How often do you think companies should update their data quality strategy? Yearly? Every three years? On a case-by-case basis as problems arise? Thanks!
That is a fantastic question, one that I have been discussing with colleagues a lot lately.
One of the main issues we see is that as the data quality improvement activity starts within an organization, more data issues are found and subsequently fixed, which means that the most critical problems often are solved relatively quickly. After that, though, there is a perception of diminishing returns, as the remaining issues may have less business impact yet be thornier to solve. And in fact, the data quality problems that need to be addressed going forward typically are different types of problems, especially as your organization matures from reacting to emerging problems to anticipating known problems to speculating about unknown problems.
That being said, an annual review and realignment of objectives with corresponding presentations and an updated business case for data quality would be reasonable, and I would suggest at least reviewing and revising the overall data quality plan every other year.
Dig Deeper on Data quality techniques and best practices
Related Q&A from David Loshin
Learn how to get senior management to buy into data governance. Get tips on selling data governance policies and processes to executives who can ...continue reading
Learn about emerging data governance trends for 2011, including more use of data governance tools and data quality metrics and scorecards. Find out ...continue reading
Is it OK to implement data quality software but ignore your data governance policies? Learn more about the relationship between data quality software...continue reading
Have a question for an expert?
Please add a title for your question
Get answers from a TechTarget expert on whatever's puzzling you.