Recent Development in Big Data Analytics for Business Operations and Risk Management
Tsan‐Ming Choi, Hing Kai Chan, Xiaohang Yue
Hong Kong Polytechnic University University of Nottingham Ningbo China University of Wisconsin–Milwaukee
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摘要与影响
"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.
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学科主题
计算机 / AIBig Data Technologies and Applications
Big Data and Business Intelligence · Digital Transformation in Industry