Danette McGilvray – Executing Data Quality Projects

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About Course

Information is currency. In today’s world of instant global communication and rapidly changing trends, up-to-date and reliable information is essential for effective competition. Recent studies show that data quality issues are costing companies 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. also

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When executing data quality projects: ten steps to obtaining quality data and reliable information. Danette McGilvray presents a systematic and proven approach to improve. And create data and information quality within the company. She describes a methodology that combines a conceptual framework for understanding information quality with the tools, techniques, and instructions to improve and create information quality. His recorded “Ten Steps” approach applies to all types of data and to all types of organizations. Also

Includes numerous templates, detailed examples, and practical tips for executing each step of the Ten Steps approach.
Allows for quick reference with an easy-to-use format that highlights key concepts and definitions, important checkpoints, communication activities, and best practices.
A companion website includes links to numerous data quality resources, including many of the planning and information gathering templates listed in the text, quick summaries of key ideas from The Ten Step methodology, and other tools and information that is available online.