Technical GlossaryData Science and Data Management

Completeness

A data quality dimension describing how fully expected fields, records, or business scope are present in a dataset.

Completeness is one of the core dimensions of data quality and asks how much of the expected information is actually present. It includes not only missing rows, but also field-level gaps, missing time intervals, and insufficient business coverage. Incomplete coverage can silently distort analytical conclusions. For that reason, completeness should be evaluated not only as a technical fill rate, but also in terms of how well the data represents real business processes.