September 2018
Intermediate to advanced
412 pages
11h 12m
English
Descriptive analytics, or threshold analytics, does basic computation based on past data to generate some meaningful insights. These analytics consist of very simple computation logic, applied typically over a time range of data from the device's sensors. Parameters for the thresholds are typically given by the device manufacturers, hence identifying any deviation from the threshold can provide valuable insights into the health of the device. Descriptive analytics is useful because it allows us to learn from past data, and understand the health of the machine. In a typical real life scenario some of this data could come from sensors and others could be collected over time from manual readings. ...