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Data & Analytics · Foundational

Data Completeness

The data quality dimension measuring whether all required data values and records are present.

Definition

Completeness is measured as the percentage of non-null required fields or of expected records received. Missing data can be handled by fixing it at the source, imputation or exclusion, depending on the mechanism (MCAR, MAR or MNAR).

Exam tip

Know the missing-data mechanisms: MCAR, MAR and MNAR.

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