Glossary term
What is Data Quality Metrics?
Definition
Data quality metrics measure completeness, accuracy, consistency, timeliness, and validity of product information. These indicators highlight gaps and guide optimisation efforts. PIM uses them to maintain catalog health.
Metrics require explicit definitions and denominators to make comparisons meaningful. For example, an autonomous product data operation could take a batch of 500 lighting records, measure required-attribute coverage and validation failures, and report each metric against the applicable category requirements.
Data Quality Metrics in an autonomous operation
- Step 1:
Input
A batch of 500 lighting records
- Step 2:
Data Quality Metrics
Measure required-attribute coverage and validation failures
- Step 3:
Outcome
Report each metric against the applicable category requirements
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