Global Engagement > Partnerships > Programs for Partner Institutions > Fraud Detection with Audit Data Analytics
This GLE project focused on how an accounting profession can leverage
data analytics skills to provide suggestions to the organization’s operations
and to highlight any potential fraud. Given the unstructured nature of the
project, student groups (with students from both National Chung Cheng
University and DePaul University) collaborated to plan and execute the analyses,
which reflected the different risk and analysis preferences through the cultural
and educational backgrounds. More importantly, student groups discussed and
determined the key findings and their major recommendations/implications based
on different perspectives from their prior training and experience.
Students communicated findings effectively with group members with different cultural and educational backgrounds.
Students considered alternative perspectives when interpreting findings, given different
considerations highlighted in different regions and local institutional
"The dynamics of a global team and all the cultural, communicational, and
technological differences are always challenging to manage. However, these are
the factors that help us bring new perspectives to the final output."
~ Tawei (David) Wang
"A success during the GLE project is the collaboration among team members."
~ Shaio-Yan Huang
Institution: DePaul University Discipline: School of Accountancy and MIS Course Name: Audit Analytics
Institution: National Chung Cheng University Discipline: Accounting and Information Technology Course Name: Computer Auditing
DePaul UniversityChicago, IL, United States
National Chung Cheng UniversityChiayi, Taiwan
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