The technology that allows for real-time data analytics includes stream processing frameworks like Apache Kafka and Apache Flink. These tools enable the continuous processing of data as it arrives, providing timely insights and facilitating immediate decision-making. Real-time analytics is essential for applications such as fraud detection, monitoring IoT devices, and customer engagement strategies, where instantaneous information can significantly impact outcomes. By leveraging real-time analytics, organizations can respond proactively to changing conditions and enhance overall operational efficiency.