IoT Analytics is emerging area. It's basically use of sensor data to extract useful and meaningful actionable intelligence.
Challenge of IoT Analytics lies in it's layered approach which involves signal processing, feature extraction , machine learning and building recommendation engine. Besides most of it have to be done locally close to sensors which is known as edge Analytics. Cloud Analytics in Public cloud is used for the purpose of mostly mobility and API integration with ERP and management system.
In Zreyas we have been doing extremely deep cloud and edge based IoT Analytics since 2012. We understand sensor data and how to leaverage them to solve practical problem. We also know how to use edge Analytics effectively for it.
We have worked with Electrial ( Voltage, current, power factor , energy) , mechanical ( vibration, magnetic field , gyroscope), ambients ( temperature, pressure, humidity) and environmental ( SOx, ppm, NOx, COx) signals.