TSAN MING CHOIChan H.K.Yue X.2022-05-302022-05-302017https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007608251&doi=10.1109%2fTCYB.2015.2507599&partnerID=40&md5=6fc5fc351184895b1023e6c972beea2ehttps://scholars.lib.ntu.edu.tw/handle/123456789/612264"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. ? 2016 IEEE.Big data analytics; business intelligence (BI); operational risk analysis; operations management; systems reliability and securityInformation management; Reliability analysis; Risk analysis; Risk assessment; Risk management; Wireless sensor networks; Business operation; Data analytics; Industrial systems; Internet based system; Operational risk managements; Operational risks; Operations management; Technological development; Big datajournal article10.1109/TCYB.2015.25075992-s2.0-85007608251