Executing Data Quality Projects 2nd Edition

Ten Steps to Quality Data and Trusted Information

Danette McGilvray
Elsevier S&T
ISBN: 978-0128180167
May 2021

Executing Data Quality Projects, 2nd Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. It describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today’s data-dependent organizations. This second edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others.