Data Quality
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May 1, 2024
Updated May 9, 2025
22 minute read
Data quality refers to the overall utility of a dataset to serve its specific purpose. It's a measure of data's accuracy, completeness, consistency, validity, timeliness, and uniqueness. High-quality data is fit for its intended uses in operations, decision-making, and planning. Essentially, data is considered high quality if it accurately reflects the real-world situation it describes. This concept is a critical component of data management, ensuring that information used for analysis and reporting is reliable and trustworthy.
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