Clean recurring quality issues with clean projects

Learning outcome

Correct a repeatable data-quality problem with a focused clean project and verify the outcome.

Scenario

You have proved that a recurring formatting or value issue affects a defined population and does not require a mapping redesign. Fixing records one at a time would be slow and difficult to repeat.

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Exercise

  1. Start from a saved search or other clearly scoped population.
  2. Create a clean project containing only the properties needed for the problem.
  3. Generate results and use an appropriate bulk-cleaning technique.
  4. Process the cleaned data using the documented workflow.
  5. Review whether generated or architect-owned rules should prevent recurrence.
  6. Return to the original saved search and verify whether the affected population decreased as expected.

Deliverable

The clean project and an issue-log entry recording scope, transformation, result, verification, and recommendation for future prevention.

Complete when

  • The project fixes a defined problem rather than an arbitrary collection of records.
  • You can explain the snapshot and processing implications of the clean workflow.
  • You verify the result against the original population.

Next

Continue to Resolve duplicates and understand merge decisions.