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Customer risk early warning method, apparatus, computer device and medium

A risk early warning and risk prediction technology, applied in the computer field, can solve problems that affect the accuracy of customer risk early warning, single data dimension, and limited factors that can be considered by humans at the same time

Active Publication Date: 2019-01-25
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the different angles of customer-related information that different risk control personnel pay attention to, and the factors that can be considered by humans at the same time are limited, the data dimension used for risk analysis is often single, which ultimately affects the accuracy of customer risk warnings.

Method used

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  • Customer risk early warning method, apparatus, computer device and medium
  • Customer risk early warning method, apparatus, computer device and medium
  • Customer risk early warning method, apparatus, computer device and medium

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Embodiment Construction

[0021] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0022] The customer risk early warning method provided by this application can be applied to such as figure 1 shown in the application environment. The terminal 102 and the server 104 communicate through a network. Wherein, the terminal 102 can be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices, and the server 104 can be realized by an independent server or a server cluster composed of multiple servers. When it is necessary to perform risk prediction on target customers, the user may send a...

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PUM

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Abstract

The present application relates to a customer risk early warning method, apparatus, computer device and storage medium based on big data analysis. The method comprises the following steps of: acquiring basic risk data of a target customer, wherein the basic risk data comprises an industry identification; extracting a basic risk index of the basic risk data; acquiring associated risk data of the target customer; determining an associated risk index corresponding to the target customer according to the associated risk data; obtaining a corresponding risk prediction model according to the industry identification; inputting the basic risk index and the associated risk index into the risk prediction model, outputting to obtain a corresponding risk score, and carrying out customer risk early warning based on the risk score. The method can improve the accuracy of risk early warning.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a customer risk early warning method, device, computer equipment and media. Background technique [0002] In order to avoid risks, financial institutions involved in the loan business need to provide customer risk warnings to customers after lending. Customer risk early warning refers to the early detection of loan risks through on-site inspection or off-site inspection and other post-loan inspections using quantitative and qualitative analysis methods, and timely early warning, so that business personnel can take targeted measures for problem loans according to the prescribed authority and procedures. Sexual treatment measures. [0003] In order to improve the timeliness of risk early warning, financial institutions often use computers to carry out risk early warning. However, most of the data used by computers for risk analysis is customer-related information lear...

Claims

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Application Information

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IPC IPC(8): G06Q40/02
CPCG06Q40/03
Inventor 陈凯帆叶素兰李国才王芊宋哲吴雨甜
Owner PING AN TECH (SHENZHEN) CO LTD
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