Data holds immense power that can pose a huge effect on any business, IoT Analytics is used to make sense of the vast amounts of analog data.
This for example can include the determination of key performance indicators in a certain application where one may be interested in viewing errors or irregularities in real-time.
To put it differently, analytics involves converting raw data into useful insights that later are interpreted or analyzed to drive decision making.
Data analytics helps determine vital business insights; deep learning models can be used for predictive analysis and make useful business decisions.
Analytics requires storage power and intelligent computation to be able to make sense of any data, tasks such as this can be hosted on the cloud, depending on the IoT architecture.
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