SAP Analytics Cloud implementation - Step by step deployment

Detalhes bibliográficos
Autor(a) principal: Codorniz, Raquel Toste
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/10362/164047
Resumo: Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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spelling SAP Analytics Cloud implementation - Step by step deploymentERPi-ERPSAP Analytics CloudDecision supportBusiness IntelligencePlanningPredictiveDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThe main purpose of this project was to develop a step-by-step guide for implementing SAP Analytics Cloud solutions. This project aimed to rectify prevalent inefficiencies within the Analytics department, consequently enhancing the overall customer experience at INETUM Holding Business, Portugal. The project's usability was exemplified through its application in a real-world scenario involving a fictional client. Furthermore, the project contributes to academic enrichment by providing a fundamental, conceptual understanding of Business Intelligence, Planning and Predictive service providers like SAP Analytics Cloud. This not only paves the way for novel research prospects associated with SAP Analytics Cloud but also bolsters the foundation of understanding surrounding it. Practical value is added for system users to comprehend SAP Analytics Cloud on the deepest level. For system providers, the project offers a vantage point to discern vital system enhancements imperative for sustaining competitiveness within the industry.Santos, Vítor Manuel Pereira Duarte dosRUNCodorniz, Raquel Toste2024-02-23T18:05:58Z2024-01-302024-01-30T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/164047TID:203528158enginfo: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:RCAAP2024-03-11T05:50:34Zoai:run.unl.pt:10362/164047Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:00:01.401258Repositório 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 SAP Analytics Cloud implementation - Step by step deployment
title SAP Analytics Cloud implementation - Step by step deployment
spellingShingle SAP Analytics Cloud implementation - Step by step deployment
Codorniz, Raquel Toste
ERP
i-ERP
SAP Analytics Cloud
Decision support
Business Intelligence
Planning
Predictive
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short SAP Analytics Cloud implementation - Step by step deployment
title_full SAP Analytics Cloud implementation - Step by step deployment
title_fullStr SAP Analytics Cloud implementation - Step by step deployment
title_full_unstemmed SAP Analytics Cloud implementation - Step by step deployment
title_sort SAP Analytics Cloud implementation - Step by step deployment
author Codorniz, Raquel Toste
author_facet Codorniz, Raquel Toste
author_role author
dc.contributor.none.fl_str_mv Santos, Vítor Manuel Pereira Duarte dos
RUN
dc.contributor.author.fl_str_mv Codorniz, Raquel Toste
dc.subject.por.fl_str_mv ERP
i-ERP
SAP Analytics Cloud
Decision support
Business Intelligence
Planning
Predictive
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic ERP
i-ERP
SAP Analytics Cloud
Decision support
Business Intelligence
Planning
Predictive
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2024
dc.date.none.fl_str_mv 2024-02-23T18:05:58Z
2024-01-30
2024-01-30T00:00:00Z
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/10362/164047
TID:203528158
url http://hdl.handle.net/10362/164047
identifier_str_mv TID:203528158
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
repository.mail.fl_str_mv
_version_ 1799138176454885376

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