Redesigning the future of beauty with data
The digital context creates an increasing demand for product customization. To meet these challenges and innovate, we have deployed new tailor-made digital platforms for L’Oréal researchers, with Talend at the heart, to facilitate the management of more than 50 million pieces of data per day.
Support product research and innovation with a state-of-the-art data lake
50 million data entries
90% time savings
for processing product evaluations
Tailor-made digital platforms
arming L'Oréal researchers with 100 years of product knowledge
With more than 500 patents filed each year, 7 billion products manufactured worldwide, and 36 international brands, L’Oréal is the world’s leading cosmetics group. Each year, several thousand formulas are developed by the Research & Innovation (R&I) teams at L’Oréal.
To put new products onto the market while rigorously and scientifically demonstrating their safety and efficacy, R&I must first be able to compile all data related to the physico-chemical characterization and definition of formulas and raw materials (laboratory structure data), and take into account all information concerning the performance of the products as perceived by consumers from every continent in real conditions and in real time.
“Today, we only have two ways to stay above the fray. We must offer our customers products of impeccable quality, and we must be increasingly innovative,” explains Philippe Benivay, IS Experimental Data Intelligence.
To meet this challenge, the cosmetics specialist has deployed a governed data lake to collect, protect, and share research data, from product innovation to consumer assessment data.
“Our digital acquisition platform captures very heterogeneous and sometimes raw data sources, such as robotic measurement data. To better understand subjects such as the microbiome (microorganisms living inside the epidermis and on its surface), or the exposome (the effect of pollution on the skin), we are also led to seek out and integrate more and more external data: IPSOS/Nilsen, scientific publications and research from universities or companies, open data, contextual weather data or pollution indexes,” Benivay emphasizes.
New dashboards, powered by Talend, aim to better manage all of the key performance indicators (KPI) of activities related to research and the associated cost.
Since the construction of the data lake, the use cases have multiplied and to respond to them, L’Oréal is able to deploy on-demand data marts according to business needs, to facilitate the design of new products.
“Our vision is to use this database platform to provide all our divisions with services and tools that they can still barely even imagine today. The transformation is phenomenal!” Benivay proudly concludes.