Title: Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework (The Morgan Kaufmann Series on Business Intelligence) (1st Edition)
Author: Laura Sebastian-Coleman
Publisher: Morgan Kaufmann; 1st edition (June 14, 2013)
Description:
“Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework” by Laura Sebastian-Coleman offers a comprehensive framework for assessing and improving data quality in organizations. Part of The Morgan Kaufmann Series on Business Intelligence, this book provides practical guidance and tools for data professionals to evaluate, monitor, and enhance the quality of their data assets. Sebastian-Coleman introduces a systematic approach to data quality assessment, covering key concepts, methodologies, and best practices. The book explores various dimensions of data quality, including accuracy, completeness, consistency, and timeliness, and offers strategies for identifying and addressing data quality issues. With its emphasis on continuous improvement, the framework outlined in the book helps organizations establish data quality management processes that align with business objectives and drive informed decision-making. Whether you’re a data scientist, data analyst, or data steward, “Measuring Data Quality for Ongoing Improvement” serves as a valuable resource for implementing effective data quality practices and maximizing the value of your data assets.