Hollywood has exploited our weakness for years; we love cars and they know it. So many famous films and TV shows are synonymous with their onscreen vehicles, you could probably put them bumper to bumper on the entire stretch of old route 66 and still not have room.
One thing that those cars have in common is that they speak to us in one way or another. Sometimes they just touch our hearts like the Mystery Machine, or the Ghostbusters’ Ecto-1, and sometimes they nonverbally communicate like in Herbie or Chitty Chitty Bang Bang, but sometimes they literally talk like Kitt in Lightning McQueen, or the ghastly in My Mother the Car.
Talking cars are not just Hollywood make-believe; cars do speak. I am referring to big data. Not only are the auto manufacturers communicating with every new vehicle, but employees, suppliers, and customers too albeit in different ways.
With data piling up, sorting through and making sense of the data can be the business equivalent of tearing down the autobahn or sitting in a Chicago traffic jam. All of that information is great to have, but the data is useless unless you can make sense of it. SAP HANNA’s real-time intelligence and enterprise mobility supports simple, intuitive decision-making, and new business processes with Big Data solutions for the automotive industry.
Automotive companies can simplify and speed up decisions with SAP’s real-time insights into manufacturing costs, asset use, customer experience, and operations. SAP also sets the foundation for seizing opportunities and creating new business models with risk and opportunity assessment capabilities.
My dream is that one day a manufacturer will analyze the data and discover a demand to mass produce Batmobiles and Jetson’s Space cars.
It’s an exciting time to work in this industry and I’m proud to work for SAP. The world’s most successful automotive companies rely on our solutions on premise, in the cloud, and on mobile devices. Here’s a link to some free resources to learn more about all the big possibilities with big data.
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