Dataiku Case Studies Knowledge Management Optimization

Edit This Case Study Record

	Knowledge Management Optimization Dataiku

Knowledge Management Optimization

Dataiku

Technology Category	Platform as a Service (PaaS) - Data Management Platforms
Applicable Functions	Human Resources
Services	Data Science Services
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

Technology Category

Platform as a Service (PaaS) - Data Management Platforms

Applicable Functions

Human Resources

Services

Data Science Services

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 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.

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.

Impact #1	Identified three types of leaders: The platform brokers who are 'global' Yammer brokers, the group brokers who are the 'local' Yammer brokers, and the 'Dealers' who 'move' conversations from one focus group to another, ensuring the proper transmission of information within the platform.
Impact #2	The DSS powered application is fully governed by l’Oreal Operations HR team.
Impact #3	Yammer is increasingly used as a real knowledge transfer tool that allows teams worldwide to freely share their business know-how for better productivity.

Impact #1

Identified three types of leaders: The platform brokers who are 'global' Yammer brokers, the group brokers who are the 'local' Yammer brokers, and the 'Dealers' who 'move' conversations from one focus group to another, ensuring the proper transmission of information within the platform.

Impact #2

The DSS powered application is fully governed by l’Oreal Operations HR team.

Impact #3

Yammer is increasingly used as a real knowledge transfer tool that allows teams worldwide to freely share their business know-how for better productivity.

Benefit #1	23,000 L’Oreal employees use the internal social network Yammer.
Benefit #2	The application automatically retrieves all Yammer data and generates graphical representations of conversational flows and activity within individual discussion groups over time.
Benefit #3	The application produces customizable graphs of dynamic interactions to identify opinion leaders.

Benefit #1

23,000 L’Oreal employees use the internal social network Yammer.

Benefit #2

The application automatically retrieves all Yammer data and generates graphical representations of conversational flows and activity within individual discussion groups over time.

Benefit #3

The application produces customizable graphs of dynamic interactions to identify opinion leaders.

Download PDF Version

Overview

Knowledge Management Optimization

Operational Impact

Quantitative Benefit