Cisco brings big data analytics to the IoT

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Cisco has launched an analytics service to help organisations extract and interpret big data from connected devices. 

Cisco said its Connected Analytics for the Internet of Everything (IoE) portfolio will help to extract valuable but highly distributed data generated by the ecosystem of connected things, people and processes.

The service combines “intelligent” networks with data virtualisation to give organisations near real-time analytics at the edge of the network, providing insight into business trends and processes. 

For example, Cisco said the service would help operators plan network deployments and optimisation based on operational data, as well as enabling them to deliver more customer-tailored services based on subscriber usage patterns.

Connected Analytics will also help service providers improve Wi-Fi networks by proactively planning for capacity based on customer usage, the vendor said, with additional applications for IT, retail, events and contact centres.

The portfolio is available in “easy-to-deploy” software packages and builds on the vendor’s Cisco IOx internet of things framework.

Edzard Overbeek, Senior Vice President of Cisco Services, said: “There is a massive shift in the market where the remote device at the edge is quickly becoming an incredibly strategic tool to share and collect data, enable more informed decision making, and deliver the best customer experience possible. 

“But, if customers don’t have the right analytics solutions in place to make sense of it, that data is useless. Now with Cisco’s portfolio and broad partner ecosystem, we have the right footprint to drive analytics innovation and help customers turn data into actionable insights that can transform business outcomes.” 

Cisco claimed that analytics would drive $7.3 trillion (€5.8 trillion) of the predicted $19 trillion (€15.2 trillion) opportunity that the IoE presents over the next decade.

It added that 40 percent of respondents in a recent survey by the vendor regarded the inability to interpret big data as the biggest obstacle in translating connections into “actionable insights”.

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