Data Quality: How to Assess and Address Quality Issues
Data quality represents the actual condition of the datasets, which is based on many factors. These factors or metrics can be accuracy, completeness, consistency, reliability, and validity. Measuring it can be a delightful experience for organizations because it filters out errors and inconsistencies in their databases. Also, this assessment guides you to determine if the hygienic data fits your goals or purposes.
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https://www.newportpaperhouse.....com/2024/04/data-qua