Broaden your analytics skillset through a monthlong experiential learning project and work with actual companies using real-world datasets
Why the Analytics Accelerator?
“Having the opportunity to work with real data sets, I was able to gain a deeper understanding of many of the statistical concepts I had learned in my coursework. After working on three Analytics Accelerators, I feel confident in my ability to tackle a real-world, unstructured, data science problem.”
– Ashley Clarke, W’23
How it Works
Who Is Eligible?
Penn and Wharton undergraduate and graduate students who show a demonstrated interest in analytics and possess relevant skills ranging from project management, to client relations, to technical expertise. Technical skills are not required but are a plus.
Kick off the project, meet with your assigned company, and discuss their real-world business challenge.
Working closely with a Wharton mentor, analyze the dataset using programming languages and tools of your choice (i.e., Python, SQL) and create a statistical model that helps to solve the business challenge.
Share your findings and recommendations with your company at the Analytics Accelerator Summit.
Spring Analytics Accelerator – Important Dates
Students must be able to commit a minimum of 10 hours/week for 9 weeks, and must be available on the following dates and times:
Spring 2021 Analytics Accelerator Projects
Fox Entertainment currently serves as Fox’s television production arm. FOX is looking to establish a new marketing mix model to optimize owned marketing strategy for premiere campaigns. Additionally, Fox would like to determine the effects of social media content marketing and how it affects different types of shows with respect to genre, new or returning shows, and seasonality.
McDonald’s is the largest restaurant chain by revenue serving 69 million customers daily in over 100 countries. The restaurant chain would like to answer several questions around organic and paid social media and how it impacts financial performance. Additionally, McDonald’s would like to better understand the impact of an “always on” social media strategy versus a “big splash” strategy in driving sales and brand affinity.
Fall 2020 Analytics Accelerator
Previous Analytics Accelerators
Cubic Mission and Performance Solutions is a manufacturer of secure communication solutions to defense and public safety markets.
Cubic was looking to develop a model to recommend products to customers and recommend ways to appeal to certain customer groups and measure success.
Essity is a global hygiene and health company, with its headquarters in Stockholm, Sweden. The company develops, manufactures and sells products and solutions within hygiene and health.
Essity was looking to develop an in-field pricing recommendation engine for distributors of hygiene products
Ferrero is the third top-selling chocolate confection manufacturer in the world. The company has ambitious growth plans to be achieved through innovation, category expansion, and M&A. The company is family-owned and run.
Ferrero was looking to develop a marketing mix model(s) to better balance resources to power brands and product innovations.
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