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Real-time analytics refers to the process of gathering, processing, and analyzing data instantaneously, as it is generated or received. Unlike traditional analytics methods that involve batch processing, which may have a delay in insights generation, real-time analytics provides immediate feedback, allowing organizations to make rapid and informed decisions. This capability is particularly valuable in sectors such as finance, e-commerce, and telecommunications, where timely insights can lead to competitive advantages. Real-time analytics systems often employ technologies like streaming data platforms, in-memory databases, and complex event processing engines to handle high volumes of data and deliver actionable insights in real-time, enabling businesses to respond swiftly to changing conditions and capitalize on opportunities as they arise. OUTLINE: 00:00:00 Understanding Real-Time Analytics 00:00:56 Uber and Real-Time Analytics 00:02:24 Real-Time Analytics in Healthcare 00:03:45 The Impact of Real-Time Analytics