SAS Asset Performance Analytics
Achieve production targets, lower operating costs, and minimize environment, health and safety risks.
Key features
Keep high-capital assets running at maximum efficiency to meet production goals and boost profitability – without increasing costs or risking failure. Predict and proactively address future problems with machine sensor data that feeds into analytical models. Use root-cause analysis tools to diagnose problems and 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
Lets you deploy predictive analytics models in batch or real time and sends alerts to appropriate stakeholders.
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.
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.
Cloud native
Compatible with cloud technologies – including Docker and Kubernetes – for large-scale, elastic, multitenant, distributed services. Ready-made to take advantage of the large volumes of data generated by the IIoT.