Abnormal financial data processing method and device, equipment and storage medium

Abstract

The invention relates to the field of big data, and discloses an abnormal financial data processing method and device, equipment and a storage medium. The method comprises the steps of obtaining abnormal financial data, and performing business logic splitting on the abnormal financial data based on a preset cross-point design principle to obtain financial node information; performing anomaly analysis on the financial node information by adopting a preset anomaly index to obtain an anomaly analysis result, and extracting a plurality of abnormal financial nodes from the financial node information according to the anomaly analysis result; sorting the abnormal financial nodes by adopting a preset sorting algorithm, and constructing an optimal processing scheme corresponding to the abnormal financial data based on the sorted abnormal financial nodes; and processing the abnormal financial data corresponding to the abnormal financial nodes of each sorting algorithm by adopting the optimal processing scheme to obtain corrected financial data. According to the invention, automatic correction of abnormal financial data is realized, and the timeliness of financial accreditation is improved at the same time.

Description

technical field [0001] The present invention relates to the field of big data, in particular to a method, device, equipment and storage medium for processing abnormal financial data. Background technique [0002] Based on the discovery in the certification process of the i17 (International Financial Reporting Standard No. 17) accounting engine, there are some data processing failures in the data processing process. This part of the data is mainly due to the network and input conditions when calling the third-party external interface. Issues such as the inability to return the information required in the processing process, or the upstream problems of the data make it impossible to generate the information required in the data processing process in a timely manner, resulting in the failure of business data certification. [0003] For the existing design scheme, the unified processing starts from a fixed source. The disadvantage of this is that the whole process is too rigid. ...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to solve the problem that in the prior art, when there is a large amount of data that fails to produce certificates, manual intervention is required to modify and adjust the script to process this part of the data, which affects the timeliness of certificate production

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