Broaden your analytics skillset through a monthlong experiential learning project and work with actual companies using real-world datasets
Spring Analytics Accelerator – Important Dates
Students must be able to commit a minimum of 10 hours a week for 8 weeks. The application closes January 22.
Spring 2023 Analytics Accelerator Projects
FOX Entertainment, a premier national television broadcaster, is renowned for its combination of appealing primetime entertainment and powerful sports programming.
Hearst is a leading global, diversified information, services, and media company with operations in 40 countries.
Petco is an industry-leading health and wellness company focused on improving the lives of pets, pet parents, and our partners.
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.
“Having the opportunity to work with real datasets, 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
Why the Analytics Accelerator?
As a part of the spring 2022 Analytics Accelerator, a team of Wharton and Penn Engineering students spent six weeks helping the newly merged Philadelphia Orchestra and Kimmel Center, Inc. identify opportunities to strengthen audience growth and attendance frequency by exploring their combined data.
Align Technology is a global medical device company that specializes in creating innovative dental devices. Align is interested in partnering with a student research team to leverage marketing campaigns of their product Itero, a computer-imaging technology, to maximize sales to different types of dental clients.
Lowe’s Companies, Inc. is an American retail company specializing in home improvement. Lowe’s is seeking out the assistance of a student research team with the goal to strategically increase sales by using machine learning models to decide how to optimally stock the backroom of stores.
Master Kong is the largest instant noodle producer in China, specializing in the production and distribution of instant noodles, beverages, and cakes. Master Kong is interested in creating a sku recommendation engine to increase online sales of noodle products by identifying gaps in current consumer needs.
Analytics Accelerator Case Studies
Neuroflow is a SaaS healthcare technology and analytics company enabling behavioral health access and engagement to improve outcomes, overall wellness, and costs of care.
Neuroflow was looking to build a statistical model to identify users at high risk of churn, which would help inform product design, promotional offerings, etc. to proactively engage and retain these users. They were also looking for recommendations for app development and user experience.
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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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Wharton Students Help Zillow Turn Data into Results
The Zillow Analytics Accelerator project promised to be a tough one. The online real estate company wanted to find meaningful patterns in the copious data it collects on site visitors, so the leaders turned to AI and Analytics for Business for help. Keshav Ramji, W’24 EAS’24, who is earning a dual degree in economics and computer science, was one of those students of the students on the team.
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Keeping Viewers Glued to Their Seats at the 2021 Analytics Accelerator
An MBA and undergraduate student team analyzed data from FOX Entertainment to help inform data-driven promotion strategies for marketing their TV shows.
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Students Offer Sweet Solutions to Data Problems at the Analytics Accelerator Challenge
How strong is the halo effect when it comes to selling candy and gum? This was among the many questions students set out to answer during the third annual Wharton Analytics Accelerator, presented by AI and Analytics for Business (AIAB).
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