This case study shows how Siemens Mobility uses Spotfire analytics to improve train availability, safety, and lifecycle management. Through its Railigent platform, Siemens analyzes real-time IoT and legacy data from up to 2,000 components per train, collecting approximately 150,000 data points per second. Spotfire enables predictive maintenance, data cleansing, and edge analytics, helping reduce unplanned downtime by 30–50% and lower lifecycle costs by 30%. Customers receive actionable insights and automated alerts before failures occur. The open, cloud-native architecture on AWS supports rapid innovation, partner collaboration, and scalable transportation analytics.

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