IoT Analytics is the process of collecting and analyzing data produced by connected devices, sensors, and machines. It helps turn large amounts of device data into useful information about performance, usage, and changing conditions. The process generally involves gathering data from connected devices, organizing it, identifying patterns, and using the results to support decisions or automated actions.
For example, a smart building can analyze data from temperature, lighting, and occupancy sensors to understand how spaces are being used and adjust energy consumption accordingly. This can reduce wasted resources while maintaining comfortable conditions. IoT Analytics is useful in smart buildings, agriculture, transportation, healthcare, manufacturing, and energy management. It can help identify trends, improve efficiency, reduce operating costs, and support better decisions based on real-world data.
