Product Description

A comprehensive guide to quality improvement from the leading expert in information and data warehouse quality.

Each year, companies lose millions as a result of inaccurate and missing data in their operational databases. This in turn corrupts data warehouses, causing them to fail. With information quality improvement and control systems, like the ones described in this book, your company can reduce costs and increase profits from quality information assets. Written by an internationally recognized expert in information quality improvement, Improving Data Warehouse and Business Information Quality arms you with a comprehensive set of tools and techniques for ensuring data quality both in source databases and the data warehouse. With the help of best-practices case studies, Larry English fills you in on:
* How and when to measure information quality.
* How to measure the business costs of poor quality information.
* How to select the right information quality tools for your environment.
* How to reengineer and cleanse data to improve the information product before it reaches your data warehouse.
* How to improve the information creation processes at the source.
* How to build quality controls into data warehouse processes.

AUTHORBIO: Larry P. English is the leading international expert in the field of information and data warehouse quality. He is a columnist for Data Management Review and a featured speaker at numerous Data Warehousing Conferences. Larry chairs Information Quality Conferences held around the world.

Product Details

• Amazon Sales Rank: #489106 in Books
• Published on: 1999-03-11
• Original language: English
• Number of items: 1
• Dimensions: 1.15" h x 7.37" w x 9.29" l, 1.77 pounds
• Binding: Paperback
• 544 pages

Amazon.com Review
The premise of Improving Data Warehouse and Business Information Quality is that the quality of information stored in a database is just as measurable as the quality of the cars that come off an assembly line. Furthermore, database managers can take steps to ensure that their databases collect the best possible information.

This is a dense book, loaded with management jargon, statistical analysis, and complicated flow diagrams. You won't succeed in skimming casually through it, and you will probably get more out of the book if you have some experience with quantitative management techniques.

Regardless, this book makes excellent reading for those taking the holistic approach to database design, in which a good database considers where the information comes from, how it is used, and what results come from that use. English covers some methods for extracting information from various sources--through surveys and other methods--before launching into an elaborate discussion of information-quality metrics. --David Wall

From the Back Cover
Methods for Reducing Costs and Increasing Profits.

"The Information Quality Bible for the Information Age!"-Masaaki Imai, Founder, Kaizen Institute and Bud H. Cox, Managing Director, Kaizen Institute of Japan.

". . . Very lively reading. The book belongs on the bookshelf of every manager and technician."-Bill Inmon, "Father of Data Warehousing," Pine Cone Systems.

Each year, companies lose millions as a result of inaccurate and missing data in their operational databases. This in turn corrupts data warehouses, causing them to fail. With information quality improvement and control systems, like the ones described in this book, your company can reduce costs and increase profits from quality information assets. Written by an internationally recognized expert in information quality improvement, Improving Data Warehouse and Business Information Quality arms you with a comprehensive set of tools and techniques for ensuring information quality both in source databases and the data warehouse.

Each year, companies lose millions as a result of inaccurate and missing data in their operational databases. This in turn corrupts data warehouses, causing them to fail. With information quality improvement and control systems, like the ones described in this book, your company can reduce costs and increase profits from quality information assets. Written by an internationally recognized expert in information quality improvement, Improving Data Warehouse and Business Information Quality arms you with a comprehensive set of tools and techniques for ensuring information quality both in source databases and the data warehouse.

Larry P. English is the leading international expert in the field of information and data warehouse quality. He has provided consulting and educational services in at least 20 countries and on 4 continents. DAMA awarded him the 1998 "Individual Achievement Award" for his contributions to the field of information and resource management.

He writes the "Plain English on Data Quality" column for Data Management Review and is a featured speaker at numerous data warehousing conferences. Larry chairs information quality conferences held around the world.

About the Author
LARRY P. ENGLISH is the leading international expert in the field of information and data warehouse quality. He has provided consulting and educational services in at least 20 countries and on 4 continents. DAMA awarded him the 1998 "Individual Achievement Award" for his contributions to the field of information and resource management. He writes the "Plain English on Data Quality" column for Data Management Review and is a featured speaker at numerous data warehousing conferences. Larry chairs information quality conferences held around the world.