Intelligent financial system financial data automatic generation method and intelligent financial system

Abstract

The invention discloses an intelligent financial system financial data automatic generation method and an intelligent financial system. The intelligent financial system comprises a data collecting and processing subsystem, a diagnosis and analysis subsystem, and a scheme generation subsystem. The data collecting and processing subsystem comprises an SPSS software module, a data sorting module, a basic database module, a clustering analysis module, an index system module, and a standard database module. The diagnosis and analysis subsystem comprises a factor analysis module, a key factor determining module, an index decomposition module, a trend analysis module, and a result analysis module. The scheme generation subsystem comprises a subject diagnosis and factor evaluation module, a scheme theme formulation module, and a basic scheme generation module. According to the method, by adopting the system and applying a data mining technology in financial diagnosis and data generation, the competitiveness of enterprises is improved.

Description

technical field [0001] The invention relates to the technical field of financial system data processing methods, and in particular to a method for automatically generating financial data in an intelligent financial system and an intelligent financial system thereof. Background technique [0002] In the era of information explosion, people have more ways to obtain information. Obtaining all kinds of needed information from the Internet has become the main source of information. Investors try to obtain valuable information, so as to provide data support information for future investment decisions. Enterprises have accumulated a large amount of data in their operation and management, and various financial websites also publish information on major listed companies every day. Managers need to analyze these data and make various decisions. Although information systems are used more and more widely in business management activities, how to efficiently find useful information is st...

AI Technical Summary

Problems solved by technology

In order to make decisions more realistic and effective, managers need to selectively process massive amounts of data, which is also extremely time-consuming

[0003] Massive information has brought many negative effects to people, the most important is that there are too many useless information and it is difficult to extract effective information

Too much useless information will inevitably affect the timeliness of managers' decision-making, and will also cause information distortion. It is difficult to extract effective information, which will inevitably lead to a sharp increase in management costs

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