 Mystery, Inc.: A Big Data caseKathryn Enget, Gabriel D. Saucedo and Nicole S. Wright Journal of Accounting Education, 2017, vol. 38, issue C, 9-22 Abstract: This case introduces you to the concepts of Big Data and data analytics in conjunction with AU 316, Consideration of Fraud in a Financial Statement Audit, and journal entry testwork. You will assume the role of a staff auditor and assist the engagement senior with journal entry testwork and data analyses for Mystery, Inc.’s 20x3 fiscal year. In the first part of the case, you will perform journal entry planning and scoping procedures, which will then be passed on to the engagement data analytics team. In the second part of the case, you will analyze the Big Data output prepared by the data analytics team to identify anomalies and to propose follow-up audit fieldwork. To prepare you for the case and to build your understanding of Big Data and data analytics, the engagement partner has also provided you a few pages of background reading on the subject matter. By completing the Mystery, Inc. case, you will gain an understanding of Big Data and AU 316 within the context of a financial statement audit, and supplement your analytical and higher order thinking skillset. Keywords: Big Data; Data analytics; AU 316 (SAS 99); Journal entry testwork (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:joaced:v:38:y:2017:i:c:p:9-22 DOI: 10.1016/j.jaccedu.2016.12.003 Access Statistics for this article Journal of Accounting Education is currently edited by Natalie Tatiana Churyk More articles in Journal of Accounting Education from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.