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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 models for funding such efforts.

      • Program funding (similar to funding a PMO)
      • Using a project’s budget to fund these efforts
      • Listing these activities as line items in other projects’ or departments’ budgets
      • Charge-backs to stakeholder groups
      • No funding – treating these efforts as “crack-filler” activities

It should be noted that the last option – treating these efforts as activities to be completed “as time permits” – is rarely judged as satisfactory to Data Stakeholders. On the other hand, sometimes it is the only option available during the period between deciding to start these activities and the organization’s next formal funding cycle.

 

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

 

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About 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.