What does completeness measure in data quality metrics?
- The accuracy of data compared to a trusted reference source
- The consistency of data across different sources
- The extent to which all required data elements are present
- The timeliness of data updates
Completeness is a data quality metric that measures the extent to which all required data elements are present within a dataset. It evaluates whether all necessary information is available and accounted for, without any missing or omitted values. Complete data sets are essential for making informed decisions and conducting accurate analyses.
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