This is the presentation on DG andDMBOK2 I gave at TAG Data Governance Society in August of 2017.

1. Hello! I am Peter Vennel
 Head of Data Management, Safe-Guard Products International
 Certified Data Management Professional (CDMP)
 Certified Business Intelligence Professional(CBIP)
 Sun Certified Enterprise Architect (SCEA)
 Project Management Professional (PMP)
 Board Member, TAG Data Governance Society
 Board and Founding member, DAMA Georgia
 Industry Advisory Board, College of Computing and Software Engineering – KSU
 Reviewer DAMA DMBOK2 (released June 2017)

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3. The development, execution and supervision of plans, policies, programs and
practices that deliver, control, protect and enhance the value of data and
information assets throughout their lifecycles. ©DMBOK2
The exercise of authority and control (planning, monitoring and enforcement)
over the management of data assets. ©DMBOK2
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Data Management
Data Governance

4. Transactional Data Analytical Data
Structured for faster Inserts, Updates
and processing.
Composed of multiple source
systems.
Data Quality issues.
Business priority is to process as
much transactions as possible.
Tactical use.
Structured for faster reporting and
mashups.
Integrated centralized repository.
Controlled Data Quality.
Business priority is to ensure highest
quality of Data.
Strategic use.
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5. ©DAMA DMBOK2
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6.  How are decisions made?
 Who makes them?
 How are committees used?
 Who currently manages data?
 Centralized
 Decentralized
 Hybrid/Federated
 Data Management Owner
 Data Governance Owner
 Subject Matter Experts
 Leadership
CULTURE OPERATING MODEL PEOPLE
©DAMA DMBOK2
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7. ©DAMA DMBOK2
Projects
Chief Information OfficerChief Data Officer
IT Organizations
Data Management
Executives
Program
Management
Data
Management
Services
(DMS)
Data Architects
Coordinating Data
Stewards
Data Analyst
Technical Data
Stewards or SMEs
Program
Steering
Committees
Program
Management
Office
Program
Management
Data
Governance Office
(DGO)
Chief Data Steward
Executive Data Stewards
Coordinating Data
Stewards
Data Analysts
Data Owners
Business Data Stewards
or SMEs
Data
Governance
Council
(DGC)
Data Governance Steering
Committee
SubjectArea
SubjectArea
SubjectArea
SubjectArea
Enterprise
Divisions&
Programs
Local
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Legislative & Judicial View
Do the right things
Executive View
Do the things right

8. Decentralized Operating Model
LOB/BU
Data Management Steering Committee
LOB/BU Data Management Group
Data
Stewards
Application
Architects
Business
Analysts
Data
Analysts
©DAMA DMBOK2
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9. Centralized Operating Model
Business / Line of Business
Executive
Sponsor
Steering
Committee
Data
Management
Lead
Business Support Technical Support
Business
Analysis
Group
Data
Management
Group
Data
Architecture
Group
Technical
Data Analysis
Group
©DAMA DMBOK2
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10. Hybrid Operating Model
Steering Committee
Data Management Center of
Excellence
Data Management Business Unit Teams
Business Stakeholders IT Enablement
BU Data Management
©DAMA DMBOK2
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11. Federated Operating Model
Enterprise Information Management Steering Committee
Enterprise Data Management
Center of Excellence
Data Management Groups
Divisional
Data
Management
Group
Business
Stakeholders
IT Enablement
Divisional
Data
Management
Group
Divisional
Data
Management
Group
Business
Stakeholders
Business
Stakeholders
IT Enablement IT Enablement
©DAMA DMBOK211

12. Data Issue Escalation Path
Data Governance Steering Committee
Data Governance Council
Business Unit Data Governance
Data Stewardship Teams
< 5%
< 20%
80 – 85% of
conflicts resolved
at this level
Strategic
Strategic
Tactical
&
Operational
©DAMA DMBOK2
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13. Data Stewards
Chief Data Steward
Executive Data Stewards
Enterprise Data Stewards
Business Data Stewards
Technical Data Stewards
Coordinating Data Steward
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15. Data Management Maturity Model Example
• Little or no
governance.
• Limited tool set.
• Roles defined within
silos.
• Controls applied
inconsistently, if at all.
• Data quality issues not
addressed.
• Emerging governance.
• Introduction of a
consistent tool set.
• Some roles and
processes defined.
• Growing awareness of
impact of data quality
issues.
• Data viewed as an
organizational enabler.
• Scalable processes and
tools; reduction in
manual processes.
• Process outcomes
include data quality,
are more predictable.
• Centralized planning
and governance.
• Management of risks
related to data.
• Data Management
performance metrics.
• Measurable
improvements in data
quality.
• Highly predictable
processes.
• Reduced risk.
• Well understood
metrics to manage
data quality and
process quality.
Level 1
Initial / Ad hoc
Level 2
Repeatable
Level 3
Defined
Level 4
Managed
Level 5
Optimized
©DAMA DMBOK2
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16. Data Management Maturity Assessment
©DAMA DMBOK2
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17.  Enterprise-wide
 Centralized
 Transparent
 Religion
 Continuous Improvement
 Leadership Support
Successful Data Governance
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18. Ernesto Sirolli
Sustainable Development Expert
Ernesto Sirolli got his start doing aid work in Africa in the 70's
and quickly realized how ineffective it was.
Shut up and Listen!
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19.  Safe-Guard Products International is leading provider of Finance and Insurance in the
automotive aftermarket industry
 We also serve RV, Marine and Motorcycle/Powersports segments.
 Founded in 1992 and based in Atlanta
 We provide suite of products that keep you covered for both the expected and unexpected
cost of vehicle maintenance and repair.
 Proud partner to more than half of the country’s top 500 dealership, general agents and
largest dealer groups in US and Canada.
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20. SGI System
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21. Challenges
 Single version of truth missing.
 Lack of Enterprise procedures and policies.
 Lack of Ownership and Accountability.
 Knowledgebase scattered across various pockets within the organization.
 Missing collaboration across the organization for data centric task.
 Data Quality not mature.
 Lack of Transparency for Process and Business rules.
 Formal leadership support.
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22.  Understand Leadership vision and strategy.
 Listened to people across the organization.
 Understand the current state of the union.
 Identified Data Stewards and formalized the roles.
 Rallied to get the right people on my side.
 Formed DG Council.
 Formulating Enterprise rules and process.
My Data Governance Journey so far…
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23. Some great sites for Data Governance
DAMA International (www.dama.org)
DAMA Georgia (www.dama-ga.org)
Dataversity (www.dataversity.net)
The Data Governance Institute (www.datagovernance.com)
The Data Administration Newsletter (www.tdan.com)
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