Class I railroad leverages Azure and Power BI technologies for hot box analytics
For freight railroads, safety remains the top priority. Ensuring equipment health is essential to providing a safe environment for employees, keep goods moving, and avoid costly damages. Our customer, a large Class I railroad with networks spanning North America, faced risks from not getting to the Hot Box Detectors (HBD) before they malfunction and stop a train.
CloudMoyo designed a modern cloud data architecture with Azure Data Lake and Azure SQL Data Warehouse and leveraged the limitless scale of Azure Stream Analytics, Microsoft Power Flow, and Power BI to align our customers priorities with their IT infrastructure.
Download this case study to find out how our client has reduced the frequency of inspection with an advanced and accurate warning system.
Get the detailed case study here:
CloudMoyo at virtual 2020 KC IT Symposium
Come visit us in the sponsor showcase and at our virtual booth
Date: August 11, 12th 2020