{"title":"Querying and visualizing financial data: A teaching case applying STEM skills","authors":"Yuxin Shan , Vernon J. Richardson","doi":"10.1016/j.jaccedu.2025.100978","DOIUrl":null,"url":null,"abstract":"<div><div>Advanced technologies have dramatically changed the ways that accounting professionals collect, analyze and interpret data. Embracing the prevalent implementation of advanced technologies, accounting is moving towards a STEM discipline and requesting accounting students be equipped with emerging technologies. In response to the increasing requirements from the Association to Advance Collegiate Schools of Business (AACSB) and CPA exams on students’ data analytics skills, this case provides you an opportunity to complete the data analytics process by analyzing Dillard’s data using Structured Query Language (SQL) and Tableau. Specifically, this case provides an illustration of real-world data analysis, including the use of SQL to extract required data, the use of word clouds, geographic maps, and box-and-whisker plots to visualize data and outliers, an illustration of grouping data by clustering, and using interactive dashboards and narrative stories to communicate results. We aim to use software tools that you are familiar with to inspire your interest in data analytics, helping you understand the enormous power of SQL and Tableau to query, aggregate, analyze and visualize massive data as you build your own data analytics mindset.</div></div>","PeriodicalId":35578,"journal":{"name":"Journal of Accounting Education","volume":"72 ","pages":"Article 100978"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Accounting Education","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0748575125000296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Advanced technologies have dramatically changed the ways that accounting professionals collect, analyze and interpret data. Embracing the prevalent implementation of advanced technologies, accounting is moving towards a STEM discipline and requesting accounting students be equipped with emerging technologies. In response to the increasing requirements from the Association to Advance Collegiate Schools of Business (AACSB) and CPA exams on students’ data analytics skills, this case provides you an opportunity to complete the data analytics process by analyzing Dillard’s data using Structured Query Language (SQL) and Tableau. Specifically, this case provides an illustration of real-world data analysis, including the use of SQL to extract required data, the use of word clouds, geographic maps, and box-and-whisker plots to visualize data and outliers, an illustration of grouping data by clustering, and using interactive dashboards and narrative stories to communicate results. We aim to use software tools that you are familiar with to inspire your interest in data analytics, helping you understand the enormous power of SQL and Tableau to query, aggregate, analyze and visualize massive data as you build your own data analytics mindset.
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.