1 min read · Feb 2026

Data Consistency

Data consistency refers to the property of data being uniform and non-contradictory across different systems, reports, and time periods that reference the same underlying reality. Inconsistent data manifests as different figures for the same metric appearing in different reports, totals that do not reconcile between systems, or historical data that changes unexpectedly. Data consistency is a prerequisite for reliable management reporting: when decision-makers cannot trust that the same number means the same thing across different reports, they lose confidence in the data and the reporting system.

Why This Matters

Data inconsistency is one of the most destructive forces in a reporting environment — not because it produces obviously wrong answers, but because it produces subtly different answers in different places. When the same question receives different answers depending on which report or system is consulted, the organisation cannot operate with a shared understanding of its performance. Resolving inconsistencies forces time-consuming reconciliation efforts and erodes trust in reporting far beyond the specific inconsistencies that have been discovered.

Where This Fits

This term sits within the Data Governance & AI Readiness area of Performance & Control.

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