my data, my value: 6 sense making diagrams from the personal data ecosystem

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

I founded it in 2010

These were the pioneering companies

PERSONAL DATA ECOSYSTEM CONSORTIUM

Worked with WEF to include our perspective in

their re-thinking personal data reports.

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

What do we mean by Personal Data?

7

ASSET DATA

8

RELATIONSHIPS

9

10

11

HEALTH DATA

12

COMMUNICATIONS

13

ACTIVITY

14

CONTENT

15

CONTEXT

16

IDENTITY

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.

What happens to Personal Data?

DATA USES:

Personal Data Ecosystem

Publicexamples:

UTILITYCOMPANIES

MEDIA GOVERNMENTAGENCIES

examples:

Medical

PHARMACIESHOSPITALS DOCTORS& NURSES

examples:

Retail

RETAILSTORES

AIRLINES CREDIT CARDCOMPANIES

examples:

SOCIALNETWORKING

SERVICES

RETAIL &CONTENTWEBSITES

BUY ONE,

GET ONE!SPECIALOFFER!

Internet

examples:

Financial & Insurace

STOCKCOMPANIES

INSURANCE BANKS

Information Brokers

Websites

Catalog Co-ops

Media Archives

List Brokers

Affiliates

DATACOLLECTORS(sources)

Media

Marketers

Employers

Banks

Product & ServiceDelivery

Government

Lawyers/Private Investigators

Individuals

Law Enforcement

DATABROKERS

DATAUSERS

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, includingcontent, e-mail, search, and social networking

Product and service delivery, such asstreaming video, package delivery, ora cable signal

Attorneys, such as for caseinvestigations

Individual

examples:

Telecommunications & Mobile

CARRIERSMOBILEPROVIDERS

CABLECOMPANIES

Journalism, such as for fact checking

Marketing, whether electronically, through direct mail, or by telephone

Data brokers for aggregation and resaleto companies and/or consumers

Background investigations by employersor landlords

Locating missing or lost persons, beneficiaries, or witnesses

Law enforcement

Research (e.g., health, financial, andonline search data) by academicinstitutions, government agencies, andcommercial companies

Fraud detection and prevention

Government benefits and services,such as licensing

Publicexamples:

UTILITYCOMPANIES

MEDIA GOVERNMENTAGENCIES

examples:

Medical

PHARMACIESHOSPITALS DOCTORS& NURSES

examples:

Retail

RETAILSTORES

AIRLINES CREDIT CARDCOMPANIES

examples:

SOCIALNETWORKING

SERVICES

SEARCHENGINES

RETAIL &CONTENTWEBSITES

BUY ONE,GET ONE!

SPECIALOFFER!

Internet

examples:

Financial & Insurace

STOCKCOMPANIES

INSURANCE BANKS

Information Brokers

Websites

Catalog Co-ops

Media Archives

List Brokers

Affiliates

Media

Marketers

Employers

Banks

Product & ServiceDelivery

Government

Lawyers/Private Investigators

Individuals

Law Enforcement

Credit Bureaus

Healthcare Analytics

Ad Networks & Analytics Companies

examples:

Telecommunications & Mobile

ISPsMOBILEPROVIDERS

CABLECOMPANIES

examples:

https://www.ftc.gov/sites/default/files/documents/public_events/exploring-privacy-roundtable-series/personaldataecosystem.pdf

Value Network Analysis

Generating More Data than Ever

Less Control Than Ever

Wall Street Journal What they Know

Wall Street Journal What they Know

People’s Data is being aggregated

exploited

without their knowledge or consent.

People’s Data is being aggregated exploited

without their knowledge or consent.

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/

Requirements for Data to be stored

“in country”.

Regulatory Landscape is Changing

IoT

Big Data is Personal Data

Personalization requires

personal data

& a relationship between

customer and businesses & brands.

From Exploitation

to Appreciation

How do we understand the landscape and Business Opportunity?

43

On the individual side, people produce data

45

Vendor Relationships Management

47

Infomediary Services

49

Data Aggregation Services

51

The “Stop It” Companies

53

Invomediary Model

Frameworks that Existor are in the

process of Development.

55

Invomediary Model

56

Invomediary Model

6 Diagrams to Understand

Personal Data

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

ECOSYSTEMCONSORTIUM

PERSONAL DATA

I invite you to join us!

ECOSYSTEMCONSORTIUM

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.

ECOSYSTEMCONSORTIUM

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.

ECOSYSTEMCONSORTIUM

PERSONAL DATA Core Principles

3. Interoperability across open diverse ecosystems with diverse business models.

ECOSYSTEMCONSORTIUM

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.

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.

ECOSYSTEMCONSORTIUM

PERSONAL DATA

www.pde.cc/membership

Dean Landsman, dean@pde.cc PDEC Executive Director

Kaliya Young,PDEC Founder kaliya@identitywoman.net