Informatica Data Governance FrameworkDefining a Strategy for Success

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Clarke PattersonSr. Director – Product Marketing

Agenda

• The Role of Data Governance

• Assessing Maturity

• Understanding the Components

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• Defining a Strategy

Data Governance is a Business Function

Data governance should be managed as a business function, no differentthan Corporate Finance or Human Resources

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Corporate Finance

CHARTEREDTO PROTECT AND OPTIMIZE BUSINESSVALUE DERIVED FROM:

ENABLED THROUGHEFFECTIVE USE OFTECHNOLOGY:

e.g., ERP, Spreadsheets,FP&A tools, BI/DW

FINANCIALassets

PEOPLE

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Human Resources

Data Governance

e.g., HRMS, performancemgmt, recruiting apps

e.g., Data integration, DQ,MDM, ILM, data security,BI/analytics

PEOPLEassets

DATAassets

All business functions are comprised of people, policies, and processes

with a clear way to measure success,

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with a clear way to measure success, compliance and effectiveness

-OR-

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Service and consulting partners can help get you started, but – like a Finance function – data

governance cannot be outsourced

Data Governance Maturity Stages

2: Repeatable• Still grassroots

3: Defined• Begins more top-down sponsorship, but primarily senior

4: Managed• Data governance program sponsored by business leaders.

• Initiated as part

5: Optimized• Top executive/board-level sponsorship and support.

• Data governance embraced as a self-sustainingcore business

Bus

ines

s-dr

iven IT

efficiencyandcompliance

Risk reduction, cost controls & business efficiencies

Greater compliance, efficiencyand support revenue growth

Strategic differentiation

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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

• 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

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

• 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

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-d

riven

Fragmented Holistic

Breakthroughthe Business

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the Business Value Ceiling!

Data Governance is not – and should Never have been – About the Data…

…the vision mustbe to improve the business processes,

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decisions and interactions trusted, secure data enables!

Holistic Data Governance and Stewardship

Holistic Data Governance

Senior Executive Driven

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Holistic Data Stewardship

Front-Line Business And IT Enabled

Don’t start from a blank slate: Leverage existing d ata policies on the path to governing full data lifecyc le

Information Security Policies

Privacy, Contact Mgmt Policies

Governance, Risk and Compliance

External policies (e.g., regulators, partners, trade associations)

Biz-driven policies(e.g., Regulatory)

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Data Governance

EA Standards

SOA Governance

Integration Competency Center

IT-driven policies(e.g., IT agility/ efficiency)

IT Governance

BI, DQ, MDM... Governance

The Ten Facets of Data Governance

People Vision and Business Case Tools andArchitecture

DependentProcesses

MeasurementOrg

AlignmentChange

ManagementPolicies

DefinedProcesses

ProgramManagement

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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

DataMeasureand Define

Discover

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• 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

DataGovernance

Apply

andMonitor

Define

1. What are the top business imperatives as defined by your most senior leadership?

2. What organizational business processes, decisions and stakeholder (e.g., customer, partner, employee) interactions are most important in support of these top imperatives?

Identify Candidate Business Opportunities

Data

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top imperatives?

3. What data and applications are used to support those processes, decisions and interactions?

Scope thousands of “relevant” data items to dozens or hundreds of “critical”

4. What upstream people, systems, and processes create, capture, and update that data?

5. What is the business end user’s level of confidence in the security and trustworthiness of that data?

Use Discovery Processes to Prioritize Data Quality Roadmap

Data

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trustworthiness of that data?

Repeat process and reassess priorities ongoing (quarterly or bi-annually at minimum)

Data Governance PrioritizationTop 10 Business Opportunities

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35

7 9

104.00

5.00

6.00

Bus

ines

s V

alue

Business Opportunity Name

Consider Prioritize

# Business Opportunity Name

1 Reduce eDiscovery risk

2 Improve customer satisfaction scores

3 Improve call center efficiency

4 Improve financial reporting

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1

2

4

6

8

0.00

1.00

2.00

3.00

0.001.002.003.004.005.006.00

Bus

ines

s V

alue

High <--- Investment & Effort ---> Low

ExperimentIgnore

5 Optimize supply chain

6 Reduce global data sync (GDSN) failures

7 Improve upsell/cross-sell

8 Introduce new mobile ecommerce channel

9 Accelerate acquisition integration

10 Improve sales territory alignment process

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