[vc_row][vc_column][vc_column_text]Edge Analytics is an approach to data collection and analysis in which automated analytical computations are performed on data close to the source instead of waiting for the data to be sent back to a centralized location. These analytical services can run on a router, switch, gateway, or server in the operational environment. Analyzing data as it is generated decreases latency in responding to emerging conditions, and increases scalability by filtering out low-value data and reducing the network burden of moving large volumes of data.By distributing data processing and analytics out to the edge of the network, you can more easily apply a rich set of analytics on site with the flexibility to start small and scale-up and still maintain continuous operations even if the network goes down.

Edge Analytics provides the opportunity to implement analytics on an Edge device that is deployed at the ‘edge’ of a network where data from connected devices is collected. This allows for Actions to be taken against the device data prior to that data being forwarded on PAASMER IOT Platform in the Cloud. Analyzing data at the Edge can decrease latency in the decision-making process on connected devices.

You can send data from Edge Analytics to your back-end system when you need to perform analysis that cannot be performed on the edge device, such as:

Edge Analytics communicates with your back-end systems through the following message hubs:

Your back-end systems can also use analytics to interact with and control edge devices.

For example:

Edge Analytics can be used to filter the data on the Edge Device using any of the following methods:

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