CN107330577A - A kind of company evaluation system and method based on big data - Google Patents
A kind of company evaluation system and method based on big data Download PDFInfo
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- CN107330577A CN107330577A CN201710367348.8A CN201710367348A CN107330577A CN 107330577 A CN107330577 A CN 107330577A CN 201710367348 A CN201710367348 A CN 201710367348A CN 107330577 A CN107330577 A CN 107330577A
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- 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
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Abstract
The invention discloses a kind of company evaluation system and method based on big data, methods described includes：Letter data sorting module, data preparation, the company data of the targeted company after being arranged are carried out for the company data to targeted company；Distributed storage module, the company data of the targeted company after being arranged for distributed storage；Analysis evaluation module, for being analyzed by presupposition analysis method the company data of targeted company in distributed storage module, obtains the overall assessment to the targeted company；So, the company for facilitating job hunter's selection suitable, company personnel's recruitment cost and staff's benefits cost are reduced simultaneously, evade recruitment risk, reach the doulbe-sides' victory of job hunter and company, improve social scientific and technological resources utilization rate, improve the service level of high-level personnel, modern advanced networks technology by way of traditional docking means are combined, realize distributing rationally for social scientific and technological resources.
Description
Technical field
The present invention relates to technical field of data processing, more particularly to a kind of company evaluation system and side based on big data
Method.
Background technology
In traditional credit financing field, risk assessment personnel generally require to carry out targeted company comprehensive information
Collection and corporate image investigation, so as to carry out objective comprehensive risk assessment, traditional risk assessment personnel to the targeted company
Investigation method generally by the artificial each item data for collecting targeted company, this method wastes time and energy, and not only efficiency is very low,
And not comprehensively, easily there is information omission.
On the other hand, for company, must all there be the appropriate talent in each stage of the management strategy of enterprise as branch
Support, but the epoch interconnected at this, the supply and demand of the talent are in imbalance state all the time.Traditional job hunter applies in selection
During company, often by the recruiter or online correspondence of evaluating of company company can only be engaged to have a little understanding, this mode is not
Only produce a polarization serious and not objective, job hunter can only carry out the selection of targeted company by experience, when real registration
Every demand of Shi Faxian companies can not be matched with itself, cause the wasting of resources.
The content of the invention
Based on background technology exist technical problem, the present invention propose a kind of company evaluation system based on big data and
Method；
A kind of company evaluation system based on big data proposed by the present invention, including：
Information acquisition module, the company data for gathering targeted company；
Data preparation module, carries out data preparation, the target after being arranged is public for the company data to targeted company
The company data of department；
Distributed storage module, the company data of the targeted company after being arranged for distributed storage；
Analysis evaluation module, for passing through company data of the presupposition analysis method to targeted company in distributed storage module
Analyzed, obtain the overall assessment to the targeted company.
Preferably, described information acquisition module, specifically for：The company data of the targeted company, including：Targeted company
Business scope, targeted company's turnover, targeted company's technical innovation level, targeted company's finished item, targeted company employee put down
One or more during equal wage, the current employee of the targeted company average length of service, targeted company's legal person's loyalty information, employee evaluate.
Preferably, the data preparation module, specifically for：
Data cleansing is carried out to the company data of targeted company, invalid data and repeated data is deleted；
The company data of targeted company after data cleansing is modified, the mistake that can recognize that in corrigendum company data,
The company data of targeted company after being arranged.
Preferably, the analysis evaluation module, specifically for：Pass through correlation fractal dimension, series pattern analysis method, classification point
At least one of analysis method and clustering methodology method are analyzed the company data of targeted company in distributed storage module,
Obtain the overall assessment to the targeted company.
Preferably, in addition to information display module, it is connected with analysis evaluation module, for showing that the totality of targeted company is commented
Valency.
A kind of company evaluation method based on big data, including：
S1, the company data for gathering targeted company；
S2, the company data to targeted company carry out data preparation, the company data of the targeted company after being arranged；
The company data of targeted company after S3, distributed storage arrangement；
S4, by presupposition analysis method the company data of targeted company in step S3 is analyzed, obtained to the mesh
The overall assessment of mark company.
Preferably, in step S1, the company data of the targeted company is specifically included：Targeted company's business scope, target
Company's turnover, targeted company's technical innovation level, targeted company's finished item, targeted company's employee's average salary, target are public
Take charge of one or more in the current employee average length of service, targeted company's legal person's loyalty information, employee's evaluation.
Preferably, step S2, is specifically included：
Data cleansing is carried out to the company data of targeted company, invalid data and repeated data is deleted；
The company data of targeted company after data cleansing is modified, can be known in the company data for correcting targeted company
Other mistake, the company data of the targeted company after being arranged.
Preferably, step S4, is specifically included：Pass through correlation fractal dimension, series pattern analysis method, classification analysis method and cluster
At least one of analytic approach method is analyzed the company data of targeted company in distributed storage module, is obtained to described
The overall assessment of targeted company.
Preferably, in addition to step S5, the overall assessment of targeted company is shown.
The company data of present invention collection targeted company, after being arranged to these company datas, by presupposition analysis side
Method is analyzed the company data of targeted company, provides an overall evaluation result more intuitively to targeted company, and
Each item data of targeted company and evaluation result are intuitively shown, one institute of targeted company of evaluation can be considerably reduced
The time needed, manpower can be greatlyd save, carry out risk assessment beneficial to risk assessment personnel, secondly, applicant is by browsing
These data and evaluation result, targetedly select to be adapted to the targeted company of oneself, it is to avoid cause the waste of resource, the opposing party
Face, for company, company can attract to meet the employee of company's self-demand, reduction employee's recruitment by itself corporate culture
Cost and staff's benefits cost, the competitiveness of increase company keep company's vigor, evade recruitment risk, reach job hunter and target
The doulbe-sides' victory of company, improves social scientific and technological resources utilization rate, improves the service level of high-level personnel, passes through modern first network access
The mode that network technology is combined with traditional docking means, realizes distributing rationally for social scientific and technological resources.
Brief description of the drawings
Fig. 1 is a kind of module diagram of the company evaluation system based on big data proposed by the present invention；
Fig. 2 is a kind of schematic flow sheet of the company evaluation method based on big data proposed by the present invention.
Embodiment
Reference picture 1, a kind of company evaluation system based on big data proposed by the present invention, including：
Information acquisition module, the company data for gathering targeted company；
In concrete scheme, the company data of the targeted company, including：Targeted company's business scope, battalion of targeted company
Industry volume, targeted company's technical innovation level, targeted company's finished item, targeted company's employee's average salary, targeted company are current
One or more during employee's average length of service, targeted company's legal person's loyalty information, employee evaluate；Mesh is gathered by web crawlers technology
The Various types of data of mark company, using company's full name, abbreviation, corporate juridical person, corporate manager as searched targets, builds targeted company
Company's large database concept.
Data preparation module, is connected with information acquisition module, and data preparation is carried out for the company data to targeted company,
The company data of targeted company after being arranged, specifically for：Data cleansing is carried out to the company data of targeted company, deleted
Invalid data and repeated data；The company data of targeted company after data cleansing is modified, can in corrigendum company data
The mistake of identification, the company data of the targeted company after being arranged.
In concrete scheme, whether there is null value or mess code character in the company data for checking targeted company, to null value or
Mess code character is deleted, the repeated data occurred in the company data of delete target company；Check company's number of targeted company
Whether occurs recognizable mistake in, recognizable mistake is corrected to these, ensures the validity of data.
Distributed storage module, is connected with data preparation module, the public affairs of the targeted company after being arranged for distributed storage
Data are taken charge of, distributed storage uses expansible structure, shares storage load using many storage servers, utilize location-based service
Device positions storage information, and it not only increases the reliability, availability and access efficiency of system, is also easy to extension.
Analysis evaluation module, is connected with distributed storage module, for by presupposition analysis method to distributed storage mould
The company data of Kuai Zhong targeted companies is analyzed, and obtains the overall assessment to the targeted company, specifically for：Pass through association
At least one of analytic approach, series pattern analysis method, classification analysis method and clustering methodology method is to distributed storage module
The company data of middle targeted company is analyzed, and obtains the overall assessment to the targeted company.
Information display module, is connected with analysis evaluation module, the overall assessment for showing targeted company.
In concrete scheme, the company data of targeted company is analyzed by presupposition analysis method, a ratio is provided
More intuitively to the overall evaluation result of targeted company, and various dimensions visualization method is used by each item data of company and evaluation
Showing for visual result, can considerably reduce the time evaluated required for a targeted company, can greatly save
Manpower, applicant selects to be adapted to the targeted company of oneself by browsing these data and evaluation result, targetedly, for public affairs
For department, company can attract to meet the employee of company's self-demand, reduction employee's recruitment cost and member by itself corporate culture
Work is managed, and the competition of increase company keeps company to make a profit, and evades recruitment risk, reaches the doulbe-sides' victory of job hunter and targeted company.
Reference picture 2, a kind of company evaluation method based on big data proposed by the present invention, including：
Step S1, gathers the company data of targeted company；
In this step, the company data of the targeted company is specifically included：Targeted company's business scope, battalion of targeted company
Industry volume, targeted company's technical innovation level, targeted company's finished item, targeted company's employee's average salary, targeted company are current
One or more during employee's average length of service, targeted company's legal person's loyalty information, employee evaluate.
In concrete scheme, by web crawlers technology gather targeted company Various types of data, with company's full name, abbreviation,
Corporate juridical person, corporate manager are searched targets, build company's large database concept of targeted company.
Step S2, data preparation, company's number of the targeted company after being arranged are carried out to the company data of targeted company
According to；
This step, is specifically included：Data cleansing is carried out to the company data of targeted company, invalid data and repeat number is deleted
According to；The company data of targeted company after data cleansing is modified, corrects what be can recognize that in the company data of targeted company
Mistake, the company data of the targeted company after being arranged.
In concrete scheme, whether there is null value or mess code character in the company data for checking targeted company, to null value or
Mess code character is deleted, the repeated data occurred in the company data of delete target company；Check company's number of targeted company
Whether occurs recognizable mistake in, recognizable mistake is corrected to these, ensures the validity of data.
Step S3, the company data of the targeted company after distributed storage arrangement.
Distributed storage uses expansible structure, shares storage load using many storage servers, is taken using position
Business device positioning storage information, it not only increases the reliability, availability and access efficiency of system, is also easy to extension.
Step S4, is analyzed the company data of targeted company in step S3 by presupposition analysis method, obtained to institute
State the overall assessment of targeted company.
This step is specifically included：By in correlation fractal dimension, series pattern analysis method, classification analysis method and clustering methodology
At least one method the company data of targeted company in distributed storage module is analyzed, obtain to the targeted company
Overall assessment.
Step S5, shows the overall assessment of targeted company.
In concrete scheme, the company data of targeted company is analyzed by presupposition analysis method, a ratio is provided
More intuitively to the overall evaluation result of targeted company, and various dimensions visualization method is used by each item data of company and evaluation
Showing for visual result, can considerably reduce the time evaluated required for a targeted company, can greatly save
Manpower, applicant selects to be adapted to the targeted company of oneself by browsing these data and evaluation result, targetedly, for public affairs
For department, company can attract to meet the employee of company's self-demand, reduction employee's recruitment cost and member by itself corporate culture
Work management cost, the competitiveness of increase company keeps company's vigor, evades recruitment risk, reaches pair of job hunter and targeted company
Win.
Present embodiment gathers the company data of targeted company, after being arranged to these company datas, passes through default point
Analysis method is analyzed the company data of targeted company, provides an overall evaluation knot more intuitively to targeted company
Really, and by each item data of targeted company and evaluation result intuitively show, can considerably reduce one target of evaluation
Time required for company, manpower can be greatlyd save, risk assessment is carried out beneficial to risk assessment personnel, secondly, applicant is led to
Cross and browse these data and evaluation result, targetedly select to be adapted to the targeted company of oneself, it is to avoid cause the waste of resource,
On the other hand, for company, company can attract to meet the employee of company's self-demand, reduction person by itself corporate culture
Work recruitment cost and staff's benefits cost, the competitiveness of increase company keep company's vigor, evade recruitment risk, reach job hunter
With the doulbe-sides' victory of targeted company, improve social scientific and technological resources utilization rate, improve the service level of high-level personnel, pass through the modern times
The mode that advanced networks technology is combined with traditional docking means, realizes distributing rationally for social scientific and technological resources.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art the invention discloses technical scope in, technique according to the invention scheme and its
Inventive concept is subject to equivalent substitution or change, should all be included within the scope of the present invention.
Claims (10)
1. a kind of company evaluation system based on big data, it is characterised in that including：
Information acquisition module, the company data for gathering targeted company；
Data preparation module, data preparation is carried out for the company data to targeted company, the targeted company after being arranged
Company data；
Distributed storage module, the company data of the targeted company after being arranged for distributed storage；
Analysis evaluation module, for being carried out by presupposition analysis method to the company data of targeted company in distributed storage module
Analysis, obtains the overall assessment to the targeted company.
2. the company evaluation system according to claim 1 based on big data, it is characterised in that described information gathers mould
Block, specifically for：The company data of the targeted company, including：Targeted company's business scope, targeted company's turnover, target
Company technique innovation level, targeted company's finished item, targeted company's employee's average salary, the average work of the current employee of targeted company
One or more during age, targeted company's legal person's loyalty information, employee evaluate.
3. the company evaluation system according to claim 1 based on big data, it is characterised in that the data preparation mould
Block, specifically for：
Data cleansing is carried out to the company data of targeted company, invalid data and repeated data is deleted；
The company data of targeted company after data cleansing is modified, the mistake that can recognize that in corrigendum company data is obtained
The company data of targeted company after arrangement.
4. the company evaluation system according to claim 1 based on big data, it is characterised in that the assay mould
Block, specifically for：Pass through at least one of correlation fractal dimension, series pattern analysis method, classification analysis method and clustering methodology
Method is analyzed the company data of targeted company in distributed storage module, obtains commenting the totality of the targeted company
Valency.
5. the company evaluation system according to claim 1 based on big data, it is characterised in that also show mould including information
Block, is connected with analysis evaluation module, the overall assessment for showing targeted company.
6. a kind of company evaluation method based on big data, it is characterised in that including：
S1, the company data for gathering targeted company；
S2, the company data to targeted company carry out data preparation, the company data of the targeted company after being arranged；
The company data of targeted company after S3, distributed storage arrangement；
S4, by presupposition analysis method the company data of targeted company in step S3 is analyzed, obtain public to the target
The overall assessment of department.
7. the company evaluation method according to claim 6 based on big data, it is characterised in that in step S1, the mesh
The company data of mark company, is specifically included：Targeted company's business scope, targeted company's turnover, targeted company's technological innovation water
Flat, targeted company's finished item, targeted company's employee's average salary, the current employee of the targeted company average length of service, targeted company's method
One or more during people's loyalty information, employee evaluate.
8. the company evaluation method according to claim 6 based on big data, it is characterised in that step S2, is specifically included：
Data cleansing is carried out to the company data of targeted company, invalid data and repeated data is deleted；
The company data of targeted company after data cleansing is modified, corrects what be can recognize that in the company data of targeted company
Mistake, the company data of the targeted company after being arranged.
9. the company evaluation method according to claim 6 based on big data, it is characterised in that step S4, is specifically included：
By at least one of correlation fractal dimension, series pattern analysis method, classification analysis method and clustering methodology method to distribution
The company data of targeted company is analyzed in memory module, obtains the overall assessment to the targeted company.
10. the company evaluation method according to claim 6 based on big data, it is characterised in that also including step S5, exhibition
Show the overall assessment of targeted company.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110188024A (en) * | 2019-05-30 | 2019-08-30 | 普元信息技术股份有限公司 | The system and method for data managing capacity assessment are realized under big data environment |
| 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 |
| CN113487183A (en) * | 2021-07-07 | 2021-10-08 | 苏州达家迎信息技术有限公司 | Method, device and storage medium for determining service resources in vertical service scene |
| CN116523484A (en) * | 2023-06-29 | 2023-08-01 | 众科云(北京)科技有限公司 | Method and system for optimizing and collecting work platform data |
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| CN104809188A (en) * | 2015-04-20 | 2015-07-29 | 广东工业大学 | Enterprise talent drainage data mining analysis method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110188024A (en) * | 2019-05-30 | 2019-08-30 | 普元信息技术股份有限公司 | The system and method for data managing capacity assessment are realized under big data environment |
| 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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Application publication date: 20171107 |