Beginning in May, a class of student-consultants in teams of four will spend 60 hours per team performing a thorough investigation of data sets to tackle a managerial question. Tools such as Python and Tableau will be leveraged for data analysis, predictive modeling/machine learning, and visualization.

Based on the data and information that you provide, the teams will aim at deriving actionable insights into key aspects of your organization. Each team will propose solutions and implementation strategies to improve your decision-making processes and outcomes.

Example projects include, but are not limited to:

• Analysis of customer segmentation relative to different products and services, to enhance marketing campaigns and refocus your products/services.
• Investigation of predictive models to understand trends in sales, attrition rates, and profits that impact your business.
• Development of ways to visualize data through tables and plots that can provide new insights for managers.