What does real-time analytics primarily analyze?

Real-time analytics primarily focuses on analyzing real-time data, which includes the continuous streams of information generated by various sources, such as IoT devices. This approach allows for immediate insights and timely decision-making based on current information rather than relying on historical data or trends.

By processing real-time data, organizations can respond quickly to changing conditions, monitor system performance in the moment, and gain immediate visibility into operational metrics. This capability is essential for applications that require prompt reactions, such as fraud detection, network security monitoring, or real-time marketing adjustments. The emphasis on real-time data distinguishes it from other analytics forms that concentrate on past performance or fixed reports, thus making it a critical tool in dynamic environments.