Data Quality

The Field Guide

Thomas C. Redman

242 pages, parution le 15/01/2001

Ajouter à une liste

Indisponible

Résumé

Can any subject inspire less excitement than “data quality”? Yet a moment's thought reveals the ever-growing importance of quality data. From restated corporate earnings, to incorrect prices on the web, to the bombing of the Chinese Embassy, the media reports the impact of poor data quality on a daily basis. Every business operation creates or consumes huge quantities of data. If the data are wrong, time, money, and reputation are lost. In today's environment, every leader, every decision maker, every operational manager, every consumer, indeed everyone has a vested interest in data quality.

Data Quality: The Field Guide provides the practical guidance needed to start and advance a data quality program. It motivates interest in data quality, describes the most important data quality problems facing the typical organization, and outlines what an organization must do to improve. It consists of 36 short chapters in an easy-to-use field guide format. Each chapter describes a single issue and how to address it.

The book begins with sections that describe why leaders, whether CIOs, CFOs, or CEOs, should be concerned with data quality. 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.

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
Gives step-by-step instructions for applying most techniques and summarizes what “works”.

Contents

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

L'auteur - Thomas C. Redman

President, Navesink Consulting Group

Caractéristiques techniques

	PAPIER
Éditeur(s)	Digital Press
Auteur(s)	Thomas C. Redman
Parution	15/01/2001
Nb. de pages	242
Format	18 x 23,4
Couverture	Broché
Poids	431g
Intérieur	Noir et Blanc
EAN13	9781555582517
ISBN13	978-1-55558-251-7