Business performance improvement assessment method and system based on big data

Abstract

The invention discloses a business performance improvement assessment method and system based on big data. The method includes the following steps: searching for businesses of the same industry as a business to be assessed among listed companies, and forming a benchmarking business pool; calculating a performance improvement value of the current year of the business to be assessed according to an adjustment value of a performance value of the current year of the business to be assessed and a performance value of the last year; determining a maximum value, an average value and a minimum value of the performance improvement values in the benchmarking business pool; and determining the position of the performance improvement value of the current year of the business to be assessed in the benchmarking business pool according to the determined maximum value, average value and minimum value, and calculating a performance improvement score of the business to be assessed according to the determined position. According to the business performance improvement assessment method based on big data, the benchmarking business pool is built based on a big data analysis technology, the performance improvement score of a business is quantitatively judged through comparison with performance improvement degrees of listed companies of the same industry in the benchmarking business pool, the improvement degree of the performance of the business itself can be reflected, and the assessment result is relatively objective, scientific and comprehensive. The method provided by the invention can be widely applied to the field of data mining.

Description

technical field [0001] The invention relates to the field of data mining, in particular to a method and system for evaluating enterprise performance improvement based on big data. Background technique [0002] With the continuous development and maturity of my country's market economy, benchmarking assessment is recognized as a reasonable and effective performance assessment method. The current benchmarking assessment method usually benchmarks the enterprise index value with the benchmark, which can directly reflect the gap between the enterprise and the benchmark, but cannot reflect the degree of improvement of the enterprise itself. In reality, the performance value of an enterprise's operations is closely related to factors such as its current industry status, its own operating level, and its capital composition. When these factors are left over from history, the existing benchmarking assessment should be used It is one-sided to evaluate new business operators from the p...

AI Technical Summary

Problems solved by technology

The current benchmarking assessment method usually benchmarks the enterprise index value with the benchmark, which can intuitively reflect the gap between the enterprise and the benchmark, but cannot reflect the degree of improvement of the enterprise itself

In reality, the performance value of an enterprise's operations is closely related to factors such as its current industry status, its own operating level, and its capital composition. When these factors are left over from history, the existing benchmarking assessment should be used It is one-sided to evaluate new business operators from the perspective of performance, and it cannot objectively reflect the performance improvement value brought about by the efforts of these business operators. It is not objective, scientific and comprehensive enough.

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