Data Governance vs. Data Quality Discussion

Aug 27, 2024

Ask the Data Governance Coach - Video Series #100

Introduction

  • Celebrating the 100th video of the series.
  • Gratitude expressed for viewer support.

Selection of the 100th Question

  • Decided to answer the most popular question from data governance clinics.
  • Question often asked: Which comes first, data governance or data quality?

Theoretical Perspective

  • Data Governance First:
    • In an ideal world, data governance should come first.
    • Establishes a framework and identifies roles and responsibilities.
    • Helps in determining key stakeholders for data governance initiatives.
    • Once governance is established, definitions and data quality rules can be prioritized.

Practical Perspective

  • Real-World Scenario:
    • Many organizations have ongoing data quality initiatives prior to implementing data governance.
    • These initiatives may include:
      • Data cleansing
      • Data fixing
      • Basic data quality reporting (often misnamed as exception reports).
  • Data quality activities often predate awareness of data governance.

Bridging the Gap

  • Turning Tactical into Strategic:
    • Identify existing data quality activities.
    • Integrate them into a broader data governance framework.
    • Focus data quality efforts on critical data, ensuring the right priorities are set.

Conclusion

  • Encouragement to engage with the video: like, comment, share.
  • Invitation to submit questions for future videos: email to questions@asmd.com.