Identifying big data’s opportunities, challenges, and implications in finance

Detalhes bibliográficos
Autor(a) principal: Sun, H.
Data de Publicação: 2020
Outros Autores: Rabbani, M. R., Sial, M. S., Yu, S., Filipe, J. A., Cherian, J.
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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spelling 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
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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
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dc.publisher.none.fl_str_mv MDPI
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