Abstract | ||
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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. |
Year | DOI | Venue |
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2019 | 10.1002/qre.2529 | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL |
Keywords | Field | DocType |
data science,intellectual property,monetising data,statistical process control | Data science,Econometrics,Data analysis,Statistical process control,Intellectual property,Engineering,Automotive industry | Journal |
Volume | Issue | ISSN |
35.0 | SP5.0 | 0748-8017 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wayne S. Smith | 1 | 0 | 0.34 |
Shirley Coleman | 2 | 12 | 3.37 |
Jaume Bacardit | 3 | 0 | 0.68 |
Syd Coxon | 4 | 0 | 0.34 |