Armacord Incorporated: Combatting Money-laundering Using Data Analytics Harvard Case Solution & Analysis

This assignment requires a predictive analytic techniques and solution, in the form of a time series model to combat money laundering at a regional bank. This caselet will prove to be helpful for students to enhance the comprehension of data analytics for fraud detection in financial institutions.

For data preparation, cleaning and modeling with the analysis of time series, and for the presentation of the major findings, this study requires an effective and integrated teamwork. The caselet should be moderated as a small scale consulting engagement and requires the instructor to perform the role of a client, who has to remain up to date through regular meeting and providing the solutions to the questions that the team may have.

This caselet could be implemented for a time period of one week to a month, which depends on the concentration and efforts of the instructor. Along with the caselet there is also a dataset.

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