Data governance is a data strategy that incorporates disciplines like data quality, data management, data standards, policies, and business process management to support the business strategy. It applies these disciplines enterprise-wide with everyone involved to proactively govern data and maximize its value in supporting business goals.

1. Data Governance 101
Mary Levins, Sierra Creek Consulting
Cassie Elder, Data Craft Partners
February 8, 2016

2. SIERRA CREEK CONSULTING
Value through Governed Datatm
 Sierra Creek Consulting specializes in helping
companies maximize value through governed data.
 We use successful methodologies across People,
Process, Technology, and Data while customizing the
approach to the client’s culture to allow for
sustainable results.
 Our thought leadership and execution capabilities to
provide transformational changes span across several
areas, including
 Data Knowledge Management
 Data Governance
 Master Data Management
 Data Quality
 Business and data process re-engineering
 Voice of the Customer
Mary Levins
 Founder and Data Governance Leader
 20 + years of Enterprise Information
Management Experience
 BS and MS in Industrial & Management
Engineering, Project Management & 6 Sigma
Certified

3. We aid business to mature, evolve and innovate using carefully crafted and intentionally executed
business and data strategies.
DATA MANAGEMENT
gather. classify. protect
BUSINESS INTELLIGENCE
architect. illustrate. operationalize
ADVANCED ANALYTICS
discover. access. distill
 Founder and lead data analytics strategist
 Turn seemingly disparate and jumbled data
sources into valuable inputs to strategic business
plans.
 Turn seemingly disparate and jumbled business
groups into strategic organizations who are able
to unlock the business value of their data
cassie elder
*DataCraft Partners is a woman-owned data strategy firm based in Atlanta, GA, with experienced teams focused on Data
Management, Data Security and Data Science.
DATA CRAFTSMANSHIP

4. Data Governance 101
Learning Objectives
Why? What? When?
Where? Who?
THE FIVE “W”s of Data Governance

5. What is Data Governance?
Data Governance
accountability
standards
strategy
knowledge
consistency
metadata
development
INTENT
learning
Business glossary
Policy rules
Data quality
transparency
authority
change management
issue management
definitions
decision rightsdependencies
Technical information
enterprise
Process
Controls
Business
formal
stewardship
stakeholder
trust
Permissible use
workflow

6. What is Data Governance?
Data Governance
accountability
standards
strategy
knowledge
consistency
metadata
development
INTENT
learning
Business glossary
Policy rules
Data quality
transparency
authority
change management
issue management
definitions
decision rightsdependencies
Technical information
enterprise
Process
Controls
Business
formal
stewardship
stakeholder
is to Bring Value to the Business
trust
Permissible use
workflow

7. Business Drivers for Data Governance
Are Company Specific
Increase
Market
Share
Controlling
Risk
Reducing
Cost
Common Drivers Include

8. Intention
Idea • A really good one
Purpose
Personal
Character
Boundaries
Obsession
Goal!
Usually Missing…
Leads to
Frustration
• Writing it down changes it
from an idea to a purpose
• Do you have your core
values defined? What type
of person do I want to be?
• Your personal character
defines your personal
boundaries – what you’re
willing to do or not do
• All of your actions are
focused on your purpose
and goal
A little bit about behavior and success

9. Wait. What?
No. WHY?

10. Vision
• Where You Want to Be –
You’ve paid consultants a
lot for a fancy “Vision
Statement”
Mission
• You’ve defined “How
You’re Going To Get
There”
Guiding Principles • Guides Decisions and
Actions
Controls
(Boundaries)
• Fail-safe
• Measurements
• Standards
Execution
• All of your actions are
intentionally focused on
your purpose and goal
Business
Goals!
If Missing…
Leads to Confusion,
Frustration & Lack of
Action
Intention &
Strategy
Business Alignment: Strategies. Principles. Action

11. Data Governance is
a Data Strategy that incorporates
disciplines (such as data quality, data
management, data standards, policies,
business process management, and risk
management surrounding the data) to
support the Business Strategy.
Data Governance Definition
Business
Strategy
Data
Strategy
DG
Disciplines

12. Governing the Commons: The Evolution of Institutions for Collective Action
“Organizing is a process; an organization is the result of that process”
“Confusing a model – such as that of a perfectly competitive market – with the theory of which it is one
representation can limit applicability still further.”
“A resource arrangement that works in practice can work in theory.”
Data Governance Isn’t One-Size-Fits-All

13. Data Governance applies to all
Industries
The Drivers and the
Implementation
approach may be
different

14. 2015 Known as “The Year of Data Governance”
Driven by The Year of the Data Breach in 2014
9
48.8
67.1
153.1
2012 2013 2014 2015
NUMBER OF RECORDS HACKED (M)
Increased awareness in the need for Data Governance
(Source: Privacy Rights Clearinghouse)
What
data is at
risk?
How do we
protect our
key data
assets?

15. Global Master Data Management Market
Revenue Growth Prediction
4.35
37.97
2010 2015 2024
Revenue (Billion$)
Successful MDM implementations embrace Data Governance
(Source: transparencymarketresearch.com)
2010: MDM
Goes
Mainstream

16. 20311960 1966 1972 1978 1984 1990 1996 2002 2008 2014 2020 2026
Very Manual
Independent and
Silod
...
...
...
...
Reactive
Very Manual
Cross-functional
Standardization
...
...
...
...
...
...
...
Access Controls (role
based); Segregation of
Duties
...
...
...
...
...
...
...
...
Optimized and Culture-based
approach
Data Governance Enterprise Tools
Formal Data Governance
- Sponsored, Definition,
and Oversight
Strategic &
Policy Era
2010 - 2030
EDW Era
1990 - 2010
ERP Era
1970 - 1990
Application Era
1960 - 1970
9
49
67
153
NUMBER OF
RECORDS
HACKED (M)
DataGovernanceMaturity
Evolution of Data Governance
Related to the rapid growth of Global Data
???
1970: Early
Standardization Efforts
Late 80’s – 90’s:
Common Processes &
Master Solution Designs
Key Business
Decentralized
Processes
(Accounting,
Marketing, Mfg,
Personnel)
1990’s: Expansion and
availability of
Information
2002: SOX
2010: Year of
MDM
RACI
2014: Year of
the Data
Breach
Individual
Efficiency
Enterprise
Value

17. Data Governance 101
Summary – The Five W’s
Why
What
When
Where
Who
Data Strategy to support the Business Strategy
Proactive
Enterprise Wide
Intent
Everyone