This caselet might be helpful to increase understanding of students regarding data analytics for fraud detection in financial institutions. It demands a predictive analytic solution for combatting money laundering at a regional bank with a time series model.
This caselet requires students to perform an integrated teamwork for the better collection and preparation of data, time series model and its analysis, and for the presentations of key findings.
This caselet should be moderated as a small scale consulting engagement, the instructor requires to perform the role of a client, and he also needs to meet the team on a regular basis to resolve the issues, encountered by the team. This caselet could be run anywhere for a time duration, usually involves, one week to a month, but this mainly depends on the involvement and concentration of the instructor in implementing the assignment.
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