Sensor analytics is statistical analysis produced by sensors used in manufacturing, computer systems, transportation, or medical care. The goal of sensor analytics is to detect anomalies that can be used to predict future events and prevent errors and failures.
This can be failures in production facilities, alarms in medical intensive care units, or overheating of computing equipment.
Sensor analytics can be descriptive analytics, predictive analytics, or prescriptive analytics. In descriptive analytics, the development and current status of the key performance indicator( KPI) is recorded; in predictive analytics, the possible further development of the KPI index is determined; and in prescriptive analytics, the optimal analysis is calculated from the two previously determined KPI values.