Enterprise life cycle analysis method and system based on big data

Abstract

The invention relates to an enterprise life cycle analysis method and system based on big data, and the method comprises the steps: obtaining operation correlation data of a target enterprise; carrying out the multidimensional filtering preprocessing of the operation correlation data; analyzing the operation correlation data in a preset model after filtering preprocessing, so as to determine the abnormal data of the operation correlation data after filtering preprocessing; analyzing the abnormal data and obtaining the life cycle information of the target enterprise. The method employs multi-data-source convergence and big-data distributed calculation, i.e., the distributed calculation of a data decrease channel model of the target enterprise on the basis of modeling, thereby achieving a real-time effect of completing the calculation of the data decrease channel model of the enterprise after modeling. The method can obtain a result that the data of the target enterprise is in an abnormal decrease state, carries out the early warning against the operation abnormality, achieves the multi-data-source convergence analysis, achieves the technical purpose of operation data analysis and enterprise early warning and prompt, and effectively reduces the financial risks of the operation of the enterprise.

Description

technical field [0001] The invention relates to the field of Internet big data analysis, in particular to a big data-based enterprise life cycle analysis method and system. Background technique [0002] Enterprises are an important element in the development of a country. With the continuous deepening of my country's reform and opening up and the continuous advancement of entrepreneurship, the number of small, medium and micro enterprises is increasing day by day. [0003] The research on the life cycle of enterprises is an important research direction for the law of enterprise development. The purpose is to find development adaptation points for enterprises, especially small and medium-sized enterprises, and to seek a better development model to maintain the development momentum of enterprises. [0004] At present, most of the research methods and systems on the enterprise life cycle are still in the stage of theoretical exploration, with low accuracy of conclusions and poo...

AI Technical Summary

Problems solved by technology

[0004] At present, most of the research methods and systems on the enterprise life cycle are still in the stage of theoretical exploration, with low accuracy of conclusions and poor early warning effect

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