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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:

    1. Kala C. Seal & Linda A. Leon & Zbigniew H. Przasnyski & Greg Lontok, 2020. "Delivering Business Analytics Competencies and Skills: A Supply Side Assessment," Interfaces, INFORMS, vol. 50(4), pages 239-254, July.
    2. João Reis, 2023. "Exploring Applications and Practical Examples by Streamlining Material Requirements Planning (MRP) with Python," Logistics, MDPI, vol. 7(4), pages 1-19, December.
    3. Yin Zhang & Dan Wu & Loni Hagen & Il‐Yeol Song & Javed Mostafa & Sam Oh & Theresa Anderson & Chirag Shah & Bradley Wade Bishop & Frank Hopfgartner & Kai Eckert & Lisa Federer & Jeffrey S. Saltz, 2023. "Data science curriculum in the iField," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(6), pages 641-662, June.
    4. Aaron Babier & Craig Fernandes & Ian Yihang Zhu, 2023. "Advising Student-Driven Analytics Projects: A Summary of Experiences and Lessons Learned," INFORMS Transactions on Education, INFORMS, vol. 23(2), pages 121-135, January.
    5. Anup Kumar & Santosh Kumar Shrivastav & Sarbjit Singh Oberoi, 2024. "Application of Analytics in Supply Chain Management from Industry and Academic Perspective," FIIB Business Review, , vol. 13(5), pages 503-516, October.

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