Leonardo Rategni
Big data analytics role in Maserati powertrain systems development. Case study: continuous improvement of IUMPR indexes.
Rel. Giancarlo Genta. Politecnico di Torino, Master of science program in Automotive Engineering, 2020
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Abstract
The purpose of this document is to illustrate the internship experience I had at Maserati S.p.A. and to explain the results I obtained with my daily duties. As member of the Validation and Fleet Management team - a branch of the Powertrain Testing department of Maserati S.p.A. - I had access to the complete sets of data regarding every Validation fleet's vehicle accumulation schedule. Since those programmed activities imply the generation of huge amounts of data everyday, these ones can be gladly and fully-fledged addressed as Big Data. Pursuant of their extreme dimensions and thickness, these data are not manageable with traditional data analysis techniques, and require particular studies to exploit, give meaning and extrapolate usable indications to and from them.
Big Data are surely a very precious and breaktroughing instrument, which - if properly used - can either definitely determine the success of a company with respect to competitors, or at least increase the quality and the profitability of its products in the market segments of interest
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