A big data analysis method based on talent management

Abstract

The invention discloses a big data analysis method based on talent management in the technical field of talent management. Data collection includes self-review and others' reviews, collects the relevant data through self-comments and comments from others. The data management module stores a large number of various kinds of data of various kinds of talents, compares the collected data with the stored data in S2, and generates the results. The generated results are graphed and published in the company's personnel management database through EXCEI. The invention breaks through the traditional personnel system that only the academic credentials of the staff and workers can influence the working ability of the staff and workers, skill training and time limitation are three aspects of one-sidedexamination of the ability of employees. Through the self-evaluation of education, skills, friends, wages, costs, marriage and housing information and others in the review of conduct data and growth data statistics, comparison and analysis, the strengths and weaknesses of employees are explored, the staff are deployed to the appropriate positions, and the utilization rate of talent is improved.

Description

technical field [0001] The invention relates to the technical field of talent management, in particular to a big data analysis method based on talent management. Background technique [0002] Talent management refers to a series of activities that plan, organize, coordinate and control the internal and external factors that affect the performance of talents. Traditional talent management simply collects information on the three aspects of employees' education, skills training, and work timeliness, and conducts statistical analysis on them to assign employees positions. The traditional analysis method is relatively one-sided, and it is not comprehensive enough to discover talents. To truly optimize the use of talents, so that jobs can be greatly matched with employees, and work efficiency can be improved. Contents of the invention [0003] The purpose of the present invention is to provide a big data analysis method based on talent management to solve the problem that the ...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a big data analysis method based on talent management to solve the problem that the traditional talent management proposed in the above-mentioned background technology simply collects information on the three aspects of employees' education background, skill training, and work timeliness. It conducts statistical analysis to allocate employees' positions. The traditional analysis method is relatively one-sided, and the exploration of talents is not comprehensive enough, and it is impossible to truly optimize the use of talents, so that jobs can be greatly matched with employees and work efficiency is improved.

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