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An Intelligent Classification Method of Multisource Enterprise Financial Data Based on SAS Model.

Xiuyan Xu1

  • 1Xijing University, Xi'an, Shaanxi 710123, China.

Computational Intelligence and Neuroscience
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PubMed
Summary

This study introduces an intelligent classification model for enterprise financial data, improving efficiency and accuracy. The model accurately predicts future financial trends with minimal error, benefiting business development.

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Area of Science:

  • Financial Management
  • Data Science
  • Machine Learning

Background:

  • Enterprises face challenges with large volumes of financial data, making manual analysis inefficient and prone to errors.
  • Analyzing multisource corporate financial data and identifying correlations is time-consuming and complex for financial professionals.
  • Lack of accurate data correlation hinders effective financial strategies for enterprise development.

Purpose of the Study:

  • To develop an intelligent classification model for enterprise financial multisource data.
  • To accurately predict future corporate financial development trends.
  • To enhance the efficiency and accuracy of corporate financial management.

Main Methods:

  • Utilized an intelligent classification model inspired by the SAS model.
  • Combined clustering and decision tree methods for financial data classification.
  • Employed neural network methods for forecasting future financial trends.

Main Results:

  • Achieved a maximum classification error of only 3.71% for enterprise financial data.
  • Attained a forecast error of merely 1.77% for future enterprise financial development trends.
  • Demonstrated significant improvements in the efficiency of corporate financial management.

Conclusions:

  • The intelligent classification method effectively classifies multisource financial data with high accuracy.
  • The model provides reliable predictions of future financial trends within an acceptable error margin.
  • This approach substantially enhances corporate financial management and supports strategic decision-making.