Cosmetics giant L’Oréal is aiming to boost its research and innovation strategy by building a data lake within a private network on Microsoft Azure to give its teams access to a raft of real-time scientific, Internet of Things, and marketing data.
The data lake, powered by cloud data integration company Talend, processes 50 million pieces of data per day in real-time by connecting all types of databases, structured laboratory data, and heterogeneous and 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 team to consolidate and prepare data to facilitate researchers’ analyses and help them base their conclusions on reliable, high-quality data.
The first operational use case developed for the finance department was on the economic management of research. The new dashboards managed all KPIs for research-related activities and associated costs, such as tests for certification and qualification.
Since the commissioning of the data lake, use cases have multiplied. To meet business needs, the company has deployed data marts on-demand to produce even more knowledge on many subjects, such as the microbiome (micro-organisms living inside and on the surface of the epidermis) or the exposome (the effect of pollution on the skin).
Toxicologists have simplified, autonomous, and rapid access to quality data to support the development of new formulas.
For consumer evaluations, all the videos that will be acquired during testing sessions to evaluate the effectiveness of the products are integrated into the data lake, allowing for almost instantaneous image processing and manipulation.
"In the globalised 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. Our vision is to deliver services to our businesses that they have not yet considered," said Philippe Benivay, IS Experimental Data Intelligence at L’Oréal.
"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. Talend 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."