Case Study: L'Oréal achieves precise, real-time management of 50M daily data for R&I with Talend

L'Oréal - Customer Case Study

L'Oréal, a global leader in beauty that registers over 500 patents a year and manufactures some 7 billion products worldwide, faced a growing demand for product customization and the need to manage Research & Innovation at scale. The company needed to process and act on more than 50 million pieces of data per day to ensure precise management of R&I projects and faster innovation cycles.

To address this, L'Oréal deployed tailor-made digital platforms for researchers with Talend at the core, backed by a cloud data lake in Azure and Talend’s Real-time Big Data capabilities. The solution collects, secures, and shares research data from product innovation to consumer evaluation, enabling the team to handle high-volume, real-time data flows and improve the precision and speed of R&I operations.

L'Oréal

Philippe Benivay

IS Experimental Data Intelligence