The availability of real-time information sources and the "Internet of Things" (IoT) represent a new source of revenue and profit, product innovation, and investment opportunity. However, the realizable value comes from harnessing the high volume, velocity, and the range of variety of data being captured and processed in real-time. Just as the database management opportunity gave birth to a wide range of database technologies and Big Data needed Hadoop, the real-time enterprise and IoT applications need development tools and processing capability to support real-time streaming analytics.
Real-time streaming analytics enable enterprises to collect, integrate, analyze, and visualize data, as and when it is generated. It processes all the activities as the data is being produced, without disrupting the activity of existing sources, storage, and enterprise systems.
With real-time streaming analytics, enterprises can:
Enterprises can cut preventable losses with real-time streaming analytics. Examples include:
Allows businesses to take swift actions and ensure uninterrupted operations. Examples include:
Real-time analytics can stream data processed for one particular purpose to new opportunities, delivering value and generating new revenue streams. Examples include: