Identifying Big Data's Opportunities, Challenges, and Implications in Finance

One of the latest innovations in business and technology is the use of big data, as daily data are 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 product...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Mathematics (Basel) 2020-10, Vol.8 (10), p.1738, Article 1738
Hauptverfasser: Sun, Huidong, Rabbani, Mustafa Raza, Sial, Muhammad Safdar, Yu, Siming, Filipe, Jose Antonio, Cherian, Jacob
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 10
container_start_page 1738
container_title Mathematics (Basel)
container_volume 8
creator Sun, Huidong
Rabbani, Mustafa Raza
Sial, Muhammad Safdar
Yu, Siming
Filipe, Jose Antonio
Cherian, Jacob
description One of the latest innovations in business and technology is the use of big data, as daily data are 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, with our research aiming to identify the opportunities, challenges, and implications of big data in the finance area. It is our purpose to find competitive advantages in terms of the extent to which big data brings visible benefits, also pointing out the challenges that a company may face in this field, such as cases of customers' data security or customer satisfaction processes. The identification of this kind of dynamics allows us to draw conclusions on the advantages of big data based on these analyses and big data's deep impact on finance. In particular, big data is now commonly used by financial institutions and banks for analytical purposes in financial market contexts. We conducted an exploratory survey of the existing literature to highlight such connections. In the last part of our study, we also propose directions for future research.
doi_str_mv 10.3390/math8101738
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_3390_math8101738</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_e99416e8f34648349e69a2ea8abc74f1</doaj_id><sourcerecordid>2548984287</sourcerecordid><originalsourceid>FETCH-LOGICAL-c390t-57f67de3a74302e5d9c3d27da189267aa38e55159ddcbe429e5bffebb144bde73</originalsourceid><addsrcrecordid>eNqNkU9v1DAQxaOKSq3anvgCkThwgC3xv9g-QqCwUlEv5WxN7PHWq6wdbK-qfnuyXVR6xBePRm_eG_2mad6S7pox3X3aQX1QpCOSqZPmnFIqV3Lpv3lVnzVXpWy75WnCFNfnzc-1w1iDfwpx034Jm_YrVHhf2rt5TrnuY6gBy8d2eIBpwrg51BBdu97NU7BQQ4qlDbG9CRGixcvm1MNU8Orvf9H8uvl2P_xY3d59Xw-fb1d2WaKuhPS9dMhActZRFE5b5qh0QJSmvQRgCoUgQjtnR-RUoxi9x3EknI8OJbto1kdfl2Br5hx2kJ9MgmCeGylvDOQa7IQGteakR-UZ77liXGOvgSIoGK3knixe745ec06_91iq2aZ9jsv6hgqutOJUHRI_HFU2p1Iy-pdU0pkDfvMK_6JWR_UjjskXG3CB8zKx4BdKUMrF4RJkCPUZ5JD2sf4L-p9R9geLDpfm</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2548984287</pqid></control><display><type>article</type><title>Identifying Big Data's Opportunities, Challenges, and Implications in Finance</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>Web of Science - Science Citation Index Expanded - 2020&lt;img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /&gt;</source><source>Web of Science - Social Sciences Citation Index – 2020&lt;img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /&gt;</source><creator>Sun, Huidong ; Rabbani, Mustafa Raza ; Sial, Muhammad Safdar ; Yu, Siming ; Filipe, Jose Antonio ; Cherian, Jacob</creator><creatorcontrib>Sun, Huidong ; Rabbani, Mustafa Raza ; Sial, Muhammad Safdar ; Yu, Siming ; Filipe, Jose Antonio ; Cherian, Jacob</creatorcontrib><description>One of the latest innovations in business and technology is the use of big data, as daily data are 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, with our research aiming to identify the opportunities, challenges, and implications of big data in the finance area. It is our purpose to find competitive advantages in terms of the extent to which big data brings visible benefits, also pointing out the challenges that a company may face in this field, such as cases of customers' data security or customer satisfaction processes. The identification of this kind of dynamics allows us to draw conclusions on the advantages of big data based on these analyses and big data's deep impact on finance. In particular, big data is now commonly used by financial institutions and banks for analytical purposes in financial market contexts. We conducted an exploratory survey of the existing literature to highlight such connections. In the last part of our study, we also propose directions for future research.</description><identifier>ISSN: 2227-7390</identifier><identifier>EISSN: 2227-7390</identifier><identifier>DOI: 10.3390/math8101738</identifier><language>eng</language><publisher>BASEL: Mdpi</publisher><subject>Automation ; Big Data ; challenges ; Customer satisfaction ; Data analysis ; Debt financing ; Decision making ; economic models ; Finance ; Financial services ; Food science ; Information technology ; Innovations ; Machine learning ; Mathematics ; opportunities ; Physical Sciences ; Risk assessment ; Science &amp; Technology ; Securities markets ; Small business ; Social research ; Technological change</subject><ispartof>Mathematics (Basel), 2020-10, Vol.8 (10), p.1738, Article 1738</ispartof><rights>2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>13</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000585224500001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c390t-57f67de3a74302e5d9c3d27da189267aa38e55159ddcbe429e5bffebb144bde73</citedby><cites>FETCH-LOGICAL-c390t-57f67de3a74302e5d9c3d27da189267aa38e55159ddcbe429e5bffebb144bde73</cites><orcidid>0000-0002-9263-5657 ; 0000-0003-1264-4252 ; 0000-0002-8530-6951 ; 0000-0003-4394-1460</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,866,2104,2116,27931,27932,28255,28256</link.rule.ids></links><search><creatorcontrib>Sun, Huidong</creatorcontrib><creatorcontrib>Rabbani, Mustafa Raza</creatorcontrib><creatorcontrib>Sial, Muhammad Safdar</creatorcontrib><creatorcontrib>Yu, Siming</creatorcontrib><creatorcontrib>Filipe, Jose Antonio</creatorcontrib><creatorcontrib>Cherian, Jacob</creatorcontrib><title>Identifying Big Data's Opportunities, Challenges, and Implications in Finance</title><title>Mathematics (Basel)</title><addtitle>MATHEMATICS-BASEL</addtitle><description>One of the latest innovations in business and technology is the use of big data, as daily data are 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, with our research aiming to identify the opportunities, challenges, and implications of big data in the finance area. It is our purpose to find competitive advantages in terms of the extent to which big data brings visible benefits, also pointing out the challenges that a company may face in this field, such as cases of customers' data security or customer satisfaction processes. The identification of this kind of dynamics allows us to draw conclusions on the advantages of big data based on these analyses and big data's deep impact on finance. In particular, big data is now commonly used by financial institutions and banks for analytical purposes in financial market contexts. We conducted an exploratory survey of the existing literature to highlight such connections. In the last part of our study, we also propose directions for future research.</description><subject>Automation</subject><subject>Big Data</subject><subject>challenges</subject><subject>Customer satisfaction</subject><subject>Data analysis</subject><subject>Debt financing</subject><subject>Decision making</subject><subject>economic models</subject><subject>Finance</subject><subject>Financial services</subject><subject>Food science</subject><subject>Information technology</subject><subject>Innovations</subject><subject>Machine learning</subject><subject>Mathematics</subject><subject>opportunities</subject><subject>Physical Sciences</subject><subject>Risk assessment</subject><subject>Science &amp; Technology</subject><subject>Securities markets</subject><subject>Small business</subject><subject>Social research</subject><subject>Technological change</subject><issn>2227-7390</issn><issn>2227-7390</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ARHDP</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkU9v1DAQxaOKSq3anvgCkThwgC3xv9g-QqCwUlEv5WxN7PHWq6wdbK-qfnuyXVR6xBePRm_eG_2mad6S7pox3X3aQX1QpCOSqZPmnFIqV3Lpv3lVnzVXpWy75WnCFNfnzc-1w1iDfwpx034Jm_YrVHhf2rt5TrnuY6gBy8d2eIBpwrg51BBdu97NU7BQQ4qlDbG9CRGixcvm1MNU8Orvf9H8uvl2P_xY3d59Xw-fb1d2WaKuhPS9dMhActZRFE5b5qh0QJSmvQRgCoUgQjtnR-RUoxi9x3EknI8OJbto1kdfl2Br5hx2kJ9MgmCeGylvDOQa7IQGteakR-UZ77liXGOvgSIoGK3knixe745ec06_91iq2aZ9jsv6hgqutOJUHRI_HFU2p1Iy-pdU0pkDfvMK_6JWR_UjjskXG3CB8zKx4BdKUMrF4RJkCPUZ5JD2sf4L-p9R9geLDpfm</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Sun, Huidong</creator><creator>Rabbani, Mustafa Raza</creator><creator>Sial, Muhammad Safdar</creator><creator>Yu, Siming</creator><creator>Filipe, Jose Antonio</creator><creator>Cherian, Jacob</creator><general>Mdpi</general><general>MDPI AG</general><scope>17B</scope><scope>AOWDO</scope><scope>ARHDP</scope><scope>BLEPL</scope><scope>DTL</scope><scope>DVR</scope><scope>EGQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7TB</scope><scope>7X5</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K6~</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M7S</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-9263-5657</orcidid><orcidid>https://orcid.org/0000-0003-1264-4252</orcidid><orcidid>https://orcid.org/0000-0002-8530-6951</orcidid><orcidid>https://orcid.org/0000-0003-4394-1460</orcidid></search><sort><creationdate>20201001</creationdate><title>Identifying Big Data's Opportunities, Challenges, and Implications in Finance</title><author>Sun, Huidong ; Rabbani, Mustafa Raza ; Sial, Muhammad Safdar ; Yu, Siming ; Filipe, Jose Antonio ; Cherian, Jacob</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c390t-57f67de3a74302e5d9c3d27da189267aa38e55159ddcbe429e5bffebb144bde73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Automation</topic><topic>Big Data</topic><topic>challenges</topic><topic>Customer satisfaction</topic><topic>Data analysis</topic><topic>Debt financing</topic><topic>Decision making</topic><topic>economic models</topic><topic>Finance</topic><topic>Financial services</topic><topic>Food science</topic><topic>Information technology</topic><topic>Innovations</topic><topic>Machine learning</topic><topic>Mathematics</topic><topic>opportunities</topic><topic>Physical Sciences</topic><topic>Risk assessment</topic><topic>Science &amp; Technology</topic><topic>Securities markets</topic><topic>Small business</topic><topic>Social research</topic><topic>Technological change</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Huidong</creatorcontrib><creatorcontrib>Rabbani, Mustafa Raza</creatorcontrib><creatorcontrib>Sial, Muhammad Safdar</creatorcontrib><creatorcontrib>Yu, Siming</creatorcontrib><creatorcontrib>Filipe, Jose Antonio</creatorcontrib><creatorcontrib>Cherian, Jacob</creatorcontrib><collection>Web of Knowledge</collection><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science - Social Sciences Citation Index – 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Social Sciences Citation Index</collection><collection>Web of Science Primary (SCIE, SSCI &amp; AHCI)</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Entrepreneurship Database</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Engineering Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Mathematics (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Huidong</au><au>Rabbani, Mustafa Raza</au><au>Sial, Muhammad Safdar</au><au>Yu, Siming</au><au>Filipe, Jose Antonio</au><au>Cherian, Jacob</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying Big Data's Opportunities, Challenges, and Implications in Finance</atitle><jtitle>Mathematics (Basel)</jtitle><stitle>MATHEMATICS-BASEL</stitle><date>2020-10-01</date><risdate>2020</risdate><volume>8</volume><issue>10</issue><spage>1738</spage><pages>1738-</pages><artnum>1738</artnum><issn>2227-7390</issn><eissn>2227-7390</eissn><abstract>One of the latest innovations in business and technology is the use of big data, as daily data are 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, with our research aiming to identify the opportunities, challenges, and implications of big data in the finance area. It is our purpose to find competitive advantages in terms of the extent to which big data brings visible benefits, also pointing out the challenges that a company may face in this field, such as cases of customers' data security or customer satisfaction processes. The identification of this kind of dynamics allows us to draw conclusions on the advantages of big data based on these analyses and big data's deep impact on finance. In particular, big data is now commonly used by financial institutions and banks for analytical purposes in financial market contexts. We conducted an exploratory survey of the existing literature to highlight such connections. In the last part of our study, we also propose directions for future research.</abstract><cop>BASEL</cop><pub>Mdpi</pub><doi>10.3390/math8101738</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0002-9263-5657</orcidid><orcidid>https://orcid.org/0000-0003-1264-4252</orcidid><orcidid>https://orcid.org/0000-0002-8530-6951</orcidid><orcidid>https://orcid.org/0000-0003-4394-1460</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2227-7390
ispartof Mathematics (Basel), 2020-10, Vol.8 (10), p.1738, Article 1738
issn 2227-7390
2227-7390
language eng
recordid cdi_crossref_primary_10_3390_math8101738
source DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; MDPI - Multidisciplinary Digital Publishing Institute; Web of Science - Science Citation Index Expanded - 2020<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; Web of Science - Social Sciences Citation Index – 2020<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />
subjects Automation
Big Data
challenges
Customer satisfaction
Data analysis
Debt financing
Decision making
economic models
Finance
Financial services
Food science
Information technology
Innovations
Machine learning
Mathematics
opportunities
Physical Sciences
Risk assessment
Science & Technology
Securities markets
Small business
Social research
Technological change
title Identifying Big Data's Opportunities, Challenges, and Implications in Finance
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-04T02%3A22%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Identifying%20Big%20Data's%20Opportunities,%20Challenges,%20and%20Implications%20in%20Finance&rft.jtitle=Mathematics%20(Basel)&rft.au=Sun,%20Huidong&rft.date=2020-10-01&rft.volume=8&rft.issue=10&rft.spage=1738&rft.pages=1738-&rft.artnum=1738&rft.issn=2227-7390&rft.eissn=2227-7390&rft_id=info:doi/10.3390/math8101738&rft_dat=%3Cproquest_cross%3E2548984287%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2548984287&rft_id=info:pmid/&rft_doaj_id=oai_doaj_org_article_e99416e8f34648349e69a2ea8abc74f1&rfr_iscdi=true