Challenges
Data in the sector
Complex networks, dense operational flows and a service-continuity imperative: data directly feeds the quality of the passenger experience.
- Capacity forecasting, FinOps and cloud cost optimisation
- Self-service analytics for business units (Text2SQL, GenAI)
- Pipelines as code and hardening of operational flows
- Predictive maintenance of rolling stock and infrastructure
By business function
Data and AI use cases
Operations
Capacity forecasting, reliable operational flows, predictive maintenance of rolling stock and infrastructure.
Sales and revenue management
Demand analysis, pricing, sales management by channel and route.
Customer experience
High-traffic consumer platforms, software quality, personalised traveller journeys.
Finance and FinOps
Cloud cost tracking and optimisation, budget management of data platforms.
IT and data office
As-code Azure platforms, self-service analytics (Text2SQL, generative AI), industrialisation of POCs.
References
Visian in the sector
22 assignments in rail and transport.
- SNCF Connect: 24 assignments since 2020, quality, product and big data
- Transavia: 14 assignments on the Azure data platform
- Groupe ADP: DevOps and cloud
- SANEF: 6 IoT use cases across 2,000 km of motorways
- CMA CGM and Marseille-Fos Port Authority: data analysis