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Organizations depend on data. Regardless of industry, revenue size or the market it serves, every company relies on its data to produce information for business decision making, yet billions of dollars are lost by businesses every year to poor data quality.
This white paper discusses the process of improving data quality, starting with the business impact of poor quality data and then outlining the challenges of creating trustworthy data. The paper then lists the four elements that constitute data quality and explains how to achieve them. Ultimately you will learn about the importance of data quality and how technologies like SAS ETLQ can save businesses billions of dollars.
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