10h11 Designs Massive Dashboard for Improved SNCF Transparency
10h11 designed the largest dashboard in Europe for SNCF, featuring 10 giant screens displaying real-time data from over 100 datasets to improve transparency and communication.
Summarizing this work in a few lines is delicate, at the same time a few figures can enlighten you:
10 screens
The biggest dashboard in Europe counts 10 giant screens, each screen having its own business theme. Security, social networks, travel, press, we worked with each entity to clean, select, and visualize data.
100 datasets
In the end, the dashboard has more than 100 processed data sets with heterogeneous sources. API, Open-data, SQL, Excel, we have centralized everything for optimal reliability.
1 artificial intelligence engine
Yes, we succeeded in integrating a semantic recognition AI engine to automatically sort and process information flows. An engine resulting from our R&D work, a successful engine deployed in 23 additional Dashboards within SNCF.
Beyond its gigantism, This dashboard made it possible to structure SNCF's global data approach. By having different entities work together on the same medium, the whole group has progressed in understanding its data architecture.
Let's end with a technological wink: Power BI. Microsoft technology, Power BI is the ideal tool to get rid of licenses while having a tool on which to train your teams. The choice of security and quality for all companies that ask us to deploy with this new tool.
Related Articles
Anthropic and Claude: What Early User Feedback Reveals About ROI
Between marketing promises and real-world results, what do Anthropic's models actually deliver? A data-driven analysis of use cases that work and measurable ROI.
How to Launch a Data Project in SMBs Without Breaking the Bank: The Step-by-Step Guide
You don't need millions to turn your data into a growth driver. Discover how a small business can launch a data project on a tight budget, starting small, hitting your targets, and creating value fast.
Data Mesh: When Autonomy Threatens Consistency
Data mesh promises agility through decentralization. But how do you prevent each team from building its own standard while maintaining overall consistency?