The Automotive Industry’s Big Data Challenge (Part 1)

In the not too distant future, automakers won’t be evaluated just on the physical, safety and performance characteristics of their vehicles.  Instead incumbent and next-generation automakers will be evaluated based on the completeness of their solution along five dimensions: Electric, Autonomous, Connected, Mobility Services (EAC+MS), and Information.  We read about the progress automakers and their suppliers are making along the first four dimensions.  There is much less conversation about the fifth dimension.  In this two-part series, we will discuss the big data challenge facing the automotive industry.  The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies.  The first post provides the why and makes two points:

  1. Automakers must be in the information business.  To be effective in the information business, automakers must change their perspective and start thinking about an overall process for big data in and around the car.
  2. Information in EAC+MS implies big data and incumbents in the automotive ecosystem must become serious about big data.  Newcomers to the automotive industry such as Google, Tesla, Faraday Future, and likely Apple, but also Uber, and Lyft, realize this imperative.

The second piece will provide the how to try to address this challenge.

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