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Learn moreThe Asset Intelligence and Analytics module supports fleet engineers to solve the most challenging problems ranging from defect investigations, optimising maintenance regimes to predicting failures. Integrating data from multiple sources (i.e. asset records, work orders, inspection records, train telemetry, wayside equipment, operator systems, environmental sources) and transforms this into a single accessible data source.
Pre-packaged reports, analytic models, and dashboards for improved maintenance management in eight areas of focus; and pre-existing dashboards for KPI measures and performance/penalty regimes.
A cloud-based data-platform, consumed as a service, with the capabilities to support the needs of warehousing, storage, or compute as well as integration of rail specific data points and channels.
A resource-based service, providing data scientists’ who have over 15 years’ experience in working to solve problems in rollingstock maintenance and management.