The 6 Dimensions of Data Quality: Definitions, Examples, and How to Monitor Each

The six dimensions of data quality are accuracy, completeness, consistency, timeliness, validity, and uniqueness. Each dimension measures a different aspect of whether data is fit for its intended use. Together they define whether a dataset can be tr...