A big data-based enterprise data mining system and method

Abstract

The present invention relates to an enterprise data mining system and method based on big data. The data statistics management server based on big data of the system establishes data connections with several relay servers through the communication gateway, and the relay server communicates with at least one relay server through the communication gateway. The data screening server establishes a data connection; and several relay servers establish a data connection with the data statistics management server based on big data through the data screening server and the communication gateway to form a data screening channel. The data mining method includes system networking, system prefabrication, and data mining. Four steps of screening collection and data mining. On the one hand, the system structure of the present invention is simple, which effectively reduces the cost and difficulty of data mining system construction and maintenance operations; on the other hand, it can perform in-depth simulation operation analysis according to the collected data, so as to obtain hidden data and enterprise-related data in enterprise operation Development law and enterprise data simulation model.

Description

technical field [0001] The invention belongs to the technical field of data communication and big data processing, and relates to a big data-based enterprise data mining system and method. Background technique [0002] At present, in the operation of enterprises, it is often necessary to consolidate and analyze the personnel attendance, financial data, production indicators, and inventory data of the enterprise to comprehensively and accurately grasp the state of the enterprise. In order to meet this need, although there are currently software systems such as ERP that can Realize relevant data analysis, but on the one hand, these systems currently have difficulty in system networking. In the process of networking, it is often necessary to set up a dedicated communication network, and a third party is required to provide network system operation service support, which leads to its operation and maintenance costs. Relatively high, and there is a risk of data leakage; on the ot...

AI Technical Summary

Problems solved by technology

[0002] At present, in the operation of enterprises, it is often necessary to consolidate and analyze the personnel attendance, financial data, production indicators, and inventory data of the enterprise to comprehensively and accurately grasp the state of the enterprise. In order to meet this need, although there are currently software systems such as ERP that can Realize relevant data analysis, but on the one hand, these systems currently have difficulty in system networking. In the process of networking, it is often necessary to set up a dedicated communication network, and a third party is required to provide network system operation service support, which leads to its operation and maintenance costs. Relatively high, and there is a risk of data leakage; on the other hand, these current data analysis systems can only perform simple statistical processing on existing data, but cannot conduct in-depth data mining analysis on the operating status of enterprises based on existing data, thereby As a result, the data analysis results obtained by the current system are relatively low for enterprise operation reference, and cannot provide accurate data reference for enterprise operation and decision-making

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