Enterprise Nervous System

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What Does Enterprise Nervous System Mean?

Enterprise nervous system (ENS) refers to the connection of network elements and components to create an intelligent whole, a comprehensive system serving enterprise goals. The idea is that parts of an IT architecture can be connected in much the same way that the human central nervous system is connected — to serve common goals through smart collaborative processes.

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Techopedia Explains Enterprise Nervous System

Parts of an ENS may include central data centers served by messaging middleware. The central data repository would be analogous to a certain part of the human brain, such as a memory center, that is accessed by middleware technologies in much the same way that human memory centers are accessed by collections of neurons.

Creating an ENS model requires certain tools and resources that are used to connect the network components. One example is the use of an application programming interface (API), a tool that helps different types of software to communicate well.

In general, IT professionals will label and manipulate parts of an IT system with the knowledge of how all of the connected parts work together. An ENS is, in some ways, a reflection on the emergence of new data-handling models and technologies that promote much more sophisticated and modern IT systems with the ability to handle more data, deliver more computing power and support decision making in new and useful ways.

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Margaret Rouse
Technology expert
Margaret Rouse
Technology expert

Margaret is an award-winning writer and educator known for her ability to explain complex technical topics to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles in the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret’s idea of ​​a fun day is to help IT and business professionals to learn to speak each other’s highly specialized languages.