Reconciliation method, apparatus, computer device and storage medium

Abstract

The present application relates to the technical field of business process optimization and is applied to the financial industry, and provides a reconciliation method, an apparatus, a computer deviceand a storage medium. The methods include: obtaining information flow data and fund flow data of the process node to be reconciled, extracting service information corresponding to the information flowdata and the fund flow data respectively, checking the service information and obtaining a first checking result, When there is no error data in the first check result, the detailed account data andthe book balance data in the fund flow data are extracted, the detailed account data and the book balance data are checked, and the second check result is obtained. When there is no error data in thesecond check result, the reconciliation process node is marked and the reconciliation success information is output. Through layer-by-layer reconciliation, the reconciliation efficiency is improved bychecking the detailed data on the premise that the overall data reconciliation is consistent; By marking the process node, the account information of the process node can be checked repeatedly due todifferent checking tasks, which saves the data processing amount and improves the processing efficiency.

Description

technical field [0001] The present application relates to the technical field of business process optimization, in particular to an account reconciliation method, device, computer equipment and storage medium. Background technique [0002] With the rapid development of information technology, there are more and more business types and quantities of enterprises and companies. In order to ensure the correctness of various information and funds, the accompanying account verification pressure is also increasing. [0003] In the traditional reconciliation process, it is mainly carried out by comparing financial data one by one. When the financial reconciliation data is huge, the reconciliation efficiency is not high, and reconciliation is prone to inaccuracy. When multi-party data is involved, for example, the credit insurance business involves the client, capital and underwriter, financial personnel need to obtain business data through the business side, financial data through t...

AI Technical Summary

Problems solved by technology

[0003] In the traditional reconciliation process, it is mainly carried out by comparing financial data one by one. When the financial reconciliation data is huge, the reconciliation efficiency is not high, and reconciliation is prone to inaccuracy

When multi-party data is involved, for example, the credit insurance business involves the client, capital and underwriter, financial personnel need to obt

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