Alessio Marino
Driving Business Value with Data: A Data Engineering Case Study at L’Oréal.
Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2026
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Abstract
In the contemporary digital economy, the exponential growth of data presents both opportunities and challenges for organizations. The primary challenge lies in collecting data and in transforming it into actionable information that can effectively guide strategic decisions. This is the case for L’Oréal Group, the world’s largest cosmetics group, which has decided to put data at the centre to sustain its competitive advantage, and become a data-driven enterprise, making informed choices through business intelligence and with the help of machine learning and other cutting-edge technologies. This research underscores the critical contribution of Google Cloud services in facilitating this transformation, notably in guiding the shift from on-premises infrastructures toward distributed cloud architectures.
Furthermore, it investigates critical stages of data engineering, including the design and implementation of data visualization solutions, to convert complex datasets into insightful reports and to optimize operational costs
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