Beginning in late February, a class of student-consultants in groups 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 modeling, machine learning, and visualization.

Based on the information that you provide, groups will develop predictive models and managerial 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.
• Investigate predictive models to understand trends in sales, attrition rates, and profits that impact your business.
• Propose new ways to visualize data through tables and plots that can provide new insights for managers.