Enterprise competitiveness analysis method

Abstract

The invention provides an enterprise competitiveness analysis method. The method comprises the steps of obtaining 13-dimensional indexes of a to-be-analyzed enterprise of a core supermarket upstream supply chain; generating an original index matrix; establishing a correlation coefficient matrix; calculating eigenvalues of the correlation coefficient matrix, and sorting the eigenvalues in sequence from small to large; setting a contribution degree threshold value, and screening out a corresponding characteristic value when the cumulative contribution degree is greater than the contribution degree threshold value by utilizing PCA so as to obtain a corresponding original index as a principal component index; constructing an evaluation system function, and calculating the competitiveness score of the to-be-analyzed enterprise based on the principal component indexes of the to-be-analyzed enterprise. The method is beneficial to screening of commodity suppliers with higher quality and elimination of defective suppliers, and a scientific and effective evaluation system is formed, so a good cycle of consumption feedback screening of competitive evaluation suppliers is realized.

Description

technical field [0001] The invention relates to the field of big data analysis in the supermarket industry, in particular to a method for analyzing enterprise competitiveness. Background technique [0002] The existing traditional financial credit evaluation is mainly based on the financial status data of the enterprise to evaluate the credit rating of the enterprise, and the financial data of the enterprise is filled in by the enterprise. Due to the fact that there are false reports or no professional audit, there is a problem of information distortion, which cannot be based on Relevant data are used to scientifically and effectively evaluate and analyze the credit of relevant enterprises. Especially for the traditional retail industry, the commodities involved in the traditional retail industry are related to people's livelihood, and ensuring food safety and improving product quality are the foundation of people's livelihood. Analyzing and evaluating the competitiveness of...

AI Technical Summary

Problems solved by technology

[0002] The existing traditional financial credit evaluation is mainly based on the financial status data of the enterprise to evaluate the credit rating of the enterprise, and the financial data of the enterprise is filled in by the enterprise. Due to the fact that there are false reports or no professional audit, there is a problem of information distortion, which cannot be based on Relevant data for scientific and effective evaluation and analysis of the credit of relevant enterprises

Especially for the traditional retail industry, the commodities involved in the traditional retail industry are related to people's livelihood, and ensuring food safety and improving product quality are the foundation of people's livelihood. Analyzing and evaluating the competitiveness of core suppliers and super-upstream suppliers will help to screen out better products Suppliers and elimination of bad suppliers are of great significance to ensure food safety and improve product quality. At present, the retail industry has not yet formed a scientific and perfect evaluation system, so how to obtain real enterprise data and form a scientific evaluation system , it is very necessary to conduct scientific and accurate competitiveness analysis on the super upstream suppliers of core business

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