Data Quality Dimensions

Data Quality Dimensions are the various attributes used to evaluate data quality, such as validity, timeliness, accuracy, completeness, consistency, and relevance to ensure the data’s overall integrity and usefulness.

SHARE

Related Links

AI-based credit scoring is revolutionizing the financial industry by providing more accurate, efficient, and inclusive credit…

The pandemic accelerated the decline in print newspaper circulation and news consumption across digital platforms. The…

Scroll to Top