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Vistabeans coffee shop data analytics teaching case

Author

Listed:
  • Igou, Amy
  • Coe, Martin

Abstract

This case engages you in a data analytics learning activity. You will use data analytics software and a sample dataset to gain an understanding of data analytics and how data analytics can be used to answer important business questions from an accountant's perspective. The intended audience is accounting information systems course students.

Suggested Citation

  • Igou, Amy & Coe, Martin, 2016. "Vistabeans coffee shop data analytics teaching case," Journal of Accounting Education, Elsevier, vol. 36(C), pages 75-86.
    • Handle: RePEc:eee:joaced:v:36:y:2016:i:c:p:75-86
    DOI: 10.1016/j.jaccedu.2016.05.004
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    References listed on IDEAS

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    1. Janvrin, Diane J. & Raschke, Robyn L. & Dilla, William N., 2014. "Making sense of complex data using interactive data visualization," Journal of Accounting Education, Elsevier, vol. 32(4), pages 31-48.
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    Citations

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    Cited by:

    1. Sledgianowski, Deb & Gomaa, Mohamed & Tan, Christine, 2017. "Toward integration of Big Data, technology and information systems competencies into the accounting curriculum," Journal of Accounting Education, Elsevier, vol. 38(C), pages 81-93.
    2. Hoelscher, Jamie & Mortimer, Amanda, 2018. "Using Tableau to visualize data and drive decision-making," Journal of Accounting Education, Elsevier, vol. 44(C), pages 49-59.
    3. Gross, Andrew & Hoelscher, Jamie & Reed, Brad J. & Sierra, Gregory E., 2020. "The new nuts and bolts of auditing: Technological innovation in inventorying inventory," Journal of Accounting Education, Elsevier, vol. 52(C).
    4. Janvrin, Diane J. & Weidenmier Watson, Marcia, 2017. "“Big Data”: A new twist to accounting," Journal of Accounting Education, Elsevier, vol. 38(C), pages 3-8.
    5. Ballou, Brian & Heitger, Dan L. & Stoel, Dale, 2018. "Data-driven decision-making and its impact on accounting undergraduate curriculum," Journal of Accounting Education, Elsevier, vol. 44(C), pages 14-24.
    6. Lawson, James G. & Street, Daniel A., 2021. "Detecting dirty data using SQL: Rigorous house insurance case," Journal of Accounting Education, Elsevier, vol. 55(C).

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