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This research introduces a big data approach to accounting analytics within an executive level graduate business course, and the case may be also be applied to advanced undergraduate level or graduate level accounting information systems or management accounting course. The research includes an applied learning activity working with big datasets from the IRS Statistics of Income and Assessed Value of Housing in New York. The learning objectives included preparing income statements, analyzing cost behavior, interpreting the results, and developing an informed budget. This active learning case provides students an opportunity to develop expertise with big datasets in the context of the accounting and analytics disciplines.
Valrie Chambers, Stetson University
Joseph M Woodside, Stetson University
Monica Mendoza, Stetson University