Information Quality Applied: Best Practices for Improving Business Information, Processes and Systems 1st Edition
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Larry P. English
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How to apply data quality management techniques to marketing, sales, and other specific business units
Author and information quality management expert Larry English returns with a sequel to his much-acclaimed book, Improving Data Warehouse and Business Information Quality. In this new book he takes a hands-on approach, showing how to apply the concepts outlined in the first book to specific business areas like marketing, sales, finance, and human resources.
The book presents real-world scenarios so you can see how to meld data quality concepts to specific business areas such as supply chain management, product and service development, customer care, and others. Step-by-step instruction, practical techniques, and helpful templates from the author help you immediately apply best practices and start modeling your own quality initiatives.
- Maintaining the quality and accuracy of business data is crucial; database managers are in need of specific guidance for data quality management in all key business areas
- Information Quality Applied offers IT, database, and business managers step-by-step instruction in setting up methodical and effective procedures
- The book provides specifics if you have to manage data quality in marketing, sales, customer care, supply chain management, product and service management, human resources, or finance
- The author includes templates that readers can put to immedate use for modeling their own quality initiatives
- A Companion Web site provides templates, updates to the book, and links to related sites
Editorial Reviews
From the Back Cover
122 organizations lost a total of $1.2 trillion in process failure and waste caused by poor quality Information. Learn how your organization can avoid the same fate.
Business Excellence is not a myth! It is a state of World-Class Performance that can be achieved by applying Quality Management Principles to: Manufacturing, Service Delivery, and Information Quality.
In the Information Age, organizations cannot operate effectively without Quality Information. Manufacturers don't count products in the warehouse to know inventory levelsthey look at the Inventory Information. Banks don't count currency to tell you your balancethey provide you Account "Information." Errors in Information cause Processes to fail.
World Class Business Performance requires designing Quality into Information Processes to capture and deliver accurate, timely, and unbiased Information to Knowledge Workers who perform the Enterprise's Value Work. This concept may sound mythical, but The TIQM Quality System proves otherwise.
English's first book, Improving Data Warehouse and Business Information Quality, was called "The Information Quality Bible for the Information Age," by Masaaki Imai, the creator of the Kaizen® Quality System. It was translated into Japanese by the first Information Services organization to win the Deming Prize for Quality.
English takes his initial writing of the core concepts of proven Quality Management Principles and shows you how to apply those Principles to Information in specific core Processes (Value Circles):
- Customer Care
- Product Development
- Supply Chain Management
- Financial and Risk Management
- Internet and e-Business
- Document and Knowledge Management
- Information Management and Information Systems Engineering
He guides you, step-by-step, through the TIQM Processes, along with templates that you can use to drive your organization's IQ initiatives. He helps you measure IQ and identify and eliminate the Root Causes of poor quality Information.
Best Practices are included throughout the book. You learn how to establish a culture for effective and sustainable IQ Management as a Business Management Tool involving everyone in the Enterprise.
About the Author
LARRY P. ENGLISH, President and Principal of Information Impact International, is one of the most highly respected authorities in the world on how to apply Quality Management Principles to Total Information Quality Management. He has provided consulting and education in more than 40 countries on six continents.
English was featured as one of the "21 Voices for the 21st Century" in the American Society for Quality's journal Quality Progress in January 2000.
Heartbeat of America, hosted by William Shatner, awarded English the "Keeping America Strong Award" in December 2008, honoring his work in helping organizations eliminate the high costs of business process failure caused by poor quality Information.
English was honored by the MIT Information Quality Program for a Decade of Outstanding Contributions to the field of Information Quality Management in July 2009.
Mr. English has been called:
Product details
- Publisher : Wiley; 1st edition (October 12, 2009)
- Language : English
- Hardcover : 840 pages
- ISBN-10 : 047013447X
- ISBN-13 : 978-0470134474
- Item Weight : 3.17 pounds
- Dimensions : 7.6 x 2.05 x 9.55 inches
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Best Sellers Rank:
#3,066,457 in Books (See Top 100 in Books)
- #2,399 in Database Storage & Design
- #7,988 in Databases & Big Data
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Larry begins his book by giving numerous examples of companies and government agencies wasting 20% to 40% of their revenue or budget on bad information. Even if a large organization only spends 10% of its expenses on bad information, they could move tens of millions to billions of dollars to their bottom line by simply applying the principals in Larry's new comprehensive book.
This book is a must read for senior management throughout most of the workforce. It has the level of detail required for each reader to do their part to substantially reduce their operation's costs.
First, I don't think ol' Larry really needed 802 pages to cover this subject. I'm fairly certain ~ 400 pages would do it.
Secondly, Larry has chosen to depart from industry standard terms. For example, rather than using the term 'metadata' Larry manufactures his very own TLA (three letter acronym): Information Product Specification. 'Conceptual model' becomes high level business information model. 'Logical model' becomes operational information model. 'Physical model' becomes operational database design. It's painful! It's as if Larry thinks he's a modern day JRR Tolkein and he needs to create his own elvin language.
Third, anyone that knows anything about data quality knows it's a business capability that is highly interrelated to other business capabilities: metadata management, governance, data integration, and master data management all come to mind. The DAMA DMBOK wheel (particularly the new DMBOK variant expected to be published in 2015) provides needed context that this book sorely lacks. Lacking that context, ol' Larry does a crappy job distinguishing the relavent capability from what is CTQ (critical to quality). In other words, think of a world-class governance solution involving a complex combination of P,P,T,I (People, Process, Technology, and Information) from those particularly interesting things within governance that are truly CTQ for data quality.
I give Larry an A for effort, a B for capturing the underlying concepts and a D for writing style.
Chapter 6 of the book is of anthology. Highly recommended.
With that warning, reading this book will have you saying "yes I've heard this before, but this is how to turn theory into practice. It provides more a siple tour of how and why information quality is important. If it had come from a consortium it would be call a IQ_BOK as it is a comprehensive treatment on how to actually do something.
I would list the chapters and go into ore depth, but I feel the book stands on itsown.. Well done Prof English
Whether your objectives are to reduce costs, better understand your current systems and processes, or have a bigger impact on your product sales and customer satisfaction, this book is a must. What is the point of being in business if you can not control your outcome? I consider this book to be the single source for systematically addressing all types of business related data issues across any industry that will improve data collection and analysis.
Sunil Gupta
Senior SAS Consultant and Global Corporate Trainer
Gupta Programming

