Overview
Data Quality refers to the state of qualitative or quantitative pieces of information. High-quality data is 'fit for its intended uses in operations, decision making and planning'.
Dimensions of Data Quality
- Accuracy: Correctness of the data.
- Completeness: All required data is present.
- Consistency: Data matches across different systems.
- Timeliness: Data is up to date.
- Validity: Data follows defined rules and formats.
- Uniqueness: No duplicate records.