Auditing big data processing method and system

Abstract

The invention belongs to the technical field of auditing data processing, and discloses an auditing big data processing method and system. The auditing big data processing system comprises an auditingdata acquisition module, a structured processing module, an auditing data storage module, a central processing module, an auditing data preprocessing module, a feature extraction module, an auditingdata analysis processing module, an auditing data output module and an auditing data updating display module. According to the auditing big data processing method provided by the invention, the to-be-processed original auditing data is extracted into the structured data to form the searchable two-dimensional table structure, so that the generation of subsequent auditing data is facilitated, the manual intervention is avoided, the efficiency is improved, and the auditing intelligence and accuracy are high. Meanwhile, the auditing data acquisition quality is improved through the auditing data preprocessing module and an ETL tool, a distributed file system is adopted for audit data storage, the capacity bottleneck of audit data storage is solved, and safety of auditing data is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of audit data processing, and in particular relates to an audit big data processing method and system. Background technique [0002] Big data, or huge amount of data, refers to the amount of data involved is so large that it cannot be captured, managed, processed, and organized within a reasonable time through current mainstream software tools to help enterprises make business decisions. Information with a more positive purpose. Big data has 4V characteristics: Volume (large amount), Velocity (high speed), Variety (variety), and Value (value). Big data requires special techniques to efficiently handle large volumes of data that tolerate elapsed time. However, the traditional audit method based on big data is not accurate enough in terms of purpose and selectivity in data collection, which leads to bloated data and affects the audit analysis results. Therefore, there is an urgent need for a new audit big d...

AI Technical Summary

Problems solved by technology

[0003] Through the above analysis, the existing problems and defects of the existing technology are: the traditional audit method based on big data is not accurate enough in terms of purpose and selectivity in data collection, which leads to bloated data and affects the audit analysis results

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