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Author Archives: Gwen Thomas

Currently the Corporate Data Advocate at the World Bank Group's private sector arm (IFC, The International Finance Corporation), Gwen Thomas is the Founder of The Data Governance Institute and primary author of the DGI Data Governance Framework. Gwen has personally helped build Data Governance programs at the Federal Reserve System, Sallie Mae, Disney World, NDCHealth/Wolters Kluwer, American Express, Washington Mutual Bank (WaMu), Minnesota Pollution Control Agency, Wachovia Bank, Coors, and others. Gwen frequently presents at industry events and contributes to IT and business publications. She is the author of the book Alpha Males and Data Disasters: The Case for Data Governance.

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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Focus Areas for Data Governance: Focus on Data Warehouses and Business Intelligence (BI)

This type of program typically comes into existence in conjunction with a specific data warehouse, data mart, or BI tool. These types of efforts require tough data-related decisions, so organizations often implement governance to help make initial decisions, to support ...

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Focus Areas for Data Governance: Focus on Architecture / Integration

This type of program typically comes into existence in conjunction with a major system acquisition, development effort, or update that requires new levels of cross-functional decision-making and accountabilities.   What other types of groups and initiatives might want such a ...

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Focus Areas for Data Governance: Focus on Privacy / Compliance / Security

This type of program typically comes into existence because of concerns about Data Information Security controls, or compliance. Compliance, in this context, may refer to regulatory compliance, contractual compliance, or compliance with internal requirements. This focus is often seen combined ...

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Focus Areas for Data Governance: Focus on Data Quality

This type of program typically comes into existence because of issues around the quality, integrity, or usability of data. It may be sponsored by a Data Quality group or a business team that needs better quality data. (For example: Data ...

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