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

This caselet may be utilized to improve students' comprehension and appreciation of data analytics for fraud detection in the financial institutions.It demands a probabilistic analytic solution, in form of a time series model, for subverting money laundering at a regional bank.

The nature of the assignment necessitates successful teamwork on data cleaning and preparation and on modeling/analysis of time series, in addition to presenting crucial findings.

The caselet should be moderated as a small scale consulting engagement, together with the instructor assuming the role of the "client," meeting together with the engagement team for routine status updates, and attending to questions the team might have. Ideally the case scenario should run from one week to a month, determined by how meticulously the instructor will intend to implement the duty. The caselet includes an accompanying dataset.

PUBLICATION DATE: November 01, 2014 PRODUCT #: BAB260-HCB-ENG

This is just an excerpt. This case is about LEADERSHIP & MANAGING PEOPLE

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