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Case Article—Business Value in Integrating Predictive and Prescriptive Analytics Models

Author

Listed:
  • David Kopcso

    (Division of Mathematics and Science, Babson College, Wellesley, Massachusetts 02457)

  • Dessislava Pachamanova

    (Division of Mathematics and Science, Babson College, Wellesley, Massachusetts 02457)

Abstract

This article suggests ways to frame classroom discussion around the business value of models in data science, predictive analytics, and management science classes. We consider an example in which predictive analytics is used to determine the inputs to prescriptive models for customer service, and illustrate how calculations of business value enter the process of creating recommendations for business stakeholders. A review of predictive and prescriptive techniques and how they map to business problems is provided to explain the context for the exercise, and the level of analytics maturity of organizations is discussed in connection with the use of predictive and prescriptive analytics. This example presents a unified view of concepts from traditionally disparate areas of analytics, making it suitable as a capstone or an ongoing project in a data science or business analytics course.

Suggested Citation

  • David Kopcso & Dessislava Pachamanova, 2018. "Case Article—Business Value in Integrating Predictive and Prescriptive Analytics Models," INFORMS Transactions on Education, INFORMS, vol. 19(1), pages 36-42, September.
    • Handle: RePEc:inm:orited:v:19:y::i:1:p:36-42
    DOI: 10.1287/ited.2017.0186ca
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    References listed on IDEAS

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    1. Garrett van Ryzin & Jeff McGill, 2000. "Revenue Management Without Forecasting or Optimization: An Adaptive Algorithm for Determining Airline Seat Protection Levels," Management Science, INFORMS, vol. 46(6), pages 760-775, June.
    2. Thomas A. Grossman & Judith Shaul Norback & Jill R. Hardin & Garlie A. Forehand, 2008. "Managerial Communication of Analytical Work," INFORMS Transactions on Education, INFORMS, vol. 8(3), pages 125-138, May.
    3. Thomas A. Grossman, 2001. "Causes of the Decline of the Business School Management Science Course," INFORMS Transactions on Education, INFORMS, vol. 1(2), pages 51-61, January.
    4. Ali, Abdul & Mancha, Ruben & Pachamanova, Dessislava, 2018. "Correcting analytics maturity myopia," Business Horizons, Elsevier, vol. 61(2), pages 211-219.
    5. Peter P. Belobaba, 1989. "OR Practice—Application of a Probabilistic Decision Model to Airline Seat Inventory Control," Operations Research, INFORMS, vol. 37(2), pages 183-197, April.
    6. Serguei Netessine & Robert Shumsky, 2002. "Introduction to the Theory and Practice of Yield Management," INFORMS Transactions on Education, INFORMS, vol. 3(1), pages 34-44, September.
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    Cited by:

    1. Dessislava Pachamanova & Vera Tilson & Keely Dwyer-Matzky, 2022. "Case Article—Machine Learning, Ethics, and Change Management: A Data-Driven Approach to Improving Hospital Observation Unit Operations," INFORMS Transactions on Education, INFORMS, vol. 22(3), pages 178-187, May.
    2. Thomas C. Sharkey & Steve Bublak & Lisa Disselkamp & Brittney Shkil, 2020. "Workforce Scheduling for Airport Immigration on the Island of Tropical Paradise," INFORMS Transactions on Education, INFORMS, vol. 20(2), pages 85-89, January.

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