IoT analytics guide: Understanding Internet of Things data
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As the second-largest commercial vehicle manufacturer in India, with over 700,000 trucks on the road and 70 million passengers relying on its busses, Ashok Leyland faces considerable challenges managing and maintaining its vehicle fleet. The Chennai-based company has recently implemented an SAP HANA Internet of Things (IoT) application developed by Hinduja Tech and the SAP Co-innovation Lab to increase vehicle uptime, reduce fuel costs and improve driver performance.
In this video, Ajay Kumar, Hinduja Tech's project manager and SAP business analyst, and Prasan Ramachandra, senior vice president and head of global operations, explain how the IoT application, called Fleet Analytics Mobile Enabled (FAME), allows Ashok Leyland to manage its vehicle fleet. The two spoke at the Sapphire Now 2015 conference held recently in Orlando.
"We built this application to take care of the major stakeholders in the automotive industry, like OEMs, who manufacture the vehicles; the fleet owners and fleet managers who monitor hundreds or thousands of vehicles; then the dealers who service the vehicles," Kumar says in the video. "So this is basically giving a single ecosystem platform to bring all these stakeholders onto a single platform." Using real-time data collected while the vehicles are in operation, Kumar explains, the company can monitor how drivers are performing and offer training when needed. Predictive analytics can pinpoint which vehicles may need servicing before they break down.
"The reason why we selected HANA was because the amount of data that was going to be coming in on a regular, real-time basis was quite huge," he says. "Ashok Leyland sells about 5,000 trucks every year and we'll review data coming in from all these trucks on a regular basis. This is quite a voluminous amount of data and a lot of data cleansing has to be done. We need to bring in the right kind of data and then analyze that particular data and publish the right amount of information."