CN109345089A - Enterprise development state evaluating method and system based on big data - Google Patents
Enterprise development state evaluating method and system based on big data Download PDFInfo
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Abstract
The present invention provides the enterprise development state evaluating method and system of a kind of big data, this method comprises: having obtained the data information of the enterprise of more wheel financings, forms sample data；Assessment models are established according to sample data；It is optimized using assessment models of the non-sample data to foundation, adjusts the importance value of each parameter in assessment models；It obtains enterprise to be assessed and obtains information；Assessment models after the information input of enterprise to be assessed is optimized obtain the enterprise to be assessed locating at present developing stage and the development trend in future.
Description
Technical field
The present invention relates to enterprise's big data fields, and in particular to a kind of enterprise development status assessment side based on big data
Method and system.
Background technique
In the development process of enterprise, judge that his growth, growth stage have various factor endowments, such as
Capital strength, intellectual property, staff size structure, industry development trend etc., however the leading finger as industry development trend
The smell of mark, investment institution is undoubtedly the most sensitively, and either capital market is still red at this stage by the outstanding person pursued
Blue unicorn enterprise, substantially each enterprise you can find the shadow of investment institution.Therefore, for an enterprise
Can (especially pioneering enterprise) continue to obtain the favor of investment institution, be the weight that enterprise ranks among " high-quality ", " growth " ranks
Want index.
Under existing frame, judges the growth and its favor that can continue to obtain capital of enterprise, rely primarily on
The micro-judgment of practitioner, practitioner are aided with personal from already by modes such as material collection, responsible investigations to enterprise
Test judgement, it was therefore concluded that.This mode material collection is time-consuming and laborious, especially under big data background, what data artificially collected
Timeliness is difficult to ensure and the judgement dimension of data is more, and artificial treatment data accuracy leaves a question open.Further, the industry of practitioner
Limited experience, the way cost for covering all trades and professions by manual type are high.
Summary of the invention
The present invention for overcome the deficiencies in the prior art, provides a kind of enterprise development state evaluating method based on big data
And system.
To achieve the goals above, the present invention provides a kind of enterprise development state evaluating method of big data, this method packet
It includes:
The data information for having obtained the enterprise of more wheel financings, forms sample data；
Assessment models are established according to sample data；
It is optimized using assessment models of the non-sample data to foundation, adjusts the important journey of each parameter in assessment models
Angle value；
It obtains enterprise to be assessed and obtains information；
Assessment models after the information input of enterprise to be assessed is optimized obtain the enterprise to be assessed development locating at present
The development trend in stage and future.
An embodiment according to the present invention, when being optimized using non-sample data to the assessment models of foundation by non-sample
Notebook data is classified according to the growth model of enterprise, according to sorted non-sample data to the important of parameter each in model
Degree value optimizes.
An embodiment according to the present invention, the step of establishing assessment models include:
The structuring comprising multiple dimensions is established according to the sample data of acquisition to draw a portrait；
By the data of multiple dimensions in machine learning structuring portrait, the similarity of such enterprise is obtained, extracts and looks forward to
The associated multiple parameters of industry future development and the importance value for obtaining each parameter, establish assessment models.
An embodiment according to the present invention has: industry according to the dimension for including in the structuring portrait of sample data foundation
Essential information, the investment and financing information of all previous obtaining means, the intellectual property information of enterprise, team of enterprise that classification, enterprise set up
The outside news information of information about firms, enterprises recruitment information and enterprise.
An embodiment according to the present invention, extracting multiple parameters associated with Future Development of Enterprise includes: amount paid in registration
The third-party investment of capital, dereferenced, main business growth rate, profit growth rate, Innovation Input, is known main business income
Know property right declare, affiliate's qualification, rewarding fund of the government, the talent influence.
An embodiment according to the present invention, assessment models obtain the weight for characterizing each parameter by the way of score value calculating
The score value of degree value is wanted, assessment models obtain whole point value of evaluation, the higher characterization future development of score value by following formula
Trend it is better, enterprise obtain investment probability will be bigger；
Wherein, score is enterprise development status assessment score value, scoreiIt is i-th associated with Future Development of Enterprise
The score value of parameter, N indicate that learning structure is drawn a portrait the number of parameter obtained.
An embodiment according to the present invention uses this parameter of amount paid in registered capital using 10,000,000 as mark post value
Following formula calculates its score value:
Wherein, Score1Score value is calculated for amount paid in registered capital, assets is the amount of money of capital subscribed.
On the other hand, the present invention also provides a kind of enterprise development status assessing system based on big data, the system include
Sample data obtains module, model building module, optimization module, data obtaining module to be assessed and evaluation module.Sample number
The data information for having obtained the enterprise of more wheel financings according to module is obtained, forms sample data.Model building module is according to sample
Notebook data establishes assessment models.Optimization module optimizes the assessment models of foundation using non-sample data, adjustment assessment mould
The importance value of each parameter in type.Data obtaining module to be assessed obtains enterprise to be assessed and obtains information.Evaluation module will be to
Assessment models after assessing the information input optimization of enterprise obtain the enterprise to be assessed locating at present developing stage and future
Development trend.
An embodiment according to the present invention, model building module include that structuring portrait establishes module and learning model building module.
Structuring portrait establishes module and establishes the structuring portrait comprising multiple dimensions according to the sample data of acquisition.Learning model building module
By the data of multiple dimensions in machine learning structuring portrait, the similarity of such enterprise is obtained, extracts and will be sent out with enterprise's future
It opens up associated multiple parameters and obtains the importance value of each parameter, establish assessment models.
In conclusion the enterprise development state evaluating method and system provided by the invention based on big data is by obtaining
The data informations of the enterprises of more wheel financings are obtained to establish assessment models, and by a large amount of non-sample data to assessment models into
Row optimization, improves the evaluation accuracy rate of assessment models.After establishing assessment models, user need to only input the enterprise for needing to assess
Information, assessment models can automatically obtain the trend in the enterprise to be assessed stage and its future development locating at present, to throw
Money mechanism and enterprise administrator understand enterprise preferably, more objectively and more fully hereinafter, throw for investment institution's selection
It provides enterprise and reference data is provided, while the enterprise development plan for also formulating next step for the administrative staff of enterprise provides data base
Plinth.
It draws a portrait in addition, the sample data obtained when establishing model establishes the structuring comprising multiple dimensions, various dimensions
Information preferably can more fully evaluate the development of enterprise, which substantially increases the accuracy of assessment models.
For above and other objects of the present invention, feature and advantage can be clearer and more comprehensible, preferred embodiment is cited below particularly,
And cooperate attached drawing, it is described in detail below.
Detailed description of the invention
Fig. 1 show the process of the enterprise development state evaluating method based on big data of one embodiment of the invention offer
Figure.
Fig. 2 show the flow chart of step S20 in Fig. 1.
The structure that Fig. 3 show the enterprise development status assessing system based on big data of one embodiment of the invention offer is shown
It is intended to.
Specific embodiment
As shown in Figure 1, the enterprise development state evaluating method provided in this embodiment based on big data includes: to have obtained
The data information of the enterprise of financing is much taken turns, is formed sample data (step S10).Assessment models (step is established according to sample data
Rapid S20).It is optimized using assessment models of the non-sample data to foundation, adjusts the important journey of each parameter in assessment models
Angle value (step S30).It obtains enterprise to be assessed and obtains information (step S40).Commenting after the information input of enterprise to be assessed is optimized
Estimate model, obtains the enterprise to be assessed locating at present developing stage and the development trend (step S50) in future.
Enterprise development state evaluating method provided in this embodiment based on big data starts from step S10, has obtained
The data information of the enterprise of more wheel financings, forms sample data.The data information of enterprise can pass through " national credit information of enterprise
The Enterprise Information Platforms such as publicity system " or " enterprise sees " have obtained the data information of the enterprise of more wheel financings, form data
Sample.However, the present invention is not limited in any way the acquisition modes of sample data.With the continuous variation of market economy and new
The continuous rise of type industry, for the accuracy for improving data sample, in this present embodiment, data sample obtains module real time correlation
Above-mentioned Enterprise Information Platform, obtain automatically newest enterprise obtain Investment Trust breath and according to the information update data sample, and then constantly
Optimized evaluation model to match newest data information, to greatly improve enterprise development status assessment provided in this embodiment
Method accuracy and timeliness.
After obtaining a large amount of data sample, step S20 is executed, assessment models are established according to data sample.
Specifically, including: step S21, being established and wrapped according to the sample data of acquisition as shown in Fig. 2, establishing assessment models
Structuring portrait containing multiple dimensions.Structuring portrait in include dimension have: trade classification, enterprise set up essential information,
The investment and financing information of all previous obtaining means, the intellectual property information of enterprise, Team Member of enterprise information, enterprises recruitment information and
The information of multiple dimensions such as the outside news information of enterprise.However, the present invention does not appoint the number of dimension and specific dimension
What is limited.Step S22 is executed later, the data of interior multiple dimensions of drawing a portrait by machine learning structuring, obtain such enterprise
Similarity extracts multiple parameters associated with Future Development of Enterprise and obtains the importance value of each parameter, establishes assessment
Model.In this present embodiment, the parameter of extraction include amount paid in registered capital, the third-party investment of dereferenced, main business income,
Eight parameters such as main business growth rate, profit growth rate, Innovation Input, intellectual property are declared and the talent influences.However,
The present invention is not limited in any way this.In other embodiments, the parameter of extraction may also include affiliate's qualification etc., government's prize
The information such as encourage.
After obtaining assessment models, step S30 is executed, is optimized using assessment models of the non-sample data to foundation,
Adjust the importance value of each parameter in assessment models.Specifically, in the assessment models using non-sample data to foundation
Non-sample data are classified according to the growth model of enterprise when optimizing, according to sorted non-sample data to model
In the importance value of each parameter optimize.For example, when inputting non-sample data according to amount paid in registered capital, dereferenced
Enterprise is divided into establishment type by the information such as third-party investment, main business income, main business growth rate, profit growth rate
Enterprise, pullulating enterprise, stable type enterprise and involution form enterprise.Again to assessment models after the classification that enterprise is refined
Optimize the accuracy for being greatly improved assessment models.In this present embodiment, the acquisition and classification of non-sample data equally may be used
Corresponding judgment rule is formed using machine learning, when exporting the information of an enterprise, system can the automatic interpretation enterprise
The locating stage.
In this present embodiment, assessment models obtain the importance value for characterizing each parameter by the way of score value calculating
Score value, assessment models obtain whole point value of evaluation by formula (1), the trend of the higher characterization Future Development of Enterprise of score value
Better, the probability that enterprise obtains investment will be bigger.However, the present invention does not make any limit to the specific calculation of assessment models
It is fixed.
Wherein, score is enterprise development status assessment score value, scoreiIt is i-th associated with Future Development of Enterprise
The score value of parameter, N indicate that learning structure is drawn a portrait the number of parameter obtained.
In this present embodiment, parameter associated with Future Development of Enterprise has eight, respectively amount paid in registered capital, non-
It is associated with third-party investment, main business income, main business growth rate, profit growth rate, Innovation Input, intellectual property Shen
It responds with and the talent influences.This eight because score value following calculation formula be respectively adopted calculated.
First, for amount paid in registered capital, evaluated using 10,000,000 as mark post value, judgement schematics are as follows:
Score1Indicating the score value of the 1st parameter amount paid in registered capital associated with Future Development of Enterprise, assets is
The amount of money of amount paid in registered capital.
Second, the influence for dereferenced third party investment, we carry out evaluation analysis, tool using 5,000,000 as mark post value
Body evaluation method is as follows:
Wherein, Score2Indicate the score value of the 2nd parameter dereferenced third party investment associated with Future Development of Enterprise,
UnrelativeThree is the amount of money of dereferenced third party investment.
Third, the influence of main business income distinguish manufacturing industry and nonmanufacturing industry, with nonmanufacturing industry 40,000,000, manufacturing industry
80000000 as the progress evaluation analysis of mark post value, and specific evaluation method is as follows:
1. for nonmanufacturing industry
2. for manufacturing industry
Wherein, Score3Indicate the score value of the 3rd parameter main business income associated with Future Development of Enterprise,
Income is the amount of money of main business income.
4th, the influence of main business growth rate carries out evaluation analysis, specific evaluation method using 20% as mark post value
It is as follows:
Wherein, Score4Indicate the score value of the 4th parameter main business growth rate associated with Future Development of Enterprise,
Incomeincrese is actual main business growth rate.
5th, the influence of profit growth rate carries out evaluation analysis using 20% as mark post value, and specific evaluation method is as follows:
Wherein, Score5Indicate the score value of the 5th parameter profit growth rate associated with Future Development of Enterprise,
Profitincrese is actual profit growth rate.
6th, the influence of Innovation Input, the ratio 5% for accounting for operating income using R & D Cost (is put down for nearly 3 years as mark post value
Mean) evaluation analysis is carried out, specific evaluation method is as follows:
Nearly 3 years Innovation Inputs
Wherein, Score6Indicate the score value of the 6th parameter Innovation Input associated with Future Development of Enterprise, PDRradio
The ratio of operating income is accounted for for actual R & D Cost.
7th, the influence of intellectual property, using patent of invention, software copyright, utility model quantity as measurement index
Evaluation analysis is carried out, specific evaluation method is as follows:
Wherein, Score7The score value for indicating the 7th intellectual property associated with Future Development of Enterprise, by counting enterprise
The quantity of current patent of invention, utility model patent and appearance patent obtains the research and development ability of current enterprise.Usually certainly
Its research and development ability of the more enterprise of main intellectual property is also stronger.
8th, the influence of the talent carries out evaluation point using national, provincial level, city-level, the district grade talent as measurement index
Analysis, specific evaluation method are as follows:
Wherein, Score8Indicate the score value of the 8th parameter talent associated with Future Development of Enterprise, talent is the talent
Academic title.
After assessment models after being optimized by above-mentioned formula, executes acquisition enterprise to be assessed and obtain information (step S40)
And by the assessment models after the optimization of the information input of enterprise to be assessed, obtain the enterprise to be assessed developing stage locating at present with
And following development trend (step S50).It is calculated by assessment models and obtains the enterprise to be assessed in point of above-mentioned eight parameters
It is worth (Score1To Score8) after, it obtains characterizing enterprise developing stage locating at present after carrying out sum-average arithmetic by formula (1)
And the score value of following development trend, the development situation of the higher surface of the score value enterprise at present is better and its probability for obtaining throwing
To be bigger.
It is corresponding with above-mentioned appraisal procedure, the present invention also provides a kind of enterprise development status assessment system based on big data
System, the system include that the system includes that sample data obtains module 10, model building module 20, optimization module 30, letter to be assessed
Breath obtains module 40 and evaluation module 50.Sample data obtains the data letter that module 10 has obtained the enterprise of more wheel financings
Breath forms sample data.Model building module 20 establishes assessment models according to sample data.Optimization module 30 uses non-sample number
It is optimized according to the assessment models of foundation, adjusts the importance value of each parameter in assessment models.Acquisition of information to be assessed
Module 40 obtains enterprise to be assessed and obtains information.Evaluation module 50 information input of enterprise to be assessed is optimized after assessment models,
Obtain the enterprise to be assessed locating at present developing stage and the development trend in future.
In this present embodiment, sample data obtains the enterprise development based on big data that module 10 provides through this embodiment
Method provided by step S10 obtains data sample in state evaluating method.However, the present invention is not limited in any way this.
After getting data sample, model building module 20 is modeled according to data sample.Specifically, model building module 20
Module 21 and learning model building module 22 are established including structuring portrait.Structuring portrait establishes module 21 according to the sample number of acquisition
It draws a portrait according to the structuring comprising multiple dimensions is established.Learning model building module 22 passes through multiple dimensions in machine learning structuring portrait
Data, obtain the similarity of such enterprise, extract multiple parameters associated with Future Development of Enterprise and simultaneously obtain each parameter
Importance value, establish assessment models.In this present embodiment, the assessment models that model building module 20 is established use score value meter
The mode of calculation obtains the score value of the importance value for characterizing each parameter, and specific formula is as shown in appraisal procedure.
After establishing model, optimization module 30 optimizes assessment models by inputting non-sample data, is commented with improving
Estimate the accuracy of model.Finally, data obtaining module 40 to be assessed obtains the company information to be assessed of input, evaluation module 50
Company information is substituted into the assessment models having built up, is obtained and is characterized the enterprise development trend and obtain the score value for throwing probability, it is real
Objective, the accurate assessment of existing enterprise development state.
In conclusion the enterprise provided by the invention based on big data obtain throw potential evaluation method by obtained it is more
The data information of the enterprise of financing is taken turns to establish assessment models, and excellent to assessment models progress by a large amount of non-sample data
Change, improves the evaluation accuracy rate of assessment models.After establishing assessment models, user need to only input the letter for needing the enterprise assessed
Breath, assessment models can automatically obtain the trend in the enterprise to be assessed stage and its future development locating at present, to invest
Mechanism and enterprise administrator understand enterprise preferably, more objectively and more fully hereinafter, for investment institution's selection investment
Enterprise provides reference data, while the enterprise development plan for also formulating next step for the administrative staff of enterprise provides data basis.
It draws a portrait in addition, the sample data obtained when establishing model establishes the structuring comprising multiple dimensions, various dimensions
Information preferably can more fully evaluate the development of enterprise, which substantially increases the accuracy of assessment models.
Although the present invention is disclosed above by preferred embodiment, however, it is not intended to limit the invention, this any known skill
Skill person can make some changes and embellishment without departing from the spirit and scope of the present invention, therefore protection scope of the present invention is worked as
Subject to claims range claimed.
Claims (9)
1. a kind of enterprise development state evaluating method based on big data characterized by comprising
The data information for having obtained the enterprise of more wheel financings, forms sample data；
Assessment models are established according to sample data；
It is optimized using assessment models of the non-sample data to foundation, adjusts the significance level of each parameter in assessment models
Value；
It obtains enterprise to be assessed and obtains information；
Assessment models after the information input of enterprise to be assessed is optimized obtain the enterprise to be assessed developing stage locating at present
And following development trend.
2. the enterprise development state evaluating method according to claim 1 based on big data, which is characterized in that using non-
Non-sample data are classified according to the growth model of enterprise when sample data optimizes the assessment models of foundation, according to
Sorted non-sample data optimize the importance value of parameter each in model.
3. the enterprise development state evaluating method according to claim 1 based on big data, which is characterized in that establish assessment
The step of model includes:
The structuring comprising multiple dimensions is established according to the sample data of acquisition to draw a portrait；
By the data of multiple dimensions in machine learning structuring portrait, the similarity of such enterprise is obtained, is extracted with enterprise not
Develop associated multiple parameters and obtain the importance value of each parameter, establishes assessment models.
4. the enterprise development state evaluating method according to claim 3 based on big data, which is characterized in that according to sample
The dimension for including in the structuring portrait that data are established has: essential information, all previous obtaining means that trade classification, enterprise set up
Investment and financing information, the intellectual property information of enterprise, Team Member of enterprise information, enterprises recruitment information and the outside news of enterprise
Information.
5. the enterprise development state evaluating method according to claim 3 based on big data, which is characterized in that extract and look forward to
The associated multiple parameters of industry future development include: amount paid in registered capital, the third-party investment of dereferenced, main business income,
Main business growth rate, profit growth rate, Innovation Input, intellectual property declare, affiliate's qualification, rewarding fund of the government, the talent
It influences.
6. the enterprise development state evaluating method according to claim 1 based on big data, which is characterized in that assessment models
Obtain the score value of the importance value for characterizing each parameter by the way of score value calculating, assessment models by following formula come
Whole point value of evaluation is obtained, the trend of the higher characterization Future Development of Enterprise of score value is better, and the probability that enterprise obtains investment will more
Greatly；
Wherein, score is enterprise development status assessment score value, scoreiFor i-th of parameter associated with Future Development of Enterprise
Score value, N indicate that learning structure is drawn a portrait the number of parameter obtained.
7. the enterprise development state evaluating method according to claim 5 based on big data, which is characterized in that for amount paid in
This parameter of registered capital calculates its score value using following formula using 10,000,000 as mark post value:
Wherein, Score1Score value is calculated for amount paid in registered capital, assets is the amount of money of capital subscribed.
8. a kind of enterprise development status assessing system based on big data characterized by comprising
Sample data obtains module, has obtained the data information of the enterprise of more wheel financings, has formed sample data；
Model building module establishes assessment models according to sample data；
Optimization module is optimized using assessment models of the non-sample data to foundation, adjusts each parameter in assessment models
Importance value；
Data obtaining module to be assessed obtains enterprise to be assessed and obtains information；
Evaluation module, the assessment models after the information input of enterprise to be assessed is optimized, it is locating at present to obtain the enterprise to be assessed
Developing stage and future development trend.
9. the enterprise development status assessing system according to claim 8 based on big data, which is characterized in that model foundation
Module includes:
Structuring portrait establishes module, establishes the structuring comprising multiple dimensions according to the sample data of acquisition and draws a portrait；
Learning model building module obtains the similarity of such enterprise by the data of multiple dimensions in machine learning structuring portrait,
It extracts multiple parameters associated with Future Development of Enterprise and obtains the importance value of each parameter, establish assessment models.
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| CN112182246B (en) * | 2020-09-28 | 2022-01-11 | 上海市浦东新区行政服务中心(上海市浦东新区市民中心) | Method, system, medium, and application for creating an enterprise representation through big data analysis |
| CN112381411A (en) * | 2020-11-16 | 2021-02-19 | 国网上海市电力公司 | Group production vitality evaluation method, electronic equipment and storage medium |
| CN112381411B (en) * | 2020-11-16 | 2024-01-26 | 国网上海市电力公司 | Method for evaluating population production activity, electronic equipment and storage medium |
| CN112529413A (en) * | 2020-12-11 | 2021-03-19 | 深圳传世智慧科技有限公司 | Enterprise management entropy evaluation system and method |
| CN113034041A (en) * | 2021-04-16 | 2021-06-25 | 合肥新青罗数字技术有限公司 | Method and system for mining potential growth enterprises, cultivating and intelligently rewarding potential growth enterprises |
| CN113112162A (en) * | 2021-04-16 | 2021-07-13 | 合肥新青罗数字技术有限公司 | Method and system for mining and cultivating potential high-tech enterprises |
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