Credit data processing method and system

Abstract

The invention discloses a disposal system of credit data, which comprises the following parts: gathering subsystem, analysis subsystem, database server, interface subsystem, releasing subsystem, charging subsystem, monitoring subsystem and maintenance subsystem, wherein the gathering system obtains the source data through electronic business platform; the analysis subsystem proceeds analytical disposal of source data; the database server stores and maintains the credit data; the interface subsystem shares the credit data; the releasing subsystem publishes the credit data; the charging subsystem charges the data share; the monitoring subsystem monitors the credit data through the preset regular; the maintenance subsystem maintains the credit data by artificial operation. The invention satisfies the need of credit system in the business domain and reduces the service cost, which avoids the social resource waste.

Description

technical field [0001] The invention relates to a data processing method and system, in particular to a method and system for processing credit data of audited objects applied in the field of electronic commerce. Background technique [0002] E-commerce applications relying on information technologies such as the Internet are currently being popularized and developed at an astonishing speed worldwide. In fact, e-commerce is gradually becoming an increasingly important part of the entire social and economic activities. With the popularization and development of e-commerce, people pay more and more attention to the credit data of people or enterprises participating in commercial activities. Real and reliable credit data can help both parties in commercial transactions to have a certain understanding and help reduce the cost of commercial transactions. risk. [0003] However, due to the characteristics of e-commerce itself, it is completely different from various traditional ...

AI Technical Summary

Problems solved by technology

However, it is unrealistic to require all enterprises or natural persons who need credit data to establish their own credit data processing system, and such redundant construction work is a great waste of resources

Therefore, in the field of e-commerce, the sharing of credit data is very much needed, but the existing credit data processing system cannot achieve this

[0006] Even if the credit data of the existing credit data processing system can be shared, it cannot meet the needs of e-commerce for credit data

Because traditional credit data processing systems usually have a relatively fixed credit model (applicable to a specialized agency), and once this credit model is established, it will rarely be easily modified

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