Improving Data Warehouse and Business Information Quality : Methods for Reducing Costs and Increasing Profits Paperback – 11 Mar 1999
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"...This is a readable, practical, entertaining, multi-purpose book...This book is full of good ideas and good value for money...." -- The Computer Bulletin
"...This is a readable, practical, entertaining, multi-purpose book...full of good ideas and good value for money..." -- The Computer Bulletin May 2000
...very lively reading. This book belongs on the bookshelf of every manager and technician. -- Bill Inmon, "Father of Data Warehousing", Pine Cone Systems
The Information Quality Bible for the Information Age! -- Masaaki Imai, Founder, Kaizen Institute and Bud H. Cox, Managing Director, Kaizen Institute of Japan
From the Author
Who should ready and why; Author's Warranty; & Endorsements
Who Should Read This Book "This book is not for everyone. It is for people who care about their customers and their information customers. This book is for people who do not like to see people and money resources wasted on information scrap and rework when they could be doing things that add value. This book is for people who seriously want to see shareholder value increase on a long-term basis, not merely from quarterly statement to quarterly statement. "You are a candidate to receive value from this book if:
- You recognize that information is an important business resource and you want to maximize its value.
- You care about your customers, both internal and external, and desire to maintain accurate information about them and for them.
- You are fed up with the high costs of low-quality information and the resulting problems, and are asking, 'is there a better way?'" (page xvii-xviii.)
Why You Should Read This Book "In the Harvard Business Review, Schaffe and Thompson cite a survey showing 63 percent of companies that had embarked on TQM-based programs had failed to improve quality defects in products by even as little as 10 percent. This book aims to help you understand how to avoid the pitfalls when conducting information quality improvements and when implementing an effective information quality environment. "The Gartner Group states that most reengineering initiatives will fail because of lack of attention to information quality. Experience is revealing that more than half of data warehouses built fail to meet expectations because of poor information quality. This book seeks to help you be successful in all information-related projects by addressing and solving the real problems and causes of poor quality information. (page xix.)
Author's Warranty "If you are not able to apply ideas contained in this book to achieve value to your organization worth multiple times the cost of the book, I will personally refund to you the purchase price you paid for this book. Simply contact me at Larry.English@infoimpact.com for refund instructions as to where to send the book. All I ask is for you to give me a copy of your sales receipt along with a statement of what you tried that did not work, along with your assessment of why it failed to result in value. No further questions asked." (page xxvi.)
Early Reviews for Improving Data Warehouse and Business Information Quality
- "The Information Quality Bible for the Information Age!
- "Practical and useful this book has it all in one package; 'concept book, textbook, reference book, practitioner's guide.'
- "English's sense of humor is reflected throughout. The rewards from the implementation of his methods should be as enjoyable as the reading"
Masaaki Imai, Founder, Kaizen Institute, Bud H. Cox, Managing Director, Kaizen Institute of Japan (Kaizen is a Japanese word that connotes "continuous improvement involving everyone in the organization")
"Very lively reading. The book belongs on the bookshelf of every manager and technician." Bill Inmon, Pine Cone Systems, "Father of Data Warehousing"
"This book is a must for every business bookshelf. Larry English has been on the forefront of the Data Quality issue from the outset [and] has some real wisdom on this vital issue." John Zachman, Zachman International, Creator of the Framework for Enterprise Architecture
"This book is long overdue. As a leading expert on Quality in the world today, Larry English shows the impact that data and information quality directly have on costs and on profitability - not just for data warehouses but also for business information. His examples are clear, and vital for management to read. "This book will maximise your chances for success. No Data Warehousing project and no IT Department should be without it. I predict that it will become the 'Bible' of Quality success." Clive Finkelstein, Information Engineering Services Pty Ltd, "Father of Information Engineering"
"Everywhere we go we see the results of data quality problems. In this book, Larry English not only turns up the heat by discussing the sources and nature of data quality problems, he also sheds real light through a practical approach to addressing data quality improvement. Time spent understanding and applying the principles and tips Larry offers will be well worth the investment." Vaughan Merlyn, Concours Group
"Larry's book is simply brilliant. . . it wrestles with a sometimes elusive but extremely costly business problem in a most clear and pragmatic manner. The book is extremely timely because the Y2k challenge has embarrassingly exposed the world's data quality problem . Armed with yesterday's Y2k tools and Larry's visionary book, an organization can get closer to cleaning up the rest of the enterprise's data. Such an endeavor may mean the difference between business success and business failure." Barbara von Halle, Founder of Knowledge Partners Inc. and editor of "Handbook of Data Management"
"A superior work. A tremendous addition to the field of business intelligence. Pragmatic, experience and reality based, but most important, focused on tangible, measurable benefits to the business." Doug Hackney Enterprise Group Ltd. Data Warehouse and Business Intelligence Expert
Amazon.Com Average Customer Review: ***** Number of Reviews: 6
email@example.com from Austin, Texas , July 21, 1999 *****
Excellent ideas for implementing a data quality program. The book is fantastic. English obviously has plenty of front line experience. He doesn't simply state the problem and offer suggestions. He empowers the reader to join the data quality movements by giving them the tools necessary to convince the decision-makers that data quality is worth the investment. Chapter Seven, "Measuring Nonquality Information Costs," is worth the price of the book alone, because it gives us a solid ROI model to throw at the bean counters. The writing style is extremely accessible. The book is so well organized that it can be read straight through or employed as a reference.
Diana C. Young (firstname.lastname@example.org) from Lakeville, Massachusetts, July 14, 1999 *****
Ultimate guide to effectively improve information quality. Tackling the issue of information quality is undoubtedly one of the most significant challenges of businesses today. Larry's book provides clear, concise guidance on how to recognize information quality issues and determine and quantify their true business impact. He also outlines a common sense approach on how to effectively improve the integrity of business information and recognize the return on investment in sound quality improvement initiatives. As a consultant specializing in Information Stewardship and Quality, I find this book my most valued reference. From a professional standpoint, I have to borrow the motto of American Express Credit Card Company, I "Don't leave home without it!"
A reader from Melbourne, Australia , May 23, 1999 *****
The must book for any information quality practitioner. This book is the most comprehensive book on information quality and should be used as a reference by all information quality practitioners. It provides a theoretical foundation and practical advice on many aspects of Information Quality Management. I read it with a pencil and colour stickers in my hands and before long all book was covered with red, yellow and green stickers. There are so many important points in the book, that my advice to all readers is to read it not just once, but many times and refer to it in your everyday information quality management practice.
Michael J.D. Sutton, Director, Business Process & Document Management Solutions, CBSI, Email: email@example.com from Ottawa, Canada , May 4, 1999 *****
Clear writing about a subject area that begs obfuscation. It was refreshing to find an author who could write so clearly about a subject area that begs obfuscation. I have been most impressed by your first principles; as well as the structure and flow of the book. I appreciate the labour of love you have put into your authoritative text, and relish the fact that someone would take the time to help the rest of us focus on this important and very significant discipline. -- from the Author of Document Management for the Enterprise: Principles, Techniques, and Applications, John Wiley & Sons, NY, 1996.
A reader from firstname.lastname@example.org , April 14, 1999 *****
Great book, wrong title As an Banking and Business Intelligence consultant, I bought this great book hoping to discover some kind of integration methods or guidelines. This book provides much more than that, it's a detailed method to structure your IS around Information Quality. The author provide countless of methods, tools and analysis to build a total quality information architecture, content and system A must read if you want to understand and gain the true productivity of informatiSee all Product Description
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Top Customer Reviews
As we enter the age of eBusiness,companies can no longer hide their information quality problems from their customers. Successful eBusiness companies will be those who recognise and manage information as their key strategic asset.
This book is essential reading for all who are serious about profitable survival in the information age. Larry writes as he speaks - with knowledge, conviction and pragmatism. This book should be read by all who are concerned about information, whether senior corporate executives, business information managers or IT specialists.
The book is full of practical answers to problems and is of great value whether you are leading a major cross-enterprise information improvement drive or trying to enhance quality within a specific data warehouse or system.
Most Helpful Customer Reviews on Amazon.com (beta)
The big question is "what is quality"? Specifically, "what is information quality"? Answers to these basic questions are given early in the book, and sets the tone for what follows. The foundation of data quality is carefully built by how the author applies quality principles to information, which segues into a chapter on improving information quality. It quickly becomes obvious that Mr. English is a Deming fan - although I am more in the Juran camp, I like the way that the author places data and information quality into a recognizable framework.
Things get interesting in the chapters on assessing data and information quality. The two chapters devoted to this subject are strengthened by the chapter on measuring the costs of non quality. This is a great foundation for a business case for data and information quality improvement, which can be expensive.
The rest of the book is a step-by-step approach to getting data quality under control using data reengineering and cleansing; proactive measures for data defect prevention, and how to establish an information quality environment.
Although I found every chapter to be both informative and thought provoking, I particularly liked the concept of information stewardship (this goes far in aligning IT and business, and places roles and responsibilities where they belong), and the chapter on implementing a quality improvement environment. This is especially valuable because it clearly outlines the critical success factors and steps needed to get there.
Who should read this book? Obviously DBAs, data architects and anyone else responsible for designing and implementing data warehouses. It should also be read by key business process owners because they, after all, own the data (or should) and depend on it as the basis for information. In fact, Mr. English's approach and writing make this book highly accessible to non-technical readers, which is probably the book's most valuable aspect. I personally believe that this book is the best on the subject and strongly recommend it.
I would have liked more specific methods of detecting low quality in the section on information quality assessment. The final third of the book, on establishing the information quality environment, provides good direction, but seems too optimistic. How does a single database analyst change a corporate culture and how does a small warehouse group influence the quality processes of hundreds of diverse data sources? This is a good, thought-provoking book.
I liked the organization and writing style of this well-referenced text. I found the diagrams and tables very helpful.
In the introduction, the author states that the text is a "concept book, a textbook, a reference book, and a practitioner's guide." At first I didn't believe it. Now that I've finished the text, I believe every word.
When I read the "Author's Warranty" (and how many books do you know come with a warranty?), I had an inkling that this would be a good book.
I was wrong. This is a GREAT book!
Unfortunately, the book is so boring that it is doubtful that it will actually get read by many people outside the data administration community.
The problems with the book are many. It is the most repetitious book I ever read. The author should learn about tautologies because they constantly appear in the book. Also, there are too many bulleted lists, step-by-step programs, and diagrams that may be okay for a spoken presentation but make for distracting and dull reading. Finally, there are many "do an effective...." and "conduct a thorough..." type of statements. The author should just say what a thorough or effective (or the like) practice is.
One more aspect of this book is really bothersome. It is titled as if it is a data warehousing book. But references to data warehouses seem to appear as afterthoughts. Most of the book is relevant to designers of transaction processing systems. And the author never lets us in as to why, if we follow the principles in the book, we need a data warehouse.
Finally, this book mostly discusses structured information. At this time when information technology professionals are "discovering" that most information used is unstructured, the author's orientation is shortsighted.
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