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July/August 2022 » Detecting and Resolving ‘Dirty’...
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Dana R. Hermanson, , PhD, and James G. Lawson, , PhD, and Daniel A. Street, , PhD
In BriefAlthough business's increasing utilization of technology to drive operational decisions has meant a greater reliance on data, it is exceedingly rare that an entity possesses a perfectly clean set of data. Some of it is inevitably invalid, incomplete, or inaccurate—in other words, “dirty.” In order to address the issues caused by dirty data, the authors provide a 10-step program CPAs in any setting can use to help businesses make better decisions.
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