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The Data Decisions That Should Happen Before Testing

Testing is designed to validate a solution, not to discover every fundamental problem in the source data. When critical data decisions are postponed until test cycles, the program can lose valuable time and create avoidable rework.

What testing can expose

Test cycles can reveal invalid values, missing relationships, incorrect mappings, duplicate entities, and process-specific data issues. Some discovery is inevitable, but fundamental data uncertainty should be reduced before testing becomes the primary detection mechanism.

The decisions to make earlier

Organizations should understand critical data objects, quality thresholds, transformation rules, ownership, exception handling, and validation criteria before major test cycles. These decisions provide a stable basis for preparing test data and interpreting results.

Use testing as validation

When data readiness is established earlier, testing can focus on whether the target solution and transformed data work together as intended. That creates a clearer distinction between data remediation and solution validation.

Axiums perspective

Better preparation does not eliminate data issues from testing. It changes the nature of what testing discovers—from basic data uncertainty to meaningful business validation.

Key takeaways
  • Establish data rules before major test cycles.
  • Separate source remediation from solution defects.
  • Use test results to refine, not define, data readiness.
  • Give business users clear validation criteria.