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Insight from data analytics with an automotive aftermarket SME

Lookup NU author(s): Dr Wayne Smith, Dr Shirley ColemanORCiD, Professor Jaume BacarditORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

© 2019 The Authors. Quality and Reliability Engineering International Published by John Wiley & Sons Ltd.There is enormous general interest in the automotive sector, and there are many sets of informative data openly available to the public. Companies involved in the automotive aftermarket sector have access to further masses of data, and this can be analysed to provide valuable insights to complement those obtainable from the internet and popular press, discovering hidden knowledge and financial benefit within the data by using statistical analysis, big data analytics, and data science. This article gives examples of insight derived from data giving great value to stakeholders in the sector. The examples are followed by a discussion of the issues involved in applying data science and ensuring that solutions are implemented and are sustainable within the business partner companies.

Publication metadata

Author(s): Smith WS, Coleman S, Bacardit J, Coxon S

Publication type: Article

Publication status: Published

Journal: Quality and Reliability Engineering International

Year: 2019

Volume: 35

Issue: 5

Pages: 1396-1407

Online publication date: 16/07/2019

Acceptance date: 07/06/2019

Date deposited: 05/08/2019

ISSN (print): 0748-8017

ISSN (electronic): 1099-1638

Publisher: John Wiley and Sons Ltd

URL: https://doi.org/10.1002/qre.2529

DOI: 10.1002/qre.2529

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