L’Oréal uses Talend to power research department’s data lake on Azure

L’Oréal is using Talend to power their research and innovation (R&I) department’s data lake in a private IaaS environment on Microsoft Azure.

With Talend, L’Oréal’s R&I teams can ingest its variety of scientific, IoT, and marketing data to power cutting-edge analysis and new product innovation. 

Philippe Benivay, IS Experimental Data Intelligence at L’Oréal, said that in a globalized beauty industry, L’Oréal must innovate ever faster to meet the desires and needs of customers looking for new products and services that respect their bodies and the environment.

“Data and artificial intelligence allow us to move faster to create cosmetic products that meet the infinite diversity of beauty needs and desires of consumers around the world,” Benivay said.

“Talend, in our private cloud environment on Microsoft Azure, helps us transform R&I into a value-added service that can leverage all research data to deliver the best in cosmetic innovation in terms of quality, efficiency, and safety,” he added.

By deploying Talend Data Fabric, L’Oréal is able to connect all types of databases, structured laboratory data, and very heterogeneous and sometimes raw data sources, such as robotic measurement or images data.

Talend’s solution allows L’Oréal to incorporate intelligent algorithms directly into data integration flows in the form of APIs. The data lake enables the R&I to consolidate and prepare data to facilitate researchers’ analyses and help them base their conclusions on reliable, high-quality data.

The data lake processes 50 million pieces of data per day. With Talend, data is available in real-time, and the data lake is refreshed several times a day, which allows more precise management of sensitive research projects.

The first operational use case developed for the finance department was on the economic management of research. Since the commissioning of the data lake, use cases have multiplied at L’Oréal.