Big data: the path to data monetization

Detalhes bibliográficos
Autor(a) principal: Pfeifer, Christian
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/69500
Resumo: The path to monetizing data is a challenging task for many organizations. Not only the technical complexity and the most often needed organizational changes, but also high initial investment costs without certain outcome make this endeavor highly risky. As a result, the number of organizations that have successfully walked the path to monetizing data remains scarce. To address this issue, this paper aims to shed light on the limited understanding of how organizations can unlock the value of data and monetize it by conducting an in-depth systematic literature review.
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spelling Big data: the path to data monetizationBig dataData business modelData monetizationValueDomínio/Área Científica::Ciências Sociais::Economia e GestãoThe path to monetizing data is a challenging task for many organizations. Not only the technical complexity and the most often needed organizational changes, but also high initial investment costs without certain outcome make this endeavor highly risky. As a result, the number of organizations that have successfully walked the path to monetizing data remains scarce. To address this issue, this paper aims to shed light on the limited understanding of how organizations can unlock the value of data and monetize it by conducting an in-depth systematic literature review.Bação, FernandoRUNPfeifer, Christian2019-05-13T14:05:31Z2019-01-252019-01-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/69500TID:202227073enginfo: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:RCAAP2024-03-11T04:32:57Zoai:run.unl.pt:10362/69500Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:34:58.286209Repositório 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 Big data: the path to data monetization
title Big data: the path to data monetization
spellingShingle Big data: the path to data monetization
Pfeifer, Christian
Big data
Data business model
Data monetization
Value
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Big data: the path to data monetization
title_full Big data: the path to data monetization
title_fullStr Big data: the path to data monetization
title_full_unstemmed Big data: the path to data monetization
title_sort Big data: the path to data monetization
author Pfeifer, Christian
author_facet Pfeifer, Christian
author_role author
dc.contributor.none.fl_str_mv Bação, Fernando
RUN
dc.contributor.author.fl_str_mv Pfeifer, Christian
dc.subject.por.fl_str_mv Big data
Data business model
Data monetization
Value
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Big data
Data business model
Data monetization
Value
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description The path to monetizing data is a challenging task for many organizations. Not only the technical complexity and the most often needed organizational changes, but also high initial investment costs without certain outcome make this endeavor highly risky. As a result, the number of organizations that have successfully walked the path to monetizing data remains scarce. To address this issue, this paper aims to shed light on the limited understanding of how organizations can unlock the value of data and monetize it by conducting an in-depth systematic literature review.
publishDate 2019
dc.date.none.fl_str_mv 2019-05-13T14:05:31Z
2019-01-25
2019-01-25T00:00:00Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/69500
TID:202227073
url http://hdl.handle.net/10362/69500
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dc.language.iso.fl_str_mv eng
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