{"title":"GADGET: An Accounting Data Generator","authors":"M. Holt, Bradley Lang","doi":"10.2308/jeta-2020-035","DOIUrl":null,"url":null,"abstract":"\n With the proliferation of data analytics in the field of accounting, educators need resources to enhance their curricula with analytics projects. This paper provides educators with a robust tool that generates large, unique revenue-cycle transaction data with certain realistic properties. The datasets can be used by educators to teach accounting-based data analytic procedures in accounting information systems, auditing, fraud, and data analytics classes. Additionally, multiple potential implementation opportunities for the datasets are proposed and a comprehensive example case is provided.\n Data Availability: The data generator can be accessed at: https://mplholt.shinyapps.io/GADGET/","PeriodicalId":45427,"journal":{"name":"Journal of Emerging Technologies in Accounting","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Emerging Technologies in Accounting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2308/jeta-2020-035","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: 0
Abstract
With the proliferation of data analytics in the field of accounting, educators need resources to enhance their curricula with analytics projects. This paper provides educators with a robust tool that generates large, unique revenue-cycle transaction data with certain realistic properties. The datasets can be used by educators to teach accounting-based data analytic procedures in accounting information systems, auditing, fraud, and data analytics classes. Additionally, multiple potential implementation opportunities for the datasets are proposed and a comprehensive example case is provided.
Data Availability: The data generator can be accessed at: https://mplholt.shinyapps.io/GADGET/