In groups of 5, student-consultants will work 45+ hours assisting your company by providing analytical research and recommendations tailored to one of your company’s data opportunities or challenges. They will employ analytic and statistical software such as Tableau, SAS, Micro-strategy, Power BI or other methods to inform their decision-making process.

Some examples include, but are not limited to:

• Analyzing e-commerce data to understand buyers and buying habits across several selling platforms,
• Understanding profitability, retention, referrals, and attrition rates for your customers
• Creating comprehensive dashboards to enhance your data visualization for customers, teams, and executives,
• Prescriptive analytics using customer segmentation
• Customer relationship management (CRM), personalization
• Online recommendation systems
• Web mining
• Product assortment, and designing lead scoring systems to understand opportunities worth pursuing and developing predictive sales model, etc.

Students will complete the data analysis and present their findings in final a presentation (virtual or in-person.) They will clearly identify the challenges the organization is facing relevant to the data, uncover the root cause of the identified challenges, propose viable solution(s), and recommend the best course of action as well as justify the position through metrics. Students will also provide tangible copies of their work as it pertains to their individual project.