CN111967707A - Human resource evaluation system based on big data analysis - Google Patents
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Abstract
A human resource evaluation system based on big data analysis comprises a central processing unit, a data acquisition module, an evaluation entry module, a personal information entry module, a training plan generation module, a post information entry module, a big data analysis module, a grading sequencing module and a display module; the evaluation input module, the personal information input module, the training plan generation module and the post information input module are respectively in communication connection with the data acquisition module; the data acquisition module, the big data analysis module and the grading sorting module are respectively in communication connection with the central processing unit; the display module is respectively in communication connection with the central processing unit, the evaluation input module, the personal information input module, the training plan generation module and the post information input module. The invention can analyze the performance of the staff during the training period and the abilities of the corresponding posts to the staff, so that each employee can be distributed to the posts capable of playing the abilities according to the self abilities.
Description
Technical Field
The invention relates to the technical field of human resource evaluation systems, in particular to a human resource evaluation system based on big data analysis.
Background
The human resources refer to the population with necessary labor capacity required for developing economic and social career, and the most basic aspects of the human resources comprise physical strength and intelligence, and the state of practical application comprises four aspects of constitution, intelligence, knowledge and skill. Human resources are also characterized, available and limited like other resources; when the current positive value of global economy is recovered, as the requirement of enterprises on technical talents is increased, more and more people just finish the business and throw away the talents not found work are increased; when a human resource department of an enterprise recruits employees, the employees are often recruited according to post requirements and the expert of the employees or the working experience of the employees with corresponding posts, and then the employees are allocated with the posts, but because the new recruited employees are simply and roughly known, whether the recruited employees accord with the corresponding posts or not cannot be quickly determined, whether the employees are qualified for the work or not and whether the own ability of the employees can be fully exerted on the posts or not cannot be determined; therefore, the application provides a human resource evaluation system based on big data analysis.
Disclosure of Invention
Objects of the invention
In order to solve the technical problems in the background art, the invention provides a human resource evaluation system based on big data analysis, which can analyze the performance of employees during training and the abilities of corresponding posts to the employees so that each employee can be allocated to the post capable of playing the abilities according to the self abilities.
(II) technical scheme
In order to solve the problems, the invention provides a human resource evaluation system based on big data analysis, which comprises a central processing unit, a data acquisition module, an evaluation entry module, a personal information entry module, a training plan generation module, a post information entry module, a big data analysis module, a grading sequencing module and a display module;
the evaluation input module is in communication connection with the data acquisition module and is used for inputting evaluation information of the periodic training results of the staff;
the personal information input module is in communication connection with the data acquisition module and is used for inputting the identity information of the staff and sending the identity information of the staff to the data acquisition module;
the training plan generating module is in communication connection with the data acquisition module and is used for generating staff training plan information according to the required posts and sending the staff training plan information to the data acquisition module;
the post information input module is in communication connection with the data acquisition module and is used for inputting post information and sending the post information to the data acquisition module;
the data acquisition module is in communication connection with the central processing unit and is used for sending the received information to the central processing unit;
the big data analysis module is in communication connection with the central processing unit, and is used for carrying out big data analysis on information received by the central processing unit by utilizing the cloud server to centralize big data resources and sending an analysis result to the central processing unit;
the grading and sorting module is in communication connection with the central processing unit and is used for grading and sorting the employees and the required posts one by one according to the analysis result of the big data analysis module and sending the grading and sorting result to the central processing unit;
the display module is respectively in communication connection with the central processing unit, the evaluation input module, the personal information input module, the training plan generation module and the post information input module.
Preferably, the evaluation entry module comprises a first evaluation unit for the staff to evaluate by themselves at each stage and a second evaluation unit for the staff to train teachers to evaluate the staff at each stage.
Preferably, the system also comprises a post analysis module; the post analysis module is in communication connection with the central processing unit and is used for analyzing the character and the capability of talents required by each post according to the recorded post information.
Preferably, the identity information of the employee includes personal information of the employee, academic information of the employee, and reward and punishment information of the employee.
Preferably, the life track recording device further comprises a life track recording module; the life track input module is in communication connection with the central processing unit and is used for recording life work and rest.
Preferably, the system also comprises a database and a similarity evaluation module;
the database is in communication connection with the central processing unit and is used for storing information of the corresponding post active staff;
the similarity evaluation and analysis module is in communication connection with the central processing unit and is used for carrying out similarity evaluation and analysis on information of each employee and the required post active employee according to the analysis result of the big data analysis module.
Preferably, the system further comprises an updating module; the updating module is in communication connection with the central processing unit and is used for updating the information stored in the database.
Preferably, the device further comprises a storage module; the storage module is in communication connection with the central processing unit and is used for storing information received by the central processing unit.
Preferably, the system further comprises a judging module; the judging module is in communication connection with the central processing unit and is used for judging whether to quit the staff or not according to the sorting result of the grading sorting module and the analysis result of the big data analysis module.
The technical scheme of the invention has the following beneficial technical effects:
when the system is used, identity information of a recruited new employee is input through the personal information input module, employee training plan information is generated according to a required post, evaluation information of the employee is collected after the employee is trained at each stage, the evaluation information of the employee is analyzed by combining the evaluation information of the employee with the identity information and the post information of the employee through the big data analysis module and the cloud server centralized big data resources after the training is finished, the components are arranged for each post and each employee through the grading and sorting module, and the grading is sorted according to the grading height, so that the grading of each post by each employee can be visually checked on the display module, the employee can be rapidly distributed, and the self ability and the advantage of the employee can be fully exerted.
Drawings
Fig. 1 is a schematic block diagram of a human resource assessment system based on big data analysis according to the present invention.
Reference numerals: 11. a central processing unit; 12. a data acquisition module; 13. the evaluation input module; 131. a first evaluation unit; 132. a second evaluation unit; 14. a personal information entry module; 15. a training plan generating module; 16. a post information input module; 17. a post analysis module; 18. a big data analysis module; 19. a grading and sorting module; 20. a life track input module; 21. a database; 22. a similarity evaluation module; 23. a storage module; 24. and a display module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
As shown in fig. 1, the human resource assessment system based on big data analysis provided by the present invention includes a central processing unit 11, a data acquisition module 12, an assessment entry module 13, a personal information entry module 14, a training plan generation module 15, a post information entry module 16, a big data analysis module 18, a scoring sorting module 19, and a display module 24;
the evaluation recording module 13 is in communication connection with the data acquisition module 12, and the evaluation recording module 13 is used for recording evaluation information of the staff periodic training results, generating an evaluation table of each stage according to the training plan of each stage, and performing self-evaluation and evaluation on the staff by a guide after the training of each stage of the staff is completed;
the personal information input module 14 is in communication connection with the data acquisition module 12, and the personal information input module 14 is used for inputting the identity information of the staff and sending the identity information of the staff to the data acquisition module 12;
the training plan generating module 15 is in communication connection with the data acquisition module 12, and the training plan generating module 15 is used for generating staff training plan information according to the required posts and sending the staff training plan information to the data acquisition module 12;
the post information input module 16 is in communication connection with the data acquisition module 12, and the post information input module 16 is used for inputting post information and sending the post information to the data acquisition module 12;
the data acquisition module 12 is in communication connection with the central processing unit 11, and the data acquisition module 12 is used for sending the received information to the central processing unit 11;
the big data analysis module 18 is in communication connection with the central processing unit 11, and the big data analysis module 18 is used for carrying out big data analysis on the information received by the central processing unit 11 by utilizing the cloud server to centralize big data resources and sending an analysis result to the central processing unit 11;
the grading and sorting module 19 is in communication connection with the central processing unit 11, and the grading and sorting module 19 is used for grading and sorting the employees and the required posts one by one according to the analysis result of the big data analysis module 18, and sending the grading and sorting result to the central processing unit 11;
the display module 24 is respectively in communication connection with the central processing unit 11, the evaluation entry module 13, the personal information entry module 14, the training plan generation module 15 and the post information entry module 16.
When the system is used, identity information of a recruited new employee is input through the personal information input module 14, employee training plan information is generated according to a required post, evaluation information of the employee is collected after the employee is trained at each stage, the evaluation information of the employee is analyzed through the big data analysis module by utilizing a cloud server to centralize big data resources after the training is finished, the evaluation information of the employee is combined with the identity information and the post information of the employee, each post and each employee are arranged through the grading and sorting module 19 and are sorted according to the grading height, so that the grading of each post by each employee can be visually checked on the display module 24, the employee can be rapidly distributed, and the self capacity and advantages of the employee can be fully exerted.
In an alternative embodiment, the evaluation entry module 13 includes a first evaluation unit 131 for the staff to evaluate by themselves at each stage and a second evaluation unit 132 for the staff to train teachers to evaluate the staff at each stage.
In an optional embodiment, a post profiling module 17 is further included; the post analysis module 17 is in communication connection with the central processing unit 11, the post analysis module 17 is used for analyzing the character and the capability of talents required by each post according to the recorded post information, and the post analysis module 17 analyzes the post of the talents required by each post to determine what type of talents are required by the corresponding post, and the required talents correspond to the required talents with the quality, such as the quality of suffering from hardiness and endurance, the quality of being quiet and strong in endurance, or the fact that professional knowledge is firm and the like.
In an optional embodiment, the identity information of the employee comprises personal information of the employee, academic information of the employee and reward and punishment information of the employee, detailed knowledge of the personal information of the employee is more favorable for analysis between the employee and a corresponding demand post, and an obtained evaluation result is more objective and fair.
In an optional embodiment, a life track entry module 20 is further included; the life track input module 20 is in communication connection with the central processing unit 11, the life track input module 20 is used for recording life work and rest, whether the staff is an autonomous person or a person with strong social ability can be known through the life track input module 20 connected with the staff, and posts can be reasonably arranged according to the ability of the staff.
In an optional embodiment, the system further comprises a database 21 and a similarity evaluation module 22;
the database 21 is in communication connection with the central processing unit 11, and the database 21 is used for storing information of the corresponding post active staff;
the similarity evaluation module 22 is in communication connection with the central processing unit 11, and the similarity evaluation module 22 is configured to perform similarity evaluation on the information of each employee and the required post active employee according to the analysis result of the big data analysis module 18.
In an optional embodiment, the system further comprises an updating module; the updating module is connected with the central processing unit 11 in a communication way and is used for updating the information stored in the database 21.
In an optional embodiment, a storage module 23 is further included; the storage module 23 is communicatively connected to the central processing unit 11, and the storage module 23 is configured to store information received by the central processing unit 11.
In an optional embodiment, the system further comprises a judging module; the judging module is in communication connection with the central processing unit 11 and is used for judging whether to quit the staff or not according to the sorting result of the grading sorting module 19 and the analysis result of the big data analysis module 18.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (9)
1. A human resource evaluation system based on big data analysis is characterized by comprising a central processing unit (11), a data acquisition module (12), an evaluation entry module (13), a personal information entry module (14), a training plan generation module (15), a post information entry module (16), a big data analysis module (18), a grading and sorting module (19) and a display module (24);
the evaluation recording module (13) is in communication connection with the data acquisition module (12), and the evaluation recording module (13) is used for recording evaluation information of the periodic training results of the staff;
the personal information input module (14) is in communication connection with the data acquisition module (12), and the personal information input module (14) is used for inputting the identity information of the staff and sending the identity information of the staff to the data acquisition module (12);
the training plan generating module (15) is in communication connection with the data acquisition module (12), and the training plan generating module (15) is used for generating staff training plan information according to the required posts and sending the staff training plan information to the data acquisition module (12);
the post information recording module (16) is in communication connection with the data acquisition module (12), and the post information recording module (16) is used for recording post information and sending the post information to the data acquisition module (12);
the data acquisition module (12) is in communication connection with the central processing unit (11), and the data acquisition module (12) is used for sending the received information to the central processing unit (11);
the big data analysis module (18) is in communication connection with the central processing unit (11), and the big data analysis module (18) is used for carrying out big data analysis on information received by the central processing unit (11) by utilizing the cloud server to concentrate big data resources and sending an analysis result to the central processing unit (11);
the grading and sorting module (19) is in communication connection with the central processing unit (11), and the grading and sorting module (19) is used for grading and sorting the employees and the required posts one by one according to the analysis result of the big data analysis module (18) and sending the grading and sorting result to the central processing unit (11);
the display module (24) is respectively in communication connection with the central processing unit (11), the evaluation entry module (13), the personal information entry module (14), the training plan generation module (15) and the post information entry module (16).
2. The human resource assessment system based on big data analysis according to claim 1, wherein the assessment entry module (13) comprises a first assessment unit (131) for staff stage self assessment and a second assessment unit (132) for staff stage training teachers to assess staff.
3. The human resources assessment system based on big data analysis according to claim 1, further comprising a post profiling module (17); the post analysis module (17) is in communication connection with the central processing unit (11), and the post analysis module (17) is used for analyzing the character and the capability of talents required by each post according to the recorded post information.
4. The human resource evaluation system based on big data analysis as claimed in claim 1, wherein the identity information of the staff comprises personal information of the staff, academic information of the staff and reward and punishment information of the staff.
5. The human resources evaluation system based on big data analysis as claimed in claim 1, further comprising a life track entering module (20); the life track recording module (20) is in communication connection with the central processing unit (11), and the life track recording module (20) is used for recording life work and rest.
6. The human resource assessment system based on big data analysis according to claim 1, further comprising a database (21) and a similarity evaluation module (22);
the database (21) is in communication connection with the central processing unit (11), and the database (21) is used for storing information of the corresponding post active staff;
the similarity evaluation module (22) is in communication connection with the central processing unit (11), and the similarity evaluation module (22) is used for carrying out similarity evaluation on the information of each employee and the required post active employee respectively according to the analysis result of the big data analysis module (18).
7. The human resources assessment system based on big data analysis according to claim 6, further comprising an update module; the updating module is in communication connection with the central processing unit (11) and is used for updating the information stored in the database (21).
8. The human resources evaluation system based on big data analysis as claimed in claim 1, further comprising a storage module (23); the storage module (23) is in communication connection with the central processing unit (11), and the storage module (23) is used for storing the information received by the central processing unit (11).
9. The human resource assessment system based on big data analysis according to claim 1, further comprising a judgment module; the judging module is in communication connection with the central processing unit (11) and is used for judging whether to quit the staff or not according to the sorting result of the grading sorting module (19) and the analysis result of the big data analysis module (18).
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115471200A (en) * | 2022-08-05 | 2022-12-13 | 广州红海云计算股份有限公司 | Cloud computing-based human resource data management system, method and device |
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