Credit data collection method and system

Abstract

The invention provides a credit data collection method and system. The method comprises the steps of writing access configuration information corresponding to access data according to a data configuration unit to form an access component corresponding to the access data; writing decryption configuration information corresponding to the access data according to an encryption/decryption service unitto form a decryption component corresponding to the access data; writing message information corresponding to the access data according to a message processing unit to form a message analysis component corresponding to the access data; writing data storage information corresponding to the access data according to a data formatting unit to form a data storage component corresponding to the accessdata; and running the access component, the decryption component, the message analysis component and the data storage component corresponding to the data according to the current access data to collect the current data. The credit data collection efficiency can be improved and the collection cost can be reduced.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for collecting credit information data. Background technique [0002] The construction of the credit system is an important part of building a socialist market economy with Chinese characteristics. At present, my country has initially established a credit record system in line with national conditions. At present, the financial industry supplements internal data through the reference of external credit information big data (data sources come from departments such as industry and commerce, justice, customs, operators, airlines, etc.), to solve the problem of information asymmetry, and to better carry out marketing and risk control. [0003] There are many types of external credit big data, different data sources (for example, data sources include data service providers and governments), different data structures, and large data volumes. The existing collect...

AI Technical Summary

Problems solved by technology

After compiling this way, it is very difficult if you need to change this variable later

Under normal circumstances, you should avoid the use of hard coding methods) to increase the time of data access, increase the workload of data access, and not conducive to maintenance;

[0005] Second, after the source data structure changes in the later period, the code needs to be rewritten, which increases the maintenance cost

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