Armacord Incorporated: Combatting Money-laundering Using Data Analytics
This caselet can be utilized to enhance students' understanding and appreciation of data analytics for fraud detection in financial institutions. It requires a predictive analytic solution, in the form of a time series model, for combating money laundering at a regional bank. The nature of the assignment necessitates effective teamwork on data cleaning and preparation and on modeling/analysis of time series, as well as in presenting key findings. The caselet should be moderated as a small-scale consulting engagement, with the instructor assuming the role of the "client," meeting with the engagement team for regular status updates, and attending to questions the team may have. Ideally, the caselet should run anywhere from one week to a month, depending on how meticulously the instructor will plan to implement the assignment. The caselet comes with an accompanying dataset.