IDG Contributor Network: 3 types of IoT platform analytics

IDG Contributor Network: 3 types of IoT platform analytics

Enterprises rely on their IoT platforms for many services. One of the most important is analytics. In layman’s terms, IoT analytics is the science and art of trying to find patterns in the massive quantity of data generated by connected assets. Or a more careful definition from MachNation’s IoT platform testing lab might be, analytics is the ability of a platform administrator or operator to monitor trends, identify abnormalities, and produce business insights from ingested IoT data.

As a first step to identifying a best-in-class IoT platform for analytics, an enterprise should deploy the various platform analytics services. In particular, the enterprise should at least configure an on-platform analytics service for live streaming and stored/historical data; configure a platform for live streaming external analytics service integrations; and then export on-platform data to an external analytics service. These configuration tests will help an enterprise determine if an IoT platform vendor has designed exceptional or lackluster management tools and usability into its platform.

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