Data quality monitoring is a critical aspect of managing data assets, ensuring that the information used within an organization is accurate, reliable, and fit for purpose.
It involves continuous assessment and validation of data against predefined standards, identifying discrepancies, and taking corrective actions to maintain data integrity. At its core, data quality monitoring revolves around several key dimensions: accuracy, completeness, consistency, timeliness, and relevance. Accuracy ensures that the data reflects real-world […]
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