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Executing Data Quality Projects - Ten Steps to Quality Data and Trusted Information (TM) (Paperback)
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Executing Data Quality Projects - Ten Steps to Quality Data and Trusted Information (TM) (Paperback)
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Information is currency. In today s world of instant global
communication and rapidly changing trends, up-to-date and reliable
information is essential to effective competition. Recent studies
show that data quality problems are costing businesses billions of
dollars each year, with poor data linked to waste and inefficiency,
damaged credibility among customers and suppliers, and an
organizational inability to make sound decisions.
In "Executing Data Quality Projects: Ten Steps to Quality Data and
Trusted Information," Danette McGilvray presents a systematic,
proven approach to improving and creating data and information
quality within the enterprise. She describes a methodology that
combines a conceptual framework for understanding information
quality with the tools, techniques, and instructions for improving
and creating information quality. Her trademarked "Ten Steps"
approach applies to all types of data and to all types of
organizations.
* Includes numerous templates, detailed examples, and practical
advice for executing every step of The Ten Steps approach.
* Allows for quick reference with an easy-to-use format
highlighting key concepts and definitions, important checkpoints,
communication activities, and best practices.
* A companion Web site includes links to numerous data quality
resources, including many of the planning and information-gathering
templates featured in the text, quick summaries of key ideas from
The Ten Step methodology, and other tools and information that is
available online."
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