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Using Tableau to visualize data and drive decision-making

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  • Hoelscher, Jamie
  • Mortimer, Amanda

Abstract

This case emphasizes the importance of data analysis through the usage of data visualization software to help you gain an understanding of data and how it can be transformed into information that can enhance the decision-making process. In the data visualization software, Tableau, you will be asked to connect to an Access data file to analyze six months of sales transaction data of a small start-up ice cream manufacturer. Consistent with AACSB Accounting Standard A7, the case focuses on familiarization with data visualization software to “convey data, results, and insights” (AACSB, 2013) and apply higher-order thinking. Upon familiarization with the data and data visualization software, you will be required to perform an exploratory analysis to identify key trends in the data to prepare and report that information to enhance the business decision-making process. This case is intended to be utilized in an undergraduate accounting information systems course; an introductory managerial course; or a course focusing on data analytics as a basic introduction to data visualization software.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:joaced:v:44:y:2018:i:c:p:49-59
    DOI: 10.1016/j.jaccedu.2018.05.002
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    References listed on IDEAS

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    1. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    2. Churyk, Natalie Tatiana & Stenka, Renata, 2014. "Accounting for complex investment transactions," Journal of Accounting Education, Elsevier, vol. 32(4), pages 58-70.
    3. 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.
    4. Apostolou, Barbara & Dorminey, Jack W. & Hassell, John M. & Rebele, James E., 2014. "A summary and analysis of education research in accounting information systems (AIS)," Journal of Accounting Education, Elsevier, vol. 32(2), pages 99-112.
    5. Igou, Amy & Coe, Martin, 2016. "Vistabeans coffee shop data analytics teaching case," Journal of Accounting Education, Elsevier, vol. 36(C), pages 75-86.
    6. Braun, Karen W., 2013. "Custom fabric ventures: An instructional resource in job costing for the introductory managerial accounting course," Journal of Accounting Education, Elsevier, vol. 31(4), pages 400-429.
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