Data Quality
Requirement to ensure data used in systems meets defined quality standards for accuracy, completeness, and consistency.
What Counts
- Data validation rules at ingestion
- Automated quality checks in pipelines
- Regular data audits and profiling
- Documented quality metrics and thresholds
What Does Not Count
- One-time manual spot checks
- Quality standards without enforcement mechanisms
- Aspirational quality goals without measurement
Implementing Frameworks
| Framework | Scope | Status | Provisions |
|---|---|---|---|
| ISO 27001 | International | active | 1 |