Case Study: Canadian National Railway achieves faster BI and improved customer service and safety with WhereScape RED data warehouse automation

CN Rides Data Warehouse Automation to Better Customer Service and Safety

Canadian National Railway (CN), the largest railway in Canada, faced rapidly growing data volumes from GIS and sensor sources and a complex legacy BI environment (SAP, IBM DB2, Netezza, BusinessObjects) that made delivering timely analytics difficult. To support faster insight and advance predictive maintenance for safety and cost reduction, CN adopted WhereScape and its WhereScape RED data warehouse automation for automated, iterative rapid prototyping.

WhereScape RED automated CN’s development and prototyping, allowing the team to integrate multiple data sources and have Tableau working on real CN data within a week, produce a 10 million‑row extract and deliver the next iteration the following day, and even run five prototyping cycles in one day. WhereScape’s platform dramatically increased delivery velocity, helped regain business trust, improved governed self‑service BI, and accelerated CN’s predictive analytics initiatives to better serve customers and enhance safety.

Canadian National Railway

Alain Bond

Business Intelligence Manager