_dss success story

With the right information and the right internal processes, companies successfully increase operating margins and significantly reduce costs all the while improving business, supply chain, and team efficiency. Whether you are an e-commerce retailer, an industrial supplier, or a transportation service provider, find out how our customers optimize company processes and internal logistics by using DSS for comprehensive data analysis.

Knowledge Management Optimization

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Data Analysis to Improve Knowledge Management

About Our Customer L’Oreal is the world’s largest cosmetics company with over 77,000 employees in 130 different countries. Organized by geographic zones and distribution channels, the L'Oréal group has four commercial divisions, as well as a Research & Innovation division and an Operations division. The latter counts approximately 20,000 employees across the world. Industry Cosmetics & Beauty Market International Use Case Knowledge Management Optimization

Challenge From Social Network to Knowledge Enabler To optimize the effectiveness of its teams worldwide, l’Oreal Operations division wishes to improve knowledge transmission in all levels of the group. L'Oreal thus deploys "Yammer," a social web platform developed by Microsoft, for its employees in 2012. Three years later, 23,000 l’Oreal employees use the internal social network on voluntary basis. To intensify the qualitative aspect of conversations within Yammer, l’Oreal Operations wishes to: •  identify conversation leaders •  incite actions for business knowledge transmission

Solution Sort, analyze, & automatically view Yammer generated data L’Oreal uses 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; •  Customizable graphs of dynamic interactions to identify opinion leaders. L’Oreal Operations HR team has direct access to these results and uses them for their operational purposes. Results HR Teams Empowered to Intensify Knowledge Transmission With the application, L’Oreal successfully identifies three types of leaders: •  The platform brokers who are "global" Yammer brokers •  The group brokers who are the "local" Yammer brokers •  The "Dealers" are those who "move" conversations from one focus group to

another, ensuring the proper transmission of information within the platform. Today, the DSS powered application is fully governed by l’Oreal Operations HR team. 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.

www.dataiku.com

“We adopted Data Science Studio for its capacity to analyze pre-selected varieties of data and to visually and dynamically represent the results. With DSS, we’ve successfully developed a powerful Big Data reporting platform that our Human Resources team uses on a daily basis to improve knowledge management.”

Olivier Amprimo Director, Collaborative Development - HR - Operations

www.dataiku.com

Yammer generated data

Identify thought leaders

Yammer becomes knowledge transfer tool

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Clustering of Operational Influencers

Daily Monitoring by

HR Teams

Improved Operational Efficiency

Technology

Time

Team

Models K-means clustering Gaussian Mixture Model Mean Shift DBSCAN

Built by L’Oreal_

_Powered by DSS