This document discusses the importance of data governance and outlines its benefits. It notes that without data governance, bad or incorrect data can proliferate throughout an organization, leading to increased costs and inaccurate decision making. Some key benefits of data governance include improved data quality, a single source of truth, more consistent and fact-based decision making, and alignment with business strategy. The document also provides an overview of how to implement a data governance program, including establishing roles and responsibilities, developing governance processes and policies, and using tools and systems to operationalize governance.

1. Business Impact Without Data Governance
John Bao Vuu
Director of Data Management
www.enterpriseim.com
www.linkedin.com/in/johnvuu

2. Director of DM
Consultant | Advisor
John Vuu SPECIALTIES
✓ EIM Strategy & Solutions
✓ Data Governance / DQ
✓ Business Analytics
✓ Data Warehouse
INDUSTRIES
✓ Banking
✓ Insurance
✓ Ecommerce
✓ Healthcare
• 18 years experience in Data Management
• Founder of 2 technology companies
• Former Accenture BI Consultant
• DM Director at EIM Partners
• BA degree in Finance – Western WWU, Washington, USA
• BS degree Information Systems – WWU, Washington, USA
About the Speaker

3. PRESENTATION OUTLINE
1. What is Data Governance?
2. Business Impact without Data Governance
3. Benefits of Data Governance
4. Implementing Data Governance

4. What is Data Governance?

5. Common Concepts of Data Governance
Data Governance
Is a collection of practices
and processes which help
to ensure the unified
management of data
assets within an
organization.

6. Business Impact of
NOT having Data Governance

7. Data Capture
& Storage
Operational
Data Consumption
Strategic
Data Consumption
1. Missing data
2. Duplicated data
3. Incorrect data
1. Bad data proliferation to systems
2. Integrated to business processes
3. Used widely by departments
1. Incorrect view of business performance
2. Incorrect data, used for forecasting,
reporting
3. Incorrect data, used in strategic planning
and decision making
Data Flow: Business Impact of not having Data Governance
Bad data Bad data
Low Cost Moderate Cost High Cost
Cost of fixing often done by
individual or team early on
Cost to:
• Reputation
• Missed Opportunity
• Productivity
Cost of fixing is more significant,
data proliferated to many systems
and departments

8. Enterprise Information Management
Example: Data Sharing Across Departments
Coll
BD
Fin
Sales SALES
FINANCE
BUS. DEV.
RISK
COLLECTION
Risk
Department
Data Marts
Business
Functions
Source
Systems
LOS
CRM
ERP
Web App
A B C

9. Enterprise Information Management
Example: Data Sharing Across Departments
Coll
Fin
Sales
Risk
Department
Data Mart
Cross-Functional
Data Sharing
Replicated
Data Source
A B C
ODS Coll
Fin
Sales
Risk
Ops Ops

10. Enterprise Information Management
Example: Cross-Functional Data Exchange
DEPT. A
Extracts Data from
Collection System
to its Datamart
DEPT. A
Generates its own
Reports and
provides data to
DEPT. B
DEPT. B
Takes ACTION:
Updates customer
Account, Process
Approval, Offering,
Commission, etc.
DEPT. B
Deals with
consequences of
error and from
poor data quality
and business
process
DEPT. B
Check DEPT A’s
work and makes
its own
corrections
ACTION
DMCOLL

11. Benefits of Data Governance

12. What is the most important benefit of
Data Governance?
Improved Decision-Making 29.2%
Improved Operational Efficiency 18.8%
Improved Data Understanding and Lineage 16.7%
Improved Data Quality 16.7%
Complying with Industry Regulations 8.3%
Driving Revenue 4.2%
All Other 6.3%
Key Benefits of a Data Governance Program
Survey result of 60 Organizations across the U.S.

13. Minimize the risk to
decision makers
Established clear roles
and responsibilities
Additional Business Benefits of Data Governance
Cohesive, consistent and
reliable data across functions
Common business
language
Consolidated
customer view
Alignment with business
strategy of the organization
Business Benefits
✓ Single source of truth
✓ Fact-based decision making
✓ Consistency and integrity of data
✓ Greater process integration across all
systems
✓ Protect information assets and
support broader business goals
✓ Increased cooperation across
business units
✓ Establish and maintain data lineage
✓ Standardize and streamline data
management processes

14. Implementing
Data Governance

15. Enterprise Information Management
Foundation for Data Governance
Data
Governance
PEOPLE PROCESS
SYSTEMS

16. Enterprise Information Management
PEOPLE: Key Management Roles
Data Custodian
Industry ModelStakeholders
Data Owner Data Steward

17. Enterprise Information Management
PROCESS: Data Governance Framework / Operating Process
Conceptual Framework
Operating Process

18. Enterprise Information Management
SYSTEMS: Operational Source Systems
Coll
BD
Fin
Sales SALES
FINANCE
BUS. DEV.
RISK
COLLECTION
Risk
Department
Data Marts
Business
Units
Source
Systems
LOS
CRM
ERP
Web App
Data Governance Framework & Operating Process

19. Enterprise Information Management
BIG PICTURE: The Data Governance Program
Data
Governance
Big Data
Analytics
Business
Intelligence
Data
Warehouse
Management
&Oversight
Oversight, Governance, Support, Management,
DataMgmt.
Initiatives
Business
Operations
Business
Intelligence
Business
Analytics
Strategic
Initiatives
Business
Units
Stakeholders, Sponsors, Business Owners, End-Users
SALES FINANCE BD RISK MRKTNG
Program
Operationalization
DM Roadmap
Future Vision
• Business / IT
Drivers
• Current / Future
State
• DM Maturity
Assessment
• Prioritization /
Selection
• Timeline /
Milestones
• KIP / Metrics /
Dashboard
• Oversight /
Management
• Process
Framework
• Toolsets / Best
Practices
• KPI / Metrics /
Dashboard
• Agile / Lean
Methodologies
• Policies /
Standards
Starting with Data Governance

20. Learn more about EIM
Request an onsite consultation
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