BUSiness deep dives
Discover Business Deep Dives at Albert School
Business deep dives
Over three intensive weeks, our students team up to tackle real-world business projects, guided by executives from top companies, and present their solutions directly to industry leaders.
Week 1
Kick off with a dataset discovery session led by company executives, followed by a Q&A where students dive deeper into the business challenge.
Week 2
Teams work on their solutions with guidance from the company’s data and business experts during a dedicated workshop.
Week 3
Student teams present their solutions to company executives, who select a winning team from the participants.
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.
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Albert School students were tasked with analyzing both internal and external factors that contribute to the success of Carrefour Voyages agencies. By examining sales data, customer demographics, and market trends, students provided actionable insights to help Carrefour Voyages optimize agency performance and drive growth. This project offered valuable experience in retail analytics and strategic decision-making.
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.
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At the Milan campus, Albert School students took on a real-world challenge set by Google managers: crafting a data-driven go-to-market strategy for ProprioGO’s expansion into the Spanish housing market. Students blended market analysis, competitor benchmarking, and the development of acquisition and scoring models to deliver actionable recommendations. This Business Deep Dive provided hands-on experience in digital strategy, data science, and high-pressure problem-solving.
In Paris, Albert School students partnered with Grandir Group—a leading provider of early childhood education and care—to tackle the challenge of recruiting the right talent by improving recruitment processes. Leveraging data analysis and AI, students developed algorithms for candidate screening and process optimization, helping Grandir Group enhance the efficiency and quality of its hiring. This project gave students hands-on experience in applying data science and artificial intelligence to real-world HR challenges.
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.
Faced with a real-world challenge from Moncler, Albert School students analyzed key factors influencing optimal workforce planning across Moncler’s global retail network. By examining operational data and retail trends, they identified actionable insights to enhance staffing efficiency and support Moncler’s international growth. This project gave students hands-on experience in data-driven retail management and strategic workforce planning.
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.
At the Milan campus, Albert School students partnered with Sense Reply—a specialist in digital transformation for the energy sector—to tackle the challenge of anomaly detection in electrical power consumption. Students developed machine learning algorithms to identify abnormal patterns in electricity usage, contributing to the broader goal of energy transition and decarbonization. This Business Deep Dive provided hands-on experience in AI, energy analytics, and the application of data science to real-world sustainability challenges.
In Geneva, Albert School students teamed up with SwissBorg—a leading digital asset management platform—to improve the onboarding experience for new users and optimize KYC (Know Your Customer) processes. Using data analysis and AI, students also explored innovative crypto bundling strategies to incentivize trading and increase user activity. This project provided hands-on experience in fintech, user journey optimization, and the application of AI in compliance and engagement.
In the first inter-campus Business Deepdive at Albert School, students from Geneva and Lyon partnered with Valrhona to analyze commercial performance in key European markets. Drawing on business unit data, students identified actionable insights to support Valrhona’s growth and strategic decision-making. This project gave participants hands-on experience in international business analysis and collaborative problem-solving.
What our partners and students think about deep dives
