Enterprise non-bank information query method

Abstract

The invention discloses an enterprise non-bank information query method. The enterprise non-bank information query method comprises: S1, authenticating the authority of a user after a query inquest input by the user is received, and continuing to carry out a step S2 after determining that the user has the authority of query; S2, analyzing the query request to obtain a corresponding query logic field and sending the query logic field to a non-bank information database; S3, obtaining query logic primary tables one by one and judging whether one query logic primary table matched with the query logic field exists, and if so, obtaining and storing all logic fields corresponding to the query logic primary table and then carrying out a step S4, otherwise, generating a corresponding data missing log; and S4, querying one by one according to the logic fields and obtaining corresponding data tables. The enterprise non-bank information query method is capable of obtaining the non-bank information of an enterprise through automatic query, and is short in time taken, high in query efficiency and accuracy, good in adaptability and excellent in experience of users, and can be widely applied to the field of enterprise non-bank information query.

Description

technical field [0001] The invention relates to the field of information inquiry, in particular to an enterprise non-bank information inquiry method. Background technique [0002] In recent years, with the country's emphasis on the construction of a social credit system, more and more enterprises and financial institutions have begun to attach importance to enterprise information. In the process of enterprise financing, banking institutions need to inquire and verify the information and data of enterprises. Non-banking information refers to the information of enterprises in non-banking departments outside the banking system, mainly including: government information distributed in government departments such as industry and commerce, national taxation, and local taxation, as well as information on public utilities in water, electricity, and gas departments, and electricity. Information on third-party public service platforms such as merchants and logistics. At present, ther...

AI Technical Summary

Problems solved by technology

At present, when enterprises or banks and other financial institutions inquire about enterprise non-bank information, they go to the external service window of various government departments to inquire about enterprise non-bank information. Although this method is feasible, it has the following disadvantages: 1. The information is scattered in different government departments such as industry and commerce, quality supervision, and taxation. It is necessary to go to the service window of each government department to inquire about the information of the enterprise, and it takes a long time to complete all the inquiries; 2. The existing inquiry method is artificial Go to different departments for information query. After the query, the query results need to be aggregated and compared manually, which wastes manpower, is prone to errors, and has a low accuracy rate; 3. The existing query methods generally take a long time. The corresponding approval process is relatively long

Generally speaking, the current query method cannot realize automatic query, and it takes a long time, and the information query cannot be obtained immediately. The efficiency is low, the accuracy rate is low, and it cannot meet the needs of use

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