James L. Bierstaker, Danielle R. Lombardi, Wenru Wang
{"title":"野猫杂货店:信息系统和数据分析的案例研究","authors":"James L. Bierstaker, Danielle R. Lombardi, Wenru Wang","doi":"10.2308/jeta-2022-037","DOIUrl":null,"url":null,"abstract":"ABSTRACT The current data environment spurs technological and business analytics innovations in both practice and research. Many large consulting firms invest heavily in technology to help business analysts develop skills in extracting and visualizing useful information from large sets of data. The purpose of this teaching case is to provide students with practice in data analytics techniques and consider computer-based systems in the revenue cycle. Students will read a teaching case based on a real grocery store chain, referred to as WILDCAT Grocery Stores, Inc.; evaluate its systems and use of technology for the revenue cycle; and apply data analytics to a large fictional transaction dataset for information extraction. In addition, we introduce the use of Python programming and visualizations into the case analysis to highlight the efficiency of newly emerging data analytics techniques.","PeriodicalId":45427,"journal":{"name":"Journal of Emerging Technologies in Accounting","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"WILDCAT Grocery Stores: A Case Study on Information Systems and Data Analytics\",\"authors\":\"James L. Bierstaker, Danielle R. Lombardi, Wenru Wang\",\"doi\":\"10.2308/jeta-2022-037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT The current data environment spurs technological and business analytics innovations in both practice and research. Many large consulting firms invest heavily in technology to help business analysts develop skills in extracting and visualizing useful information from large sets of data. The purpose of this teaching case is to provide students with practice in data analytics techniques and consider computer-based systems in the revenue cycle. Students will read a teaching case based on a real grocery store chain, referred to as WILDCAT Grocery Stores, Inc.; evaluate its systems and use of technology for the revenue cycle; and apply data analytics to a large fictional transaction dataset for information extraction. In addition, we introduce the use of Python programming and visualizations into the case analysis to highlight the efficiency of newly emerging data analytics techniques.\",\"PeriodicalId\":45427,\"journal\":{\"name\":\"Journal of Emerging Technologies in Accounting\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-10-01\",\"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-2022-037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Emerging Technologies in Accounting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2308/jeta-2022-037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
WILDCAT Grocery Stores: A Case Study on Information Systems and Data Analytics
ABSTRACT The current data environment spurs technological and business analytics innovations in both practice and research. Many large consulting firms invest heavily in technology to help business analysts develop skills in extracting and visualizing useful information from large sets of data. The purpose of this teaching case is to provide students with practice in data analytics techniques and consider computer-based systems in the revenue cycle. Students will read a teaching case based on a real grocery store chain, referred to as WILDCAT Grocery Stores, Inc.; evaluate its systems and use of technology for the revenue cycle; and apply data analytics to a large fictional transaction dataset for information extraction. In addition, we introduce the use of Python programming and visualizations into the case analysis to highlight the efficiency of newly emerging data analytics techniques.