Executive summary

A global cosmetics company of this scale needs fluid access to all their data.

Founded in 1909 and headquartered in Clichy, France, L’Oreal S.A. is a cosmetics and beauty company that develops and manufactures products for hair care, hair color, and skin care in addition to cosmetics and fragrances for the consumer, luxury, and professional markets. Present in 130 countries, L’Oreal must tailor thousands of products for each of their markets. That much product data is hard to organize and easy to lose track of.


IBM’s master data management (MDM) solution streamlined data for 200,000 products.

Using a master data management (MDM) solution and a cognitive computing platform, the firm can perform fast, intuitive searches to find specific product data. Gaining actionable insight into its vast data repository gives L’Oreal a competitive edge and helps build profits through faster product launches, better on-shelf product availability and regulatory cost savings.


L’Oreal achieved a more streamlined data system, increased data quality, and decreased time spent creating regulatory compliance reports.

L’Oreal can now map data about more than 200,000 products from approximately 200 databases into a single data management and retrieval system. Additional data indexing, rationalization, and synchronization increases overall data quality by 40 percent, helping the company meet its regulatory and environmental reporting requirements. The company expects to significantly improve time to market of new products by reducing time needed to gather the information required to create regulatory compliance reports by almost 90 percent, from two months to less than one week.

Solution components


  • InfoSphere Master Content for InfoSphere Master Data Management Server
  • Watson Explorer
  • WebSphere MQ


  • Power E870


  • GBS AD&I
  • iX&M
  • Strategy, Creative & Design


  • InfoSphere Master Data Management Enterprise Edition
  • Consumer Products: Smarter Supply Networks
  • IBM Analytics
  • Master Data Management

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