1. Building a Data Strategy
DRIVE 2015
A Holistic View of Data Management
2. Consider Data Governance
• Data Governance is NOT about data
But rather,
Data Governance is a business function
• Data Governance objective:
Deliver business benefits with
clean, connected and safe data
Sample benefits:
• Meeting the compliance requirements
• Cost reduction & improved efficiency
• Increased cross-sell and up-sell
opportunities
• Performing more advanced analytics
4. 4
Journey to Holistic Data Governance
Ad Hoc Engineered
Fragmented Departmentalized Systemized Standardized
Process evolution:
Technology evolution:
Projectized ProgramizedReactive Proactive
REACTIVE vs PROACTIVE
How much risks are you exposing
by only putting out fire?
5. Data Governance Maturity Stages
Fragmented Holistic
IT-drivenBusiness-driven
IT
efficiency
and
compliance
Risk
reduction,
cost controls,
& business
efficiencies
Greater
compliance,
Efficiency,
and support
for revenue
growth
Strategic
differentiation
0: Unaware
• No activity
1: Initial
• Ad hoc
2: Repeatable
• Pilot
3: Defined
• Project
4: Managed
• Program
5: Optimized
• Function
Fragmented Holistic
IT-drivenBusiness-driven
6. Data Governance Maturity Stages
0: Unaware
• Minimal focus on
data quality or
security.
• Data not
prioritized in any
meaningful,
actionable way.
• Zero
measurement.
• No activity
1: Initial
• Primarily
grassroots driven
by a few passionate
individuals.
• Implement ad hoc
rules, policies
and/or standards as
functional
requirements into
IT project.
• Measured primarily
on success of
technology release.
• Ad hoc
2: Repeatable
• Still grassroots
but moving up to
an EA or IT
management
level.
• Documented IT
governance and
EA standards
driving metadata
reuse and
improved
collaboration
across IT
projects.
• Measured
primarily on
improved IT
efficiencies.
• Pilot
3: Defined
• Begins more top-
down
sponsorship, but
primarily senior
IT.
• Adopt
competency
centers and
centers of
excellence (e.g.,
ICC; BICoE). IT-
led, but business
involved.
• Primary
measured on
operational
metrics and
SLAs.
• Project
4: Managed
• Data governance
program
sponsored by
business
leaders.
• Initiated as part
of a broader
strategic
enterprise
information
management
program.
• DG lives through
multi-phase,
multi-year efforts
but measured
based on
success of
program.
• Program.
5: Optimized
• Top
executive/board-
level
sponsorship and
support.
• Data governance
embraced as a
self-sustaining
core business
function
managing data
as a corporate
asset.
• Measured on
total impact to
the business, not
just confined to
specific
programs or
strategies.
• Function
IT-drivenBusiness-driven
Fragmented Holistic
IT
efficiency
and
compliance
Risk
reduction,
cost controls
& business
efficiencies
Greater
compliance,
efficiency
and support
revenue
growth
Strategic
differentiation
7. Holistic Data Governance and Stewardship
Holistic Data
Governance
Holistic Data
Stewardship
Senior Executive Driven
Front-Line Business And IT Enabled
8. Flavors of Data Governance Measurement
Operational
monitoring
Service Level
Agreements (SLAs)
Program
effectiveness
Business Value/ROI
Data Governance Leader,
LOB and Data Stewards
Executive Sponsors and
Steering Committee
9. Data Governance Process Stages
Discover
• Data discovery
• Data profiling
• Data inventories
• Process inventories
• CRUD analysis
• Capabilities assessment
Define
• Business glossary creation
• Data classifications
• Data relationships
• Reference data
• Business rules
• Data governance policies
• Other dependent policies
• Key Performance IndicatorsMeasure
and Monitor
• Proactive monitoring
• Operational dashboards
• Reactive operational DQ audits
• Dashboard monitoring/audits
• Data lineage analysis
• Program performance
• Business value/ROI
Apply
• Automated rules
• Manual rules
• End to end workflows
• Business/IT collaboration
Apply
Data
Governance
Apply
Measure
and
Monitor
Define
Discover
IT Business
Collaborate
