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Getting Started

How do you put together a sustainable Data Governance and Stewardship program? Here Gwen provides definitions, a discussion of Governance versus Stewardship, and typical program goals and principles. She provides guidance for starting a program and describes the different implementation phases of a program.

Data Governance Program Phases

A Data Governance Life Cycle All programs have lifecycles. The Data Governance Life Cycle has seven phases: Develop a value statement Prepare a roadmap Plan and fund Design Deploy Govern Monitor, measure, report. Note that Data Governance does not begin with ...

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Starting a Data Governance Program

A successful Data Governance program does not begin with the design of the program! Before you start deciding who goes on what committee, you should be clear about your program’s value statement. You should have developed a roadmap to share ...

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Goals and Principles for Data Governance

What do you want Data Governance to accomplish? Regardless of the focus of your program, chances are you hope to accomplish the following universal goals for Data Governance programs: Goal – Enable better decision-making Goal – Reduce operational friction Goal – Protect the ...

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A New Model: Combining Portfolio Management and Data Governance Recommendations

Decision Models for Data Governance from the Data Governance Institute

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A Legacy Approach: Portfolio Management

Decision Models for Data Governance from the Data Governance Institute

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Funding Projects And Efforts That Result From Governance-Led Issue Analysis

All companies struggle with how to respond to recommendations that come out of Data Governance-led issue analysis efforts.  This type of funding is more problematic than the questions of how to fund the development of a program, ongoing governance, and ...

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Funding for Data Stewardship / Data Quality / Issue Analysis

Most organizations with formal Data Governance efforts give a significant level of attention to ongoing Data Stewardship efforts, resolving issues that arise as natural conflicts between stakeholders are uncovered, and/or Data Quality efforts.   Typically, organizations choose one of five ...

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Funding for Ongoing Data Governance

Data Governance programs generally include ongoing efforts designed to help the company achieve one of three universal value mandates: Increase revenue and value Manage cost and complexity Ensure survival through attention to risk and vulnerabilities: compliance, security, privacy, etc. These ...

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Funding Models: Funding Data Governance

The DGI Data Governance Framework addresses funding two ways: Obtaining funding and support is a phase in the Data Governance Life Cycle Funding is part of one of the components of the framework. What type of funding is needed? Data ...

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Focus Areas for Data Governance: Focus on Management Alignment

This type of program typically comes into existence when managers find it difficult to make “routine” data-related management decisions because of their potential effect on operations or compliance efforts. Managers may realize they need to come together to make collaborative ...

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