Enterprise risk prediction method and device
A risk forecasting and enterprise technology, applied in data processing applications, finance, instruments, etc., can solve problems such as large subjective factors, lack of staffing, insufficient market insight and enterprise risk forecasting ability, etc., to improve survivability, avoid effect of risk
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Embodiment 1
[0046] In order to solve the current problem of inconsistent standards and uneven accuracy in the process of enterprise risk prediction mainly relying on the subjective judgment of analysts or managers, this embodiment provides an enterprise risk prediction method based on the historical basic data of the enterprise , form a unified prediction standard, and realize the automatic prediction of enterprise risks. High accuracy, avoiding inaccurate prediction results due to insufficient analyst capabilities, leading to wrong decisions for enterprises.
[0047] See figure 1 , figure 1 It is a schematic flow chart of the enterprise risk forecasting method of this embodiment, and the method includes:
[0048] S101. Obtain the basic data of the enterprise. The basic data includes basic industrial and commercial registration information, industry information, legal information, change information, and legal information of affiliated companies that have an associated relationship with...
Embodiment 2
[0070] On the basis of the first embodiment, this embodiment provides an enterprise risk prediction device, which is used to realize the steps of the enterprise risk prediction method described in the first embodiment above, please refer to figure 2 , figure 2 A schematic structural diagram of an enterprise risk prediction device provided in this embodiment, the enterprise risk prediction device 20 includes a model building module 21 and a risk prediction module 22; wherein the model building module 21 includes a first acquisition sub-module 211, a structured sub-module 212 , a data processing submodule 213 , and a training submodule 214 ; the risk prediction module 22 includes a second acquisition submodule 221 and a risk prediction submodule 222 .
[0071] Among them, the first acquisition sub-module 211 is used to acquire the basic data of the enterprise, and the basic data includes the basic information of industrial and commercial registration, industry information, leg...
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