Increase operational efficiency and reduce costs by efficiently identifying bad actors and streamlining maintenance teams visiting towers to resolve gauge issues.  Sensor data quality is very important for business users to validate information before it is sent to other lines of business applications for further processing and daily reporting. 

There are a few challenges with quality and reliability of sensor data due to various issues in the field and network. Additional data driven analytics are required to detect anomalies and quantify them.