  Emergence of uniquely addressable embeddable devices has raised the bar on
Telematics capabilities. Though the technology itself is not new, its
application has been quite limited until now. Sensor based telematics
technologies generate volumes of data that are orders of magnitude larger than
what operators have dealt with previously. Real-time big data computation
capabilities have opened the flood gates for creating new predictive analytics
capabilities into an otherwise simple data log systems, enabling real-time
control and monitoring to take preventive action in case of any anomalies.
Condition-based-maintenance, usage-based-insurance, smart metering and
demand-based load generation etc. are some of the predictive analytics use
cases for Telematics. This paper presents the approach of condition-based
maintenance using real-time sensor monitoring, Telematics and predictive data
analytics.
