Exploring the Applications of Process Mining Techniques in the Industry

Detalhes bibliográficos
Autor(a) principal: Aldera, Emanuele
Data de Publicação: 2024
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/164771
Resumo: Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
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spelling Exploring the Applications of Process Mining Techniques in the IndustryProcess MiningBusiness Process ManagementData MiningSolvayCelonisBusiness Process IntelligenceSDG 4 - Quality educationSDG 8 - Decent work and economic growthSDG 9 - Industry, innovation and infrastructureSDG 12 - Responsible production and consumptionDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoInternship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsProcess Mining is a discipline that has been growing very fast in the last years, and it has been adopted by many companies to have greater visibility on the ongoing processes within the company itself. Process Mining leverages the increasingly intensive adoption and use of ERP systems by companies, using the digital footprints created by those systems to implement the necessary data needed to achieve its main three objectives: Discovery, Monitoring and Improving. As a point of contact between Data Mining and Business Process Management (BPM), Process Mining analyzes a large volume of data to extract insights, patterns, and other useful information within the data, as well as analyzing and improving existing business processes within the organization. The objective of this internship report is to dissect and describe the usage of Process Mining encountered during this internship within Solvay, a global leading company in the chemistry sector, using a qualitative methodology approach to describe the usage of the Celonis tool, the leading Process Mining software, supplemented by a literature review to provide a comprehensive analysis of the topic.Malta, Pedro Manuel Carqueijeiro Espiga da MaiaRUNAldera, Emanuele2024-03-12T16:52:15Z2024-02-012024-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/164771TID:203543971enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-18T01:45:11Zoai:run.unl.pt:10362/164771Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:01:59.684368Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Exploring the Applications of Process Mining Techniques in the Industry
title Exploring the Applications of Process Mining Techniques in the Industry
spellingShingle Exploring the Applications of Process Mining Techniques in the Industry
Aldera, Emanuele
Process Mining
Business Process Management
Data Mining
Solvay
Celonis
Business Process Intelligence
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
SDG 9 - Industry, innovation and infrastructure
SDG 12 - Responsible production and consumption
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short Exploring the Applications of Process Mining Techniques in the Industry
title_full Exploring the Applications of Process Mining Techniques in the Industry
title_fullStr Exploring the Applications of Process Mining Techniques in the Industry
title_full_unstemmed Exploring the Applications of Process Mining Techniques in the Industry
title_sort Exploring the Applications of Process Mining Techniques in the Industry
author Aldera, Emanuele
author_facet Aldera, Emanuele
author_role author
dc.contributor.none.fl_str_mv Malta, Pedro Manuel Carqueijeiro Espiga da Maia
RUN
dc.contributor.author.fl_str_mv Aldera, Emanuele
dc.subject.por.fl_str_mv Process Mining
Business Process Management
Data Mining
Solvay
Celonis
Business Process Intelligence
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
SDG 9 - Industry, innovation and infrastructure
SDG 12 - Responsible production and consumption
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic Process Mining
Business Process Management
Data Mining
Solvay
Celonis
Business Process Intelligence
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
SDG 9 - Industry, innovation and infrastructure
SDG 12 - Responsible production and consumption
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
publishDate 2024
dc.date.none.fl_str_mv 2024-03-12T16:52:15Z
2024-02-01
2024-02-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/164771
TID:203543971
url http://hdl.handle.net/10362/164771
identifier_str_mv TID:203543971
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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