Arguably, data analytics is the “hot topic” for both accounting programs and Colleges of Business. Firms and advisory boards are requesting increased incorporation of data analytics into accounting programs. Furthermore, the Association to Advance Collegiate Schools of Business (AACSB) International Standard A5 requires accounting programs to focus on agility and adaptability when incorporating data analytics into the accounting program. In this paper, we propose a framework for balancing industry needs and Standard A5 that incorporates accounting-specific data analytics and satisfies existing course learning objectives. This framework was developed through the creation of a stand-alone Data Analytics in Accounting course. Our framework emphasizes students moving from more structured manual calculations to less structured analysis using Excel, and then to more unstructured analysis using specialized accounting-specific data analytics software. Additionally, we provide specific examples of how this framework can be applied to multiple accounting courses.
Accounting-Specific Data Analytics: A Framework for Addressing AACSB Standard A5 and Industry Demand
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Gregory P. Tapis, Christopher S. Hines; Accounting-Specific Data Analytics: A Framework for Addressing AACSB Standard A5 and Industry Demand. Journal of Emerging Technologies in Accounting 2021; doi: https://doi.org/10.2308/JETA-2020-024
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