CN105574666A - Method and device for evaluating credit level of enterprise based on key data modeling - Google Patents
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Abstract
The invention provides a method and a device for evaluating the credit level of an enterprise based on key data modeling. The method comprises the steps of presetting a key data index and corresponding weight, an evaluation cycle, and the correspondence between a scoring stage and the credit level, and setting a credit level evaluation formula according to the key data index and corresponding weight; and periodically running an engine corresponding to the credit level evaluation formula according to the preset evaluation cycle, obtaining the credit score of each enterprise according to the score, corresponding to the key data index, of each enterprise obtained periodically, contrastively analyzing the credit score and the correspondence of the scoring stage and the credit level, and finally obtaining the credit level of each enterprise. Therefore, according to the method, the automatic and intelligent evaluation of the credit levels of the enterprises can be achieved, and thereby the work efficiency of level evaluation is improved.
Description
Technical field
The present invention relates to business standing assessment technology field, particularly a kind of method of the evaluation credit rating of enterprise based on critical data modeling and device.
Background technology
Along with developing rapidly of China's economic society, the quantity of the large, medium and small type enterprise of every profession and trade rapidly increases, and law enforcement agency at different levels is to also more and more higher by the enforcement request of supervision enterprise.
Current law enforcement agency at different levels, to the supervision of enterprise in respective compass of competency, mainly relies on mode that is artificial and electronics supervision concurrent management to perform.For the key factor affecting credit rating of enterprise evaluation, the appraisal result of these key influence factors of electronic system automatic acquisition, again by the appraisal result of professional staff according to each enterprise, the credit level of each enterprise is given a mark, finally to determine the credit grade of each enterprise.
Due to generally more by the quantity of supervision enterprise, especially, when the various and complicated operation of task of supervision content, the evaluation mode that artificial and electronics supervises concurrent management can affect to the work efficiency that law enforcement agency carries out credit rating of enterprise evaluation unavoidably.
Summary of the invention
The invention provides a kind of method and device of the evaluation credit rating of enterprise based on critical data modeling, the automated intelligent evaluation of credit rating of enterprise can be realized, thus the work efficiency of evaluation of upgrading.
In order to achieve the above object, the present invention is achieved through the following technical solutions:
On the one hand, the invention provides a kind of method of the evaluation credit rating of enterprise based on critical data modeling, pre-set the corresponding relation of critical data index, weight corresponding to described critical data index, evaluation cycle, scoring stage and credit grade; According to the weight corresponding to described critical data index and described critical data index, credit rating formula is set, also comprises:
S1: according to the described evaluation cycle, regularly obtain each enterprise corresponding with described critical data index first marks;
S2: according to the described evaluation cycle, periodic operation and the engine corresponding to described credit rating formula, and according to described first scoring got, obtain each enterprise corresponding with described credit rating formula second marks;
S3: the corresponding relation and described second according to described scoring stage and credit grade is marked, and obtains the credit grade rank of each enterprise.
Further,
Before S1, comprise further: the evaluation formula pre-setting credit rating of enterprise assessment rules, described critical data index;
Described S1, comprising:
According to described credit rating of enterprise assessment rules, the scoring event corresponding with described critical data index of each enterprise of real time record;
According to described scoring event, and according to the described evaluation cycle, regularly obtain each enterprise corresponding with the evaluation formula of described critical data index first marks.
Further, in the described evaluation cycle, comprising: any one monthly, in per season and other artificial definition time cycles.
Further, the weight corresponding to described critical data index, comprising: the summation of the weight corresponding to each critical data index is 1.
Further, described critical data index is set, comprises: from the database storing various data target, choose multiple critical data index.
On the other hand, the invention provides a kind of device of the evaluation credit rating of enterprise based on critical data modeling, comprising:
First setting unit, for arranging the corresponding relation of weight corresponding to critical data index, described critical data index, evaluation cycle, scoring stage and credit grade; According to the weight corresponding to described critical data index and described critical data index, credit rating formula is set, and the information in described critical data index and described evaluation cycle is exported to the first acquiring unit, export the information of described evaluation cycle and described credit rating formula to processing unit, export the information of the corresponding relation of described scoring stage and credit grade to second acquisition unit;
Described first acquiring unit, for receiving the described critical data index and the information in described evaluation cycle that are exported by described first setting unit, according to the described evaluation cycle, corresponding with described critical data index first of each enterprise of regular acquisition marks, and exports the information of described first scoring to described processing unit;
Described processing unit, for receiving the information of described evaluation cycle and the described credit rating formula exported by described first setting unit, receive the information of described first scoring exported by described first acquiring unit, according to the described evaluation cycle, periodic operation and the engine corresponding to described credit rating formula, and according to described first scoring got, obtain each enterprise corresponding with described credit rating formula second marks, and exports the information of described second scoring to described second acquisition unit;
Described second acquisition unit, for receiving the information of the corresponding relation of described scoring stage and the credit grade exported by described first setting unit, receive the information of described second scoring exported by described processing unit, corresponding relation and described second according to described scoring stage and credit grade is marked, and obtains the credit grade rank of each enterprise.
Further, this device also comprises:
Second setting unit, for arranging the evaluation formula of credit rating of enterprise assessment rules, described critical data index;
Described first acquiring unit, comprising:
Record subelement, for according to described credit rating of enterprise assessment rules, the scoring event corresponding with described critical data index of each enterprise of real time record;
Obtain subelement, for according to described scoring event, and according to the described evaluation cycle, regularly obtain each enterprise corresponding with the evaluation formula of described critical data index first marks.
Further, described first setting unit is any one monthly, in per season and other artificial definition time cycles specifically for arranging the described evaluation cycle.
Further, described first setting unit, specifically for arranging the weight corresponding to described critical data index, and the summation of weight corresponding to each critical data index is 1.
Further, described first setting unit, specifically for choosing multiple critical data index from the database storing various data target.
The invention provides a kind of method and device of the evaluation credit rating of enterprise based on critical data modeling, pre-set the corresponding relation of critical data index and corresponding weight, evaluation cycle, scoring stage and credit grade, and according to described critical data index and corresponding weight to arrange credit rating formula; According to the evaluation cycle preset, periodic operation and the engine corresponding to described credit rating formula, and according to the scoring corresponding with described critical data index of each enterprise regularly got, obtain the credit scoring of each enterprise, again the corresponding relation of this credit scoring and described scoring stage and credit grade is analyzed, the credit grade rank of each enterprise of final acquisition, therefore, the present invention can realize the automated intelligent evaluation of credit rating of enterprise, thus the work efficiency of evaluation of upgrading.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the process flow diagram of the method for a kind of evaluation credit rating of enterprise based on critical data modeling that one embodiment of the invention provides;
Fig. 2 is the process flow diagram of the another kind that provides of one embodiment of the invention based on the method for the evaluation credit rating of enterprise of critical data modeling;
Fig. 3 is the schematic diagram of the device of a kind of evaluation credit rating of enterprise based on critical data modeling that one embodiment of the invention provides;
Fig. 4 is the schematic diagram of the another kind that provides of one embodiment of the invention based on the device of the evaluation credit rating of enterprise of critical data modeling.
Embodiment
For making the object of the embodiment of the present invention, technical scheme and advantage clearly; below in conjunction with the accompanying drawing in the embodiment of the present invention; technical scheme in the embodiment of the present invention is clearly and completely described; obviously; described embodiment is the present invention's part embodiment, instead of whole embodiments, based on the embodiment in the present invention; the every other embodiment that those of ordinary skill in the art obtain under the prerequisite not making creative work, all belongs to the scope of protection of the invention.
As shown in Figure 1, embodiments provide a kind of method of the evaluation credit rating of enterprise based on critical data modeling, can comprise the following steps:
Step 101: the corresponding relation pre-setting critical data index, weight corresponding to described critical data index, evaluation cycle, scoring stage and credit grade; According to the weight corresponding to described critical data index and described critical data index, credit rating formula is set.
Step 102: according to the described evaluation cycle, regularly obtain each enterprise corresponding with described critical data index first marks.
Step 103: according to the described evaluation cycle, periodic operation and the engine corresponding to described credit rating formula, and according to described first scoring got, obtain each enterprise corresponding with described credit rating formula second marks.
Step 104: the corresponding relation and described second according to described scoring stage and credit grade is marked, and obtains the credit grade rank of each enterprise.
Embodiments provide a kind of method of the evaluation credit rating of enterprise based on critical data modeling, pre-set the corresponding relation of critical data index and corresponding weight, evaluation cycle, scoring stage and credit grade, and according to described critical data index and corresponding weight to arrange credit rating formula; According to the evaluation cycle preset, periodic operation and the engine corresponding to described credit rating formula, and according to the scoring corresponding with described critical data index of each enterprise regularly got, obtain the credit scoring of each enterprise, again the corresponding relation of this credit scoring and described scoring stage and credit grade is analyzed, the credit grade rank of each enterprise of final acquisition, therefore, the embodiment of the present invention can realize the automated intelligent evaluation of credit rating of enterprise, thus the work efficiency of evaluation of upgrading.
In a kind of possible implementation, in order to regularly can obtain each enterprise corresponding with described critical data index first marks, need the RealTime scores situation corresponding with described critical data index obtaining each enterprise, so,
Before step 102, comprise further: the evaluation formula pre-setting credit rating of enterprise assessment rules, described critical data index;
Described step 102, comprising:
According to described credit rating of enterprise assessment rules, the scoring event corresponding with described critical data index of each enterprise of real time record;
According to described scoring event, and according to the described evaluation cycle, regularly obtain each enterprise corresponding with the evaluation formula of described critical data index first marks.
In a kind of possible implementation, in order to expand this method usable range based on the evaluation credit rating of enterprise of critical data modeling, so, in the described evaluation cycle, comprising:
Monthly, any one in per season and other artificial definition time cycles.
In a kind of possible implementation, in order to make this method based on the evaluation credit rating of enterprise of critical data modeling standardize, so the weight corresponding to described critical data index, comprising:
The summation of the weight corresponding to each critical data index is 1.
In a kind of possible implementation, in order to make different user can adjust described critical data index flexibly according to self actual demand, so, described critical data index is set, comprises:
Multiple critical data index is chosen from the database storing various data target.
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with drawings and the specific embodiments, the present invention is described in further detail.
As shown in Figure 2, embodiments provide the another kind of method based on the evaluation credit rating of enterprise of critical data modeling, the method can comprise the following steps:
Step 201: the evaluation formula that critical data index, weight corresponding to described critical data index, evaluation cycle, the corresponding relation of scoring stage and credit grade, credit rating of enterprise assessment rules, described critical data index are set, and the weight corresponding to described critical data index and described critical data index, credit rating formula is set.
Particularly, arranging the described evaluation cycle is any one monthly, in per season and other artificial definition time cycles.
Particularly, the summation of the weight corresponding to each critical data index is 1.
Particularly, from the database storing various data target, multiple critical data index is chosen.
Wherein, according to the practical application request of different user, the summation of the weight corresponding to each critical data index can be not equal to 1, and arranging of critical data index can for only arranging the concrete critical data index needed for user.
In the present embodiment, more standardize to make the evaluation of credit rating of enterprise, facilitate different user can adjust described critical data index flexibly according to self actual demand simultaneously, the summation that can arrange the weight corresponding to each critical data index is 1, and arranging of critical data index can be from the database storing various data target, choose multiple critical data index.
Usually, due to different law enforcement agencies towards industry law enforcement access field different, concrete supervision method is different, the content paid close attention to when daily supervision is enforced the law is different, and the evaluation cycle of credit rating of enterprise also can there are differences, therefore, before carrying out the automatic regular assessment of credit rating of enterprise, first need to determine the corresponding relation of rational critical data index and corresponding weight, evaluation cycle, credit rating of enterprise assessment rules, the evaluation formula of described critical data index, credit rating formula, scoring stage and credit grade.
For example, a certain law enforcement agency in existing administrative law enforcement field needs to exercise supervision to the multiple enterprises in its compass of competency the credit grade of management, the plurality of enterprise of regular assessment, is supervised with indivedual enterprises lower to credit grade and rectifies and improves.
Such as, can arrange that critical data index is current check, by report and complaint situation, in violation of rules and regulations situation, and the full marks of each critical data index are 100 points; Weight corresponding to current check is 25%, weight corresponding to report and complaint situation is 35%, weight in violation of rules and regulations corresponding to situation is 40%; The evaluation cycle is per season.
Step 202: according to described credit rating of enterprise assessment rules, the scoring event corresponding with described critical data index of each enterprise of real time record.
Particularly, the score of each critical data index in credit rating formula, after can being the relevant rudimentary business datum of system each index corresponding with credit rating of enterprise assessment rules at automatic acquisition, obtained by the evaluation formula automatically calculating each critical data index.
In detail, in credit rating of enterprise assessment rules, the score of current check can be the mean value of the summation of each current check score in evaluation cycle, and each current check score can be the standards of grading according to making in system, deduct points from full marks 100 points according to actual conditions, such as, if there is the problem of License expiration, 5 points are detained; By the score of report and complaint situation can be in evaluation cycle according to by report number of times mark, such as, often reported once then from full marks 100 points detain 3 points; The score of situation can be that the order of severity illegal according to enterprise in evaluation cycle and number of times are marked in violation of rules and regulations, such as, occur once illegal and degree is slight time from full marks 100 points detain 3 points, accordingly, detain when degree is general 8 points, degree heavier time detain 10 points, degree serious time detain 20 points, degree especially severe time detain 25 points.
Step 203: according to described scoring event, and according to the described evaluation cycle, regularly obtain each enterprise corresponding with the evaluation formula of described critical data index first marks.
In detail, the evaluation formula of each critical data index can be:
wherein, S is current check score, S
ibe the score of i-th current check, n is the number of times of current check in the evaluation cycle;
W=(100-3 × k), wherein, W is by report and complaint situation score, and k is by the number of times reported in the evaluation cycle;
wherein, P is violation situation score, P
jfor the illegal mark subtracted at every turn in the evaluation cycle, m is number of times in violation of rules and regulations.
Step 204: according to the described evaluation cycle, periodic operation and the engine corresponding to described credit rating formula, and according to described first scoring got, obtain each enterprise corresponding with described credit rating formula second marks.
In detail, credit rating formula can be Y=S × 25%+W × 35%+P × 40%, and wherein, Y is CREDIT SCORE, S is current check score, and W is by report and complaint situation score, and P is violation situation score.
Step 205: the corresponding relation and described second according to described scoring stage and credit grade is marked, and obtains the credit grade rank of each enterprise.
In detail, the corresponding relation of scoring stage and credit grade can be:
S:90 divides ~ and 100 points; A:80 divides ~ 90 points (not comprising 90 points); B:70 divides ~ 80 points (not comprising 80 points); C:60 divides ~ 70 points (not comprising 70 points); D:60 divides following (not comprising 60 points).
In this enforcement, after the corresponding relation pre-setting rational critical data index and corresponding weight, evaluation cycle, credit rating of enterprise assessment rules, the evaluation formula of described critical data index, credit rating formula, scoring stage and credit grade, system the relevant business datum of automatic acquisition can carry out computing, and carry out the automatically regularly intelligence evaluate of credit rating of enterprise of each enterprise, and draw the credit grade rank in current evaluation cycle Nei Ge enterprise.
Therefore, relevant law enfrocement official regularly can check the credit grade rank of each enterprise, and according to this ranking results, Timeliness coverage needs the enterprise of key monitoring, carry out field surveillance law enforcement, but not blindly carry out current check supervision, thus be conducive to the quality and the efficiency that improve enterprise's supervision law-enforcing work.
By this implementation, can make different law enforcement agency that the Intelligent Evaluation model of credit rating of enterprise is set flexibly according to different evaluation criterions, applied widely, and the evaluation of credit rating of enterprise is without the need to artificial participation, utilize computing machine automatically regularly to carry out intelligence grading completely, make the evaluation intelligence of credit rating of enterprise, science, efficiently.
In the present embodiment, by the automatically regular intelligence evaluate of credit rating of enterprise, every profession and trade law enforcement access field can be strengthened and carry out routine monitoring and monitoring to supervising enterprise separately, to reach the practical function of Timeliness coverage problem, accurately locking emphasis supervised entities, thus law enforcement agency at different levels can be made targetedly to lower rectified and improved by supervision enterprise, enforce the law of credit rating of enterprise, specification enterprise management behavior, optimizes Environment of Economic Development.
As shown in Figure 3, embodiments provide a kind of device of the evaluation credit rating of enterprise based on critical data modeling, comprising:
First setting unit 301, for arranging the corresponding relation of weight corresponding to critical data index, described critical data index, evaluation cycle, scoring stage and credit grade; According to the weight corresponding to described critical data index and described critical data index, credit rating formula is set, and the information in described critical data index and described evaluation cycle is exported to the first acquiring unit 302, export the information of described evaluation cycle and described credit rating formula to processing unit 303, export the information of the corresponding relation of described scoring stage and credit grade to second acquisition unit 304.
Described first acquiring unit 302, for receiving the described critical data index and the information in described evaluation cycle that are exported by described first setting unit 301, according to the described evaluation cycle, corresponding with described critical data index first of each enterprise of regular acquisition marks, and exports the information of described first scoring to described processing unit 303.
Described processing unit 303, for receiving the information of described evaluation cycle and the described credit rating formula exported by described first setting unit 301, receive the information of described first scoring exported by described first acquiring unit 302, according to the described evaluation cycle, periodic operation and the engine corresponding to described credit rating formula, and according to described first scoring got, obtain each enterprise corresponding with described credit rating formula second marks, and exports the information of described second scoring to described second acquisition unit 304.
Described second acquisition unit 304, for receiving the information of the corresponding relation of described scoring stage and the credit grade exported by described first setting unit 301, receive the information of described second scoring exported by described processing unit 303, corresponding relation and described second according to described scoring stage and credit grade is marked, and obtains the credit grade rank of each enterprise.
In a kind of possible implementation, please refer to Fig. 4, this device can also comprise:
Second setting unit 401, for arranging the evaluation formula of credit rating of enterprise assessment rules, described critical data index;
Described first acquiring unit 302, comprising:
Record subelement 3021, for according to described credit rating of enterprise assessment rules, the scoring event corresponding with described critical data index of each enterprise of real time record;
Obtain subelement 3022, for according to described scoring event, and according to the described evaluation cycle, regularly obtain each enterprise corresponding with the evaluation formula of described critical data index first marks.
In a kind of possible implementation, described first setting unit 301 is any one monthly, in per season and other artificial definition time cycles specifically for arranging the described evaluation cycle.
In a kind of possible implementation, described first setting unit 301, specifically for arranging the weight corresponding to described critical data index, and the summation of weight corresponding to each critical data index is 1.
In a kind of possible implementation, described first setting unit 301, specifically for choosing multiple critical data index from the database storing various data target.
The content such as information interaction, implementation between each unit in said apparatus, due to the inventive method embodiment based on same design, particular content can see in the inventive method embodiment describe, repeat no more herein.
In sum, embodiments provide a kind of method and device of the evaluation credit rating of enterprise based on critical data modeling, the embodiment of the present invention can have following beneficial effect:
1, a kind of method and device of the evaluation credit rating of enterprise based on critical data modeling is embodiments provided, pre-set the corresponding relation of critical data index and corresponding weight, evaluation cycle, scoring stage and credit grade, and according to described critical data index and corresponding weight to arrange credit rating formula; According to the evaluation cycle preset, periodic operation and the engine corresponding to described credit rating formula, and according to the scoring corresponding with described critical data index of each enterprise regularly got, obtain the credit scoring of each enterprise, again the corresponding relation of this credit scoring and described scoring stage and credit grade is analyzed, the credit grade rank of each enterprise of final acquisition, therefore, the embodiment of the present invention can realize the automated intelligent evaluation of credit rating of enterprise, thus the work efficiency of evaluation of upgrading.
2, a kind of method and device of the evaluation credit rating of enterprise based on critical data modeling is embodiments provided, relevant law enfrocement official regularly can check the credit grade rank of each enterprise, and according to this ranking results, Timeliness coverage needs the enterprise of key monitoring, carry out field surveillance law enforcement, but not blindly carry out current check supervision, thus be conducive to the quality and the efficiency that improve enterprise's supervision law-enforcing work.
3, a kind of method and device of the evaluation credit rating of enterprise based on critical data modeling is embodiments provided, can make different law enforcement agency that the Intelligent Evaluation model of credit rating of enterprise is set flexibly according to different evaluation criterions, applied widely, and the evaluation of credit rating of enterprise is without the need to artificial participation, utilize computing machine automatically regularly to carry out intelligence grading completely, make the evaluation intelligence of credit rating of enterprise, science, efficiently.
4, a kind of method and device of the evaluation credit rating of enterprise based on critical data modeling is embodiments provided, by the automatically regular intelligence evaluate of credit rating of enterprise, every profession and trade law enforcement access field can be strengthened and carry out routine monitoring and monitoring to supervising enterprise separately, to reach the practical function of Timeliness coverage problem, accurately locking emphasis supervised entities, thus law enforcement agency at different levels can be made targetedly to lower rectified and improved by supervision enterprise, enforce the law of credit rating of enterprise, specification enterprise management behavior, optimizes Environment of Economic Development.
Finally it should be noted that: the foregoing is only preferred embodiment of the present invention, only for illustration of technical scheme of the present invention, be not intended to limit protection scope of the present invention.All any amendments done within the spirit and principles in the present invention, equivalent replacement, improvement etc., be all included in protection scope of the present invention.
Claims (10)
1. based on a method for the evaluation credit rating of enterprise of critical data modeling, it is characterized in that, pre-set the corresponding relation of critical data index, weight corresponding to described critical data index, evaluation cycle, scoring stage and credit grade; According to the weight corresponding to described critical data index and described critical data index, arrange credit rating formula, the method also comprises:
S1: according to the described evaluation cycle, regularly obtain each enterprise corresponding with described critical data index first marks;
S2: according to the described evaluation cycle, periodic operation and the engine corresponding to described credit rating formula, and according to described first scoring got, obtain each enterprise corresponding with described credit rating formula second marks;
S3: the corresponding relation and described second according to described scoring stage and credit grade is marked, and obtains the credit grade rank of each enterprise.
2. method according to claim 1, is characterized in that,
Before S1, comprise further: the evaluation formula pre-setting credit rating of enterprise assessment rules, described critical data index;
Described S1, comprising:
According to described credit rating of enterprise assessment rules, the scoring event corresponding with described critical data index of each enterprise of real time record;
According to described scoring event, and according to the described evaluation cycle, regularly obtain each enterprise corresponding with the evaluation formula of described critical data index first marks.
3. method according to claim 1, is characterized in that, in the described evaluation cycle, comprising:
Monthly, any one in per season and other artificial definition time cycles.
4. method according to claim 1, is characterized in that, the weight corresponding to described critical data index, comprising:
The summation of the weight corresponding to each critical data index is 1.
5. according to described method arbitrary in Claims 1-4, it is characterized in that, described critical data index be set, comprising:
Multiple critical data index is chosen from the database storing various data target.
6., based on a device for the evaluation credit rating of enterprise of critical data modeling, it is characterized in that, comprising:
First setting unit, for arranging the corresponding relation of weight corresponding to critical data index, described critical data index, evaluation cycle, scoring stage and credit grade; According to the weight corresponding to described critical data index and described critical data index, credit rating formula is set, and the information in described critical data index and described evaluation cycle is exported to the first acquiring unit, export the information of described evaluation cycle and described credit rating formula to processing unit, export the information of the corresponding relation of described scoring stage and credit grade to second acquisition unit;
Described first acquiring unit, for receiving the described critical data index and the information in described evaluation cycle that are exported by described first setting unit, according to the described evaluation cycle, corresponding with described critical data index first of each enterprise of regular acquisition marks, and exports the information of described first scoring to described processing unit;
Described processing unit, for receiving the information of described evaluation cycle and the described credit rating formula exported by described first setting unit, receive the information of described first scoring exported by described first acquiring unit, according to the described evaluation cycle, periodic operation and the engine corresponding to described credit rating formula, and according to described first scoring got, obtain each enterprise corresponding with described credit rating formula second marks, and exports the information of described second scoring to described second acquisition unit;
Described second acquisition unit, for receiving the information of the corresponding relation of described scoring stage and the credit grade exported by described first setting unit, receive the information of described second scoring exported by described processing unit, corresponding relation and described second according to described scoring stage and credit grade is marked, and obtains the credit grade rank of each enterprise.
7. the device of the evaluation credit rating of enterprise based on critical data modeling according to claim 6, is characterized in that, comprise further:
Second setting unit, for arranging the evaluation formula of credit rating of enterprise assessment rules, described critical data index;
Described first acquiring unit, comprising:
Record subelement, for according to described credit rating of enterprise assessment rules, the scoring event corresponding with described critical data index of each enterprise of real time record;
Obtain subelement, for according to described scoring event, and according to the described evaluation cycle, regularly obtain each enterprise corresponding with the evaluation formula of described critical data index first marks.
8. the device of the evaluation credit rating of enterprise based on critical data modeling according to claim 6, it is characterized in that, described first setting unit is any one monthly, in per season and other artificial definition time cycles specifically for arranging the described evaluation cycle.
9. the device of the evaluation credit rating of enterprise based on critical data modeling according to claim 6, it is characterized in that, described first setting unit, specifically for arranging the weight corresponding to described critical data index, and the summation of weight corresponding to each critical data index is 1.
10. according to the device of the described evaluation credit rating of enterprise based on critical data modeling arbitrary in claim 6 to 9, it is characterized in that, described first setting unit, specifically for choosing multiple critical data index from the database storing various data target.
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| CN201510938825.2A CN105574666A (en) | 2015-12-15 | 2015-12-15 | Method and device for evaluating credit level of enterprise based on key data modeling |
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| CN201510938825.2A CN105574666A (en) | 2015-12-15 | 2015-12-15 | Method and device for evaluating credit level of enterprise based on key data modeling |
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Cited By (6)
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| CN105844516A (en) * | 2016-05-26 | 2016-08-10 | 龙官波 | Method and device for evaluating enterprise credit |
| CN109034970A (en) * | 2018-07-20 | 2018-12-18 | 政采云有限公司 | Integrity index evaluation method, device, equipment and access medium |
| CN109191015A (en) * | 2018-10-17 | 2019-01-11 | 大国创新智能科技(东莞)有限公司 | New high-tech enterprise's identification and robot system based on big data and deep learning |
| CN109978361A (en) * | 2019-03-19 | 2019-07-05 | 上海德启信息科技有限公司 | A kind of partner's credit management method and system |
| CN110751403A (en) * | 2019-10-21 | 2020-02-04 | 中国民航信息网络股份有限公司 | Credit scoring method and device |
| CN116307811A (en) * | 2022-12-19 | 2023-06-23 | 武汉中科通达高新技术股份有限公司 | Method and device for automatically grading enterprise index data in staged mode |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105844516A (en) * | 2016-05-26 | 2016-08-10 | 龙官波 | Method and device for evaluating enterprise credit |
| CN109034970A (en) * | 2018-07-20 | 2018-12-18 | 政采云有限公司 | Integrity index evaluation method, device, equipment and access medium |
| CN109191015A (en) * | 2018-10-17 | 2019-01-11 | 大国创新智能科技(东莞)有限公司 | New high-tech enterprise's identification and robot system based on big data and deep learning |
| CN109978361A (en) * | 2019-03-19 | 2019-07-05 | 上海德启信息科技有限公司 | A kind of partner's credit management method and system |
| CN110751403A (en) * | 2019-10-21 | 2020-02-04 | 中国民航信息网络股份有限公司 | Credit scoring method and device |
| CN116307811A (en) * | 2022-12-19 | 2023-06-23 | 武汉中科通达高新技术股份有限公司 | Method and device for automatically grading enterprise index data in staged mode |
| CN116307811B (en) * | 2022-12-19 | 2024-02-20 | 武汉中科通达高新技术股份有限公司 | Method and device for automatically grading enterprise index data in staged mode |
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