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The Evolution of Analytics and Implications for Industry and Academic Programs

Author

Listed:
  • 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)

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.

Suggested Citation

  • Melissa R. Bowers & Jeffrey D. Camm & Goutam Chakraborty, 2018. "The Evolution of Analytics and Implications for Industry and Academic Programs," Interfaces, INFORMS, vol. 48(6), pages 487-499, November.
    • Handle: RePEc:inm:orinte:v:48:y:2018:i:6:p:487-499
    DOI: 10.1287/inte.2018.0955
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    References listed on IDEAS

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    Cited by:

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