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Enterprise financial risk model based on cloud computing in age of big data

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Abstract

In the era of BD, enterprises often face risks of financial exposure in the development process. If they cannot find and solve risks of financial exposure in time, they are likely to break the development of enterprises and bring huge losses to enterprises. CC in security intelligence services provides technical support and guarantee for solving enterprise risk of financial exposure analysis problems. Based on this, this paper studied the enterprise risk of financial exposure analysis model based on CC in the age of BD and designed experiments to evaluate the analysis effect of the enterprise risk of financial exposure analysis model built by CC. In the inventory risk investigation, it was concluded that the enterprise risk of financial exposure analysis model based on CC can reduce the enterprise inventory risk. In the investigation of business risk, it was concluded that after the enterprise risk of financial exposure analysis model based on CC was used to analyze the enterprise risk of financial exposure, the enterprise’s business risk score showed a significant downward trend, and the business risk score is below 60 except for Enterprise 5. In the investigation of investment risk, it was concluded that the enterprise risk of financial exposure analysis model based on CC can reduce the investment risk of enterprises. In the survey of financing risks, it was concluded that when the enterprise risk of financial exposure analysis model based on CC was used for analysis, the financing risks of enterprises are reduced to varying degrees. In the performance analysis of enterprise risk of financial exposure analysis model based on CC, it was concluded that the enterprise risk of financial exposure analysis model based on CC can improve the efficiency, accuracy, effectiveness and security of enterprise risk of financial exposure analysis compared with conventional models. Security intelligence services have great potential in the field of enterprise risk of financial exposure analysis.

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  1. Business College, Shandong Normal University, Jinan, 250399, Shandong, China

    Wenzhuo Han

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  1. Wenzhuo Han
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Correspondence to Wenzhuo Han.

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Han, W. Enterprise financial risk model based on cloud computing in age of big data. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08362-y

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