how-to · evidence-based answer
How do I audit HR data quality?
The short answer
Audit before you analyze: HRIS data was entered for administration, not measurement. Profile the fields your analyses depend on across completeness, validity, consistency across systems, and timeliness; quantify the defect rate instead of discovering it downstream. When two dashboards disagree, the cause is almost always definitional or pipeline drift — an audit makes that explicit and assigns an owner.
The problem underneath
Every analytics ambition sits on HRIS data that was entered for administration, not measurement; without an explicit data-quality audit — completeness, validity, consistency, timeliness — models inherit silent defects and dashboards disagree.
The evidence
- Citation-grade findings on measurement gaps in HR analytics
- The peer-reviewed corpus of evidence-based practice
- Eight research arcs spanning behavioral science → analytics craft
- The AI × people-analytics capability encyclopedia
- 40+ citation-grade insight cards
Every claim on this site traces to a graded source — see the proof graph.
Go deeper
Related questions
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