Using Data Analytics and Decision-Making Tools for Agribusiness Education
2020
Elliott, Matthew S. | Elliott, Lisa M.
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.
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http://ageconsearch.umn.edu/record/302621
2021-02-15
AGRIS AP
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https://ageconsearch.umn.edu/record/302621/files/302621DataAssignment4.xlsx
https://ageconsearch.umn.edu/record/302621/files/302621DataAssignment1.xlsx
http://ageconsearch.umn.edu/record/302621
https://ageconsearch.umn.edu/record/302621/files/302621DataAssignment5.xlsx
https://ageconsearch.umn.edu/record/302621/files/602621DataAssignment2.xlsx
https://ageconsearch.umn.edu/record/302621/files/AETR_2019_026ProofFinalV2_v3.pdf
https://ageconsearch.umn.edu/record/302621/files/302621DataAssignment3.xlsx
https://ageconsearch.umn.edu/record/302621/files/AETR_2019_026TeachingNotesFinal00000002.pdf
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