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Delivering Business Analytics Competencies and Skills: A Supply Side Assessment

Author

Listed:
  • Kala C. Seal

    (Department of Information Systems and Business Analytics, Loyola Marymount University, Los Angeles, California 90045)

  • Linda A. Leon

    (Department of Information Systems and Business Analytics, Loyola Marymount University, Los Angeles, California 90045)

  • Zbigniew H. Przasnyski

    (Department of Information Systems and Business Analytics, Loyola Marymount University, Los Angeles, California 90045)

  • Greg Lontok

    (Department of Information Systems and Business Analytics, Loyola Marymount University, Los Angeles, California 90045)

Abstract

This paper investigates the alignment of the demand side of business analytics (based on advertised job positions) with the supply side (based on the university curricula of U.S. business analytics programs). We text-mined job advertisements and core and elective course descriptions to identify the competencies demanded by business analytics–related jobs and those being taught in graduate analytics programs that include a business component. A comparative analysis of the competencies reveals that, although some of the competencies required by the jobs are taught adequately at the universities, a few key concepts and topics are not covered at sufficient depth as needed by the jobs. The research also shows that many traditional analytics topics are being over-taught at the universities when compared with the demand, whereas some key soft skills are not addressed at a sufficient level in many programs. The study provides a basis for future comparison of data-science positions and programs with the jobs and programs in business analytics.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:orinte:v:50:y:2020:i:4:p:239-254
    DOI: 10.1287/inte.2020.1043
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    References listed on IDEAS

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    1. 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.
    2. Coleen R. Wilder & Ceyhun O. Ozgur, 2015. "Business Analytics Curriculum for Undergraduate Majors," INFORMS Transactions on Education, INFORMS, vol. 15(2), pages 180-187, January.
    3. ManMohan S. Sodhi & Byung-Gak Son & Christopher S. Tang, 2008. "ASP, The Art and Science of Practice: What Employers Demand from Applicants for MBA-Level Supply Chain Jobs and the Coverage of Supply Chain Topics in MBA Courses," Interfaces, INFORMS, vol. 38(6), pages 469-484, December.
    4. Linda A. Leon & Kala Chand Seal & Zbigniew H. Przasnyski & Ian Wiedenman, 2017. "Skills and Competencies Required for Jobs in Business Analytics: A Content Analysis of Job Advertisements Using Text Mining," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 8(1), pages 1-25, January.
    5. Stefan Debortoli & Oliver Müller & Jan Brocke, 2014. "Comparing Business Intelligence and Big Data Skills," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(5), pages 289-300, October.
    6. Michael F. Gorman & Ronald K. Klimberg, 2014. "Benchmarking Academic Programs in Business Analytics," Interfaces, INFORMS, vol. 44(3), pages 329-341, June.
    7. M S Sodhi & B-G Son, 2010. "Content analysis of OR job advertisements to infer required skills," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(9), pages 1315-1327, September.
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