"My esteemed colleague describes a practical approach for planning and managing information quality. I recommend you read, understand, and apply the learnings found here." --Larry P. English, President and Principal, Information Impact International, creator of the TIQM Quality System. Conceiver and co-Founder of the International Association for Information and Data Quality"In a subject that is long on talk and short on practical advice for implementation, Danette McGilvray is a refreshing exception. If you want to know HOW to execute data quality projects, read this book -- everything you need to know is in here." --David Plotkin, Data Quality Manager, California State Automobile Association"This book is a gem. Tested, validated and polished over a distinguished career as a practitioner and consultant, Danette's Ten Steps methodology shines as a unique and much needed contribution to the information quality discipline. This practical and insightful book will quickly become the reference of choice for all those leading or participating in information quality improvement projects. Experienced project managers will use it to update and deepen their knowledge, new ones will use it as a roadmap to quickly become effective. Managers in organizations that have embraced generic improvement methodologies such as six sigma, lean or have developed internal ones would be wise to hand this book to their Black Belts and other improvement leaders." --C. Lwanga Yonke, Information Quality Practitioner."Danettes book takes a pragmatic and practical approach to achieving the desired state of data quality within an organization. It is a "must-read" for any organization starting out on the road to data quality." --Susan Stewart Goubeaux, Director, Business Intelligence, FHLBanks Office of Finance"Data quality" has become one of those hackneyed phrases in our industry that everyone supports, but only a few organizations have achieved to the degree they need to move forward in their industries. What is required is a guide to explain to the business people who want better data just how to get it. This book is just such a guide. While the individual steps should not be a great surprise, her organization makes them immediately actionable to a degree previous books have not. In short, this is definitely required reading for anyone embarking on a data quality project." --David Hay, President, Essential Strategies"Danette has taken what has previously been presented in the abstract and made an excellent, concrete guide toward improving data quality." --John Ladley, President of IMCue Solutions"Using this methodology, you will never lose your way on your data quality project! This book is peppered with tips, guidelines, templates, cross-references, and call-out icons. Plus, there are many easy-to-follow examples for the most common types of data quality projects." --Larissa T. Moss, President, Method Focus Inc."This book presents a valuable reference for not just data professionals, but also project managers and business representatives interested in or responsible for establishing, maintaining, and/or improving data and information quality. What sets this book apart from others in the field is the business impact-driven approach to assessing and improving data quality, and the specific steps and techniques it provides every step of the way." --Mehmet Orun, Senior Manager / Principal Architect, Data Services CoE, Fortune 250 Company"Comprehensive" is the first word I would use to describe this book. It addresses so many nuances of every aspect of data quality assessment and improvement-things that would go unmentioned by more superficial treatments. Bravo!" --Michael Scofield, Manager, Data Asset Development, ESRI, Inc.
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