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Knowledge Management Optimization
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Functions
- Human Resources
Services
- Data Science Services
The Challenge
L’Oreal, the world’s largest cosmetics company, wanted to optimize the effectiveness of its teams worldwide by improving knowledge transmission at all levels of the group. To achieve this, L'Oreal deployed 'Yammer,' a social web platform developed by Microsoft, for its employees in 2012. Three years later, 23,000 L’Oreal employees were using the internal social network on a voluntary basis. However, to intensify the qualitative aspect of conversations within Yammer, L’Oreal Operations wished to identify conversation leaders and incite actions for business knowledge transmission.
About The Customer
L’Oreal is the world’s largest cosmetics company with over 77,000 employees in 130 different countries. The company is organized by geographic zones and distribution channels, and it has four commercial divisions, as well as a Research & Innovation division and an Operations division. The Operations division counts approximately 20,000 employees across the world. L'Oreal is a global leader in the cosmetics and beauty industry, offering a wide range of products to consumers worldwide.
The Solution
L’Oreal used DSS to create an application that automatically retrieves all Yammer data and generates graphical representations of conversational flows and activity within individual discussion groups over time. It also produces customizable graphs of dynamic interactions to identify opinion leaders. The L’Oreal Operations HR team has direct access to these results and uses them for their operational purposes. The DSS powered application is fully governed by the L’Oreal Operations HR team, and thanks to the data analysis done in DSS, Yammer is increasingly used as a real knowledge transfer tool that allows teams worldwide to freely share their business know-how for better productivity.
Operational Impact
Quantitative Benefit
