Recent Development in Big Data Analytics for Business Operations and Risk Management
"Big data" is an emerging topic and has attracted the attention of many researchers and practitioners in industrial systems engineering and cybernetics. Big data analytics would definitely lead to valuable knowledge for many organizations. Business operations and risk management can be a b...
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| Veröffentlicht in: | IEEE transactions on cybernetics 2017-01, Vol.47 (1), p.81-92 |
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| container_title | IEEE transactions on cybernetics |
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| creator | Choi, Tsan-Ming Chan, Hing Kai Yue, Xiaohang |
| description | "Big data" is an emerging topic and has attracted the attention of many researchers and practitioners in industrial systems engineering and cybernetics. Big data analytics would definitely lead to valuable knowledge for many organizations. Business operations and risk management can be a beneficiary as there are many data collection channels in the related industrial systems (e.g., wireless sensor networks, Internet-based systems, etc.). Big data research, however, is still in its infancy. Its focus is rather unclear and related studies are not well amalgamated. This paper aims to present the challenges and opportunities of big data analytics in this unique application domain. Technological development and advances for industrial-based business systems, reliability and security of industrial systems, and their operational risk management are examined. Important areas for future research are also discussed and revealed. |
| doi_str_mv | 10.1109/TCYB.2015.2507599 |
| format | Article |
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Important areas for future research are also discussed and revealed.</description><subject>Analytics</subject><subject>Big Data</subject><subject>Big data analytics</subject><subject>Bismuth</subject><subject>business intelligence (BI)</subject><subject>Business operations</subject><subject>Cloud computing</subject><subject>Cybernetics</subject><subject>Data analysis</subject><subject>Data collection</subject><subject>Data mining</subject><subject>Mathematical analysis</subject><subject>operational risk analysis</subject><subject>operations management</subject><subject>Radiofrequency identification</subject><subject>Risk management</subject><subject>Systems engineering</subject><subject>systems reliability and security</subject><subject>Wireless sensor networks</subject><issn>2168-2267</issn><issn>2168-2275</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1LAzEQhoMotqg_QAQJePHSmsluPvbYD79AEUo9eFqy2WlJ3e7Wza7Qf2_W1h7MIRkmz7wwDyGXwIYALLmbTz7GQ85ADLlgSiTJEelzkHrAuRLHh1qqHrnwfsXC0aGV6FPSC10pIy36ZD5Di2VDp_iNRbVZd7Ur6dgt6dQ0ho5KU2wbZz1dVDUdt96V6D1922BtGleVnpoypzPnP-mrKc0Su4RzcrIwhceL_XtG3h_u55Onwcvb4_Nk9DKwUaKagYl1DItEGg2xyGSMwvLQEwaiODM8tkxqLWwSRRkzVkK4QCEXWZ4rsLmOzsjtLndTV18t-iZdO2-xKEyJVetT0AI4KJVAQG_-oauqrcNyvxTjQakQgYIdZevK-xoX6aZ2a1NvU2BpZz3trKed9XRvPcxc75PbbI35YeLPcQCudoBDxMO3ipSOpYh-AE1AhCs</recordid><startdate>201701</startdate><enddate>201701</enddate><creator>Choi, Tsan-Ming</creator><creator>Chan, Hing Kai</creator><creator>Yue, Xiaohang</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| source | IEEE Electronic Library (IEL) |
| subjects | Analytics Big Data Big data analytics Bismuth business intelligence (BI) Business operations Cloud computing Cybernetics Data analysis Data collection Data mining Mathematical analysis operational risk analysis operations management Radiofrequency identification Risk management Systems engineering systems reliability and security Wireless sensor networks |
| title | Recent Development in Big Data Analytics for Business Operations and Risk Management |
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