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Data quality is unclear

Open jam01 opened this issue 1 month ago • 1 comments

It is unclear whether data quality refers to any data vs data owned by the system

jam01 avatar Oct 22 '25 05:10 jam01

removing for now:

3.3.6 Data Quality

💬 Expectations for correctness and fitness of data for use.

➥ Define measurable targets for accuracy, completeness, consistency, timeliness, and validity. Specify validation rules, acceptable error rates, freshness SLAs, deduplication/idempotency expectations, and reconciliation processes. Include lineage, provenance, and schema evolution/versioning requirements with backward-compatibility rules.

💡 Tips:

  • Link quality checks to ingestion/processing stages and recovery steps.
  • Define monitoring and reporting for quality metrics (e.g., dashboards, alerts).

jam01 avatar Oct 22 '25 18:10 jam01