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 points.
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"
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