Case Study: CN improves rail safety through data mining

Case Study: CN improves rail safety through data mining

CN transports more than US$187 billion worth of goods a year across 20,000 miles of railroad in Canada and the United States.

An industry pioneer, CN wanted to analyze huge real-time data sets from hundreds of moving trains to improve rail safety.

Sikilabs helped CN mine the data for critical safety events and visualize what’s happening on each train through user-friendly dashboards.

By harnessing insights from real-time data, CN can now automatically stop unsafe trains in their tracks and prevent rail accidents.

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