How Ford Is Solving Problems Using Data And Analytics

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Previously, Ford Motor Company had a whole range of different data and analytics teams, as most companies likely do: one for manufacturing, one for sales and marketing, one for mobility, and so on.

But in late-2014, Ford decided that there might be some advantages to centralizing the automaker’s data and analytics efforts, creating a single Global Data Insight and Analytics team that sees to the effective collection, interpretation, and usage of data across all aspects of the business. According to Ford Director of Analytics Infrastructure Michael Cavaretta, it’s all about “having an enterprise view and an enterprise strategy, with regard to Ford’s data, and then the analytics to put on top of it.”

Mr. Cavaretta recently spoke to TechRepublic about the growing role that data and analytics are assuming at Ford, especially as the automaker transitions into offering mobility solutions outside the scope of its core business of building and selling passenger vehicles.

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“What we’re looking at is how do we pull together, in a very strategic way, our internal assets, as well as third-party data sources, connected vehicle data, autonomous vehicle data?” Mr. Cavaretta said to TechRepublic. “How do we put that all in one repository in a way that allows it to be able to operate it on efficiently and effectively?”

Ford sets itself apart from other global automakers by “pushing for an enterprise-level approach,” says Cavaretta. The eventual goal, according to TechRepublic, is for Ford to develop a cohesive strategy for managing all of its data assets.

For the full scoop, be sure to check out the original story at TechRepublic.

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Written by Aaron Brzozowski

Aaron Brzozowski is a writer and motoring enthusiast from Detroit with an affinity for '80s German steel. He is not active on the Twitter these days, but you may send him a courier pigeon.

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