More and more companies are recognizing that they’re accumulating ever-increasing amounts of data but not necessarily gaining business insights from it. The missing link is the transformation of data into information that is comprehensive, consistent, correct and current. That isn’t a problem technology can solve for you: The key step is establishing a data governance program to help your organization truly treat its data as a corporate asset by enforcing consistent definitions, rules, policies and procedures.
More and more companies are recognizing that they’re accumulating ever-increasing amounts of data but not necessarily gaining business insights from it. The missing link is the transformation of data into information that is comprehensive, consistent, correct and current. That isn’t a problem technology can solve for you: The key step is establishing a data governance program to help your organization truly treat its data as a corporate asset by enforcing consistent definitions, rules, policies and procedures.
That’s the goal, at least. Although enterprise data governance efforts have been launched at many companies, the success rate of these initiatives hasn’t been encouraging. There’s a lot of advice available on data governance best practices that should be adopted. The following discusses the top “worst practices” and pitfalls that enterprises need to avoid. Consider it a roadmap of red flags to alert you that your governance program may be heading down the wrong path.
>>>Read the rest of my article, A must to avoid: Worst practices in enterprise data governance