{"title":"库存分析:一个使用excel和Alteryx的教学案例","authors":"Jenny Parlier , Lorraine Lee","doi":"10.1016/j.jaccedu.2023.100848","DOIUrl":null,"url":null,"abstract":"<div><p>The emergence of big data and analytics has motivated the audit profession to incorporate additional business analytical procedures into existing auditing processes. In response, educators must find ways to integrate data analytics into existing audit curriculum to prepare students for the audit profession. One possible way to integrate analytics into the audit curriculum is to supplement the teaching of traditional audit topics with data analytics case studies. The purpose of this paper is to describe a teaching case that integrates the auditing topics of inventory and fraud with basic data analytics. We develop a teaching case motivated by practice that describes an Excel-based fraud related to the audit of inventory. As Excel remains a common tool for accounting analytics, as well as a common format for data exchange between the auditor and client, the case begins with data analysis using Excel. After completing the initial Excel analysis, you perform a similar analysis using a more advanced analytics tool (Alteryx), which provides you an opportunity to use a new tool to detect the spreadsheet irregularities. The case concludes with you assessing the advantages and disadvantages of Alteryx versus Excel. As the context of this case is the audit of inventory, the case is especially suited for use in an audit class when covering the financial statement area of inventory. Alternatively, this case can be used in an accounting analytics class to introduce advanced analytics tools using a real-world audit setting.</p></div>","PeriodicalId":35578,"journal":{"name":"Journal of Accounting Education","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Inventory analytics: A teaching case using excel and Alteryx\",\"authors\":\"Jenny Parlier , Lorraine Lee\",\"doi\":\"10.1016/j.jaccedu.2023.100848\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The emergence of big data and analytics has motivated the audit profession to incorporate additional business analytical procedures into existing auditing processes. In response, educators must find ways to integrate data analytics into existing audit curriculum to prepare students for the audit profession. One possible way to integrate analytics into the audit curriculum is to supplement the teaching of traditional audit topics with data analytics case studies. The purpose of this paper is to describe a teaching case that integrates the auditing topics of inventory and fraud with basic data analytics. We develop a teaching case motivated by practice that describes an Excel-based fraud related to the audit of inventory. As Excel remains a common tool for accounting analytics, as well as a common format for data exchange between the auditor and client, the case begins with data analysis using Excel. After completing the initial Excel analysis, you perform a similar analysis using a more advanced analytics tool (Alteryx), which provides you an opportunity to use a new tool to detect the spreadsheet irregularities. The case concludes with you assessing the advantages and disadvantages of Alteryx versus Excel. As the context of this case is the audit of inventory, the case is especially suited for use in an audit class when covering the financial statement area of inventory. Alternatively, this case can be used in an accounting analytics class to introduce advanced analytics tools using a real-world audit setting.</p></div>\",\"PeriodicalId\":35578,\"journal\":{\"name\":\"Journal of Accounting Education\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Accounting Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0748575123000209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Accounting Education","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0748575123000209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
Inventory analytics: A teaching case using excel and Alteryx
The emergence of big data and analytics has motivated the audit profession to incorporate additional business analytical procedures into existing auditing processes. In response, educators must find ways to integrate data analytics into existing audit curriculum to prepare students for the audit profession. One possible way to integrate analytics into the audit curriculum is to supplement the teaching of traditional audit topics with data analytics case studies. The purpose of this paper is to describe a teaching case that integrates the auditing topics of inventory and fraud with basic data analytics. We develop a teaching case motivated by practice that describes an Excel-based fraud related to the audit of inventory. As Excel remains a common tool for accounting analytics, as well as a common format for data exchange between the auditor and client, the case begins with data analysis using Excel. After completing the initial Excel analysis, you perform a similar analysis using a more advanced analytics tool (Alteryx), which provides you an opportunity to use a new tool to detect the spreadsheet irregularities. The case concludes with you assessing the advantages and disadvantages of Alteryx versus Excel. As the context of this case is the audit of inventory, the case is especially suited for use in an audit class when covering the financial statement area of inventory. Alternatively, this case can be used in an accounting analytics class to introduce advanced analytics tools using a real-world audit setting.
期刊介绍:
The Journal of Accounting Education (JAEd) is a refereed journal dedicated to promoting and publishing research on accounting education issues and to improving the quality of accounting education worldwide. The Journal provides a vehicle for making results of empirical studies available to educators and for exchanging ideas, instructional resources, and best practices that help improve accounting education. The Journal includes four sections: a Main Articles Section, a Teaching and Educational Notes Section, an Educational Case Section, and a Best Practices Section. Manuscripts published in the Main Articles Section generally present results of empirical studies, although non-empirical papers (such as policy-related or essay papers) are sometimes published in this section. Papers published in the Teaching and Educational Notes Section include short empirical pieces (e.g., replications) as well as instructional resources that are not properly categorized as cases, which are published in a separate Case Section. Note: as part of the Teaching Note accompany educational cases, authors must include implementation guidance (based on actual case usage) and evidence regarding the efficacy of the case vis-a-vis a listing of educational objectives associated with the case. To meet the efficacy requirement, authors must include direct assessment (e.g grades by case requirement/objective or pre-post tests). Although interesting and encouraged, student perceptions (surveys) are considered indirect assessment and do not meet the efficacy requirement. The case must have been used more than once in a course to avoid potential anomalies and to vet the case before submission. Authors may be asked to collect additional data, depending on course size/circumstances.