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Data Governance Policy

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What is a Data Governance Policy?

Data governance policy is concerned with how an organization collects, stores, accesses and maintains its data.  As data is now a core enterprise asset, ensuring it is properly maintained and controlled is critical.

When creating a data governance program there are at least 4 core areas to consider:

  • Data Governance Structure
    • This area is primarily concerned with who is going to lead the effort to collect, store and maintain data.  It includes defining roles such as Sponsors, Data Stewards, Owners and Users.  In addition, each role will have specific tasks and objectives that relate to how they manage and leverage data in the organization.
  • Data Access Policies
    • Collecting and storing data is not enough.  You must ensure that all users know what data is available and who can access the data.  Access needs to be controlled to ensure users can only see the data that they are qualified to see.
  • Data Integrity Policies
    • These policies focus on how to maintain data within the enterprise.  Areas of focus for these policies include data quality, validity and reliability of the data collected and stored.  Policies regarding data integrity start by focusing on the critical data elements of your organization and expanding once core data is cleaned and enhanced.
  • Data Usage Policies
    • Policies for data usage specifies who can access what data and for what purpose.  Examples of data usage include public, private and sensitive.

The post Data Governance Policy appeared first on BI and Predictive Analytics.

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