Описание
Organizations are increasingly challenged by the abundance of data they collect, which can come from numerous sources and formats. This book delves into the concept of information quality, exploring how businesses can ensure the reliability and usability of the data they handle. Through a thorough examination of various perspectives, it highlights the essential standards and practices necessary for maintaining data integrity.
The authors draw on their significant expertise to address the consequences of poor information quality, emphasizing its implications on decision-making processes within organizations. Readers will gain insights into strategies for assessing data quality and the pivotal role it plays in achieving overall organizational effectiveness.
With practical frameworks and real-world examples, this work serves as a comprehensive resource for professionals aiming to improve their data management practices. By fostering a deeper understanding of information quality, organizations can harness the power of their data more effectively, paving the way for better outcomes and enhanced performance.
The authors draw on their significant expertise to address the consequences of poor information quality, emphasizing its implications on decision-making processes within organizations. Readers will gain insights into strategies for assessing data quality and the pivotal role it plays in achieving overall organizational effectiveness.
With practical frameworks and real-world examples, this work serves as a comprehensive resource for professionals aiming to improve their data management practices. By fostering a deeper understanding of information quality, organizations can harness the power of their data more effectively, paving the way for better outcomes and enhanced performance.
Детали книги
Формат
Kindle
Страницы
280 страниц
Язык
Английский
Опубликовано
дек 18, 2014
Издатель
Routledge
Издания
Изданий: 3
ISBN-10
1317467973
ISBN-13
9781317467977