Capstone operating loop and readiness checklist

Learning outcome

Resolve one realistic data-quality scenario end to end using evidence, deliberate tool selection, verification, and escalation where necessary.

Scenario

Choose one realistic problem: a rising tagged quality issue, missing required values, suspicious duplicates after a new source, or a recurring pattern that returns after manual correction.

Read

Review the documentation relevant to the path you expect to use:

• Search
• Validations
• Manage a clean project
• Deduplicate data
• Tag monitoring

Exercise

1. Define the affected population.
2. Inspect representative records and lifecycle evidence.
3. Determine the likely issue level and owner.
4. Choose the lightest correct remediation path.
5. Perform or simulate the remediation in a safe environment.
6. Return to the original population and verify the result.
7. Record any prevention, monitoring, downstream, or architecture follow-up.

Deliverable

A completed issue log and a short after-action review describing symptom, scope, evidence, decision, action, verification, and follow-up.

Complete when

• You can justify why you chose one remediation path over the alternatives.
• Verification uses the same observable population that established the problem.
• You distinguish operational remediation from structural escalation.
• Another steward could repeat your investigation from the evidence you recorded.

Next

You have completed the Data Steward learning path. Return to the Data Steward course overview to review the full path.