SRS-Template
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Data quality is unclear
It is unclear whether data quality refers to any data vs data owned by the system
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).