See how we model historical data at rest to find pressure and current thresholds that have led to equipment failure, then screen real-time streaming data for incidence of these thresholds being crossed to identify, alert, and prevent failures from occurring.
TIBCO & StreamBase: Sensor Analytics for Industrial Equipment Management
Months to develop a real-time system with TIBCO Streaming vs. open source
centralized source of information, down from 10
In electricity consumption via analytic-driven asset utilization
Thousands of data points per car, per second understood with TIBCO Spotfire