SNCF Focuses SAS® big data analysis on understanding passenger flow

SNCF Gares et Connections_ img_corporate_gares_connexions_3SNCF Gares and Connexions, the French national railway station business unit, selected SAS® analytics for key analysis in Project Magnolia, a new program to meet the rising needs of its passengers. The project will use SAS Visual Analytics, SAS Visual Statistics and SAS Office Analytics.

Gares and Connexions is the largest branch of the SNCF (Société Nationale des Chemins de fer Français). The unit will commercially develop the 3,029 railway stations, which comprise 180,000 square meters of commercial space and revenues of 1.2 billion euros ($US1.4 billion), to improve passenger flow and security. Phase one of this big data project aims to understand the annual flow of 2 billion passengers, who pass through stations and connect with other transport, such as bus, coach, taxis and bike shares.

Evolving passenger expectations have opened numerous opportunities to improve service and grow revenues for SNCF. As stations alternate between transport access points and waiting zones, they become critical to fulfilling SNCF’s promise of door-to-door service.


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