Trains run better on data – How Siemens Mobility faces challenges in data analytics to improve service quality and train availability

As a provider of intelligent mobility solutions, Siemens Mobility is constantly looking into improving insight delivery for its customers. In order to monitor and measure train and rail performance, the company implemented its data analytics platform Railigent® for both IoT and legacy data with the goal of optimizing maintenance and operation performance. The analyzed data is turned into accurate insights to customers providing more cost-efficient operations and 100% availability.

The presentation will illuminate the challenging transformation process behind Railigent® and showcase how to:

  • collect every piece of data possible, mostly via sensors at the edge – then clean and prepare it for analysis
  • monitoring operations and automate corrective action and quick decision-making
  • predict failures using AI technology
  • support engineering and maintenance experts through extensive root cause analysis

Markus Hollfelder

Senior Key Expert and Technical Product Owner
Siemens Mobility GmbH


A new normal for Data Management – Data Mesh as the super fuel for better data products

Going beyond the use cases in the lab – How Continental set up the right organization and infrastructure for industrialized AI & Analytics

Democratizing Data Science in the Cloud - How Unilever creates new Data Science capabilities in production and packaging with an in-house cloud platform


We would be pleased to welcome you at the Big Data Minds Europe.