CN102968698A - Method and system for establishing enterprise employee learning data model - Google Patents
Method and system for establishing enterprise employee learning data model Download PDFInfo
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- CN102968698A CN102968698A CN2012105241895A CN201210524189A CN102968698A CN 102968698 A CN102968698 A CN 102968698A CN 2012105241895 A CN2012105241895 A CN 2012105241895A CN 201210524189 A CN201210524189 A CN 201210524189A CN 102968698 A CN102968698 A CN 102968698A
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Abstract
The invention provides a method for establishing an enterprise employee learning data model, comprising the following steps: collecting position information and enterprise employee personal information; establishing an ability-based quality model according to the position information and the enterprise employee personal information; and establishing a personal growth path system according to the ability-based quality model. The invention also provides a system for establishing the enterprise employee learning data model. The method and the system for establishing the enterprise employee learning data model provided by the invention are capable of orderly presenting IT knowledge information for the users, and accurately and intelligently drawing the learning, growth and promotion path of the employees by a standard personal knowledge position map, thereby completing knowledge promotion of the enterprise employees.
Description
Technical field
The present invention relates to the enterprise personnel Knowledge Management Domain, particularly relate to a kind of method for building up and system of IT enterprises employee learning data model.
Background technology
In the current traditional forms of enterprises, employee's training all is the start-up by enterprise's appointment, pure manual mode is carried out, and has also only only provided the platform of an electronization even promoted some information systems, and can not accomplish really towards out and out employee.Can say and often finally be tending towards formalization without any specific aim.
Training often is subjected to the impact of cost and personnel amount, can't realize point-to-point.Many people reflect that the content of this training is in fact little with my relation after participating in training.
Current, most IT enterprises do not have full-time start-up, even the start-up is arranged but often be not the technical specialist, often can't be competent at carrying out the work of pure technical training.Therefore, IT knowledge information can't be presented in an orderly manner in face of the user, can not accurately depict intelligently employee's study, growth, promotion route, the knowledge that can't finish enterprise personnel promotes.
So, must provide a kind of new enterprise staff learning data model method, to solve above technical matters.
Summary of the invention
The object of the present invention is to provide a kind of method for building up and system of enterprise staff learning data model, IT knowledge information can be presented in an orderly manner in face of the user, personnel's knowledge post map with standard, accurately depict intelligently employee's study, growth, promotion route, thereby the knowledge of finishing enterprise personnel promotes.
In order to solve above technical matters, the invention provides a kind of method for building up of enterprise staff learning data model, comprising:
Collect post information and enterprise staff personal information;
According to post information and enterprise staff personal information, set up the ability quality model;
Set up personal growth path system according to the ability quality model.
Preferably, the step of described collection post information and enterprise staff personal information specifically comprises: collect described post information and comprise post, job duty instructions, from qualitative angle classified in the post, determine enterprise post and organising data; And the personal information of collecting enterprise staff.
Preferably, described according to post information and enterprise staff personal information, set up the step of ability quality model, specifically comprise: according to the job duty instructions, take post capability quality detailed rules and regulations as granularity, in conjunction with the post role, divide ability rating; Extract post capability quality, identification KPI Key Performance Indicator and scope section; According to the KPI Key Performance Indicator that identifies and scope section, in conjunction with the job duty instructions, export complete ability quality model.
Preferably, describedly set up the step of personal growth path system according to the ability quality model, specifically comprise: with employee's Individual Performance information, with the ability quality Model Matching, take post capability quality as granularity, obtain the capacity gap analysis result; According to profile's gap analysis result, the relation between the analysis ability quality obtains personal growth path system.
Preferably, described according to profile's gap analysis result, the relation between the analysis ability quality obtains personal growth path system, specifically comprises:
A) appoint and get the wherein capacity gap in an employee post;
B) according to the standard support of the post capability of enterprise regulation, based on association rule algorithm, obtain degree of confidence, obtain strongly connected ability quality;
C) by adjusting support, return previous step b, obtain the ability that relevance weakens more, until reach till the minimum support;
D) by above a, b, three steps of c, the incidence relation structure of every capacity gap of traversal output, all capacity gap relations of combination individual obtain personal growth path system.
Preferably, described method further comprises: the step that represents system's achievement data.
A kind of system that sets up of enterprise staff learning data model comprises: the information module, and the ability quality MBM, the Establishing module,
Described information module is used for collecting post information and enterprise staff personal information;
Described ability quality MBM is used for the collection information according to described information module, sets up the ability quality model;
Described Establishing module is used for setting up personal growth path system according to the ability quality model that described ability quality MBM is set up.
Preferably, described information module specifically is used for: collect described post information and comprise post, job duty instructions, from qualitative angle classified in the post, determine enterprise post and organising data; And the personal information of collecting enterprise staff.
Preferably, described ability quality MBM specifically is used for: according to the job duty instructions, take post capability quality detailed rules and regulations as granularity, in conjunction with the post role, divide ability rating; Extract post capability quality, identification KPI Key Performance Indicator and scope section; According to above-mentioned KPI Key Performance Indicator and scope section, in conjunction with the job duty instructions, export complete ability quality model.
Preferably, described Establishing module specifically is used for: with employee's Individual Performance information, with the ability quality Model Matching, take post capability quality as granularity, obtain the capacity gap analysis result; According to profile's gap analysis result, the relation between the analysis ability quality obtains personal growth path system.
Preferably, described system also comprises achievement data exhibiting module, is used for representing system's achievement data.
Compared with prior art, the invention provides a kind of method for building up and system of enterprise staff learning data model, make up the relation between knowledge, unordered knowledge information is presented in face of the user with orderly looks; Adopt man-to-man training method, by means of informationization technology, with personnel's knowledge post map of standard, accurately depict intelligently employee's study, growth, promotion route, thereby the knowledge of finishing enterprise personnel promotes.
Description of drawings
Accompanying drawing described herein is used to provide a further understanding of the present invention, consists of a part of the present invention, and illustrative examples of the present invention and explanation thereof are used for explaining the present invention, do not consist of improper restriction of the present invention.In the accompanying drawings:
Fig. 1 is the process flow diagram of the method for building up of a kind of IT enterprises employee learning data model provided by the invention;
Fig. 2 is the structural representation of the system that sets up of a kind of IT enterprises employee learning data model provided by the invention.
Embodiment
In order to make technical matters to be solved by this invention, technical scheme and beneficial effect clearer, clear, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, is not intended to limit the present invention.
As shown in Figure 1, the invention provides a kind of method for building up of IT enterprises employee learning data model, comprising:
Step 1, collection post information and enterprise staff personal information
Described post information comprises post, job duty instructions, from qualitative angle is classified in the post, determines enterprise post and organising data; Collection comprises the personal information of the enterprise staffs such as age, post, specialty, schooling, rank, developing direction.Above-mentioned post information and enterprise staff personal information can be extracted from the human resources system, perhaps by human resources personnel typing.Wherein:
Age: according to enterprise staff date of birth compute age;
Post: be divided into coding slip-stick artist, Architecture Engineer, project manager;
Rank: be divided into elementary, intermediate, senior;
Developing direction: be divided into technique direction, management orientation.
Step 2, according to post information and enterprise staff personal information, set up the ability quality model
According to post information and enterprise staff personal information, in conjunction with directions such as corporate training, self-study, personnel promotions, the data capability quality model of setting up a cover IT enterprises employee self-study is set.
The present invention is directed to the IT enterprises employee and be divided into two large ken and 21 kinds of quality models, it defines respectively shown in table 1, table 2:
Table 1, quality model definition
Table 2, index are calculated
Suppose building database, data warehouse, be used for storing a large amount of staff performance evaluation data, be divided into qualitative, quantitative two class data.Carry out modeling according to following steps:
2.1, according to the job duty instructions, take post capability quality detailed rules and regulations as granularity, in conjunction with the post role, divide ability rating.For example can divide by the mode of following table 3:
Table 3
2.2, extract post capability quality, identification KPI Key Performance Indicator and scope section.Specifically may further comprise the steps:
A) appoint and get a post capability quality, mapping (enum) data library information (dimension table, fact table);
B) based on data mining analysis (cluster), identification KPI Key Performance Indicator and scope section;
C) in conjunction with the artificial cognition mode, divide qualitative, quantitative performance indicators grade;
D) by above three steps, the capable key index of traversal output, and the scope of division section.
For example: finish the work of an equal difficulty, identifying the deadline is KPI Key Performance Indicator.Different post roles finish the work, and need respectively 1h/3h/4h/6h/8h, and divide such as lower curtate afterwards by analysis: 1 ~ 3h belongs to Pyatyi; 4～6h belongs to three grades, by that analogy.
2.3, according to the 2.2nd the step Output rusults, in conjunction with the job duty instructions, export complete ability quality model (as shown in table 1).
Step 3, set up personal growth path system according to the ability quality model
Carry out data warehouse modeling and task scheduling intelligence computation according to ability quality model and related data; In the index computation period of appointment, the learning materials resource supplying after will searching for according to result of calculation is distributed to enterprise staff; Enterprise staff is finished Personal Skills's study according to the learning materials resource of distribution, sets up personal growth path system.Specifically comprise:
1) with employee's Individual Performance information, with the ability quality Model Matching, take post capability quality as granularity, obtains the capacity gap analysis result; Whether the employee is competent at is specified the post, according to " the short slab principle " of Bucket Principle.For example:
The capacity gap analysis result can adopt the mode such as table 4.
Table 4
2) according to profile's gap analysis result, the relation between the analysis ability quality obtains ability quality incidence relation structure, i.e. personal growth path system.Specifically comprise:
A) appoint and get the wherein capacity gap in an employee post;
B) according to the standard support of the post capability of enterprise regulation, based on Apriori algorithm (association rule algorithm), obtain degree of confidence, obtain strongly connected ability quality;
C) by adjusting support (reducing gradually the adjusting range self-defining), return previous step b, obtain the ability that relevance weakens more, until reach till the minimum support;
D) by above a, b, three steps of c, the incidence relation structure of every capacity gap of traversal output.Finally, all capacity gap relations of combination individual obtain personal growth path system.
Step 4, represent system's achievement data.System's achievement comprises: current all employees' technical ability rank distributes, and the personnel that finished the technical ability upgrading.
As shown in Figure 2, the invention provides a kind of system that sets up of IT enterprises employee learning data model, comprising: information module 10, ability quality MBM 20, Establishing module 30, achievement data exhibiting module 40.Wherein,
Described information module 10 is used for collecting post information and enterprise staff personal information.Described post information comprises post, job duty instructions, from qualitative angle is classified in the post, determines enterprise post and organising data; Collection comprises the personal information of the enterprise staffs such as age, post, specialty, schooling, rank, developing direction.Above-mentioned post information and enterprise staff personal information can be extracted from the human resources system, perhaps by human resources personnel typing.
Described ability quality MBM 20 is used for collection post information and enterprise staff personal information according to described information module 10, sets up the ability quality model.According to post information and enterprise staff personal information, in conjunction with directions such as corporate training, self-study, personnel promotions, the data capability quality model of setting up a cover IT enterprises employee self-study is set.Specifically comprise:
According to the job duty instructions, take post capability quality detailed rules and regulations as granularity, in conjunction with the post role, divide ability rating;
Extract post capability quality, identification KPI Key Performance Indicator and scope section;
According to above-mentioned KPI Key Performance Indicator and scope section, in conjunction with the job duty instructions, export complete ability quality model.
Described Establishing module 30 is used for setting up personal growth path system according to the ability quality model that described ability quality MBM 20 is set up.Carry out data warehouse modeling and task scheduling intelligence computation according to ability quality model and related data; In the index computation period of appointment, the learning materials resource supplying after will searching for according to result of calculation is distributed to enterprise staff; Enterprise staff is finished Personal Skills's study according to the learning materials resource of distribution, sets up personal growth path system.Specifically comprise:
1) with employee's Individual Performance information, with the ability quality Model Matching, take post capability quality as granularity, obtains the capacity gap analysis result;
2) according to profile's gap analysis result, the relation between the analysis ability quality obtains ability quality incidence relation structure, i.e. personal growth path system.
Described achievement data exhibiting module 40 is used for representing system's achievement data, and this system's achievement comprises: current all employees' technical ability rank distributes, and the personnel that finished the technical ability upgrading.
The invention provides a kind of method for building up and system of enterprise staff learning data model, make up the relation between knowledge, unordered knowledge information is presented in face of the user with orderly looks; Adopt man-to-man training method, by means of informationization technology, with personnel's knowledge post map of standard, accurately depict intelligently employee's study, growth, promotion route, thereby the knowledge of finishing enterprise personnel promotes.
Above-mentioned explanation illustrates and has described a preferred embodiment of the present invention, but as previously mentioned, be to be understood that the present invention is not limited to the disclosed form of this paper, should not regard the eliminating to other embodiment as, and can be used for various other combinations, modification and environment, and can in invention contemplated scope described herein, change by technology or the knowledge of above-mentioned instruction or association area.And the change that those skilled in the art carry out and variation do not break away from the spirit and scope of the present invention, then all should be in the protection domain of claims of the present invention.
Claims (11)
1. the method for building up of an enterprise staff learning data model is characterized in that, comprising:
Collect post information and enterprise staff personal information;
According to post information and enterprise staff personal information, set up the ability quality model;
Set up personal growth path system according to the ability quality model.
2. the method for claim 1 is characterized in that, the step of described collection post information and enterprise staff personal information specifically comprises:
Collect described post information and comprise post, job duty instructions, from qualitative angle classified in the post, determine enterprise post and organising data; And the personal information of collecting enterprise staff.
3. the method for claim 1 is characterized in that, and is described according to post information and enterprise staff personal information, sets up the step of ability quality model, specifically comprises:
According to the job duty instructions, take post capability quality detailed rules and regulations as granularity, in conjunction with the post role, divide ability rating;
Extract post capability quality, identification KPI Key Performance Indicator and scope section;
According to the KPI Key Performance Indicator that identifies and scope section, in conjunction with the job duty instructions, export complete ability quality model.
4. the method for claim 1 is characterized in that, describedly sets up the step of personal growth path system according to the ability quality model, specifically comprises:
With employee's Individual Performance information, with the ability quality Model Matching, take post capability quality as granularity, obtain the capacity gap analysis result;
According to profile's gap analysis result, the relation between the analysis ability quality obtains personal growth path system.
5. method as claimed in claim 4 is characterized in that, and is described according to profile's gap analysis result, and the relation between the analysis ability quality obtains personal growth path system, specifically comprises:
A) appoint and get the wherein capacity gap in an employee post;
B) according to the standard support of the post capability of enterprise regulation, based on association rule algorithm, obtain degree of confidence, obtain strongly connected ability quality;
C) by adjusting support, return previous step b, obtain the ability that relevance weakens more, until reach till the minimum support;
D) by above a, b, three steps of c, the incidence relation structure of every capacity gap of traversal output, all capacity gap relations of combination individual obtain personal growth path system.
6. the method for claim 1 is characterized in that, described method further comprises: the step that represents system's achievement data.
7. the system that sets up of an enterprise staff learning data model is characterized in that, comprising: the information module, and the ability quality MBM, the Establishing module,
Described information module is used for collecting post information and enterprise staff personal information;
Described ability quality MBM is used for the collection information according to described information module, sets up the ability quality model;
Described Establishing module is used for setting up personal growth path system according to the ability quality model that described ability quality MBM is set up.
8. the system that sets up as claimed in claim 7 is characterized in that, described information module specifically is used for:
Collect described post information and comprise post, job duty instructions, from qualitative angle classified in the post, determine enterprise post and organising data; And the personal information of collecting enterprise staff.
9. the system that sets up as claimed in claim 7 is characterized in that, described ability quality MBM specifically is used for:
According to the job duty instructions, take post capability quality detailed rules and regulations as granularity, in conjunction with the post role, divide ability rating;
Extract post capability quality, identification KPI Key Performance Indicator and scope section;
According to above-mentioned KPI Key Performance Indicator and scope section, in conjunction with the job duty instructions, export complete ability quality model.
10. the system that sets up as claimed in claim 7 is characterized in that, described Establishing module specifically is used for:
With employee's Individual Performance information, with the ability quality Model Matching, take post capability quality as granularity, obtain the capacity gap analysis result;
According to profile's gap analysis result, the relation between the analysis ability quality obtains personal growth path system.
11. the system that sets up as claimed in claim 7 is characterized in that, described system also comprises achievement data exhibiting module, is used for representing system's achievement data.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103714413A (en) * | 2013-11-21 | 2014-04-09 | 清华大学 | Position information-based competence model construction system and method |
| CN105205087A (en) * | 2014-06-30 | 2015-12-30 | 中兴通讯股份有限公司 | Method and device for processing data analysis results of big data |
| WO2018000395A1 (en) * | 2016-06-30 | 2018-01-04 | 华为技术有限公司 | Method and apparatus for managing data |
| 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 |
| CN107993169A (en) * | 2017-11-27 | 2018-05-04 | 郝力云 | Foreign trade teaching platform and system |
| WO2018120123A1 (en) * | 2016-12-30 | 2018-07-05 | Microsoft Technology Licensing, Llc | Goal navigation |
| CN109272430A (en) * | 2018-09-25 | 2019-01-25 | 东北大学 | Autonomous learning systems towards intelligence manufacture |
| CN110119877A (en) * | 2019-04-04 | 2019-08-13 | 平安科技（深圳）有限公司 | A kind of choosing method and equipment of target employee |
| CN110598963A (en) * | 2018-06-13 | 2019-12-20 | 顺丰科技有限公司 | Method, device, equipment and storage medium for matching human posts |
| CN111078664A (en) * | 2019-11-29 | 2020-04-28 | 北京仿真中心 | Data acquisition method and system for model-based system engineering |
| CN112418599A (en) * | 2020-10-15 | 2021-02-26 | 重庆市科学技术研究院 | Enterprise growth path planning method and system based on index set |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005338988A (en) * | 2004-05-25 | 2005-12-08 | Hitachi Software Eng Co Ltd | Name card information management system and method with ic card |
-
2012
- 2012-12-07 CN CN2012105241895A patent/CN102968698A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005338988A (en) * | 2004-05-25 | 2005-12-08 | Hitachi Software Eng Co Ltd | Name card information management system and method with ic card |
Non-Patent Citations (1)
| Title |
|---|
| 罗军: "《中小软件企业基于能本管理的员工绩效管理模式研究及应用》", 《中国优秀硕士学位论文全文数据库经济与管理科学辑》 * |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103714413A (en) * | 2013-11-21 | 2014-04-09 | 清华大学 | Position information-based competence model construction system and method |
| CN105205087A (en) * | 2014-06-30 | 2015-12-30 | 中兴通讯股份有限公司 | Method and device for processing data analysis results of big data |
| WO2018000395A1 (en) * | 2016-06-30 | 2018-01-04 | 华为技术有限公司 | Method and apparatus for managing data |
| WO2018120123A1 (en) * | 2016-12-30 | 2018-07-05 | Microsoft Technology Licensing, Llc | Goal navigation |
| 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 |
| CN107609835B (en) * | 2017-07-28 | 2023-04-18 | 国网辽宁省电力有限公司 | Power grid manpower configuration application system and method |
| CN107993169A (en) * | 2017-11-27 | 2018-05-04 | 郝力云 | Foreign trade teaching platform and system |
| CN110598963A (en) * | 2018-06-13 | 2019-12-20 | 顺丰科技有限公司 | Method, device, equipment and storage medium for matching human posts |
| CN109272430A (en) * | 2018-09-25 | 2019-01-25 | 东北大学 | Autonomous learning systems towards intelligence manufacture |
| CN110119877B (en) * | 2019-04-04 | 2022-12-09 | 平安科技（深圳）有限公司 | Target employee selection method and device |
| CN110119877A (en) * | 2019-04-04 | 2019-08-13 | 平安科技（深圳）有限公司 | A kind of choosing method and equipment of target employee |
| CN111078664A (en) * | 2019-11-29 | 2020-04-28 | 北京仿真中心 | Data acquisition method and system for model-based system engineering |
| CN111078664B (en) * | 2019-11-29 | 2023-09-15 | 北京仿真中心 | Model-based system engineering data acquisition method and system |
| CN112418599A (en) * | 2020-10-15 | 2021-02-26 | 重庆市科学技术研究院 | Enterprise growth path planning method and system based on index set |
| CN112418599B (en) * | 2020-10-15 | 2023-02-10 | 重庆市科学技术研究院 | Enterprise growth path planning method and system based on index set |
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Application publication date: 20130313 |