A data analytics case study analyzing IRS SOI migration data using no code, low code technologies

Samy Garas and Susan L. Wright

Journal of Accounting Education, 2024, vol. 66, issue C

Abstract: Organizations generate and accumulate vast amounts of structured and unstructured data that have value for formulating and supporting strategic decisions. The advancement of no-code and low-code software has enabled the use of this data to provide significant data insights and business intelligence by employing multiple forms of data analytics. The imperative to cultivate a robust and proficient group of individuals with expertise in data analytics has led to a substantial increase in the number of educational programs focused on data science and analytics. Accounting educators can capitalize on these trends by integrating data analytics and software skills into the accounting curriculum. This case offers essential materials to aid in the development of the curriculum to support accounting and analytics educators.

Keywords: Robotic process automation; UiPath; Alteryx; Tableau; Data automation; Data analytics; Data visualizations; Regional migration; Government planning; Business planning (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:joaced:v:66:y:2024:i:c:s0748575124000010

DOI: 10.1016/j.jaccedu.2024.100885

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