Toward Quality Data: An Attribute-Based Approach

This influential work delves into the intricate landscape of data quality through an attribute-based lens. Richard Y. Wang addresses the vital need for accurate and reliable data in decision-making processes, emphasizing that the attributes of data are crucial to understanding its overall quality. The book is tailored for scholars and practitioners alike, providing a comprehensive framework for assessing data quality, which is increasingly recognized as a cornerstone for effective management and strategic initiatives.

Wang draws on a blend of theoretical insights and practical applications, making the content accessible and relevant. The discourse balances academic rigor with real-world implications, reflecting on how organizations can harness high-quality data to enhance performance and innovation. Through thought-provoking analysis and engaging narratives, this work serves as a significant contribution to the ongoing conversation about the importance of data integrity in the modern landscape.