大数据分析在商业运营与风险管理中的最新进展

Recent Development in Big Data Analytics for Business Operations and Risk Management

IEEE Transactions on Cybernetics · 2016
被引 276 · 同刊同年前 6%
ABS 3

中文导读

本文综述了大数据分析在商业运营与风险管理中的应用挑战与机遇,探讨了工业系统技术发展、可靠性与安全性,并指出了未来研究方向。

Abstract

"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.

大数据商业分析风险管理工业系统工程