CN110826985A - Human resource assistant decision making system - Google Patents
Human resource assistant decision making system Download PDFInfo
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- CN110826985A CN110826985A CN201911006090.4A CN201911006090A CN110826985A CN 110826985 A CN110826985 A CN 110826985A CN 201911006090 A CN201911006090 A CN 201911006090A CN 110826985 A CN110826985 A CN 110826985A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
Abstract
The invention relates to a human resource assistant decision system, which comprises a system interface module, a personal center module and an assistant decision analysis platform; the system interface module and the interface of the existing human resource management system acquire basic data; the personal center module constructs a cross-platform staff personal center, so that staff can freely and conveniently carry out personal occupation assistance; the assistant decision analysis platform establishes an employee ability model through resume, academic calendar, professional qualification, work experience, education, talents, comprehensive ability and quality assessment and other ability descriptions; mining according to historical data, and establishing a grading model for the post capability of the staff and the like; the invention provides decision suggestions for the user or directly shows the analysis result which the user wants to see in a graph and text mode through analyzing the basic information.
Description
Technical Field
The invention relates to a human resource assistant decision system.
Background
At present, due to the existence of the inherent employment mode of a national enterprise, a targeted system is lacked in the aspects of employee growth and promotion channels, so that the limitation of a unit for selecting people is caused, and the employees gradually lose vigor and power in work.
With the development of the times, computer technology has become an important means essential for people's life and daily office, and especially in the last two years, big data and cloud computing have become important means for enterprise management, which not only help enterprises to promote business management, but also play an important role in human resource management of enterprises. From the development perspective of the current era, the human resource analysis is performed by utilizing big data, so that the recruitment of personnel and the assessment of talents can be better assisted by a human resource department, reasonable training and management of talents can be performed, the proportion of salary can be better matched, the career planning of staff can be better performed, and the like.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a human resource assistant decision-making system, which realizes the connection of human resources and enterprise operation development.
The technical scheme of the invention is as follows:
a human resource assistant decision system comprises a system interface module, a personal center module and an assistant decision analysis platform; the system interface module and the interface of the existing human resource management system acquire basic data; the personal center module constructs a cross-platform staff personal center, so that staff can freely and conveniently carry out personal occupation assistance; the assistant decision analysis platform establishes an employee ability model through resume, academic calendar, professional qualification, work experience, education, talents, comprehensive ability and quality assessment and other ability descriptions; mining according to historical data, and establishing a grading model for the post capability of the staff; analyzing the matching degree of the post according to the post information and the post specification; generating corresponding recruitment and training suggestions, and performing post evaluation, compilation and analysis on posts; combining salary and social insurance basic information, and analyzing the labor cost of the current employment configuration; determining human resource requirements according to marginal productivity; personnel development is promoted by combining personnel center, performance, comprehensive quality evaluation and training information of the personnel, analyzing development direction and occupation planning of the personnel, and performing talent mining by combining big data; analyzing vitality and growth value of the company according to the position planning diagram of each person; through historical data mining and big data analysis, a knowledge base and typical experience are established, enterprise development planning suggestions are provided, and bases for making, evaluating and selecting auxiliary decisions such as enterprise human resource development schemes are provided for decision makers.
The basic data obtained by the system interface module comprises organization information, post information, staff information and personnel change information.
The personal center module comprises a training participation module, a recruitment module, a work target making module, a personal ability analysis module, an integrating system management module, a suitable post recommendation module, an information inquiry module, an attendance checking module, a vacation module, an overtime module, a business trip management module and a personal development planning module.
Basic data input by the personal center module is sent to a database server of the assistant decision analysis platform in a binary form; the data is stored in a unified data instance and is managed by users; the unification and the sharing of the data platform are realized.
The invention has the following advantages and effects:
based on the existing human resource system, a human resource decision system module is created to assist in acquiring and recording information in various forms such as posts, personnel, comprehensive competence and quality, and a staff growth channel model is constructed. Different from a general report system facing a business process, the system focuses on deep mining and multidimensional analysis of data related to human resources, and realizes connection of the human resources and enterprise operation development.
The system reserves a human resource system, defines the growth route of the staff, improves the rationalization and accuracy of the person for selection, and realizes the integration, interactivity and intellectualization of assistant decision.
For various schemes compiled by enterprise personnel and organizational structures, simulation comparison and operation analysis are carried out, and visual evaluation of graphs is assisted to assist managers in making final decisions.
And (4) formulating a job model, and providing corresponding training, job change suggestions or promotion suggestions by the system according to the job requirement, promotion path, training plan and the specific conditions of staffs of the job.
And analyzing the personnel cost, and providing a basis for enterprise cost analysis through an ERP integration environment.
Drawings
FIG. 1 is a block diagram showing the system structure of the present invention.
Detailed Description
Examples
A human resource assistant decision system comprises a system interface module, a personal center module and an assistant decision analysis platform; the system interface module and the interface of the existing human resource management system acquire basic data; the personal center module constructs a cross-platform staff personal center, so that staff can freely and conveniently carry out personal occupation assistance; the assistant decision analysis platform establishes an employee ability model through resume, academic calendar, professional qualification, work experience, education, talents, comprehensive ability and quality assessment and other ability descriptions; mining according to historical data, and establishing a grading model for the post capability of the staff; analyzing the matching degree of the post according to the post information and the post specification; generating corresponding recruitment and training suggestions, and performing post evaluation, compilation and analysis on posts; combining salary and social insurance basic information, and analyzing the labor cost of the current employment configuration; determining human resource requirements according to marginal productivity; personnel development is promoted by combining personnel center, performance, comprehensive quality evaluation and training information of the personnel, analyzing development direction and occupation planning of the personnel, and performing talent mining by combining big data; analyzing vitality and growth value of the company according to the position planning diagram of each person; through historical data mining and big data analysis, a knowledge base and typical experience are established, enterprise development planning suggestions are provided, and bases for making, evaluating and selecting auxiliary decisions such as enterprise human resource development schemes are provided for decision makers.
The basic data obtained by the system interface module comprises organization information, post information, staff information and personnel change information.
The personal center module comprises a training participation module, a recruitment module, a work target making module, a personal ability analysis module, an integrating system management module, a suitable post recommendation module, an information inquiry module, an attendance checking module, a vacation module, an overtime module, a business trip management module and a personal development planning module.
Basic data input by the personal center module is sent to a database server of the assistant decision analysis platform in a binary form; the data is stored in a unified data instance and is managed by users; the unification and the sharing of the data platform are realized.
Claims (4)
1. A human resource assistant decision-making system is characterized by comprising a system interface module, a personal center module and an assistant decision-making analysis platform; the system interface module and the interface of the existing human resource management system acquire basic data; the personal center module constructs a cross-platform staff personal center, so that staff can freely and conveniently carry out personal occupation assistance; the assistant decision analysis platform establishes an employee ability model through resume, academic calendar, professional qualification, work experience, education, talents, comprehensive ability and quality assessment and other ability descriptions; mining according to historical data, and establishing a grading model for the post capability of the staff; analyzing the matching degree of the post according to the post information and the post specification; generating corresponding recruitment and training suggestions, and performing post evaluation, compilation and analysis on posts; combining salary and social insurance basic information, and analyzing the labor cost of the current employment configuration; determining human resource requirements according to marginal productivity; personnel development is promoted by combining personnel center, performance, comprehensive quality evaluation and training information of the personnel, analyzing development direction and occupation planning of the personnel, and performing talent mining by combining big data; analyzing vitality and growth value of the company according to the position planning diagram of each person; through historical data mining and big data analysis, a knowledge base and typical experience are established, enterprise development planning suggestions are provided, and bases for making, evaluating and selecting auxiliary decisions such as enterprise human resource development schemes are provided for decision makers.
2. The human resource assistant decision making system according to claim 1, wherein the basic data obtained by the system interface module comprises organization information, position information, employee information, and personnel change information.
3. The human resource assistant decision-making system as claimed in claim 1, wherein the individual center module comprises a training participation module, a recruitment module, a job target making module, an individual ability analysis module, a point system management module, a suitable post recommendation module, an information inquiry module, an attendance checking module, a vacation module, an overtime module, a business trip management module and an individual development planning module.
4. The human resource assistant decision-making system according to claim 1, wherein the basic data entered by the personal center module is sent to the database server of the assistant decision analysis platform in a binary form; the data is stored in a unified data instance and is managed by users; the unification and the sharing of the data platform are realized.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911006090.4A CN110826985A (en) | 2019-10-22 | 2019-10-22 | Human resource assistant decision making system |
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| CN201911006090.4A CN110826985A (en) | 2019-10-22 | 2019-10-22 | Human resource assistant decision making system |
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| CN110826985A true CN110826985A (en) | 2020-02-21 |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111429312A (en) * | 2020-03-16 | 2020-07-17 | 苏建华 | Auxiliary culture device and method for occupational competence |
| CN111967707A (en) * | 2020-06-30 | 2020-11-20 | 江连鑫 | Human resource evaluation system based on big data analysis |
| CN113822552A (en) * | 2021-09-02 | 2021-12-21 | 国网河北省电力有限公司石家庄供电分公司 | Electric power and human resource information statistical system and decision-making assisting method |
| CN116862277A (en) * | 2023-05-09 | 2023-10-10 | 北京新东方迅程网络科技有限公司 | User's selection information processing method, device, electronic equipment and readable storage medium |
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| CN102509184A (en) * | 2011-10-24 | 2012-06-20 | 山东城通科技有限公司 | Enterprise operation and management personnel comprehensive quality and post competence assessment system |
| CN107609835A (en) * | 2017-07-28 | 2018-01-19 | 国网辽宁省电力有限公司 | A kind of power network manapower allocation application system and method |
| CN108090743A (en) * | 2017-12-29 | 2018-05-29 | 广州市海捷计算机科技有限公司 | A kind of big data talent bank analysis system for human resource management |
| CN108764839A (en) * | 2018-05-24 | 2018-11-06 | 合肥亿腾工程咨询有限公司 | A kind of Human Resource Management System based on the network platform |
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2019
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| US20100106566A1 (en) * | 2005-01-21 | 2010-04-29 | Saudi Arabian Oil Company | Systems, Program Products and Methods of Human Resources Planning and Development |
| CN102509184A (en) * | 2011-10-24 | 2012-06-20 | 山东城通科技有限公司 | Enterprise operation and management personnel comprehensive quality and post competence assessment system |
| CN107609835A (en) * | 2017-07-28 | 2018-01-19 | 国网辽宁省电力有限公司 | A kind of power network manapower allocation application system and method |
| CN108090743A (en) * | 2017-12-29 | 2018-05-29 | 广州市海捷计算机科技有限公司 | A kind of big data talent bank analysis system for human resource management |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111429312A (en) * | 2020-03-16 | 2020-07-17 | 苏建华 | Auxiliary culture device and method for occupational competence |
| CN111967707A (en) * | 2020-06-30 | 2020-11-20 | 江连鑫 | Human resource evaluation system based on big data analysis |
| CN113822552A (en) * | 2021-09-02 | 2021-12-21 | 国网河北省电力有限公司石家庄供电分公司 | Electric power and human resource information statistical system and decision-making assisting method |
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