Data Quality Management for Modern Enterprises

This technical report discusses the critical importance of data quality management in modern enterprises. It outlines how organizations across various industries rely on high-quality data to drive business initiatives and maintain competitive advantages. The report details the challenges posed by fragmented and siloed data systems, which often lead to inaccuracies and inefficiencies. It emphasizes the need for continuous data quality management, moving away from outdated, point-in-time approaches to modern solutions that leverage automation and real-time integration. The document also highlights the financial implications of poor data quality, citing studies that show significant losses attributed to inaccurate data. Furthermore, it presents master data management (MDM) as a strategic approach to unify and cleanse data, thereby enhancing trust and reliability across business operations. The report concludes by advocating for organizations to adopt a holistic data strategy that fosters a culture of data quality and governance to support informed decision-making.