Implementing a Data Governance Program

Data governance programs have a very low success rate. While there are many reasons for this, most often it is because they are overly ambitious. Successful data governance programs start small and expand enterprise wide. The following series of blogs will outline an approach for creating and sustaining a data governance program.

Identify a specific business issue/problem – Part 1:
 
Every business has some pressing issue/problem that needs to be addressed. Some of them will be data related. Here are some examples:
  • The company audit failed and the CFO is looking for a solution that will prevent it from happening again
  • A healthcare payer organization is not able to deliver metrics to a regulatory body on time
  • A manufacturing company takes three weeks to close their books
  • A company has to adjust the numbers they reported because there was ambiguity in how a particular income measure was defined
These are all examples of lack of rigor and oversight (governance) which leads to financial/productivity loss. Some of them may result in significant fines. It is easy to make a business case in these type of situations.
 
Once the problem is identified, Find someone with a burning issue – Part 2:
 
Coming next week…

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