Identifying big data’s opportunities, challenges, and implications in finance
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/21218 |
Resumo: | One of the latest innovations in business and technology is the use of big data, as daily data is generated by billions of events. The big data issue is now considered in the accountants and finance professionals’ field as one of the most important sources for the analysis of financial products and services. This study is very innovative, aiming our research to identify the opportunities, challenges, and implications of big data in the finance area. It is our purpose to find competitive advantages in extents on which big data brings visible benefits, also pointing out the challenges that a company may face in this field, as are the cases of customers' data security or customer satisfaction processes. The identification of this kind of dynamics allows us to conclude about the big advantages of big data on these analyses and big data’s deep impact on finance. Very particularly, the big data is now commonly used by financial institutions and banks for analytical purposes in financial markets contexts. We have conducted an exploratory survey of the existing literature to highlight such connections. In the last part of our study, we also propose some directions for future research. |
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Identifying big data’s opportunities, challenges, and implications in financeBig dataFinanceOpportunitiesChallengesFinancial servicesEconomic modelsOne of the latest innovations in business and technology is the use of big data, as daily data is generated by billions of events. The big data issue is now considered in the accountants and finance professionals’ field as one of the most important sources for the analysis of financial products and services. This study is very innovative, aiming our research to identify the opportunities, challenges, and implications of big data in the finance area. It is our purpose to find competitive advantages in extents on which big data brings visible benefits, also pointing out the challenges that a company may face in this field, as are the cases of customers' data security or customer satisfaction processes. The identification of this kind of dynamics allows us to conclude about the big advantages of big data on these analyses and big data’s deep impact on finance. Very particularly, the big data is now commonly used by financial institutions and banks for analytical purposes in financial markets contexts. We have conducted an exploratory survey of the existing literature to highlight such connections. In the last part of our study, we also propose some directions for future research.MDPI2021-01-12T10:24:04Z2020-01-01T00:00:00Z20202021-01-12T10:19:58Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/21218eng2227-739010.3390/math8101738Sun, H.Rabbani, M. R.Sial, M. S.Yu, S.Filipe, J. A.Cherian, J.info: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:RCAAP2023-11-09T17:42:19Zoai:repositorio.iscte-iul.pt:10071/21218Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:19:46.947635Repositório 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 |
Identifying big data’s opportunities, challenges, and implications in finance |
title |
Identifying big data’s opportunities, challenges, and implications in finance |
spellingShingle |
Identifying big data’s opportunities, challenges, and implications in finance Sun, H. Big data Finance Opportunities Challenges Financial services Economic models |
title_short |
Identifying big data’s opportunities, challenges, and implications in finance |
title_full |
Identifying big data’s opportunities, challenges, and implications in finance |
title_fullStr |
Identifying big data’s opportunities, challenges, and implications in finance |
title_full_unstemmed |
Identifying big data’s opportunities, challenges, and implications in finance |
title_sort |
Identifying big data’s opportunities, challenges, and implications in finance |
author |
Sun, H. |
author_facet |
Sun, H. Rabbani, M. R. Sial, M. S. Yu, S. Filipe, J. A. Cherian, J. |
author_role |
author |
author2 |
Rabbani, M. R. Sial, M. S. Yu, S. Filipe, J. A. Cherian, J. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Sun, H. Rabbani, M. R. Sial, M. S. Yu, S. Filipe, J. A. Cherian, J. |
dc.subject.por.fl_str_mv |
Big data Finance Opportunities Challenges Financial services Economic models |
topic |
Big data Finance Opportunities Challenges Financial services Economic models |
description |
One of the latest innovations in business and technology is the use of big data, as daily data is generated by billions of events. The big data issue is now considered in the accountants and finance professionals’ field as one of the most important sources for the analysis of financial products and services. This study is very innovative, aiming our research to identify the opportunities, challenges, and implications of big data in the finance area. It is our purpose to find competitive advantages in extents on which big data brings visible benefits, also pointing out the challenges that a company may face in this field, as are the cases of customers' data security or customer satisfaction processes. The identification of this kind of dynamics allows us to conclude about the big advantages of big data on these analyses and big data’s deep impact on finance. Very particularly, the big data is now commonly used by financial institutions and banks for analytical purposes in financial markets contexts. We have conducted an exploratory survey of the existing literature to highlight such connections. In the last part of our study, we also propose some directions for future research. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01T00:00:00Z 2020 2021-01-12T10:24:04Z 2021-01-12T10:19:58Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/21218 |
url |
http://hdl.handle.net/10071/21218 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2227-7390 10.3390/math8101738 |
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.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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