Executing Data Quality Projects

"If you and your organization want to go beyond just talking about data as one of your most valuable assets, Danette lays out clearly how to begin treating data like one—offering the most robust, comprehensive approach to data quality found anywhere. Her years of expertise pack this book with a practical, structured methodology and necessary guidance to help any organization achieve the level of data quality necessary to thrive in the Information Age." --Douglas B. Laney, data and analytics strategist and author of Infonomics: How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage "The need for high-quality data has never been greater! Managers need to guide their organizations, employees need to do their work, and we all need to take care of our families. All much harder in the face of a global pandemic and its consequences. Data could be our best, most powerful weapon. McGilvray’s Ten Steps is a proven guide to help attack the underlying issues. I’ve been a big fan, for a long-time, of the first edition of Executing Data Quality Projects. The second edition features terrific updates to help people and teams tackle the really important problems." --Tom Redman, the Data Doc, Data Quality Solutions "Great books do not sit on your shelf, pristine and beautiful, without so much as a crease in them. The best books occupy precious desk space, dog-eared and highlighted. By this standard, Danette McGilvray's book, Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™, will be absolutely ravaged, and never more than arms-length away. The power of the content and techniques she has brought into one volume is a testament to the book itself: by applying the principles covered inside, the author has assembled a collection of knowledge and tools to help readers at every point in their data quality journey. This is not a book you will read once and put on a shelf -- this will be a faithful companion guiding you daily." --Anthony J. Algmin, Founder, Algmin Data Leadership "Within my field of expertise, computer security, I hadn't had much exposure to the concept of "Data Quality." Now that I've been introduced to it, however, I am convinced that data quality is essential to computer security and that security professionals will never successfully defend systems until they incorporate it into their practice. To get started, I recommend reading McGilvray's book Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™. I literally tell people that this book changed my (professional) life. Not only did it do a great job of teaching core data quality concepts in a way that even a newbie like myself could understand, digest, and apply, but the Ten Steps themselves, the real meat of the book, are amazingly actionable. The overwhelming emphasis on practicality and contextualization creates a framework that can be used in almost every possible environment to improve an organization’s data quality." --Seth James Nielson, PhD, Founder and Chief Scientist, Crimson Vista, Inc