CN108876179A - A kind of enterprise's Reliability evaluation method and system based on big data - Google Patents
A kind of enterprise's Reliability evaluation method and system based on big data Download PDFInfo
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- CN108876179A CN108876179A CN201810697413.8A CN201810697413A CN108876179A CN 108876179 A CN108876179 A CN 108876179A CN 201810697413 A CN201810697413 A CN 201810697413A CN 108876179 A CN108876179 A CN 108876179A
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- 238000011156 evaluation Methods 0.000 title claims abstract description 105
- 238000004321 preservation Methods 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 description 5
- 230000000739 chaotic effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
Classifications
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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
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
Abstract
The present invention discloses a kind of enterprise's Reliability evaluation method and system based on big data, and this approach includes the following steps：Obtain company information；Obtain employee's evaluation information；Enterprise's Reliability is calculated according to company information and employee's evaluation information；Enterprise's Reliability calculated result is shown.The present invention is combined according to company information and employee's evaluation information and is calculated enterprise's Reliability, can effectively improve the accuracy of Reliability evaluation result, greatly improves the reference value of evaluation result.
Description
Technical field
The present invention relates to valuation of enterprise fields, and in particular to a kind of enterprise's Reliability evaluation method based on big data and
System.
Background technique
Under the development wave of cloud computing, big data is constantly mature, gradually becomes the Hot spots for development of industry.On the other hand,
The development of today of rapid economic development, enterprise be unable to do without the talent, are also intended to fully understand each of enterprise from the angle of job hunter
Aspect situation, convenient for the selection of work, the development of occupation, the embodiment of the value of life.
But current valuation of enterprise system is more chaotic, evaluation information inaccuracy, evaluation result reference value is little,
It makes troubles to job hunter.
Summary of the invention
To solve the above problems, the present invention provide it is a kind of can provide accurately, the big enterprise based on big data of reference value
Industry Reliability evaluation method and system.
The technical scheme is that：A kind of enterprise's Reliability evaluation method based on big data, includes the following steps：
Obtain company information；
Obtain employee's evaluation information；
Enterprise's Reliability is calculated according to company information and employee's evaluation information；
Enterprise's Reliability calculated result is shown.
Further, the acquisition company information includes：
Company information is obtained from industry and commerce, social security department by data-interface.
Further,
The company information include enterprises registration time, enterprise staff pay social security start over the time.
Further, obtaining employee's evaluation information includes：
Employee is logged in using identification card number registration；
It number is compared with the company information obtained from social security department according to worker's card, determines the employee whether or once
Through in the enterprise work；
The employee to upcheck carries out marking evaluation to enterprise.
Further,
Employee carries out marking evaluation to the money wages of enterprise, environment, development opportunity, overtime work pressure, other welfares.
Further, calculate to enterprise's Reliability according to company information and employee's evaluation information includes following meter
It calculates：
It is on-job without evaluation employee=（On-job duration/company sets up duration）* 50 + 50；
It is on-job have evaluation employee=（On-job duration/company sets up duration）* 30+employee evaluation divides * 70%；
Leave office without evaluation employee=（On-job duration/company sets up duration）* 100；
Leaving office have evaluation employee=（On-job duration/company sets up duration）* 50+employee evaluation divides * 50%；
Enterprise can rely on after degree score=above 4 kinds of situations employee's score adds up and average.
It further, further include step：
Company information, employee's evaluation information, enterprise's Reliability calculated result are saved.
Enterprise's Reliability evaluation system based on big data that the present invention also provides a kind of, including：
Company information obtains module：For obtaining company information；
Employee's evaluation information obtains module：For obtaining employee's evaluation information；
Enterprise's Reliability computing module：Based on being carried out according to company information and employee's evaluation information to enterprise's Reliability
It calculates；
Information display module：For being shown to enterprise's Reliability calculated result.
Further, employee's evaluation information acquisition module includes：
Employee, which registers, logs in unit：It is logged in for employee using identification card number registration；
Worker's verification unit：For being compared according to worker's card number with the company information obtained from social security department,
Determine the employee whether or once in the enterprise work；
Employee's marking evaluation unit：Employee for upchecking carries out marking evaluation to enterprise.
Further, further include：
Information preservation module：For being saved to company information, employee's evaluation information, enterprise's Reliability calculated result.
Enterprise's Reliability evaluation method and system provided by the invention based on big data, according to company information and employee
Evaluation information, which combines, calculates enterprise's Reliability, can effectively improve the accuracy of Reliability evaluation result, significantly
Improve the reference value of evaluation result.
Also, company information of the invention is obtained from industrial and commercial, social security related governmental departments, and information accuracy rate is high, and can obtain
Employee's social security is taken to pay information, employee is logged in using identification card number real name, can just be commented enterprise after examining to worker
On the one hand valence avoids nonbusiness employee from evaluating enterprise, influence evaluation result, on the other hand according to worker and being obtained
The employee's social security taken, which pays information, can determine whether that employee is on-job and leaving office situation, further calculate for subsequent Reliability and provides
Foundation comprehensively considers Reliability calculated result on-job and the case where leave office, and to also consider employee on-job for Reliability calculating
Duration and company set up duration parameters, embody whether employee is the longer old employee of on-job duration, after comprehensively considering each factor,
The reference value for greatly improving evaluation result, offers convenience for job hunter.
Detailed description of the invention
Fig. 1 is specific embodiment of the invention method flow schematic diagram.
Specific embodiment
The present invention will be described in detail with reference to the accompanying drawing and by specific embodiment, and following embodiment is to the present invention
Explanation, and the invention is not limited to following implementation.
As shown in Figure 1, the present embodiment provides a kind of enterprise's Reliability evaluation method based on big data, including following step
Suddenly：
S1：Obtain company information；
S2：Obtain employee's evaluation information；
S3：Enterprise's Reliability is calculated according to company information and employee's evaluation information；
S4：Enterprise's Reliability calculated result is shown.
In the present embodiment, industrial and commercial, social security department provides master data query interface, by data-interface from industry and commerce, social security
Department obtains company information.
Acquired company information includes the enterprises registration time obtained from the administration for industry and commerce and the enterprise obtained from social security department
What industry employee paid social security starts over the time.According to its enterprises registration time it can be seen that enterprise sets up duration.Enterprise staff is paid
Social security information of receiving include worker card number, social security information is paid according to enterprise staff, both it can be seen that employee it is on-job or leave office,
It would know that the on-job duration of employee again, also can get enterprise personnel and constitute, provide parameter for the calculating of downstream industry's Reliability.
In the present embodiment, employee is logged in using identification card number registration, enterprise or once worked enterprise where searching into
Row marking evaluation.This method can be compared according to identification card number with the information obtained from social security department, determine that this user is this
The employee of a enterprise or once in this enterprise work mistake, the registration user to upcheck can give a mark to enterprise, user
It gives a mark to every content of enterprise.Specifically include following steps：
S201：Employee is logged in using identification card number registration；
S201：It is compared according to worker's card number with the company information obtained from social security department, determines the employee whether just
Or once in the enterprise work；
S203：The employee to upcheck carries out marking evaluation to enterprise.
Employee can give a mark to every content of enterprise, including money wages, environment, development opportunity, overtime work pressure
Power, other welfares.Certainly marking item is not limited to above several, can be increased or be deleted as needed.
The present embodiment evaluates enterprise's Reliability and calculates standard using the marking for meeting 100 points, and Reliability calculating relates to
And it is whether on-job, whether there is evaluation, on-job duration, company to set up duration etc..Specifically include following calculating：
It is on-job without evaluation employee=（On-job duration/company sets up duration）* 50 + 50；
It is on-job have evaluation employee=（On-job duration/company sets up duration）* 30+employee evaluation divides * 70%；
Leave office without evaluation employee=（On-job duration/company sets up duration）* 100；
Leaving office have evaluation employee=（On-job duration/company sets up duration）* 50+employee evaluation divides * 50%；
Enterprise can rely on after degree score=above 4 kinds of situations employee's score adds up and average.
Above-mentioned Reliability calculated result comprehensively considers the case where on-job and leaving office, it is also contemplated that the on-job duration of employee and company
Duration parameters are set up, embody whether employee is the longer old employee of on-job duration, if enterprise major part employee is old employee,
It naturally is the reliable enterprise of job hunter.Such algorithm greatly improves the accuracy of enterprise's Reliability evaluation result and can refer to
Property.
In the present embodiment, the content that enterprise's Reliability calculated result is shown may include enterprise's score, employee's items
Score, evaluation content etc. are evaluated, enterprise's correlation data of the same trade etc. can also be shown certainly, can show as needed to display
Content is referred to for job hunter.
It further include step S5 in the present embodiment：To company information, employee's evaluation information, enterprise's Reliability calculated result
It is saved.
Data are stored using enterprise, employee as kernel entity, are stored using enterprise-staff relationship as entity relationship model,
Company information, employee information, evaluation information, score information are stored in using big data as in the database of storage architecture.It is complete
Big data database provides data for subsequent query etc..
The present embodiment also provides the system for realizing the above method, which comprises the following modules：
Company information obtains module：For obtaining company information；
Employee's evaluation information obtains module：For obtaining employee's evaluation information；
Enterprise's Reliability computing module：Based on being carried out according to company information and employee's evaluation information to enterprise's Reliability
It calculates；
Information display module：For being shown to enterprise's Reliability calculated result.
Wherein, company information obtains module and obtains company information, acquired enterprise from industrial and commercial, social security department by data-interface
Industry information include enterprises registration time, enterprise staff pay social security start over the time.
Employee's evaluation information obtains module：
Employee, which registers, logs in unit：It is logged in for employee using identification card number registration；
Worker's verification unit：For being compared according to worker's card number with the company information obtained from social security department,
Determine the employee whether or once in the enterprise work；
Employee's marking evaluation unit：Employee for upchecking carries out marking evaluation to enterprise.
Enterprise's Reliability computing module calculates enterprise's Reliability by following formula：
It is on-job without evaluation employee=（On-job duration/company sets up duration）* 50 + 50；
It is on-job have evaluation employee=（On-job duration/company sets up duration）* 30+employee evaluation divides * 70%；
Leave office without evaluation employee=（On-job duration/company sets up duration）* 100；
Leaving office have evaluation employee=（On-job duration/company sets up duration）* 50+employee evaluation divides * 50%；
Enterprise can rely on after degree score=above 4 kinds of situations employee's score adds up and average.
The content that information display module is shown may include enterprise's score, employee's items evaluation score, evaluation content etc.,
Certainly it can also show enterprise's correlation data of the same trade etc., can show content to display as needed, be referred to for job hunter.
The system of the present embodiment further includes information preservation module：For to company information, employee's evaluation information, enterprise is credible
Degree calculated result is relied to be saved.Data are stored using enterprise, employee as kernel entity, using enterprise-staff relationship as entity relationship
Model is stored, and company information, employee information, evaluation information, score information are stored in using big data as storage architecture
In database.Complete big data database provides data for subsequent query etc..
Method and system provided in this embodiment combine believable to enterprise according to company information and employee's evaluation information
Degree is calculated, and is effectively increased the accuracy of Reliability evaluation result, is greatly improved the reference value of evaluation result.
Disclosed above is only the preferred embodiment of the present invention, but the present invention is not limited to this, any this field
What technical staff can think does not have creative variation, and without departing from the principles of the present invention made by several improvement and
Retouching, should all be within the scope of the present invention.
Claims (10)
1. a kind of enterprise's Reliability evaluation method based on big data, which is characterized in that include the following steps：
Obtain company information；
Obtain employee's evaluation information；
Enterprise's Reliability is calculated according to company information and employee's evaluation information；
Enterprise's Reliability calculated result is shown.
2. enterprise's Reliability evaluation method according to claim 1 based on big data, which is characterized in that the acquisition
Company information includes：
Company information is obtained from industry and commerce, social security department by data-interface.
3. enterprise's Reliability evaluation method according to claim 2 based on big data, which is characterized in that
The company information include enterprises registration time, enterprise staff pay social security start over the time.
4. enterprise's Reliability evaluation method according to claim 3 based on big data, which is characterized in that obtain employee
Evaluation information includes：
Employee is logged in using identification card number registration；
It number is compared with the company information obtained from social security department according to worker's card, determines the employee whether or once
Through in the enterprise work；
The employee to upcheck carries out marking evaluation to enterprise.
5. enterprise's Reliability evaluation method according to claim 4 based on big data, which is characterized in that
Employee carries out marking evaluation to the money wages of enterprise, environment, development opportunity, overtime work pressure, other welfares.
6. enterprise's Reliability evaluation method according to claim 4 or 5 based on big data, which is characterized in that according to
It includes following calculating that company information and employee's evaluation information, which calculate to enterprise's Reliability,：
It is on-job without evaluation employee=（On-job duration/company sets up duration）* 50 + 50；
It is on-job have evaluation employee=（On-job duration/company sets up duration）* 30+employee evaluation divides * 70%；
Leave office without evaluation employee=（On-job duration/company sets up duration）* 100；
Leaving office have evaluation employee=（On-job duration/company sets up duration）* 50+employee evaluation divides * 50%；
Enterprise can rely on after degree score=above 4 kinds of situations employee's score adds up and average.
7. enterprise's Reliability evaluation method according to claim 1-5 based on big data, which is characterized in that
It further include step：
Company information, employee's evaluation information, enterprise's Reliability calculated result are saved.
8. a kind of enterprise's Reliability evaluation system based on big data, which is characterized in that including：
Company information obtains module：For obtaining company information；
Employee's evaluation information obtains module：For obtaining employee's evaluation information；
Enterprise's Reliability computing module：Based on being carried out according to company information and employee's evaluation information to enterprise's Reliability
It calculates；
Information display module：For being shown to enterprise's Reliability calculated result.
9. enterprise's Reliability evaluation system according to claim 8 based on big data, which is characterized in that the employee
Evaluation information obtains module：
Employee, which registers, logs in unit：It is logged in for employee using identification card number registration；
Worker's verification unit：For being compared according to worker's card number with the company information obtained from social security department,
Determine the employee whether or once in the enterprise work；
Employee's marking evaluation unit：Employee for upchecking carries out marking evaluation to enterprise.
10. enterprise's Reliability evaluation system according to claim 9 based on big data, which is characterized in that further include：
Information preservation module：For being saved to company information, employee's evaluation information, enterprise's Reliability calculated result.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810697413.8A CN108876179A (en) | 2018-06-29 | 2018-06-29 | A kind of enterprise's Reliability evaluation method and system based on big data |
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| CN201810697413.8A CN108876179A (en) | 2018-06-29 | 2018-06-29 | A kind of enterprise's Reliability evaluation method and system based on big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109961271A (en) * | 2019-03-24 | 2019-07-02 | 孔德议 | A kind of human resources recruitment information management system |
| CN112966070A (en) * | 2021-02-03 | 2021-06-15 | 杭州师范大学 | Company employee comment analysis system and method based on aspect emotion analysis |
-
2018
- 2018-06-29 CN CN201810697413.8A patent/CN108876179A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109961271A (en) * | 2019-03-24 | 2019-07-02 | 孔德议 | A kind of human resources recruitment information management system |
| CN112966070A (en) * | 2021-02-03 | 2021-06-15 | 杭州师范大学 | Company employee comment analysis system and method based on aspect emotion analysis |
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