Maximize your high-capital assets and facilities by avoiding unplanned downtime.

Keep high-capital assets running at maximum efficiency to meet production goals and boost profitability – without increasing costs or risking failure. Predict problems in advance with machine sensor data that feeds into analytical models. And when there is a problem, diagnose it with root-cause analysis tools so you can take corrective action quickly.

Highly scalable data integration & management

Provides a data model that helps remove barriers imposed by siloed operational systems and enables full visibility into what is happening on the shop floor and out in the field.

Automatic monitoring & alerts

Initiates corrective and preventive action (CAPA) workflows. Case management provides a knowledge repository for standardized problem resolution, enabling auditability for asset and process changes.

Advanced analytics & predictive modeling

Accurately and reliably finds patterns hidden in data that indicate an impending failure or performance degradation. Advanced analytics means faster root-cause definition, higher first-time-fix rates and fewer repeat failures.

Self-service data visualization & KPI dashboards

Provides access to standard and customized reports and KPI dashboards with drillable views, snapshots and trends.

Asset replacement decision support

Supports your repair or replace trade-off analysis. Downtimes, production losses, probabilities of events, etc., are all considered and optimized to find the most profitable course.

Deploy models into live data streams

Processes streaming data in the SAS Event Stream Processing engine. Results are then sent to the application to perform further analyses. (Requires additional software purchase.)

Achieve production targets, lower operating costs, and minimize environment, health and safety risks.

Maximize output. 

Meet production deadlines and revenue goals with fewer unplanned disruptions. Status dashboards and automatic alerts notify operations staff and managers of impending failure so you have time to identify issues and fix them – before they turn into costly problems.

Optimize maintenance cycles. 

Move toward predictive and prescriptive maintenance strategies to address known sources of failure and performance degradation without driving up costs. Avoid costly just-in-case preventive part replacements by identifying leading indicators of breakdowns.

Improve root-cause analysis. 

Quickly and accurately identify root causes using advanced analytics, data mining and data visualization to detect hidden patterns in the data. Troubleshoot performance issues faster and more effectively – and understand why they happened so you can take corrective action quickly.

Reduce downtime. 

Avoid major defects, prevent long downtimes and address potential performance issues before they escalate with automated monitoring and predictive alerts. Workflows and case management capabilities speed problem resolution.

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