Jennifer M. Cainas, Wendy M. Tietz, Tracie L. Miller-Nobles
{"title":"KAT Insurance: Data Analytics Cases for Introductory Accounting Using Excel, Power BI, and/or Tableau","authors":"Jennifer M. Cainas, Wendy M. Tietz, Tracie L. Miller-Nobles","doi":"10.2308/jeta-2020-039","DOIUrl":null,"url":null,"abstract":"\n 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.","PeriodicalId":45427,"journal":{"name":"Journal of Emerging Technologies in Accounting","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2020-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Emerging Technologies in Accounting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2308/jeta-2020-039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 3
Abstract
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.