Meeting The Challenges Of Data Quality Management

Synopsis : Meeting the Challenges of Data Quality Management written by Laura Sebastian-Coleman, published by Academic Press which was released on 15 February 2022. Download Meeting the Challenges of Data Quality Management Books now! Available in PDF, EPUB, Mobi Format. 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. Outlines a set of challenges that are inherent in the process of managing the quality of data, including the rapid evolution of technology and the effort of organizations to take advantage of technological change Investigates approaches to meeting the challenges that get in the way of data quality management and enables professionals to build out the components that contribute to a successful data quality management program Combines a discussion of fundamentals with their practical application which should enable university students to see the direct connection between theory and practice Includes appendices that feature DQ maturity models as well as the Data Profiling Analysis Template (DATA PAT) for capturing results from executing data profiling