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The Best Thinking in Business Analytics from the Decision Sciences Institute by Merrill Warkentin, Decision Sciences Institute

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2. Enhancing Data and Decision Quality with Statistical Process Control

—Jeremy D. Ezell, Auburn University

—Benjamin Hazen, University of Tennessee

—Dianne Hall, Auburn University

—L. Allison Jones-Farmer, Miami University

Abstract

The decisions made as a result of business analytics processes are only as good as the data on which they are based. The awareness of the quality of data used by firms of all sizes is a competitive necessity as business moves into the information era. Yet data quality assessment processes are often immature and limited in their effectiveness in the contemporary firm—if they are investigated or explored at all. We examine the data quality problem and propose the use of statistical process control as a viable tool ...

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