Edge Analytics is an approach where data is processed and analyzed close to the source of the data.

The goal is to process data and generate insights in real-time, without first sending the data to a central location for analysis.

In a traditional setup, raw data is collected and then sent to a central point for processing and analysis. However, this can lead to delays and high costs for moving and storing large amounts of data. With Edge Analytics, data can be analyzed on-site, allowing companies to react more quickly to changes and gain insights in real-time.

Edge analytics is often used in the Internet of Things (IoT), where sensors and other devices collect data and process it directly at the edge. This can lead to improved performance, safety and efficiency in various industries, such as manufacturing, healthcare, logistics and energy management.

In short, Edge Analytics is a method of processing and analyzing data close to the source of the data, allowing companies to gain real-time insights and react to changes faster.