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Informationen zum Autor 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. Klappentext 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. Zusammenfassung Ein autoritativer, umfangreicher Leitfaden der besten Methoden und Hilfsmittel, die es Managern ermöglichen, stets zum richtigen Zeitpunkt auf die richtigen Informationen zurückgreifen zu können! Gezeigt wird außerdem, wie man Datenbestände guter Qualität erzeugt und pflegt, auf die man sich im Ernstfall verlassen kann. Mit Anregungen zum Qualitätsmanagement auf allen Ebenen - von den einzelnen Datenbanken bis zum Data Warehouse. (03/99) Inhaltsverzeichnis PRINCIPLES OF INFORMATION QUALITY IMPROVEMENT. The High Costs of Low- Quality Data. Defining Information Quality. Applying Quality Management Principles to Information. PRINCIPLES FOR IMPROVING INFORMATION QUALITY. An Overview of Total Quality Data Management (TQdM). Assessing Data Definition and Information Architecture Quality. Information Quality Assessment. Measuring Nonquality Information Costs. Information Product Improvement: Data Reengineering and Cleansing. Improving Information Process Quality: Data Defect Prevention. Information Quality Tools and Techniques. ESTABLISHING T...
Sommario
PRINCIPLES OF INFORMATION QUALITY IMPROVEMENT.
The High Costs of Low- Quality Data.
Defining Information Quality.
Applying Quality Management Principles to Information.
PRINCIPLES FOR IMPROVING INFORMATION QUALITY.
An Overview of Total Quality Data Management (TQdM).
Assessing Data Definition and Information Architecture Quality.
Information Quality Assessment.
Measuring Nonquality Information Costs.
Information Product Improvement: Data Reengineering and Cleansing.
Improving Information Process Quality: Data Defect Prevention.
Information Quality Tools and Techniques.
ESTABLISHING THE INFORMATION QUALITY ENVIRONMENT.
The 14 Points of Information Quality.
Information Stewardship: Accountability for Information Quality.
Implementing an Information Quality Improvement Environment.
Epilogue: Reaping the Benefits of Quality Information.
Appendices.
Index.
