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Executing Data Quality Projects: Ten Steps To Quality Data And Trusted Information (Tm),New
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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
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the page count of this book? A: This book contains three hundred fifty-two pages. It provides a comprehensive guide to improving data quality within organizations.
- Q: What are the dimensions of this book? A: The dimensions of this book are eight point four inches in length, zero point nine one inches in width, and ten point eight inches in height. This size makes it easy to handle and store.
- Q: What type of binding does this book have? A: This book is available in paperback binding. This makes it lightweight and flexible for easy reading.
- Q: How do I implement the steps in this book? A: You can implement the steps by following the Ten Step approach outlined in the book. Each step includes templates and practical advice for execution.
- Q: Is this book suitable for beginners in data quality? A: Yes, this book is suitable for beginners. It offers a systematic approach that is easy to understand for those new to data quality projects.
- Q: Can I use this book for training workshops? A: Yes, this book is ideal for training workshops. It includes numerous templates and examples to facilitate discussions and learning.
- Q: How do I keep this book in good condition? A: To keep this book in good condition, store it in a dry place and avoid exposing it to direct sunlight. Handle it carefully to prevent wear and tear.
- Q: Is this book safe for children? A: Yes, this book is safe for children. It contains educational content about data quality that can benefit young learners.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact customer support for assistance with returns or exchanges. They will guide you through the process.
- Q: Are there any online resources that accompany this book? A: Yes, there is a companion website that includes links to various data quality resources. It features templates and summaries of key ideas from the book.
- Q: Does this book include practical examples? A: Yes, the book includes numerous detailed examples. These examples illustrate the application of the Ten Steps approach in real-world scenarios.
- Q: Who is the author of this book? A: The author of this book is Danette McGilvray. She is an expert in data quality and has trained numerous professionals across various industries.
- Q: Is this book part of a series? A: No, this book is not part of a series. It stands alone as a comprehensive guide to data quality projects.
- Q: What type of organizations can benefit from this book? A: All types of organizations can benefit from this book. It applies to various industries and business sizes looking to improve data quality.
- Q: How long will it take to read this book? A: The time to read this book depends on your reading speed, but on average, it may take around six to eight hours to complete.