers
Banks
Product & Service
Delivery
Government
Lawyers/
Private Investigators
Individuals
Law Enforcement
DATA
BROKERS
DATA
USERS
Credit Bureaus
Healthcare Analytics
Ad Networks &
Analytics Companies
Examples of uses of consumer information in personally identifiable or aggregated form:
Financial services, such as for
banking or investment accounts
Credit granting, such as for credit or
debit cards; mortgage, automobile
or specialty loans; automobile rentals;
or telephone services
Insurance granting, such as for health,
automobile or life
Retail coupons and special offers
Catalog and magazine solicitations
Web and mobile services, including
content, e-mail, search, and social
networking
Product and service delivery, such as
streaming video, package delivery, or
a cable signal
Attorneys, such as for case
investigations
Individual
examples:
Telecommunications
& Mobile
CARRIERSMOBILE
PROVIDERS
CABLE
COMPANIES
Journalism, such as for fact checking
Marketing, whether electronically,
through direct mail, or by telephone
Data brokers for aggregation and resale
to companies and/or consumers
Background investigations by employers
or landlords
Locating missing or lost persons,
beneficiaries, or witnesses
Law enforcement
Research (e.g., health, financial, and
online search data) by academic
institutions, government agencies, and
commercial companies
Fraud detection and prevention
Government benefits and services,
such as licensing
Public
examples:
UTILITY
COMPANIES
MEDIA GOVERNMENT
AGENCIES
examples:
Medical
PHARMACIESHOSPITALS DOCTORS
& NURSES
examples:
Retail
RETAIL
STORES
AIRLINES CREDIT CARD
COMPANIES
examples:
SOCIAL
NETWORKING
SERVICES
SEARCH
ENGINES
RETAIL &
CONTENT
WEBSITES
BUY ONE,
GET ONE!
SPECIAL
OFFER!
Internet
examples:
Financial & Insurace
STOCK
COMPANIES
INSURANCE BANKS
Information Brokers
Websites
Catalog Co-ops
Media Archives
List Brokers
Affiliates
Media
Marketers
Employers
Banks
Product & Service
Delivery
Government
Lawyers/
Private Investigators
Individuals
Law Enforcement
Credit Bureaus
Healthcare Analytics
Ad Networks &
Analytics Companies
examples:
Telecommunications
& Mobile
ISPsMOBILE
PROVIDERS
CABLE
COMPANIES
examples:
https://www.ftc.gov/sites/default/files/documents/public_events/exploring-privacy-roundtable-series/personaldataecosystem.pdf

25. Value Network Analysis

27. Generating More Data than Ever

28. Less
Control
Than
Ever

29. Wall Street Journal
What they Know

30. Wall Street Journal
What they Know

32. People’s Data is being
aggregated
exploited
without their
knowledge or consent.

33. People’s Data is being
aggregated
exploited
without their
knowledge or consent.

35. Regulatory Landscape is Changing
The other major change will be data
portability.
Businesses will have to provide their
customers with a copy of their data.
This will make data fluid and put the citizen
in control of their personal data.
In other words, not only will businesses be
data-rich, people will be too.
This will drive the decentralization of data as
the individual becomes the point of
integration.
http://qz.com/697452/companies-once-thought-theyd-make-big-money-off-big-data-now-its-their-biggest-liability/

36. Requirements for
Data to be stored
“in country”.
Regulatory Landscape is Changing

37. IoT

38. Big Data is Personal Data

39. Personalization
requires
personal data
& a relationship
between
customer and
businesses
& brands.

40. From Exploitation

41. to Appreciation

42. How do we understand the landscape
and Business Opportunity?

43. 43
On the individual side, people produce data

45. 45
Vendor Relationships Management

47. 47
Infomediary Services

49. 49
Data Aggregation Services

51. 51

52. The “Stop It” Companies

53. 53
Invomediary Model

54. Frameworks that Exist
or are in the
process of Development.

55. 55
Invomediary Model

56. 56
Invomediary Model

57. 6 Diagrams to
Understand
Personal Data

58. 58
“By 2020 the personal data
economy will be $1.1 Trillion
USD & $734 Billion will flow
back to the individual”
– Boston Consulting Group
The Value of our Digital Identity – 2013

59. ECOSYSTEM
CONSORTIUM
PERSONAL
DATA
I invite you to join us!

60. ECOSYSTEM
CONSORTIUM
PERSONAL
DATA Core Principles
1 Protecting People and their rights -
empowerment, personal control over
personal data and identity and
transparency about where and how it is
used.

61. ECOSYSTEM
CONSORTIUM
PERSONAL
DATA Core Principles
2. Protecting Organizations and their
rights in whatever role they undertake
- ensuring there is a basis for reaching
agreement on shared challenges and
ensuring transparency and accountability
regarding data that they retain, transmit
or exchange about people.

62. ECOSYSTEM
CONSORTIUM
PERSONAL
DATA Core Principles
3. Interoperability across open diverse
ecosystems with diverse business
models.

63. ECOSYSTEM
CONSORTIUM
PERSONAL
DATA Core Principles
4. The creation of successful business
models to deliver return on investment
justifications and monetization strategies
for companies operating in the personal
data ecosystem.

64. How do we do this?
• Exclusive Authoritative Market Research
• Insightful White Papers to Shape the Market Understanding
• Online interactive Member Resources
• Speakers Bureau
• Tutorials and Webinars and Community Calls
• Member Action and Research Committees
• Focused sessions at Conferences
We exist to activate and broaden the Personal Data
Ecosystem. An Ecosystem that centers on people
and their data, that enables organisations to make
person-centered data logistics a reality.

65. ECOSYSTEM
CONSORTIUM
PERSONAL
DATA
www.pde.cc/membership
Dean Landsman, dean@pde.cc
PDEC Executive Director
Kaliya Young,
PDEC Founder
kaliya@identitywoman.net