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Curricular internship report at Continental: data, its importance and applications

Authors: Pinto, Gonçalo Ferreira;

Curricular internship report at Continental: data, its importance and applications

Abstract

O presente relatório resulta do estágio curricular realizado na empresa Continental, no âmbito do Mestrado em Ciência de Dados para Ciências Sociais, cuja a finalidade é demonstrar as possíveis utilizações dos dados na empresa. Num primeiro momento é apresentada uma breve caracterização da empresa, em termos da sua evolução, organização e analise dos seus dados financeiros. Numa fase seguinte é explicado em detalhe os dois projetos desenvolvidos, desde a explicações dos softwares usados, até à interpretação dos dados obtidos com as análises. Este relatório, a partir de casos concretos, coloca a análise de dados como mais uma variável estratégica para assegurar a tomada de decisão e a competitividade das empresas.

This report is the result of an internship at the company Continental, as part of the Master's Degree in Data Science for Social Sciences, the aim of which is to demonstrate the possible uses of data in the company. Firstly, a brief description of the company is presented, in terms of its evolution, organisation and analysis of its financial data. The next stage is a detailed explanation of the two projects carried out, from the explanation of the software used to the interpretation of the data obtained from the analyses. This report, based on concrete cases, positions data analysis as an additional strategic variable to ensure decision-making and the competitiveness of companies.

Mestrado em Ciência de Dados para Ciências Sociais

Country
Portugal
Related Organizations
Keywords

Data, Performance metrics, Elastic, Machine learning, Data analysis, Continental, Data engineering, Data science

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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