Using Data Analytics and Decision-Making Tools for Agribusiness Education

Matthew S. Elliott and Lisa M. Elliott

Applied Economics Teaching Resources (AETR), 2020, vol. 2, issue 2

Abstract: The agriculture sector has entered a new era wherein every stage of the supply chain involves gathering an increasing amount of data. Most of these data are generated in real-time and require rapid analysis that can support optimal decision making for agribusinesses to remain competitive. Consequently, employers desire that students gain data analysis skills in agribusiness classes to best inform optimal decision making. This paper discusses how data analytics have been incorporated into an agribusiness management course.

Keywords: Teaching/Communication/Extension/Profession (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaeatr:302621

DOI: 10.22004/ag.econ.302621

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