Finance analysis management system and method based on big data

Abstract

The embodiment of the invention provides a finance analysis management system and method based on big data. The system includes: a finance statement acquisition module, wherein the finance statement acquisition module is used for obtaining an original form of a plurality of financial statements of a target enterprise; a finance item extraction module, wherein the finance item extraction module isused for extracting a predetermined type financial item and a corresponding financial amount from the original form of the plurality of financial statements; a finance vector generation module, wherein the finance vector generation module is used for generating a financial vector; a finance vector identification module, wherein the finance vector identification module is used for matching the finance vector with a pre-trained finance vector identification model; a finance type output module, wherein the finance type output module is used for outputting a financial type corresponding to the target enterprise after determining the type of the finance vector. According to the finance analysis management system, the financial indexes in the financial statements can be comprehensively extractedand the comprehensive analysis on the basis of the machine learning can be performed, the regularity characteristics of the analysis objects in the financial information can be fully mined, and the analysis result is more comprehensive, meanwhile, the manpower cost is saved.

Description

technical field [0001] This application relates to the technical field of financial information systems, in particular to a big data-based financial analysis management system and method. Background technique [0002] With the advent of the cloud era, big data has attracted more and more attention. Big data is a massive, high-growth and diversified information asset, and it is a collection of large amounts of unstructured and semi-structured data generated by various activities in the information society. Capturing, managing, and processing this data set with an appropriate processing mode can generate stronger decision-making, insight discovery, and process optimization capabilities. Big data analysis is often associated with the hardware architecture of cloud systems, because real-time analysis of large data sets requires a framework like MapReduce to distribute work to tens, hundreds, or even thousands of computers. Big data also requires special storage, computing, and...

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Problems solved by technology

[0006] In view of the above-mentioned needs of the prior art, the purpose of this application is to propose a financial analysis management system and method based on big data to solve the problem that the traditional financial analysis methods in the prior art are not intelligent enough, and the types of indicators analyzed in the financial statements The scope of financial analysis is limited, the depth of excavation of the laws and characteristics of the analysis object is insufficient, and the technical problems of financial analysis results are limited.

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