Working behavior analysis method and system based on massive user operation behavior data

Abstract

The invention provides a working behavior analysis method and a system based on massive user operation behavior data. The method comprises steps: a focus application ID, a focus application starting time point T1, a focus application ending time point T2, operation time points for the focus application when operation events happen between the T1 time period and the T2 time period, and a login account ID corresponding relationship are acquired to form a piece of behavior analysis data; a real-time data analysis or a user-defined offline data analysis method is adopted, based on a role of each login account ID, operation behavior data stored in a real-time data storage area and an offline data storage area are analyzed, and an analysis result is obtained. The method of the invention has the advantages that working behavior data of an employee can be thoroughly, objectively, and effectively acquired in real time, real-time and offline data analysis can be carried out, effective employee working behavior data can be provided for an enterprise operator or a team manager, and data support is provided for fine management by the enterprise.

Description

technical field [0001] The invention belongs to the technical field of intelligent data analysis, and in particular relates to a work behavior analysis method and system based on massive user operation behavior data. Background technique [0002] With the increasingly fierce market competition, refined management of personnel has been widely absorbed by all walks of life as a spirit and concept, incorporated into corporate culture, and become an important form of competition in the market economy. The key factor for the success or failure of an enterprise's future competition. [0003] Effective and reasonable fine-grained management methods can gradually change the working attitude and working style of employees, improve the professional quality and professional ethics of employees, and finally change the company's style and promote the company's development. [0004] However, the basic link of the refined management method is: the need to grasp the employee's work behavio...

AI Technical Summary

Problems solved by technology

[0004] However, the basic link of the refined management method is: the need to grasp the employee's work behavior. In the existing technology, the employee's work behavior is mainly obtained through the observation of the manager. The following problems exist in the acquisition method of the employee's work behavior: ( 1) It is highly subjective and has high requirements for the comprehensive quality of the managers themselves. If there is a problem with the managers themselves, there will be more serious consequences

(2) The obtained data on employee work behavior is not comprehensive, and it is impossible to fully grasp the overall working status of employees

(3) It is impossible to grasp the employee's work behavior in real time, which has a certain lag

[0005] Therefore, how to effectively solve the problem of employee work behavior data acquisition, so as to improve the work efficiency of employees during working hours, reduce the labor cost of enterprises, and promote the refined management of enterprises is very important. There is no effective solution in the existing technology

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