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Data quality is the cornerstone of effective data management, ensuring that the information used for decision-making is accurate, reliable, and consistent. By implementing data cleansing, standardization, and enrichment processes, organizations can enhance the quality of their data, leading to improved operational efficiency and better outcomes. Data quality initiatives focus on identifying and rectifying errors, inconsistencies, and duplicates within datasets to provide a solid foundation for analysis and reporting.
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