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Data Quality Management and Technology
Addresses technical and managerial strategies to give managers of data resources a problem-solving methodology for detecting and correcting the root causes of poor quality data and making improvements to the quality of processes that produce data. Annotation copyright Book News, Inc. Portland, Or.
308 pages, Hardcover
First published October 20, 1992
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May 23, 2023
In today's data-driven world, ensuring the accuracy, consistency, and reliability of data is of utmost importance. This book provides valuable insights into the technology and strategies employed in data quality management. For anyone interested in this topic, I'd like to also recommend this article https://macsources.com/maximizing-dat.... It explores the significance of data annotation in enhancing data quality and optimizing the performance of AI models. It offers practical insights and strategies for maximizing the efficiency of data annotation processes, which is crucial for obtaining reliable and high-quality data.
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