Coconote
AI notes
AI voice & video notes
Export note
Try for free
Data Governance vs. Data Quality Discussion
Aug 27, 2024
🤓
Take quiz
🃏
Review flashcards
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.
📄
Full transcript