Data Science and Cars!

Phani Srikanth
Data Science | Analytics
2 min readOct 18, 2014

Is the cars industry leveraging their data?

Well, data science has several applications for the automotive industry, especially cars. The following are a few:

  • Product Development: Ford has been instrumental in taking a data driven approach into designing new cars by looking at the customer reviews data and several data sources across internet. See [1]
  • System and Enviromental impact: Ford Research once again is harnessing the power of supercomputing and advanced mathematics to arrive at these decisions. See [1]
  • Car insurance by telematics: Discovering the driving patterns of the driver by using the telematics technology and analyzing the data, insurance providers are providing lesser premiums to “good” drivers who drive safely and penalizing rash drivers by increasing premiums. See [2], [3]
  • F1 — racing: Private cloud for each race. 250 sensors attached to the car. Log everything you can. Result: 40TB of data. Analyze. Acceleration and braking patterns at corners. Each second is important. Enough said. See [4], [5]
  • Supply Chain and Sales: And sales as usual. See [6]
  • Better experience: A holistic picture of the above points. See [7]

References:

  1. http://corporate.ford.com/news-c...
  2. Data Monitoring Saves Some People Money On Car Insurance, But Some Will Pay More
  3. The Big Data Approach to Telematics Insurance | Insurance & Technology
  4. How the Lotus F1 team builds a private cloud for each race
  5. NetAppVoice: Big Data: The Digital Backbone Of Formula 1
  6. How GM uses big data to generate sales
  7. Big Data in Automotive and Machinery: Using Analytics to Deliver Better Products and a More Fulfilling Driver Experience — InFocus

I surely know, I have missed a few. If I find them, I will surely as hell come back and update the post!

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Phani Srikanth
Data Science | Analytics

www.phani.io | I enjoy working on Machine Learning, attending live concerts and following Test Cricket.