Open AccessResearch on Enterprise Risk Identification and Early Warning System based on Big Data Background
Author(s) -
Weiyang Zeng,
Yining Jin
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1302/4/042001
Subject(s) - big data , identification (biology) , corporate governance , warning system , context (archaeology) , risk management , risk analysis (engineering) , computer science , business , early warning system , risk governance , enterprise risk management , computer security , data science , knowledge management , data mining , finance , telecommunications , paleontology , botany , biology
Big data is a powerful tool which can modernize governance systems and improve governance for current public governance. Based on that, this paper discussed the research on situation of enterprise risk identification and early warning system under the background of big data. At first, the paper integrated the definitions of risk and enterprise risk management by domestic and foreign experts. Secondly, the author put forward that the development of risk identification and intelligent early warning is inevitable in the era of big data, and gave suggestions for improving the early warning system. Finally, the paper described the prospects of risk identification and early warning systems in the context of big data in the future. In summary, it is important to establish a closed-loop management chain of data security protection.