CN107451722A - A kind of emolument provides monitor and analysis system - Google Patents
A kind of emolument provides monitor and analysis system Download PDFInfo
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- CN107451722A CN107451722A CN201710548114.3A CN201710548114A CN107451722A CN 107451722 A CN107451722 A CN 107451722A CN 201710548114 A CN201710548114 A CN 201710548114A CN 107451722 A CN107451722 A CN 107451722A
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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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06398—Performance of employee with respect to a job function
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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
- G06Q10/1057—Benefits or employee welfare, e.g. insurance, holiday or retirement packages
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Abstract
A kind of large-scale power Enterprise Salary granting monitoring of the present invention realizes system, including User Access Layer, presentation layer, infrastructure layer, data analysis layer, data Layer, resource layer with analysis.Using the big data technology for mass data computing, multi-layer data analysis platform is established, is divided into acquisition function area, store function area, computing function area, machine modeling area.By unified collection and the compensation data of the storage Duo Jia branch and subsidiaries of subordinate 100 and 100,000 employees, the characteristics of for different analysis demands, in machine modeling area structure data model, compensation data various dimensions, multi objective and real-time intelligent analysis are carried out.
Description
Technical field
The present invention relates to the technical field of emolument granting monitoring and analysis, monitored more particularly, to a kind of emolument granting
With analysis system.
Background technology
Under the conditions of using knowledge, technology, information as the modern economy of key element, business organization starts to show some new
Feature, human resources turn into enterprise keystone resources, the granting and monitoring of emolument, realize using basic data as foundation, finely
Change management, improve the operating efficiency of human resources, improve service quality.
Salary distribution management is made up of 6 secondary function modules, comprising basic data configuration, increases the processing of employee's money, the personnel reduction
Wage processing, perform the processing of post level pay grade, wage accounting and granting, machine account statistics and analysis.
The Technical Architecture of salary distribution management module uses B/S（Browser/server）Architecture, build on J2EE
Multilayer application framework on (Java 2 Platform, Enterprise Edition) platform, using the interface collection of maturation
Into framework, business process engine, reuse Service Component, there is provided EIP is integrated, and SSO unified certifications is completed, using service-oriented body
Architecture（SOA）It is provided out interface service.
The content of the invention
Original function stresses the Whole Course Management of salary distribution, and report form statistics function is single, as system application is increasingly deep
Enter, compensation data is increasingly perfect, is badly in need of being acquired the compensation data of the Duo Jia branch and subsidiaries of subordinate 100 and 100,000 employees, right
Emolument is provided situation and is monitored, and grasps and monitors unit emolument situations at different levels comprehensively, realize fine-grained management.Based on existing system
System framework, the operation efficiency of magnanimity compensation data is low, and statement analysis function is weak, therefore how quick to magnanimity compensation data
Computing and in-depth analysis turn into huge difficult point.
In order to solve the above technical problems, the present invention provides a kind of large-scale power Enterprise Salary granting monitoring realizes system with analysis
System, its technical scheme used are：
A kind of emolument provides monitor and analysis system, and it includes：
User Access Layer, including company leader, the specific responsibility of business related management；
Presentation layer, personnel's paying out wages of unit are monitored, provide personnel's income data analysis displaying, wage income and society
Can industry data comparative analysis；
Infrastructure layer, the maximum early warning number for performing post level and the maximum unit for performing pay grade generation of setting unit, set and add
Monitoring personnel and monitoring interval value, set early warning recipient, set social industry correlation wage emolument and labour market valence mumber
According to；
Data analysis layer, the wage data provided constituent parts are analyzed；
Data Layer, including：Employee information storehouse, agency information storehouse, payroll administration database, staqtistical data base；
Resource layer, for resource management and clustered deploy(ment).
Further, the data analysis layer includes：
Data acquisition function area, it is main to realize from HRMS data sources data, will by certain conversion
Data are loaded into designated memory space；
Store function area, mainly realizes data storage, and with the sustainable growth of data volume, and analyze data source is various
Change；
Computing function area, it is diversified to be mainly used in ultra-large offer data volume, service request high-throughput and data type
Computing capability；
Machine models area, is made up of big data Machine self-learning platform, based on distributed batch processing framework, distributed memory processing
The big data science correlation technique of framework, the real-time framework of distributed stream data and large-scale machines learning algorithm storehouse, by machine
Learning algorithm is packaged into standards service, there is provided applications are called.
Further, the staqtistical data base of described data Layer includes：Recruitment information database, performance management database, hilllock
Position information database, training evaluation information database, personnel administration database, Talent Management database.
Further, described resource layer includes：
Resource management, it is main to realize to human resources, technical resource, organizational resources, a centralized management of information resources；
Clustered deploy(ment), mainly realize that the server between company is interconnected, the user between being allowed to can communicate；
Load balancing, main realize select suitable load balancing, enable multiple equipment to complete to appoint well jointly
Business, eliminate or avoid the bottleneck of the crowded reaction time length of existing network load distribution inequality, data traffic；
Hardware infrastructure, that mainly realizes management and monitoring hardware infrastructure uses and monitors its working condition；
O＆M is monitored, and the main monitoring realized to operation system operation is safeguarded, optimizes systems stabilisation, ensures service security and stably
Operation.
Further, described infrastructure layer includes：User management, role-security management, organizational structure, script engine,
Workflow engine, Report Engine, uniform data management, safe handling, messenger service, timing services, UI Component Galleries, daily place
Reason；
Further, described presentation layer includes：Access Control, service management.
Further, described Access Control includes：Agreement logs in, Certificate Authority, Operation Log.
Further, described service management includes：Organization and administration, recruitment management, labor management, educational training pipe
Reason, personnel administration, performance and evaluation management, payroll administration, employee show loving care for.
Brief description of the drawings
Fig. 1 is overall structure diagram of the present invention.
Embodiment
Accompanying drawing being given for example only property explanation, it is impossible to be interpreted as the limitation to this patent；It is attached in order to more preferably illustrate the present embodiment
Scheme some parts to have omission, zoom in or out, do not represent the size of actual product；To those skilled in the art,
Some known features and its explanation may be omitted and will be understood by accompanying drawing.Being given for example only property of position relationship described in accompanying drawing
Explanation, it is impossible to be interpreted as the limitation to this patent.
Reference picture 1, a kind of electric power enterprise emolument of the present invention provide monitor and analysis system, including：User Access Layer, performance
Layer, infrastructure layer, data analysis layer, data Layer, resource layer.
Wherein, User Access Layer includes：Company leader, the specific responsibility of business related management.
Presentation layer, there is following effect：
1st, personnel's paying out wages of unit are monitored, respectively with the granting number of unit, granting quota, granting structure, hair
Degree of putting into, wages unusual fluctuation, the data of individual control this 6 core dimensions are monitored.
2nd, the wage income of granting personnel's wage to unit, emolument income are analyzed, and the data of dimension can be entered
After row advanced bar year, analysis displaying is carried out.
3rd, per capita salary is taken in, emolument income social industry data is analyzed per capita.
Infrastructure layer, there is following effect：
1st, the maximum early warning number for performing post level and the maximum unit for performing pay grade generation of setting unit, editable, modification, supports half
Give birth to the monitoring matrix table of number in hilllock.Multiple entry-into-force times can be set, meet the needs in different sections.
The 2nd, addition monitoring personnel, the monitoring interval value of designer are set, and early warning recipient is set to unit.
The 3rd, the related per capita salary's income of social industry, per capita emolument income, labour market price data are set.
Data analysis layer, the wage data provided constituent parts are analyzed.
Data Layer, including：Employee information storehouse, agency information storehouse, payroll administration database, staqtistical data base.
Resource layer, for resource management and clustered deploy(ment).
Wherein, data analysis layer includes：Data acquisition function area, store function area, computing function area, machine modeling area.
Data acquisition function area, it is main to realize from HRMS data sources data, turn by certain
Change, load data into designated memory space.
Store function area, mainly realizes data storage, and with the sustainable growth of data volume, and analyze data source is more
Sample.
Computing function area, it is various to be mainly used in ultra-large offer data volume, service request high-throughput and data type
The computing capability of change.
Machine models area, is made up of big data Machine self-learning platform, based on distributed batch processing framework, distributed memory
Framework, the real-time framework of distributed stream data and the big data science correlation technique in large-scale machines learning algorithm storehouse are handled, will
Machine learning algorithm is packaged into standards service, there is provided applications are called.
In addition, data Layer includes：Employee information storehouse, include but is not limited to, employee name, sex, ID card information, photograph
Piece；Agency information storehouse, include but is not limited to, organization name, tissue code etc.；Recruitment information database, including it is but unlimited
In recruitment post, emolument, number etc.；Payroll administration database, including but not limited to post emolument, the salary formation ratio, man-hour
Deng；Performance management database, including but not limited to attendance information, performance data etc.；Status information data storehouse, include but is not limited to
Positions demand number, recruitment requirement, salary and conditions etc.；Rating database is trained, including but not limited to trains feedback score, training
Number, training contents etc.；Personnel administration database, including but not limited to cadre's personal information, resume etc.；Talent Management data
Storehouse, including but not limited to talent's personal information, resume etc..
Resource layer includes；Resource management, clustered deploy(ment), load balancing, hardware infrastructure and O＆M monitoring.
Resource management is mainly realized to human resources, technical resource, organizational resources, a centralized management of information resources.
Clustered deploy(ment), mainly realize that the server between enterprise is interconnected, the user between being allowed to can communicate.
Load balancing, main realize select suitable load balancing, enable multiple equipment common complete well
Into task, the bottleneck for eliminating or avoiding existing network load distribution inequality, data traffic crowded reaction time to grow.
Hardware infrastructure, that mainly realizes management and monitoring hardware infrastructure uses and monitors its working condition.
O＆M is monitored, and the main monitoring realized to operation system operation is safeguarded, optimizes systems stabilisation, ensure service security and
Stable operation.
Facility layer includes：User management, role-security management, organizational structure, script engine, workflow engine, form draw
Hold up, uniform data management, safe handling, messenger service, timing services, UI Component Galleries, normal handling.
Presentation layer includes：Access Control, service management.
Access Control includes uniformly logging in, conscientiously authorizes, operates diary.
Service management includes：Organization and administration, recruitment management, labor management, educational training management, personnel administration, achievement
Effect is shown loving care for evaluation management, payroll administration and employee.
Organization and administration：Including information department management, post system management, staff's management, key post successor pipe
Reason.
Recruitment management：Program management is performed including recruitment plan management and recruitment.
Labor management：Including recruitment planning management, adjustmenting management, diligent false tube reason, labor contract management, labour dispute
Management, personnel file management, the management of work Remedy, labour protection articles for use management, employee information management, retired management.
Educational training management：Including training illness management, recruitment file administration, qualification authentication, feelings management, career
With development plan management, evaluation file administration, item bank management, and interacted with company other systems, including data resource pipe
Platform, information integrated platform, financial system, file administration platform, material Management System, safety production system, integrated management
System, recruitment system are commented in system, 4A platforms, training.
Personnel administration：Including cadre's information management, leadership building, assessment of cadres, choice and appointment of cadres, reserve cadre
Management, cadre's supervision.
Performance and evaluation management：Performance management.
Payroll administration：Including cost of labor budget management, wage standard management, emolument calculates and payment management, insurance good fortune
Sharp information management, emolument and insurance accounting management.
Employee shows loving care for：It is vertical including Happiness management, exchange and interdynamic management, psychological risk management, the pregnant planning management of wedding, praise
Work(management, happy file administration.
User's presentation layer user of service is unified to access labor management system by 4A platform authentications；Logged in by browser
Access compensation management system.
Obviously, the above embodiment of the present invention is only intended to clearly illustrate example of the present invention, and is not pair
The restriction of embodiments of the present invention.For those of ordinary skill in the field, may be used also on the basis of the above description
To make other changes in different forms.There is no necessity and possibility to exhaust all the enbodiments.It is all this
All any modification, equivalent and improvement made within the spirit and principle of invention etc., should be included in the claims in the present invention
Protection domain within.
Claims (8)
1. a kind of emolument provides monitor and analysis system, it is characterised in that the emolument, which provides monitor and analysis system, to be included：
User Access Layer, including company leader, the specific responsibility of business related management；
Presentation layer, personnel's paying out wages of unit are monitored, provide personnel's income data analysis displaying, wage income and society
Can industry data comparative analysis；
Infrastructure layer, the maximum early warning number for performing post level and the maximum unit for performing pay grade generation of setting unit, set and add
Monitoring personnel and monitoring interval value, set early warning recipient, set social industry correlation wage emolument and labour market valence mumber
According to；
Data analysis layer, the wage data provided constituent parts are analyzed；
Data Layer, including：Employee information storehouse, agency information storehouse, payroll administration database, staqtistical data base；
Resource layer, for resource management and clustered deploy(ment).
2. emolument according to claim 1 provides monitor and analysis system, it is characterised in that the data analysis layer bag
Include：
Data acquisition function area, it is main to realize from HRMS data sources data, will by certain conversion
Data are loaded into designated memory space；
Store function area, mainly realizes data storage, and with the sustainable growth of data volume, and analyze data source is various
Change；
Computing function area, it is diversified to be mainly used in ultra-large offer data volume, service request high-throughput and data type
Computing capability；
Machine models area, is made up of big data Machine self-learning platform, based on distributed batch processing framework, distributed memory processing
The big data science correlation technique of framework, the real-time framework of distributed stream data and large-scale machines learning algorithm storehouse, by machine
Learning algorithm is packaged into standards service, there is provided applications are called.
3. emolument according to claim 1 provides monitor and analysis system, it is characterised in that the statistics of described data Layer
Database includes：It is recruitment information database, performance management database, status information data storehouse, training evaluation information database, dry
Portion's management database, Talent Management database.
4. emolument according to claim 1 provides monitor and analysis system, it is characterised in that described resource layer includes：
Resource management, it is main to realize to human resources, technical resource, organizational resources, a centralized management of information resources；
Clustered deploy(ment), mainly realize that the server between company is interconnected, the user between being allowed to can communicate；
Load balancing, main realize select suitable load balancing, enable multiple equipment to complete to appoint well jointly
Business, eliminate or avoid the bottleneck of the crowded reaction time length of existing network load distribution inequality, data traffic；
Hardware infrastructure, that mainly realizes management and monitoring hardware infrastructure uses and monitors its working condition；
O＆M is monitored, and the main monitoring realized to operation system operation is safeguarded, optimizes systems stabilisation, ensures service security and stably
Operation.
5. emolument according to claim 1 provides monitor and analysis system, it is characterised in that described infrastructure layer bag
Include：User management, role-security management, organizational structure, script engine, workflow engine, Report Engine, uniform data management,
Safe handling, messenger service, timing services, UI Component Galleries, normal handling.
6. emolument according to claim 1 provides monitor and analysis system, it is characterised in that described presentation layer includes：
Access Control, service management.
7. emolument according to claim 6 provides monitor and analysis system, it is characterised in that described Access Control bag
Include：Agreement logs in, Certificate Authority, Operation Log.
8. emolument according to claim 6 provides monitor and analysis system, it is characterised in that described service management bag
Include：Organization and administration, recruitment management, labor management, educational training management, personnel administration, performance and evaluation management, emolument pipe
Reason, employee show loving care for.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710548114.3A CN107451722A (en) | 2017-07-06 | 2017-07-06 | A kind of emolument provides monitor and analysis system |
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| CN201710548114.3A CN107451722A (en) | 2017-07-06 | 2017-07-06 | A kind of emolument provides monitor and analysis system |
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| CN201710548114.3A Pending CN107451722A (en) | 2017-07-06 | 2017-07-06 | A kind of emolument provides monitor and analysis system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111489136A (en) * | 2020-04-16 | 2020-08-04 | 于洁 | Enterprise salary management system |
| CN113515494A (en) * | 2020-04-09 | 2021-10-19 | 中国移动通信集团广东有限公司 | Database processing method based on distributed file system and electronic equipment |
| CN116976842A (en) * | 2023-09-22 | 2023-10-31 | 湖南三湘银行股份有限公司 | Automatic compensation accounting method based on diversified configuration enterprises |
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Cited By (5)
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Application publication date: 20171208 |