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Analytics Turns Service Repair Data into Cost Savings

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Much like the majority of modern enterprises, Honda has big data.

Every vehicle that is taken in for maintenance has its information extracted and sent directly to the Honda database. Now, multiply that process by dozens of visits a day at over 1,200 dealerships nation-wide – that’s big data.

So, how does Honda make use of all this data?

They incorporated SAS Analytics, Enterprise BI Server and Forecast Server into their model, and saw the following results:

  • Reduced time for a claims processor to find a potentially noncompliant claim from 3 minutes to less than a minute
  • Reduced the cost of labor on 52% of the company’s labor codes
  • Predicted future demands within 1% accuracy

Download this case study to find out more.

Vendor:
SAS
Posted:
08 Jan 2019
Published:
31 Dec 2017
Format:
PDF
Type:
Case Study
Language:
English

This resource is no longer available.