Описание
This innovative work introduces a fresh perspective on data quality management, emphasizing the importance of attributes in assessing and enhancing the quality of data. With a focus on practical applications, the authors dissect the various elements that contribute to robust data systems, guiding readers through the intricacies of evaluating data quality.
The narrative navigates through comprehensive theories and methodologies, offering insights that are beneficial for both seasoned professionals and newcomers in the field. By systematically addressing common pitfalls and challenges, the book serves as a valuable resource for organizations aiming to improve their data practices.
With an emphasis on real-world implications, this book empowers readers to adopt an attribute-based framework, equipping them with the tools necessary to foster high-quality data management strategies. The collaborative efforts of the authors illustrate a commitment to advancing knowledge in this critical area, making it an essential read for anyone invested in the integrity of data.
The narrative navigates through comprehensive theories and methodologies, offering insights that are beneficial for both seasoned professionals and newcomers in the field. By systematically addressing common pitfalls and challenges, the book serves as a valuable resource for organizations aiming to improve their data practices.
With an emphasis on real-world implications, this book empowers readers to adopt an attribute-based framework, equipping them with the tools necessary to foster high-quality data management strategies. The collaborative efforts of the authors illustrate a commitment to advancing knowledge in this critical area, making it an essential read for anyone invested in the integrity of data.
Детали книги
Формат
Мягкая обложка
Страницы
40 страниц
Язык
Английский
Опубликовано
Jul 18, 2023
Издатель
Legare Street Press
Издания
Изданий: 2
ISBN-10
1021507350
ISBN-13
9781021507358