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Home/Blog/How Do You Measure Data Quality? Metrics, Methods & Tools
Data Quality

How Do You Measure Data Quality? Metrics, Methods & Tools

Data quality measurement explained: the six data quality dimensions, how to measure each, data quality scoring methods, profiling tools, and how to build a data quality dashboard.

CDMP Master Academy·26 June 2025·8 min read

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Data Quality Dimension Measurement Methods

DimensionDefinitionMeasurement FormulaExample Target
CompletenessRequired fields are populated(Populated / Required) × 100%>98%
AccuracyValues correctly represent reality(Accurate records / Total records) × 100%>99%
ConsistencyValues consistent across systems(Consistent records / Total records) × 100%>99%
TimelinessData is current when needed% records within required freshness window>95%
ValidityValues conform to rules and formats(Valid records / Total records) × 100%>99%
UniquenessNo duplicate records100% - (Duplicates / Total) × 100%>99.5%

CDMP Exam Relevance

Data quality measurement is a core topic in the Data Quality knowledge area (11% of the CDMP exam). Key exam topics include: the six data quality dimensions and their definitions, how to measure each dimension, the role of data profiling in quality measurement, and the use of data quality scorecards and dashboards. Understanding data quality measurement is also important for Data Governance questions about governance KPIs and programme management.

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