Data Quality - The Field Guide

Klappentext It explains the pros and cons of approaches for addressing the issue. It explains what those organizations with the best data do. And it lays bare the social issues that prevent organizations from making headway. "Field tips" at the end of each chapter summarize the most important points. It allows readers to go directly to the topic of interest; provides web-based material so readers can cut and paste figures and tables into documents within their organizations; and! gives step-by-step instructions for applying most techniques and summarizes what "works". Zusammenfassung Presents the practical guidance needed to start and advance a data quality program. This book describes important data quality problems facing the typical organization! and outlines what an organization must do to improve. It contains sections that describe why leaders! whether CIOs! CFOs! or CEOs! should be concerned with data quality. Inhaltsverzeichnis Preface; Author's Note; Who Cares About Quality Data?; Building The Business Case for Data Quality; The Heart of the Matter; Necessary Background; Blocking and Tackling; Middle Management Roles and Responsibilities; Why Senior Management Must Lead and What it Must Do; Data Quality in Context; Glossary; References

Produktdetails

• Autoren: Michael Daugherty, Mike Daugherty, Thomas Redman, Thomas C. Redman
• Verlag: ELSEVIER SCIENCE BV
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 22.01.2001
• EAN: 9781555582517
• ISBN: 978-1-55558-251-7
• Seiten: 260
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Maschinenbau, Fertigungstechnik; BUSINESS & ECONOMICS / Operations Research, TECHNOLOGY & ENGINEERING / Tribology, Enterprise Software, Operational research, Databases, Tribology (friction & lubrication), Tribology (friction and lubrication), COMPUTERS / Database Administration & Management