KAT Insurance: Data Analytics Cases for Introductory Accounting Using Excel, Power BI, and/or Tableau

Autor:	Tracie Miller-Nobles, Jennifer M. Cainas, Wendy M. Tietz
Rok vydání:	2020
Předmět:	Power (social and political) Computer science Accounting ComputingMilieux_COMPUTERSANDEDUCATION Data analysis Data science Computer Science Applications
Zdroj:	Journal of Emerging Technologies in Accounting. 18:77-85
ISSN:	1558-7940 1554-1908
DOI:	10.2308/jeta-2020-039
Popis:	KAT Insurance Corporation (KAT) presents two independent data analytics cases for introductory financial and managerial accounting courses, using four datasets based on anonymized real-life data (over 65,000 sales records from a national insurance company). The cases introduce students to data cleansing, data dictionaries, and data visualization topics through analysis of sales and/or cost records. The cases use Excel, Power BI, and/or Tableau for students to learn different emerging technologies and develop students' technological agility, addressing the AACSB's Accounting Accreditation Standard 5 and AICPA Accounting Competencies. Over 2,700 students have successfully completed at least one of the cases, and few students had any prior experience with Power BI and/or Tableau. Students surveyed felt their skills improved as a result of the projects, which highlights the relevance and need for this instructional resource that is designed with both accounting instructors and students in mind.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d1740ab6b3bb4a7cb4c52e18a0fd20ef https://doi.org/10.2308/jeta-2020-039 Zobrazit plný text záznamu