Data Governance and MDM
By David Butler on Jun 29, 2010
Data Governance and Master Data Management are joined at the hip. They need each other for the full potential if either to be realized. Data Governance methodologies have been with us for a long time. Over the years, significant progress has been made on the organizational front, but tools to actually implement the information policies developed by data governance committees were not available. MDM on the other hand, incorporates the tools to enforce data standards, but lacks the ability to know what those standards should be. Together, they complete the link between corporate policy and strong data controls.
An example helps illustrate this point. Consider the following business policy statement.
"This company will not sell its products to anyone 13 years old or younger without parental permission."
A Data Governance committee would take this business policy and create the following information policies:
· All customer information will include family relationships whenever children are included.
· All customer profiles will include a full "data of birth" in the form dd/mm/yyyy.
The MDM Data Steward would then execute the following data rules:
· Define all family relationships in the customer data model.
· Insure that the DOB field was in the format dd/mm/yyyy.
· At customer creation time, relationships would be populated and the data of birth checked for accuracy. Any deviation from the rule would create an error message to the user to correct the problem.
We see from this example that MDM executes the strong data controls established by the Data Governance program.
For more information, read the Oracle Master Data Management whitepaper.