Quality Dimensions

Data quality affects the credibility of metrics. Focus on accuracy, completeness, consistency, timeliness, and traceability of data across systems.

Data Cleaning and Reconciliation

Implement processes to detect duplicates, fill gaps, and align records from different sources. Reconcile incident and survey data to provide a coherent picture.

Bias and Validity

Identify potential measurement bias, such as under reporting or survey nonresponse. Apply validation checks and triangulate metrics to improve reliability.