Data auditing is the process of systematically reviewing and evaluating data to ensure its accuracy, completeness, and consistency. This practice is crucial in identifying errors, discrepancies, or anomalies within datasets, which can significantly impact data-driven decision-making. Effective data auditing involves not only checking for errors but also assessing the quality of the data collection methods and preprocessing techniques used.
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