École Nationale Supérieure de
Techniques Avancées

Abstract

Renault Nissan Mitsubishi Motors Group, with more than 10 million vehicles sold each year, represent one of the main worldwide automotive leaders. The car industry is a highly competitive sector. To tackle this, a Competitive Analysis Center (CAC) delivers analysis to engineering teams at Renault Group, to display knowledge about competitive vehicles. A study of this kind is only possible when crossing and analyzing various datasets of different forms: structured tables, verbatims, images). During this internship, the main goal is the realization of a POC to enable engineering teams to use these datasets and answer their needs. A Big Data approach will be used with more than four million parts from teardowns. Besides, different hierarchies and referential will be used during the data crossing.