14 data governance artifacts

I know it’s not easy to put the necessary foundation in place for a successful data governance program, not to even mention the data governance artifacts / deliverables. On the foundation piece, I’m referring to the:

Let’s assume you have all this figured out and if not, you can get some clarity by starting to read the resources referenced above. The next question you might ask yourself is:

What are some of the must have data governance artifacts my program should yield?

By artifacts, of course, you and I mean data governance deliverables. Well, it depends on the drivers and priorities of your program, but these are the 14 must have artifacts which your data governance program will output:

14 data governance artifacts

  1. Standards
  2. Policies
  3. Data quality processes/ procedures
  4. Business processes/ procedures
  5. Business glossary
  6. Data owners & stakeholders RACI matrix
  7. Data quality issues log
  8. Data quality scorecard
  9. Data governance scorecard
  10. Data sources inventory
  11. Data classification
  12. Data model
  13. Data catalog
  14. Data dictionary

I will start addressing these in further details within future articles. Meanwhile, please read the available content and let me know which ones of the above would interest you most.


  • Pooja Verma says:

    Hey George, thanks a lot for all the content you post on Data! Been very helpful in my journey.
    Quick question – do you recommend having both a Business Glossary and a Data Catalog? I thought a Data Catalog included all the info that a Business Glossary includes and more!

    • Hi Pooja, it definitely depends on the Data Catalog’s capabilities. More and more data catalogs are also incorporating functionalities from the Business Glossary and Data Dictionary so that they come in as part of the package. Others just integrate with other tools that offer that and some offer these as optional modules (ex: a Data Catalog for which you can purchase a Business Glossary module).

  • Odunayo Ajayi says:

    Your content is great! I would like to learn more about how to create Standards
    and Policies.

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    About the author 

    George Firican

    George Firican is the Director of Data Governance and Business Intelligence at the University of British Columbia, which is ranked among the top 20 public universities in the world. His passion for data led him towards award-winning program implementations in the data governance, data quality, and business intelligence fields. Due to his desire for continuous improvement and knowledge sharing, he founded LightsOnData, a website which offers free templates, definitions, best practices, articles and other useful resources to help with data governance and data management questions and challenges. He also has over twelve years of project management and business/technical analysis experience in the higher education, fundraising, software and web development, and e-commerce industries.

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