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This technique enables you to identify and address data quality issues as they occur, rather than waiting for periodic data audits or reviews.

Otherwise, it can lead to bad data, wasted resources, and poor business decisions. A data quality framework gives you a repeatable set of processes, standards, and tools to systematically improve data’s accuracy, completeness, and consistency In an era of real‑time analytics and genai, that reliability is the difference between competitive insights and costly misfires The cost of poor data quality