Meeting the Challenges of Data Quality Management

Meeting the Challenges of Data Quality Management discusses the foundational concepts of data quality management and its challenges, and how organizations can get more value from their data by addressing these challenges. It covers core data quality management capabilities and introduces practical techniques for leveraging data and organizational capabilities to drive value and gain competitive advantage.

Format: Paperback / softback
Length: 352 pages
Publication date: 28 January 2022
Publisher: Elsevier Science Publishing Co Inc

Meeting the Challenges of Data Quality Management delves into the fundamental principles of data quality management and the diverse challenges it presents. By providing a comprehensive framework, the book empowers data management professionals to assist their organizations in extracting maximum value from their data. These challenges encompass the meaning challenge, which involves understanding how data accurately reflects reality; the process/quality challenge, which entails designing high-quality data by incorporating best practices; the people challenge, which emphasizes the importance of data literacy within organizations; the technical challenge, which focuses on enabling seamless access and utilization of organizational data while ensuring its protection; and the accountability challenge, which emphasizes the need for organizational leadership to treat data as a valuable asset.

Organizations that fail to address these challenges risk obtaining less value from their data compared to those that proactively address them. The book offers a comprehensive description of core data quality management capabilities and introduces both novice and seasoned data quality practitioners to practical techniques for maximizing the value derived from activities such as data profiling, monitoring, and reporting. These techniques are extended to the management of data quality in big data environments, catering to a wide range of industries, academic institutions, and government organizations.

The target audience of this book encompasses data quality and data management professionals, particularly those involved in data governance across various industries. It also appeals to individuals at higher levels of organizations, including chief data officers, data strategists, and analytics leaders, as well as professionals from different departments such as finance, operations, and IT, who seek to leverage their data and organizational capabilities to drive value and gain a competitive edge.

As a valuable reference for graduate students in computer science programs, this book provides a comprehensive overview of data quality management and its applications. It serves as a crucial resource for those seeking to expand their knowledge and expertise in this field.

Weight: 726g
Dimension: 191 x 231 x 21 (mm)
ISBN-13: 9780128217375