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DATA GOVERNANCE – FRIEND OR FOE John A. Eisenhauer Chief of Data Governance, Humana Founder, Data Governance Society Big Data Innovation Summit, Boston 2014

D ATA G OVERNANCE – F RIEND OR F OE John A. Eisenhauer Chief of Data Governance, Humana Founder, Data Governance Society Big Data Innovation Summit, Boston

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DATA GOVERNANCE – FRIEND OR FOE

John A. EisenhauerChief of Data Governance, HumanaFounder, Data Governance Society

Big Data Innovation Summit, Boston 2014

BIG DATA

PRIVACY REGULATION

Gramm-Leach Bliley Act, Right to Financial Privacy Act, Fair Credit Reporting Act, Fair and Accurate Credit Transactions Act, Electronic Communications Privacy Act, Children’s Online Privacy Protection Act, Health Insurance Portability and

Accountability Act

ARE YOU SURE?

Personally Identifiable Information (PII) Personal Credit Information (PCI) Personal Health Information (PHI)

THE TOWER OF BABEL

TIM BERNERS-LEE

THE EFFECT OF STANDARDS

WW

W

HTML

W3C

BANG!

WHERE DOES BIG DATA COME FROM?

Enterprise business systems Government databases (i.e. data.gov) White papers Instrumentation (Factories and laboratories) Social media (i.e. Facebook and Twitter) Traditional media (TV, Newspapers, radio) Videos (YouTube, etc…) Appliances, phones and just about anywhere Airplane engines

THE V’S OF BIG DATA

Volume How much is there?

Velocity How often does it change or grow?

Variety How complex is it?

Value Stay focused on the value.

THE DATA CONUNDRUM

Data is powerful

Data is risky

DATA GOVERNANCE

WHAT DOES DG DO FOR US?

Secures data against malicious intent

Ensures regulatory compliance

Aligns information to organizational needs

WHAT IS DATA GOVERNANCE

Data governance is the set of Principles, Policies and Processes by which an organization ensures that data is protected and aligned with its needs and objectives

DATA STRATEGY AND TRUST

• How will we create, manage and configure enterprise platforms to support the needs of our business?

Bus

ines

s In

telli

genc

e

Mas

ter

Dat

a M

anag

emen

t

Info

rmat

ion

Life

cycl

e M

gmt

Dat

a Arc

hite

ctur

eD

ata

Gov

erna

nce

Information Security

Records Information M

gmt

Rights M

anagement

3rd Party D

ata Managem

ent

Legal Com

pliance

Data Governance

• What does the Organization want to achieve?• What markets will we enter?• What products will we create?• What makes us unique?• What are our operational & financial goals?

• To achieve our mission, what data do we need and what do we intend to do with it?

• How will we Protect and Align the data in accordance with the needs of our business?

Corporate Strategy

Corporate Data Strategy

Technology Architecture(Data Capture & Storage)

Enterprise Platforms (ERP, CRM, Portal, etc…)Database Management, Network Systems, etc…

DATA STRATEGY

A DG Strategy Articulation Straw-man

Facilitate the adoption of information governance

capabilities to promote optimal definition and management of

our information

Establish and promote common business language

to improve customer interactions and reduce

attrition

Provide a branded set of information and

analytical capabilities that enables better

decisions and actions

Establish organization and capabilities to

standardize business information and improve

and sustain data

OWN, Define, Manage, UseEnable us to…

StrategicGoals

…in order to . . .

FoundationalCapabilities:

Information Governance

Info Strategy

Business Info Arch

Master Data Management

Data QualityManagement Stewardship Business

Intelligence

MISSIONVISION KEY TENETS

An organization that leverages information as a competitive

asset

Raise Awareness

Collaborate

Improve Quality

MetricsBusiness Objectives Key Information Assets

INFORMATION STRATEGY

BIGGER DATA –> LESS TRUST

Increased Volume Decreased trust

Increased Velocity Decreased trust

Increased Variety Decreased trust

Trusted Zone

22

Low Confidence High Quality

High Confidence High Quality

--- High Trust ---

Medium Confidence High Quality

High ConfidenceLowQuality

Medium ConfidenceLow Quality

Low ConfidenceLow Quality

--- Low Trust ---

High Confidence Medium Quality

Medium ConfidenceMedium Quality

Low ConfidenceMedium Quality

Con

fiden

ce L

evel

ra

w v

alue

s 0-

105

(C

onfid

ence

Incr

ease

s

)

Quality Level raw values 0-100 (Quality Increases )

MANAGING TRUST

Q&AOpen Discussion