QUALITY
Build an exception queue for certification
Maintain a minimum acceptable standard for certified metadata.🔄 Tasks
Here’s a workflow for assessing and changing a data asset’s certification (e.g. to Certified).
- Retrieve context: Retrieve the entire context of that metadata (e.g. the data asset’s full profile).
- Check completeness: Check the completeness of that context.
- Queue exceptions: If expected or required context is missing, add the asset to an exception queue for human review.
For example, if a data asset is Certified but has no description or owner, ask someone to review whether this is correct. While the asset is being reviewed, you could also remove the certified status.
🎉 Outcome
Maintain a minimum acceptable standard for certified metadata.
Related
QUALITY
Continuous validation of metric calculations
Ensure that calculations are accurate and identify problems.
QUALITY
Automatically assign a freshness status to assets
Avoid accidental reuse of stale assets.
QUALITY
Automated quality control of data pipelines
Avoid propagation and use of poor quality data.