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L’Oréal can be found in 130 countries across the globe and have products are in every area of beauty care from glossy lipsticks, eye shadows and blushes to hair care products.

The L’Oréal brand was originated back in 1909 by a young chemist who researched and manufactured the first hair dye, which he then sold to Parisian hairdressers. Only 10 years later the company had gone international. And women all over the world knew the new L’Oréal brand.

But beauty is perceived differently all over the globe. Some prefer soft, light skin, and others prefer tan, bronzed skin. Some find curly hair beautiful, some prefer straight hair. Some cultures accentuate their lips, while others accentuate their eyes. It is these differing perceptions of beauty that requires L’Oréal to offer localized products in each of the markets they operate within.

These differing markets bring with them a major challenge managing product information. That’s several thousand international products, each with over 400 attributes that are used to describe them. This product information impacts internal departments such as manufacturing, production and supply chain; ultimately affecting the customers. In order to drive business value across these areas, L’Oréal needed consistent and readily accessible product information to keep giving customers around the world what they wanted.

So, they needed a master data management project.

The scale and complexity of the project was huge. L’Oréal is a global organization with brands and portfolios delivering different product types to a vast and varied customer base with different geographical locations. So the real challenge for the data management team was to understand the complex organizational structure and how that links to their business processes.

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