The Evolution of Analytics and Implications for Industry and Academic Programs

Melissa R. Bowers (), Jeffrey D. Camm () and Goutam Chakraborty ()
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Melissa R. Bowers: Haslam College of Business, University of Tennessee, Knoxville, Tennessee 37996
Jeffrey D. Camm: Wake Forest University School of Business, Winston-Salem, North Carolina 27109
Goutam Chakraborty: Spears School of Business, Oklahoma State University, Stillwater, Oklahoma 74078

Interfaces, 2018, vol. 48, issue 6, 487-499

Abstract: In this work, we discuss how analytics is evolving in industry and academia. To assess industry needs, we conducted a text-mining study of online job postings for analytics-related positions. We also conducted a survey of academic programs in analytics-related master’s programs to ascertain topic coverage relative to industry needs. Based on these two studies, we discuss gaps that we believe need to be addressed. While industry moves along the analytics maturity spectrum from descriptive to predictive to prescriptive optimization-based analytics, analytics master’s programs are focusing less on optimization and more heavily on predictive analytics, thus creating the future potential for a gap in the analytics training provided by academia and the future analytics needs of industry.

Keywords: analytics education; analytics degree programs; analytics job market; operations research education; operations research job market (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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