Proving the Business Case for the Internet of Things

Davra M2M tech to generate "intelligence" from vehicle tracking, other applications

Iain Morris
June 18, 2014
A new M2M service developed by Davra Networks will allow organizations across a range of vertical markets to track their equipment and make improvements based on analyzing performance data.

Davra (Sunnyvale, CA, USA) already serves customer as diverse as the City of Toronto, the University of Alabama and telecoms operator Vodafone (Newbury, UK), and says all have begun gathering and using machine data to improve their operations.

Using the technology on buses, for instance, would allow information about the number of passengers, bus speed and engine status to be sent to the “cloud” in real time for analysis.

The company has teamed up with technology giant Cisco (San Jose, CA, USA) to develop what it calls an “end-to-end” platform – branded RUBAN – for systems integrators and value-added resellers targeting the asset-tracking space.

The technology works by collecting data from sensors installed in machines, sending this into the cloud and then turning it into “usable business intelligence (BI)” that can be viewed on the desktop.

The RuBAN platform essentially lets companies translate raw network and sensor data into an easily accessible format that can be analyzed or fed to third-party app developers and data consumption tools such as ERP systems, CRM and predictive analytics tools.

Davra says the “plug-and-play” platform needs no customization and that extensive end-user training is not required for for the final applications.
It also claims RUBAN is the only product presenting this data in an easy-to-use intuitive way.

“Our customers are using the RuBAN platform to turn IoT raw data into usable everyday solutions that are as visual and easy to use as your smartphone,” said Davra Networks chief executive Paul Glynn. “We work with our partners to do all the heavy lifting and installing of Cisco … routers and sensors on location, [and] then we manage information coming from the IoT environment as well as information from the network itself.”

“Our flexible solution can be used as easily in vehicle tracking or water meter usage as it can in smart cities and farms,” he added.
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