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Which Comes First: Data Quality or Data Governance?

Published by Soda

The document explores the critical relationship between data quality and data governance, emphasizing their interconnected nature in effective data management. It highlights how governance frameworks provide the structure needed for consistent data quality improvements, addressing challenges such as silos, duplication, and inefficiencies. Practical strategies are offered for integrating governance and quality practices to align with organizational goals, improve decision-making, and foster innovation. The guide underscores the necessity of combining these disciplines to ensure reliable, actionable data that supports scalable growth, risk management, and compliance in today’s data-driven landscape.

 

 

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