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Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM),Used
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Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM) presents a systematic, proven approach to improving and creating data and information quality within the enterprise.Recent studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions.This book describes a Ten Step approach that combines a conceptual framework for understanding information quality with the tools, techniques, and instructions for improving and creating information quality. It includes numerous templates, detailed examples, and practical advice for executing every step of the approach. It allows for quick reference with an easytouse format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices.The author's trademarked approach, in which she has trained Fortune 500 clients and hundreds of workshop attendees, applies to all types of data and all types of organizations. Includes numerous templates, detailed examples, and practical advice for executing every step of The Ten Steps approach Allows for quick reference with an easytouse format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices A companion Web site includes links to numerous data quality resources, including many of the planning and informationgathering templates featured in the text, quick summaries of key ideas from The Ten Step methodology, and other tools and information that is available online
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- Q: What is the main focus of 'Executing Data Quality Projects'? A: The book focuses on a systematic approach to improving data and information quality within enterprises, emphasizing a ten-step methodology.
- Q: Who is the author of this book? A: The author of 'Executing Data Quality Projects' is Danette McGilvray.
- Q: What is the publication date of this book? A: The book was published on July 25, 2008.
- Q: How many pages does the book contain? A: The book contains 352 pages.
- Q: Is this book suitable for all types of organizations? A: Yes, the book's methodology applies to all types of data and organizations, making it versatile for various industries.
- Q: Does the book provide practical examples and templates? A: Yes, it includes numerous templates, detailed examples, and practical advice to help execute each step of the ten-step approach.
- Q: What kind of resources are available on the companion website? A: The companion website offers links to data quality resources, planning templates, and quick summaries of key ideas from the ten-step methodology.
- Q: What type of binding does the book have? A: The book is available in paperback binding.
- Q: Is this book intended for beginners or experienced professionals? A: The book is beneficial for both beginners and experienced professionals, as it offers foundational concepts as well as advanced techniques.
- Q: What are the key benefits of following the ten-step approach described in the book? A: The key benefits include improved data quality, reduced inefficiencies, enhanced decision-making, and better credibility among customers and suppliers.