Data Quality Rules
Data Quality Rules are a set of guidelines and constraints that ensure the accuracy, completeness, consistency, and validity of data. These rules are applied to data at various stages of its lifecycle, including data entry, processing, storage, and retrieval. Data Quality Rules help organizations to maintain high-quality data that is fit for its intended purpose and can be relied upon for decision-making. These rules can be defined based on various criteria, such as business requirements, industry standards, regulatory compliance, and data governance policies. Data Quality Rules can be automated using Data Quality Tools that can detect and flag data quality issues in real-time, enabling organizations to take corrective actions promptly.
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