Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its challenges. The book introduces new and experienced DQ practitioners with the understanding they need to communicate with stakeholders in a consistent manner. Sections cover practical techniques for getting value from activities such as data profiling, DQ monitoring and DQ reporting. The book extends these ideas to the management of data quality within "big data" environments. It will appeal to data quality and data management professionals, especially those involved with data governance, across a wide range of industries, and in academia and government organizations.
Users will find this to be a key reference for graduate students in computer science programs which normally have a limited focus on the data itself and where data quality management is an often-overlooked aspect of data management courses.