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Big data analytics in automotive industry

It isn’t a big stretch to incorporating big data into the automotive industry, as most modern cars already contain advanced technology with numerous sensors, on-board computing tools and processors. The difference is that most of this information is generated and stored locally, with connected cars, the connection to the internet will ensure all applications and information is up to date and shared to the correct platforms.

The automobile manufacturers will be able to update software remotely, allowing them to monitor and respond to engine performance. For example, if the vehicle is due for an oil change or running low on radiator fluid, the manufacturer will be able to inform the driver remotely. Personal errands will also get easier as you will be able to respond to emails, perform internet banking and pay bills on the way home from work.

As big data is gathered from the multitude of sensors, inferences can be drawn regarding consumer behaviour, for instance establishing if there a link between the music people listen to and drive-through restaurants they frequent. These kinds of connections can impact advertising resource allocations and budgets, and thus the information gathered from connected cars is invaluable commercially.

In fleet management domain, by using big data and connected cars, it will enable the management of vast number of vehicles by way of analysis of aggregated data. Sensors will inform management of speed, braking techniques and route selection and thus they can make informed decisions to relay to the drivers. Better yet, with the application of smart sensor algorithms, the car itself will be able to suggest appropriate responses for actions measured.

Vehicle maintenance will become more preventative than reactive, as monitoring across all systems will elucidate problems before they result in a breakdown. All this conspires to keep vehicles in peak performance shape, increase efficiency and lower costs.

 

 

 

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