From the Editor

Sweeney, Pat

doi:10.1002/inst.1998123

INSIGHT

1998

DOI: 10.1002/inst.1998123

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From the Editor

Pat Sweeney¹

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Case Article—Mapping Business Problems to Analytics Solutions: Surrogate Experiential Learning in an MBA Introductory Data Science and Business Analytics Course

Pachamanova

2015

INFORMS Transactions on Education

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T he case presented in this article can be used as a surrogate experiential learning exercise in an introductory MBA course on data science and business analytics. Students learn about the life cycle of data analytics projects by alternating between study of analytical techniques and participation in a data analytics project running through the course. The project begins as a simple business question which, through sequential discovery, expands into rich discussions and experiences, and culminates with presentations that test students' ability to translate computational results into insights for various stakeholders. In the process, students learn about effective information gathering and discovery, identifying major stakeholders, problem framing and mapping, model identification, data visualization, and basic model implementation. They also learn how to present their findings to different audiences with the greatest possible impact. This approach elicits student engagement, teamwork, and multiple perspectives as students are asked to view themselves and evaluate their colleagues from the point of view of various roles in the company.

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Case Article—Mapping Business Problems to Analytics Solutions: Surrogate Experiential Learning in an MBA Introductory Data Science and Business Analytics Course

Pachamanova

2015

INFORMS Transactions on Education

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Case Article—Prescriptive Analytics for Entrepreneurial Growth: Data-Driven Strategic Decision Making at iParty Bangkok Co., Ltd.

Li,

Pachamanova,

Siricharoensang

2024

INFORMS Transactions on Education

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This case centers around the dilemma faced by the female owner of a balloon decoration business: whether to outsource transportation of balloon arrangements to third-party providers or handle the transportation of some orders in house. The case illustrates a path to answering the strategic business question through solving a sequence of vehicle routing problems (VRPs) of increasing complexity. The focus of the case is not only on solving VRPs, but also on teaching a practical framework for (1) framing a business problem as a prescriptive analytics problem; (2) researching appropriate concepts, prior publications, and tools; (3) setting up an optimization problem formulation, estimating the necessary inputs, and obtaining a solution; (4) deciding on the appropriate level of formulation complexity needed; and (5) mapping the results from the models to a response to the original business question. Realistic data and Excel models and are provided. The case is appropriate for use in courses in optimization, operations research, and business analytics at either the advanced undergraduate or master’s/MBA level. Supplemental Material: The Teaching Note and supplemental data are available at https://www.informs.org/Publications/Subscribe/Access-Restricted-Materials .

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Cited by 2 publications

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Case Article—Mapping Business Problems to Analytics Solutions: Surrogate Experiential Learning in an MBA Introductory Data Science and Business Analytics Course

Case Article—Mapping Business Problems to Analytics Solutions: Surrogate Experiential Learning in an MBA Introductory Data Science and Business Analytics Course

Case Article—Prescriptive Analytics for Entrepreneurial Growth: Data-Driven Strategic Decision Making at iParty Bangkok Co., Ltd.

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