BUSiness deep dives
Dive deep into projects and solve real challenges
Business deep dives
Throughout three intensive weeks, our students work hand in hand with executives from top companies on real life projects
Week 1
Dataset discovery session between company executives and the students
Q&A session
Week 2
Workshop to help the students solve the case with members of the data & business teams of the company
Week 3
Students present the solution to an executive of the company
A winning team is chosen betwee the participating students
What our partners and students think about deep dives
What our students have been working on
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Tasked by CMA CGM, a group of Albert School students optimized maritime routes to reduce costs and carbon footprint while maintaining high service levels. They analyzed graph connectivity and proposed routes that avoid high-risk zones, taking into account security, regulatory, and commercial considerations. This strategic input helped CMA CGM enhance efficiency and sustainability. Through this project, students gained practical experience in maritime logistics and optimization.
A comprehensive analysis of Edmond de Rothschild funds over the past years was conducted by Albert School students to identify factors influencing collection performance. They provided insights on optimizing fund collections, suggesting targeted strategies per region. This analysis helped students gain valuable experience in financial analytics and strategic decision-making.
During the BDD, our students meticulously analyzed historical sales data to craft Louis Vuitton's Summer 2023 leather goods collection. They optimized product models, colors, materials, launch dates, and pricing to maximize revenue, minimize unsold inventory, and maintain desirability. Their data-driven approach provided actionable insights, enhancing Louis Vuitton's business strategy, while students honed their analytical and strategic planning skills, gaining invaluable industry experience.
Students from Albert School undertook a Business Deep Dive with Nestlé, devising an AI-driven virtual assistant to streamline administrative tasks for field sales teams. This innovation helped Nestlé's operational efficiency while providing students with practical experience in AI integration and real-world business problem-solving. The project bridged classroom learning with professional application, fostering invaluable skills for the students' future careers.
