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Analytics Accelerator Case Studies

Data Can Lead to More Smiles
Students were asked to understand Align’s marketing campaign performance on sales for different types of customers in the dental industry and to provide Align with data observations and actionable recommendations.

Social Media Users Are Lovin’ It
McDonald’s, the world’s largest restaurant chain by revenue, sought to examine how they could best utilize social media activities to drive sales, boost engagement, and create positive brand sentiment.

Customers of A Feather Engage Together
Students were asked to build a statistical model for NeuroFlow, SaaS healthcare technology and analytics company. The goal was to identify users at high risk of churn, which would help inform product design, promotional offerings, etc. to proactively engage and retain these users.
About the Analytics Accelerator
Every fall and spring semester, Wharton AI & Analytics for Business hosts the Analytics Accelerator, an experiential learning program that pairs students with a company to solve a real-world business problem using the company’s actual datasets and the latest techniques including machine learning and AI.
Case Studies at a Glance
White Papers

Rethinking Analytics – Dealing with the K
Analytics is increasingly becoming the backbone of decision making across functional areas and industries the world over. We believe that this capability, which is often a key differentiator, is set to play a significant role in the new economic order established in the aftermath of the Covid-19 pandemic.

The Markets in Motion Study: What Every CMO Needs to Know to Make Marketing Decisions During The Covid-19 Recession
This study is designed to help CMOs learn from the past and make the best possible decisions about where, how, and when to invest to maximize firm revenues, profits, and share.

Voice Analytics and Artificial Intelligence: Future Directions for a post-COVID world
As the adoption of IoT and voice-enabled technology has become mainstream, we see a post-COVID world of innovation in voice technology products and analytics, and disruption in traditional growth of ecosystem to support it.