Edge analytics is a type of data analysis that takes place at the edge of a network. It involves the analysis of data that is collected from devices such as computers, smart phones, sensors, etc. at the edge of the network. This type of analysis is often used to collect data from large and distributed systems. The analysis is typically performed in real-time, allowing for quick access to information without having to connect to a centralized system. Edge analytics can be used to provide quick insights, make predictions, and monitor system performance.
Edge analytics is becoming increasingly popular due to its ability to provide information on distributed systems quickly and without the need for a traditional analysis. This type of data analysis can lead to a better understanding of user behaviour, customer trends and user preferences. By understanding these areas, edge analytics can enable businesses to improve customer experience and increase revenue.
Edge analytics is a cost-effective, fast, and accurate way to analyse data. It is becoming increasingly common due to its low cost and the ability to process data quickly. As edge analytics becomes more popular, companies will need to focus on data security and privacy to ensure the data is secure and not misused.
