Home / Guidance By Gwen / Getting Started / Funding Projects And Efforts That Result From Governance-Led Issue Analysis

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 ongoing Stewardship / Quality efforts. It’s tougher because it’s harder to predict. How much time/money/attention should we set aside to correct problems that we haven’t yet analyzed to determine their scope – much less the level of effort to address them?

How can we make accurate budgeting estimates when “we don’t know what we don’t know?”

Clearly, we can’t. And so, organizations usually take a different approach. They create “buckets” of time/money/attention that they can use to solve issues uncovered during governance-led issue analysis.

Still, this is not easy for anyone. Regardless of the focus of the Data Governance program and the frequency of issue analysis efforts, all organizations must answer the same types of questions:

      • Once solutions are identified, how should they be prioritized, and by which part of the organization?
      • While prioritizing them, how should they be ranked against other proposed efforts?
      • How much should it matter that they were not identified early, during budgeting sessions?
      • Now that they have been identified, how should they be paid for, and by whom?

In short, Data Governance-facilitated issue analysis forces organizations to answer a tough question: How do you budget for the unexpected?


Next: A Legacy Approach: Portfolio Management 


Image courtesy of Stoonn at FreeDigitalPhotos.net

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.