Advanced Analytics

Our real-time machine learning systems consider complex events and constraints to continuously predict asset failure times and optimize operations

The Most Accurate and Comprehensive Analytics Available

Descriptive
Analytics

Provides a summary of what happened, usually for a set of predefined periods and other attributes. Useful for reviewing historical performance and understanding areas for operational improvement.

Diagnostic
Analytics

Identifies why, when, and where something happened, commonly to determine the root cause of an operational failure or unexpected event. Useful for identifying effective remediation alternatives.

Predictive
Analytics

Identifies a probable outcome based on assessing past behavior and likely operating conditions in the future. Useful for taking preventative measures, estimating remaining useful life, and reducing the impact of unplanned events, theft, and other scenarios.

Prescriptive
Analytics

Identifies specific actions to optimize processes, routes, schedules, and plans. Useful for planning under uncertain conditions, scheduling and positioning resources, and determining the most cost-effective routes.

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