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Glossary term

What is Quality Metrics (Data Quality Metrics)?

Definition

Data quality metrics measure the accuracy, completeness, timeliness, and consistency of product data across systems. These KPIs help organisations identify gaps, errors, and improvements in their product information lifecycle. PIM platforms track and score these metrics to ensure ongoing data excellence.

Each metric needs a documented rule, population, and measurement time. For example, an autonomous product data operation could take a supplier batch assessed against lighting requirements, calculate completeness and validation-failure rates separately, and report the counts and rules behind the metrics.

Quality Metrics (Data Quality Metrics) in an autonomous operation

  1. Step 1:

    Input

    A supplier batch assessed against lighting requirements

  2. Step 2:

    Quality Metrics (Data Quality Metrics)

    Calculate completeness and validation-failure rates separately

  3. Step 3:

    Outcome

    Report the counts and rules behind the metrics

Each metric needs a documented rule, population, and measurement time.