IoT analytics guide: What to expect from Internet of Things data
Companies are gathering huge volumes of information from all kinds of connected of objects, such as data about how consumers are using certain products, the performance of corporate assets, and the environmental conditions in which systems operate. By applying advanced analytics to these incoming streams of data, organizations can gain new insights that can help them make more informed decisions about which actions to take. And with companies placing IoT sensors on more and more objects, the volumes of incoming data will continue to grow.
“Sensor-based computing is a core trend in digital transformation,” says Maureen Fleming, an analyst at research firm IDC. “Operational intelligence using condition-based monitoring assures organizations about the health of sensor-attached devices, machines and systems. Depending on the use case, applying machine learning [ML] to sensor data is aimed at predicting probability of outages, propensity to buy, health problems, etc.”