CN106651190A - Enterprise risk level assessment method and system - Google Patents
Enterprise risk level assessment method and system Download PDFInfo
- Publication number
- CN106651190A CN106651190A CN201611238906.2A CN201611238906A CN106651190A CN 106651190 A CN106651190 A CN 106651190A CN 201611238906 A CN201611238906 A CN 201611238906A CN 106651190 A CN106651190 A CN 106651190A
- Authority
- CN
- China
- Prior art keywords
- risk
- enterprise
- score value
- information
- current
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/10—Tax strategies
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Finance (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Technology Law (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Embodiments of the invention disclose an enterprise risk level assessment method and system, which is used for performing risk level assessment on an enterprise, and solves the problem in pre-assessment of tax evasion and tax avoidance risk of the enterprise. The method comprises the steps of acquiring current tax-related data of a first enterprise; determining a risk assessment index of the first enterprise according to the tax-related data and a preset risk assessment index system; calculating the risk assessment index according to a preset risk assessment model to obtain a current risk score of the first enterprises; and determining a risk level of the first enterprise according to the current risk score.
Description
Technical field
The present invention relates to risk assessment field, more particularly to a kind of business risk grade appraisal procedure and system.
Background technology
It is well known that tax revenue is the main source of state revenue, country relies on social public power, according to method law
Rule, include that business corporation, non-legal person enterprise and unit and natural person force free collection, taxpayer to be received in accordance with the law to taxpayer
Tax, to meet the needs of social public demands and public goods.
With the expansion and the development of socialist market economy of opening, status and work of the tax revenue in national economy
With increasingly strengthening.Tax revenue carries out one of important economic levers of marcoeconomic regulation and control as country.Macroscopical tax levels of appropriateness,
Scientific and reasonable tax structure and tax system, the tax policy of specification, can effectively adjust national income reallocation, promote
Production factors flow, and guide most optimum distribution of resources, promote economic growth and industrial upgrading, promote full employment and social stability.
The rational tax system, unified tax law, fair burden of taxation, for the relations of distribution made in order and between specification country and enterprise, promotes
Enterprise's fair competition, for the national income allocation relation made in order and between specification central and local governments, all with very important
Meaning.
At present, because enterprise income tax is used as the important tax category for affecting enterprise profit, many enterprises are still suffered from
The phenomenon that industry is evaded taxes, evades payment of duty, evades a tax, the difficult problem that tax work faces is how timely and effectively to prevent these illegal activities.One
As for, solving one of method of this difficult problem is started with from prevention, i.e., in advance predict enterprise evade taxes, evade payment of duty, evade a tax possibility
Property, then by administration means prior involvement, prevent enterprise implement tax dodging, tax avoidance, tax dodging.However, in prior art, greatly
Many number systems are mainly used in realizing the behavior whether monitoring enterprise evades taxes, evades payment of duty, evading a tax, a set of effective enterprise of shortage
Industry risk evaluating system, it is impossible to tax dodging, tax avoidance, the tax evasion risk of the enterprise of assessment in advance.
The content of the invention
A kind of business risk grade appraisal procedure and system are embodiments provided, for carrying out risk to enterprise
Grade is assessed, and solves the problems, such as to assess enterprise's tax dodging, tax avoidance, tax evasion risk in advance.
First aspect present invention provides a kind of business risk grade appraisal procedure, it may include:
Gather the current concerning taxes data of the first enterprise;
According to concerning taxes data and default Risk Assessment Index System, the risk assessment index of the first enterprise is determined;
Risk assessment index is calculated according to default risk evaluation model, obtains the current risk point of the first enterprise
Value;
The risk class of the first enterprise is determined according to current risk score value.
Further, determine that the risk class of the first enterprise includes according to current risk score value:
The current risk score value of the current risk score value and historical risk score value of the first enterprise, affiliated enterprise is weighted
Calculate, obtain target risk score value;
The risk class of the first enterprise is determined according to target risk score value;
Wherein, historical risk score value is that the historical risk assessments index determined by the history concerning taxes data of the first enterprise is calculated
Obtain, the current risk score value of affiliated enterprise is the risk assessment determined by the current concerning taxes data of the affiliated enterprise of the first enterprise
Index is calculated.
Further, by the current risk of the current risk score value and historical risk score value of the first enterprise, affiliated enterprise point
Value is weighted, and obtaining target risk score value includes:
Determine respectively the risk score value and historical risk score value of the first enterprise, the current risk score value of affiliated enterprise it is default
Weighted value;
According to default weighted value to the current risk score value and historical risk score value of the first enterprise, the current wind of affiliated enterprise
Dangerous score value is weighted summation, obtains target risk score value.
Further, the historical risk score value of the first enterprise includes:In at least one period before current time, first
Enterprise risky score value weighted calculation value.
Further, according to concerning taxes data and default Risk Assessment Index System, the risk assessment for determining the first enterprise refers to
Mark includes:
According to default Risk Assessment Index System, from the concerning taxes master data of the enterprise of concerning taxes extracting data first;
The risk assessment index of the first enterprise is determined according to concerning taxes master data.
Further, default risk evaluation model is the model or Logic Regression Models based on neural network algorithm.
Further, the method also includes:
The risk class information of the first enterprise is obtained, risk class information includes the risk class of the first enterprise;
Judge the risk class of the first enterprise whether higher than threshold value of warning;
If so, then by risk class information pushing to third party.
Further, the method also includes:
Third-party risk subscription information is obtained, risk subscription information includes enterprise's Back ground Information of the first enterprise;
Obtaining the risk class information of the first enterprise includes:
The risk class information of the first enterprise is obtained according to enterprise's Back ground Information.
Further, risk subscription information also includes the information pushing cycle;
Included according to the risk class information that enterprise's Back ground Information obtains the first enterprise:
According to the information pushing cycle, the risk class information of the first enterprise is obtained according to enterprise's Back ground Information.
Further, if third party is tax system, risk class information pushing is included to third party:
Risk-warning mission bit stream is generated according to risk class information;
Risk class information and Risk-warning mission bit stream are pushed to into tax system, or the corresponding work people of tax system
Member's account.
Second aspect present invention provides a kind of business risk grade assessment system, it may include:
Collecting unit, the concerning taxes data current for gathering the first enterprise;
First determining unit, for according to concerning taxes data and default Risk Assessment Index System, determining the wind of the first enterprise
Dangerous evaluation index;
Computing unit, for calculating current risk evaluation index according to default risk evaluation model, obtains first
The current risk score value of enterprise;
Second determining unit, for determining the risk class of the first enterprise according to current risk score value.
Further, the second determining unit, specifically for:
The current risk score value of the current risk score value and historical risk score value of the first enterprise, affiliated enterprise is weighted
Calculate, obtain target risk score value;
The risk class of the first enterprise is determined according to target risk score value;
Wherein, historical risk score value is that the historical risk assessments index determined by the history concerning taxes data of the first enterprise is calculated
Obtain, the current risk score value of affiliated enterprise is the risk assessment determined by the current concerning taxes data of the affiliated enterprise of the first enterprise
Index is calculated.
Further, the second determining unit, also particularly useful for:
The current risk score value and historical risk score value of the first enterprise, the current risk score value of affiliated enterprise are determined respectively
Default weighted value;
According to default weighted value to the current risk score value and historical risk score value of the first enterprise, the current wind of affiliated enterprise
Dangerous score value is weighted summation, obtains target risk score value.
Further, the historical risk score value of the first enterprise includes:In at least one period before current time, first
Enterprise risky score value weighted calculation value.
Further, the first determining unit, specifically for:
According to default Risk Assessment Index System, from the concerning taxes master data of the enterprise of concerning taxes extracting data first;
The risk assessment index of the first enterprise is determined according to concerning taxes master data.
Further, default risk evaluation model is the model or Logic Regression Models based on neural network algorithm.
Further, device also includes:
First acquisition unit, for obtaining the risk class information of the first enterprise, risk class information includes the first enterprise
Risk class;
Judging unit, for judging the risk class of the first enterprise whether higher than threshold value of warning;
Push unit, during for risk class higher than threshold value of warning, then by risk class information pushing to third party.
Further, device also includes:
Second acquisition unit, for obtaining third-party risk subscription information, risk subscription information includes the first enterprise
Enterprise's Back ground Information;
First acquisition unit, specifically for:
The risk class information of the first enterprise is obtained according to enterprise's Back ground Information.
Further, risk subscription information also includes the information pushing cycle;
First acquisition unit, also particularly useful for:
According to the information pushing cycle, the risk class information of the first enterprise is obtained according to enterprise's Back ground Information.
Further, push unit, specifically for:
Risk-warning mission bit stream is generated according to risk class information;
Risk class information and Risk-warning mission bit stream are pushed to into tax system, or the corresponding work people of tax system
Member's account.
As can be seen from the above technical solutions, the embodiment of the present invention has advantages below:
In the present embodiment, by the concerning taxes data of the enterprise of Real-time Collection first, can be based on tax data in default risk
The risk assessment index of the first enterprise is determined in grade evaluation system, it is possible to combine default risk evaluation model to the first enterprise
Risk class assessment is carried out, such that it is able to realize that the first enterprise of precognition evades taxes, evades payment of duty, evades a tax according to the risk class of the first enterprise
Risk.
Description of the drawings
Fig. 1 is business risk grade appraisal procedure one embodiment schematic diagram in the embodiment of the present invention;
Fig. 2 is another embodiment schematic diagram of business risk grade appraisal procedure in the embodiment of the present invention;
Fig. 3 is another embodiment schematic diagram of business risk grade appraisal procedure in the embodiment of the present invention;
Fig. 4 is embodiment of the present invention risk class information method for pushing one embodiment schematic diagram;
Fig. 5 is another embodiment schematic diagram of embodiment of the present invention risk class information method for pushing;
Fig. 6 is another embodiment schematic diagram of embodiment of the present invention risk class information method for pushing;
Fig. 7 is business risk grade assessment system one embodiment schematic diagram in the embodiment of the present invention;
Fig. 8 is another embodiment schematic diagram of business risk grade assessment system in the embodiment of the present invention;
Fig. 9 is another embodiment schematic diagram of business risk grade assessment system in the embodiment of the present invention;
Figure 10 is another embodiment schematic diagram of business risk grade assessment system in the embodiment of the present invention;
Figure 11 is the deployment schematic diagram of business risk grade assessment system in the embodiment of the present invention.
Specific embodiment
A kind of business risk grade appraisal procedure and system are embodiments provided, for carrying out risk to enterprise
Grade is assessed, and solves the problems, such as to assess enterprise's tax dodging, tax avoidance, tax evasion risk in advance.
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, is clearly and completely described to the technical scheme in the embodiment of the present invention, it is clear that described embodiment is only
The embodiment of a part of the invention, rather than the embodiment of whole.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment that member is obtained under the premise of creative work is not made, should all belong to the model of present invention protection
Enclose.
Term " first ", " second ", " the 3rd " in description and claims of this specification and above-mentioned accompanying drawing, "
Four " etc. (if present) is the object for distinguishing similar, without for describing specific order or precedence.Should manage
The data that solution is so used can be exchanged in the appropriate case, so that the embodiments described herein can be with except illustrating here
Or the order beyond the content of description is implemented.Additionally, term " comprising " and " having " and their any deformation, it is intended that
Covering is non-exclusive to be included, and for example, containing process, method, system, product or the equipment of series of steps or unit need not limit
In those steps or unit for clearly listing, but may include clearly not list or for these processes, method, product
Other intrinsic steps of product or equipment or unit.
For ease of understanding, the idiographic flow in the embodiment of the present invention is described below, refers to Fig. 1, the present invention is real
Applying business risk grade appraisal procedure one embodiment in example includes:
101st, the current concerning taxes data of the first enterprise are gathered;
In the present embodiment, business risk grade assessment system can be docked with tax system, each financial institution, collection first
The current concerning taxes data of enterprise.
Specifically, enterprise according to scale of operation, personnel amount, floating capital can be divided into it is little, in, large enterprise, root
It is different according to enterprise nature, scope of operation and scope, general industrial and commercial enterprises, financial company and public institution etc. can be divided into again,
Different according to enterprises ' industry property, tax declaration is inconsistent.In order to be conducive to predicting the risk that enterprise evades taxes, evades payment of duty, evades a tax,
Business risk grade assessment system is obtained after the mandate of tax system and each financial institution, and business risk grade assessment system can
To obtain the concerning taxes data of enterprise of different nature.
In the present embodiment, concerning taxes data can include the basic data of the first enterprise, the declaration data of the first enterprise, first
The invoice data of enterprise, the operation of the first enterprise and financial data.It should be noted that the concerning taxes data in the present embodiment except
The content of described above, in actual applications, can also include other, as long as tax-related information, does not specifically limit herein
It is fixed.
Further, the concerning taxes data in the present embodiment after the acquisition, during such as database can be stored in.
It is understood that the first enterprise in the present embodiment can be an enterprise, or multiple enterprises, specifically
Do not limit herein.
102nd, according to concerning taxes data and default Risk Assessment Index System, the risk assessment index of the first enterprise is determined;
In the present embodiment, after gathering the current concerning taxes data of the first enterprise, can be commented according to concerning taxes data and default risk
Assessment system, determines the risk assessment index of the first enterprise.
Specifically, the concerning taxes data of the first enterprise of collection are more disperseed, and need to analyze concerning taxes data accordingly
And extract.In actual applications, default Risk Assessment Index System can be pre-set, the default Risk Assessment Index System
Each index for assessing business risk grade can be included, so as to pass through to combine concerning taxes data and default risk assessment index
System, it may be determined that the risk assessment index of the first enterprise.
In the present embodiment, default Risk Assessment Index System can be designed based on data statistics, or be made by oneself
Justice design, does not specifically limit herein.
103rd, risk assessment index is calculated according to default risk evaluation model, obtains the current risk of the first enterprise
Score value;
In the present embodiment, according to concerning taxes data and default Risk Assessment Index System, the risk assessment of the first enterprise is determined
After index, risk assessment index can be calculated according to default risk evaluation model, obtain the current risk of the first enterprise
Score value.
Specifically, default risk evaluation model can be the model or Logic Regression Models based on neural network algorithm,
In practical application, illustrate by taking the model based on neural network algorithm as an example, can be commented by gathering the risk of each enterprise
Estimate index constantly to train the model based on neural network algorithm, it is possible to be based on nerve net to this according to training result
The relevant parameter of the model of network algorithm is constantly adjusted, so that the calculated value of the model of neural network algorithm should be based on not
It is disconnected to tend to accurate, such that it is able to using the last model based on neural network algorithm for obtaining that adjusts as default risk assessment mould
Type.Therefore, in actual applications, after obtaining the risk assessment index of the first enterprise, can be directly defeated by the risk assessment index
Enter and calculated accordingly in default risk evaluation model, you can obtain the current risk score value of accurate first enterprise.
If being also that Logic Regression Models are constantly instructed it is understood that presetting risk evaluation model for Logic Regression Models
Practice, with the last Logic Regression Models for obtaining that adjust as default risk evaluation model.
Further, after the current risk score value of the first enterprise is calculated, can be by the current risk score value storage
Into database, can be referred to as the historical risk score value of the first enterprise in the calculating of follow-up time, it is possible to
The mapping relations set up between the first enterprise and corresponding risk score value, with according to according to the mapping relations in database to
The corresponding risk score value of one enterprise makes a look up.Notably, when the current risk score value of the first enterprise is stored, can attach the time
Mark, to have distinguished to the calculated risk score value of different time.
In the present embodiment, except the difference of input object, the model and Logic Regression Models based on neural network algorithm
Acquisition be referred to prior art, here is omitted.
It is understood that two kind models of the default risk evaluation model in the present embodiment except described above, in reality
In the application of border, other models can also be adopted, as long as corresponding calculating i.e. can be carried out to the risk assessment index of the first enterprise
Can, specifically do not limit herein.
104th, the risk class of the first enterprise is determined according to current risk score value.
In the present embodiment, risk assessment index is calculated according to default risk evaluation model, obtain the first enterprise
After current risk score value, the risk class of the first enterprise can be determined according to current risk score value.
Specifically, multiple threshold intervals can be set, each threshold interval can correspond to a risk class, so as to basis
The threshold interval that different risk score values is located, it may be determined that corresponding risk class.For example, it is assumed that risk score value is percentage
System, wherein, 0 to 20 point of D grade, 20 to 50 points is C grades, and 50 to 80 points is B grades, and 80 to 100 points is A grades, corresponding,
Risk score value is higher, and risk class is higher, i.e., A grades can be excessive risk, and B grades can be risk, and C grades can be low
Risk, C grades can be normal, then if the current risk score value of the first enterprise is 85, can determine the wind of the first enterprise
Dangerous grade is B grades.
It is understood that the present embodiment only illustrates to determine the first enterprise according to current risk score value with said one example
The mode of the risk class of industry, in actual applications, can also adopt alternate manner, as long as can be true according to current risk score value
The risk class of fixed first enterprise, does not specifically limit herein.
In the present embodiment, by the current concerning taxes data of the enterprise of Real-time Collection first, can be based on tax data default
The risk assessment index of the first enterprise is determined in risk class evaluation system, it is possible to combine default risk evaluation model to first
Enterprise carries out risk class assessment, such that it is able to evading taxes, evading payment of duty according to the first enterprise of the risk class of the first enterprise realization precognition,
The risk of tax evasion, and then can be taken appropriate measures according to the risk class for determining, to prevent trouble before it happens.
It is understood that in order to obtain the risk class than more objective first enterprise, can be with reference to the first enterprise
Historical risk score value, the current risk score value of affiliated enterprise are determined, it is possible to stored risk class, to carry out phase
The Risk-warning analysis answered, it is specifically described below:
Fig. 2 is referred to, another embodiment of business risk grade appraisal procedure includes in the embodiment of the present invention:
Step 201 in the present embodiment is identical with the step 101 in embodiment illustrated in fig. 1, and here is omitted.
202nd, according to default Risk Assessment Index System, from the concerning taxes master data of the enterprise of concerning taxes extracting data first;
In the present embodiment, after gathering the current concerning taxes data of the first enterprise, can according to default Risk Assessment Index System,
From the concerning taxes master data of the enterprise of concerning taxes extracting data first.
Specifically, the default Risk Assessment Index System in the present embodiment can include asset operation situation, debt paying ability,
Financial benefit situation, banking relations, five aspects of development prospect, wherein, every aspect can be to there is specific risk assessment
Index, for example, as shown in figure 3, asset operation situation can include that liquidity ratio, two risk assessment of working capital turnover rate refer to
Mark, debt paying ability can include asset-liability ratio, two risk assessment indexs of existing debt-to-equity ratio, and financial benefit state can be wrapped
Include return on total assets, profit ratio of sales, net assets income ratio, interest cover ratio, five risk assessment of the sales volume of the product to refer to
Mark, banking relations can return row rate, deposit two risk assessment indexs of ratio, development prospect to include net money including income from sales
Produce growth rate this risk assessment index.
In actual applications, according to the specific targets content of above-mentioned five aspects, can be to including the basis of the first enterprise
First enterprise of data, the declaration data of the first enterprise, the invoice data of the first enterprise, the operation of the first enterprise and financial data
Concerning taxes data be analyzed and extraction, to obtain the concerning taxes master data of the first enterprise of multiple classifications, the master of each classification
Concerning taxes data can include the specifying information of the category again.Wherein, concerning taxes master data can illustrate as follows content:
(1) enterprise's essential information:Enterprise name, legal representative's name, enterprise address, registered capital, business scope, core
Calculation mode, industry, affiliated enterprise etc.;
(2) tax registration information:Tax Registration Certificate number, tax registration checking and change certification situation, taxpayer's property and the tax
Controlled state, cartel annual test situation, import and export management qualification and the type of business, the national organization mechanism code of enterprise etc.;
(3) enterprise operation and financial information:Major product (business), year sell (business) income, pay taxes in year total value, Nian Na
Tax warehouse-in total value etc.;
(4) enterprise honor record information:Great reward, trade mark data (famous, famous, focused protection etc.), authorised representative
People's honor record and other honor data of enterprise etc.;
(5) enterprise's poor record information:Enterprise smuggles, escapes to deceive arbitrage, evades and deceive tax refusal, manufacturing and marketing fake, malice evasion of debts debt
Business, using contract swindle etc. violation of law, and it is illegal revoked enterprise's business license, larger number fine etc. administrative penalty feelings
Condition etc..
It is understood that presetting risk assessment index and the concerning taxes master in Risk Assessment Index System in the present embodiment
Data can also be other except the content of described above, as long as being conducive to obtaining the risk class of the first enterprise, specifically
Do not limit herein.
203rd, the risk assessment index of the first enterprise is determined according to concerning taxes master data;
In the present embodiment, according to default Risk Assessment Index System, from the concerning taxes master of the enterprise of concerning taxes extracting data first
After data, the risk assessment index of the first enterprise can be determined according to concerning taxes master data.
Specifically, obtain the first enterprise concerning taxes master data after, can from classification concerning taxes master data in choose with advance
If the corresponding calculating data of risk assessment index in Risk Assessment Index System, it is possible to will be chosen according to preset algorithm
Calculate data to be calculated accordingly, specifically to obtain the corresponding risk assessment index of the first enterprise.
For example, according to (business) income is sold the year of the first enterprise, the first enterprise can be calculated and is referred in default risk assessment
Profit ratio of sales index in mark system in terms of financial benefit situation.
Step 204 in the present embodiment is identical with the step 103 in embodiment illustrated in fig. 1, and here is omitted.
205th, the current risk score value of the first enterprise is weighted with historical risk score value, the current risk score value for associating
Calculate, obtain target risk score value;
In the present embodiment, risk assessment index is calculated according to default risk evaluation model, obtain the first enterprise
After current risk score value, can be by the current risk score value of the first enterprise and historical risk score value, the current risk of affiliated enterprise
Score value is weighted, and obtains target risk score value.
Specifically, in order to obtain the risk class of objective and accurate first enterprise of comparison, can be with reference to the first enterprise
Current risk score value and historical risk score value, the current risk score value of affiliated enterprise carry out COMPREHENSIVE CALCULATING, are preset based on same
Risk indicator evaluation system and default risk evaluation model, the historical risk score value of the first enterprise can be by the first enterprise
The historical risk assessments index that history concerning taxes data determine is calculated, and the current risk score value of affiliated enterprise can be by first
The risk assessment index that the current concerning taxes data of the affiliated enterprise of enterprise determine is calculated, wherein, affiliated enterprise can be with
First enterprise has transaction dealing, other enterprises of business associate, auxiliary from side with according to the current risk score value of affiliated enterprise
Help the current risk score value for estimating the first enterprise.It is understood that the historical risk score value of the first enterprise, affiliated enterprise work as
Front risk score value can be centrally stored in the database of business risk grade assessment system, and is built between corresponding enterprise
Vertical mapping relations, so as to when the risk score value to the first enterprise carries out COMPREHENSIVE CALCULATING, obtain from data.
In the present embodiment, risk score value, historical risk score value, co-related risks score value and association history score value are carried out adding
Power is calculated, and obtaining the concrete mode of target risk score value can be:
The current risk score value and historical risk score value of the first enterprise, the current risk score value of affiliated enterprise are determined respectively
Default weighted value;
According to default weighted value to the current risk score value and historical risk score value of the first enterprise, the current wind of affiliated enterprise
Dangerous score value is weighted summation, obtains target risk score value.
In actual applications, for the first enterprise, currently available risk score value accounts for major part, but current wind
Dangerous score value cannot the current overall risk score value situation of the enterprise of overall merit first, such that it is able to according to the current wind of the first enterprise
Dangerous score value and historical risk score value, the significance level of the risk score value of affiliated enterprise or influence degree, pre-set respectively default
Weighted value, with the summation after corresponding weighted value is calculated respectively target risk score value is obtained, and the target risk score value can be made
For the current risk score value of the first enterprise.For example, it is assumed that risk score value, historical risk score value, co-related risks score value and association
History score value is respectively 90,75,70, and corresponding default weighted value is respectively 0.8,01,0.1, then after weighted sum, can
To obtain target risk score value as 86.5.
Further, when calculating the target risk score value of the first enterprise in the present embodiment, can also be with reference to association
The historical risk score value of the historical risk score value of enterprise, i.e. affiliated enterprise can also be to there is default weighted value accordingly, and this is gone through
History co-related risks score value can be that the historical risk assessments index determined by the history concerning taxes data of affiliated enterprise is calculated.
Further, in the current risk score value of the current risk score value and affiliated enterprise for being calculated the first enterprise
Before, the calculating of multiple risk score value can be carried out, it is possible to stored this multiple risk score value, this multiple risk point
Value can think the corresponding historical risk score value of the first enterprise and affiliated enterprise.Wherein, the historical risk score value of the first enterprise
Can include:In at least one period before current time, the first enterprise risky score value weighted calculation value;Equally
, historical context risk score value can include:In at least one period before current time, risky point of the institute of affiliated enterprise
The weighted calculation value of value.For example, it is assumed that the calculation date of the current risk score value of the first enterprise is on December 20th, 2016, then
The historical risk score value of the first enterprise can be the weighted calculation of risky score value in one month in the past on December 20th, 2016
It is worth, such as weighted average, then the current co-related risks score value of affiliated enterprise can be calculated on December 20th, 2016, associates
The association historical risk score value of enterprise can also be that risky score value such as adds in one month in the past on December 20th, 2016
Weight average value.
It is understood that the current co-related risks score value corresponding time of affiliated enterprise can be with first in the present embodiment
The corresponding Time Inconsistency of current risk score value of enterprise, the current co-related risks score value of affiliated enterprise refers to affiliated enterprise most
New calculated risk score value, then likewise, the historical risk score value corresponding time of affiliated enterprise and the first enterprise
The historical risk score value corresponding time can also be inconsistent.
It should be noted that in the present embodiment the historical risk score value of the first enterprise, affiliated enterprise historical risk score value
Except the content of described above, in actual applications, other are can also be, the no time restriction such as before current time
Risky score value weighted value, or current time before some risk score value, specifically do not limit herein.
206th, the risk class of the first enterprise is determined according to target risk score value;
In the present embodiment, by current risk score value and historical risk score value, the current risk of affiliated enterprise of the first enterprise
Score value is weighted, and after obtaining target risk score value, risk of the first enterprise etc. can be determined according to target risk score value
Level.
Partial content in the present embodiment is identical with the content of step 104 explanation in embodiment illustrated in fig. 1, no longer goes to live in the household of one's in-laws on getting married herein
State.
207th, the risk class of the first enterprise is stored.
In the present embodiment, determined after the risk class of the first enterprise according to target risk score value, the first enterprise can be stored
Risk class, using the historical risk grade as the first enterprise.
Specifically, it is determined that after the risk class of the first enterprise, the risk class can be stored into database, and can
To set up the mapping relations of the first enterprise and corresponding risk class, with according to the mapping relations in database to the first enterprise
Risk class make a look up.Notably, when the risk class of the first enterprise is stored, time marking can be attached, with to difference
Time Calculation obtains risk class and has distinguished.
On the basis of embodiment illustrated in fig. 1, in the present embodiment, by the current risk score value with reference to the first enterprise and going through
History risk score value, the current risk score value of affiliated enterprise, the risk class that can assess the first enterprise with comprehensive analysis, are conducive to carrying
The accuracy rate of the risk class assessment of high first enterprise, obtains more objective risk class.Additionally, risk class can counted
Stored according to storehouse, so as to the risk evaluation result that can store all enterprises in database, be conducive to entering each enterprise
The corresponding risk management of row.
It is understood that the determination based on risk class, in order to further monitor enterprise's tax dodging, tax avoidance, tax evasion risk,
In actual applications, can be according to the high low degree of the risk class of the enterprise of storage, by the higher enterprise of risk class degree
Risk class information pushed, to aid in different mechanisms to tackle enterprise tax dodging that may be present, tax avoidance, tax evasion wind
Danger, below based on the risk class stored in the database of business risk grade assessment system, can believe risk class
The method for pushing of breath is specifically described:
Fig. 4 is referred to, embodiment of the present invention risk class information method for pushing one embodiment includes:
401st, the risk class information of the first enterprise is obtained;
Specifically, can be stored with the risk class of multiple different enterprises in the database of business risk grade assessment system
Information, in order to risk class information can be made full use of, can be by the risk class information pushing of correspondence enterprise in need
Third party.In the present embodiment, the risk class information of the first enterprise can be obtained in such as database, the risk class information
The risk class of the first enterprise can be included.
It should be noted that in the present embodiment, it is preferred that the risk class information of the first enterprise can be newest storage
Risk class information, then by taking embodiment illustrated in fig. 2 as an example, the risk class information of the first enterprise can implemented shown in Fig. 2
Example in step 207 after can be obtained, or in the embodiment depicted in figure 2 the step of 208 after obtained, herein
Do not limit.
402nd, the risk class of the first enterprise is judged whether higher than threshold value of warning, if so, then execution step 403, if it is not, then
Execution step 404;
In the present embodiment, the risk class information of the first enterprise is obtained, it may be determined that the risk class information of the first enterprise
In risk class, it is possible to judge the risk class of the first enterprise whether higher than threshold value of warning.
Specifically, business risk grade assessment system can pre-set threshold value of warning, to judge whether the first enterprise needs
Carry out early warning to prevent, arranged with the risk class of step 104 explanation in embodiment illustrated in fig. 1, it is assumed that threshold value of warning is C etc.
Level, then may determine that the risk class of the first enterprise whether higher than threshold value of warning.Wherein, A grades are higher than B grades, and B grades are high
In C grades, C grades are higher than D grades.
Further, in the present embodiment the first enterprise risk class except can be newest storage risk class, i.e.,
One risk class information of correspondence, or multiple risk class of the first enterprise storage in a period of time, that is, correspond to one
Or multiple risk class information, then the weighted value of multiple risk class and threshold value of warning can be compared, or be incited somebody to action
Multiple risk class are compared one by one with threshold value of warning, specifically do not limit herein.
403rd, by risk class information pushing to third party;
In the present embodiment, if judging, the risk class of the first enterprise, can be by risk class information higher than threshold value of warning
Push to third party.
Specifically, if the risk class of the first enterprise be higher than threshold value of warning, illustrate the first enterprise may have tax avoidance, tax evasion,
Tax dodging equivalent risk is present, then the risk class letter can be pushed to into third party, with the behavior such as prevent to evade payment of duty, evade a tax, evade taxes
Occur, prevent from causing bad impact of paying taxes, while fund early warning can also be carried out to third party, reduce third party and look forward to first
The managing risk of the significant capital of industry.
In actual applications, third party can include financial institution system, tax system, wherein, financial institution system is again
Banking system can be included.Illustrated as third party with tax system with banking system below:
When third party is banking system, business risk grade assessment system can be by risk class higher than threshold value of warning
, to banking system, the risk class information is except including the corresponding risk of the first enterprise for the risk class information pushing of the first enterprise
Grade, can also include the company information of the first enterprise, fully to disclose the relevant information of the first enterprise, bank to banking system
System, can be according to the further analysis and evaluation first of the risk class information after the risk class information for receiving the first enterprise
The credit of enterprise, may determine whether to be provided a loan to the first enterprise when the first enterprise demand is provided a loan, it follows that the
Risk management before the push of one business risk grade can aid in bank to borrow the first enterprise and after loan
When third party is tax system, risk class can also be higher than threshold value of warning by business risk grade assessment system
The first enterprise risk class information pushing to tax system, can also be the corresponding staff's account of tax system, such as
The account of tax staff.The risk class information is except including the corresponding risk class of the first enterprise, can also also include first
The company information of enterprise, fully to disclose the relevant information of the first enterprise to tax system so that the staff of revenue department
Comprehensive assessment can be carried out to the first enterprise according to risk class information, it is possible to correspondingly launch tax payment evaluation, tax revenue and check
With the work such as anti-tax evasion.
Further, in order to support the work of the staff of revenue department, in the present embodiment, however, it is determined that the first enterprise
Risk class in risk class information is higher than threshold value of warning, then can generate Risk-warning task according to risk class information
Information, you can according to the corresponding resource of risk class message scheduling risk class, to generate the corresponding Risk-warning of risk class
Mission bit stream, it is possible to which just risk class information and Risk-warning mission bit stream push to tax system, or tax system pair
Staff's account of the difference function of the staff's account answered, i.e. revenue department can receive corresponding risk class information
With Risk-warning mission bit stream, corresponding work is launched with the staff for preferably aiding in revenue department.
In the present embodiment, company information can include the dependency number for being conducive to third party to understand the first enterprise in concerning taxes data
According to enterprise's record of bad behavior information of such as the first enterprise.
404th, other flow processs are performed.
In the present embodiment, if the risk class for judging the first enterprise is not higher than threshold value of warning, illustrate that the first enterprise does not have
Early warning prevents needs, can not carry out the push of risk class information, then can not carry out other operations, but still can continue to adopt
Collecting the concerning taxes data of the first enterprise carries out the renewal of risk class information, does not limit herein.
On the basis of embodiment illustrated in fig. 2, the push of risk information is set forth in the present embodiment, by by wind
The risk class information pushing of the first higher enterprise of dangerous degree is conducive to third party, such as banking system or tax system
Tripartite formulates corresponding strategy according to risk class information, to prevent the generation of adverse events, it is possible to which auxiliary supports third party
Work, the staff for such as causing revenue department carries out tax work, reduces the Probability evaded taxes, evade a tax, evade payment of duty, and for example
Strengthen the credit management of bank.
Fig. 5 is referred to, another embodiment of embodiment of the present invention risk class information method for pushing includes:
501st, third-party risk subscription information is obtained;
In the present embodiment, business risk grade assessment system obtains the risk class information of the first enterprise as third party
Source, actively can carry out the push of the risk class information of the first enterprise, or actively by third party to third party
Seek the risk class information for obtaining the first enterprise.
Specifically, third party can dock business risk grade assessment system, send to business risk grade assessment system
Including the risk subscription information of enterprise's Back ground Information, to realize customization of the business risk grade assessment system to risk class information
Push, business risk grade assessment system is received after third-party risk subscription information, can store the risk subscription information, with
When needing to carry out the push of risk class information to third party, third-party risk subscription information can be obtained.
502nd, the risk class information of the first enterprise is obtained according to enterprise's Back ground Information;
In the present embodiment, after obtaining third-party risk subscription information, first can be obtained according to enterprise's Back ground Information and looked forward to
The risk class information of industry.
Specifically, by parsing risk subscription information, it may be determined that the enterprise's Back ground Information in risk subscription information, and then
Can determine third-party concern enterprise, then when third-party enterprise's Back ground Information the first enterprise of correspondence, can be according to the enterprise
Risk class information of the industry Back ground Information in the enterprise of database lookup first.In actual applications, enterprise's Back ground Information can be wrapped
The enterprise name and corporate tax identifier of the first enterprise are included, because corporate tax identifier has unique identification, then
The risk class information of the first enterprise can be obtained in database by the corporate tax identifier of the first enterprise.
If it is understood that being carried out to the risk class information of the first enterprise in database by enterprise's Back ground Information
Search, then corresponding, in risk that the first enterprise is calculated according to embodiment as shown in Figure 1 or embodiment illustrated in fig. 2 etc.
During level, it is also possible to which the risk class of the first enterprise and enterprise's Back ground Information of the first enterprise to storing in database sets up mapping
Relation.
It should be noted that except the corporate tax identifier using the first enterprise is obtained in database in the present embodiment
The risk class information of the first enterprise, it would however also be possible to employ alternate manner, such as utilizes enterprise name, does not specifically limit herein.
Step 503 in the present embodiment is identical to step 404 with the step 402 in embodiment illustrated in fig. 4 to step 505,
It is no longer identical herein.
On the basis of embodiment illustrated in fig. 4, in the present embodiment, third party can be changed to actively by the mode of active push
The push of customization risk class letter so that third party can accordingly be customized according to the needs of itself, and risk class is believed
The push of breath is more targeted.
Fig. 6 is referred to, another embodiment of embodiment of the present invention risk class information method for pushing includes:
601st, third-party risk subscription information is obtained;
Partial content in the present embodiment is identical with the step 501 in embodiment illustrated in fig. 5, and here is omitted.
Specifically, the present embodiment risk subscription information can also include letter except enterprise's Back ground Information of the first enterprise
The breath push cycle.Specifically, during third direction business risk grade assessment system customization risk subscription information, with can be in risk
The information pushing cycle is determined in subscription information, such as third party expects that business risk grade assessment system can be in the wind of the first enterprise
Dangerous grade can daily, weekly or monthly carry out the push of the risk class of the first enterprise higher than in the case of threshold value of warning.
Further, for the ease of carrying out the push of risk class information, business risk grade assessment system to third party
Company information and information pushing cycle can be set up subscription list, the first enterprise is managed with facilitating, it is possible to be convenient
Third party is pushed.For example, as shown in table 1, with company information as enterprise name, it is assumed that there are different third party A, B,
C, wherein, the subscription information of third party A includes enterprise A1 (7 days information pushing cycles), A2 (5 days information pushing cycles), the
The subscription information of tripartite B includes enterprise B 1 (15 days information pushing cycles), and the subscription information of third party C includes enterprise C1
(1 day information pushing cycle), C2 (3 days information pushing cycles), enterprise C3 (20 days information pushing cycles).
Table 1
602nd, according to the information pushing cycle, the risk class information of the first enterprise is obtained according to enterprise's Back ground Information;
In the present embodiment, after obtaining third-party risk subscription information, can be according to the information pushing cycle, according to enterprise's base
The risk class information of the enterprise of plinth acquisition of information first.
For example, it is assumed that the risk class information of the first enterprise updates once daily, i.e., there is corresponding risk class to exist daily
Stored in database, then if the information pushing cycle is one month, first can be obtained in database with each moon
The risk class of the newest storage of enterprise, it is also possible to obtain the first enterprise in each month risky etc. in the institute that databases are stored up
Level, then can obtain the risk class information including corresponding risk class, and with this information pushing cycle the first enterprise is carried out
The circulation of risk class letter is obtained.
Step 603 in the present embodiment is identical to step 404 with the step 402 in embodiment illustrated in fig. 4 to step 605,
It is no longer identical herein.
Compared with embodiment illustrated in fig. 5, the present embodiment can also realize customized push of the third party to risk class information,
But the push of the present embodiment risk class information is regular, with certain periodicity, be more beneficial for third party with
The information butt joint of business risk grade assessment system, is also beneficial to business risk grade assessment system and third-party risk is subscribed to
The management of information.
The business risk grade appraisal procedure in the embodiment of the present invention is described above, below to present invention enforcement
Business risk grade assessment system in example is described, and the system is applied to business risk grade assessment system, refers to figure
7, business risk grade assessment system one embodiment includes in the embodiment of the present invention:
Collecting unit 701, the concerning taxes data current for gathering the first enterprise;
First determining unit 702, for according to concerning taxes data and default Risk Assessment Index System, determining the first enterprise
Risk assessment index;
Computing unit 703, for calculating current risk evaluation index according to default risk evaluation model, obtains
The current risk score value of one enterprise;
Second determining unit 704, for determining the risk class of the first enterprise according to current risk score value.
Fig. 8 is referred to, another embodiment of business risk grade assessment system includes in the embodiment of the present invention:
Unit 801 in the present embodiment is identical with the unit 701 in embodiment illustrated in fig. 7, and unit 802 is real with shown in Fig. 7
The unit 702 applied in example is identical, and unit 803 is identical with the unit 703 in embodiment illustrated in fig. 7, and unit 804 is real with shown in Fig. 7
The unit 704 applied in example is identical, and here is omitted.
Memory cell 805, for storing the risk class of the first enterprise.
In the present embodiment, the first determining unit 802, can further specifically for:
According to default Risk Assessment Index System, from the concerning taxes master data of the enterprise of concerning taxes extracting data first;
The risk assessment index of the first enterprise is determined according to concerning taxes master data.
In the present embodiment, the second determining unit 804, can also further specifically for:
The current risk score value of the current risk score value and historical risk score value of the first enterprise, affiliated enterprise is weighted
Calculate, obtain target risk score value;
The risk class of the first enterprise is determined according to target risk score value;
Wherein, historical risk score value is that the historical risk assessments index determined by the history concerning taxes data of the first enterprise is calculated
Obtain, the current risk score value of affiliated enterprise is the risk assessment determined by the current concerning taxes data of the affiliated enterprise of the first enterprise
Index is calculated.
In the present embodiment, the second determining unit 804, can also further specifically for:
The current risk score value and historical risk score value of the first enterprise, the current risk score value of affiliated enterprise are determined respectively
Default weighted value;
According to default weighted value to the current risk score value and historical risk score value of the first enterprise, the current wind of affiliated enterprise
Dangerous score value is weighted summation, obtains target risk score value.
Fig. 9 is referred to, another embodiment of business risk grade assessment system includes in the embodiment of the present invention:
Unit 901 in the present embodiment is identical with the unit 801 in embodiment illustrated in fig. 8, and unit 902 is real with shown in Fig. 8
The unit 802 applied in example is identical, and unit 903 is identical with the unit 803 in embodiment illustrated in fig. 8, and unit 904 is real with shown in Fig. 8
The unit 804 applied in example is identical, and unit 905 is identical with the unit 805 in embodiment illustrated in fig. 8, and here is omitted.
First acquisition unit 906, for obtaining the risk class information of the first enterprise, risk class information includes the first enterprise
The risk class of industry;
Judging unit 907, for judging the risk class of the first enterprise whether higher than threshold value of warning;
Push unit 908, during for risk class higher than threshold value of warning, then by risk class information pushing to third party.
Figure 10 is referred to, another embodiment of business risk grade assessment system includes in the embodiment of the present invention:
Unit 1001 in the present embodiment is identical with the unit 901 in embodiment illustrated in fig. 9, shown in unit 1002 and Fig. 9
Unit 902 in embodiment is identical, and unit 1003 is identical with the unit 903 in embodiment illustrated in fig. 9, unit 1004 and Fig. 9 institutes
Show that the unit 904 in embodiment is identical, unit 1005 is identical with the unit 905 in embodiment illustrated in fig. 9, unit 1006 and Fig. 9
Unit 906 in illustrated embodiment is identical, and unit 1007 is identical with the unit 907 in embodiment illustrated in fig. 9, unit 1008 with figure
Unit 908 in 9 illustrated embodiments is identical, and here is omitted.
Second acquisition unit 1009, for obtaining third-party risk subscription information, risk subscription information includes the first enterprise
Enterprise's Back ground Information of industry;
In the present embodiment, first acquisition unit 1006 can be specifically for:
The risk class information of the first enterprise is obtained according to enterprise's Back ground Information.
In the present embodiment, risk subscription information can also include the information pushing cycle;First acquisition unit 1006, can be with
Specifically for:
According to the information pushing cycle, the risk class information of the first enterprise is obtained according to enterprise's Back ground Information.
In the present embodiment, push unit 1008, can further specifically for:
Risk-warning mission bit stream is generated according to risk class information;
Risk class information and Risk-warning mission bit stream are pushed to into tax system, or the corresponding work people of tax system
Member's account.
Further, in actual applications, as a example by the concerning taxes data source with tax system as enterprise, as shown in figure 11,
The business risk grade assessment system of the present invention can with tax system and third party with the docking that communicates carry out it is corresponding dispose, with
Intactly realize data acquisition, data assessment, the process of data transmission.Wherein:
Tax system:Refer to that the tax bureau is supplied to enterprise of paying taxes to carry out the service platform of web handling tax-related service, save
The concerning taxes data of each enterprise, are the concerning taxes data sources of business risk grade assessment system;
Risk class assessment system:Blame from tax system and gather the concerning taxes data of enterprise, and according to the concerning taxes data of enterprise,
The risk class index of enterprise is analyzed and determined, the risk class assessment and the push of risk class information of enterprise is realized;
Third party:Refer to bank and other financial mechanism system, it is also possible to including tax system, obtain the risk class information of enterprise
Afterwards, can carry out borrowing front or risk management after borrowing according to early warning information, or launch tax payment evaluation, tax revenue and check and the work such as anti-tax evasion
Make.
Those skilled in the art can be understood that, for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, may be referred to the corresponding process in preceding method embodiment, will not be described here.
In several embodiments provided herein, it should be understood that disclosed system, apparatus and method can be with
Realize by another way.For example, device embodiment described above is only schematic, for example, the unit
Divide, only a kind of division of logic function can have other dividing mode, such as multiple units or component when actually realizing
Can with reference to or be desirably integrated into another system, or some features can be ignored, or not perform.It is another, it is shown or
The coupling each other for discussing or direct-coupling or communication connection can be the indirect couplings by some interfaces, device or unit
Close or communicate to connect, can be electrical, mechanical or other forms.
The unit as separating component explanation can be or may not be it is physically separate, it is aobvious as unit
The part for showing can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can according to the actual needs be selected to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.Above-mentioned integrated list
Unit both can be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
If the integrated unit is realized using in the form of SFU software functional unit and as independent production marketing or used
When, during a computer read/write memory medium can be stored in.Based on such understanding, technical scheme is substantially
The part for contributing to prior art in other words or all or part of the technical scheme can be in the form of software products
Embody, the computer software product is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server, or network equipment etc.) performs the complete of each embodiment methods described of the invention
Portion or part steps.And aforesaid storage medium includes:USB flash disk, portable hard drive, read-only storage (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey
The medium of sequence code.
The above, above example only to illustrate technical scheme, rather than a limitation;Although with reference to front
State embodiment to be described in detail the present invention, it will be understood by those within the art that:It still can be to front
State the technical scheme described in each embodiment to modify, or equivalent is carried out to which part technical characteristic;And these
Modification is replaced, and does not make the spirit and scope of the essence disengaging various embodiments of the present invention technical scheme of appropriate technical solution.
Claims (14)
1. a kind of business risk grade appraisal procedure, it is characterised in that include:
Gather the current concerning taxes data of the first enterprise;
According to the concerning taxes data and default Risk Assessment Index System, the risk assessment index of first enterprise is determined;
The risk assessment index is calculated according to default risk evaluation model, obtains the current risk of first enterprise
Score value;
The risk class of first enterprise is determined according to the current risk score value.
2. business risk grade appraisal procedure according to claim 1, it is characterised in that described according to the current risk
Score value determines that the risk class of first enterprise includes:
The current risk score value of the current risk score value and historical risk score value of first enterprise, affiliated enterprise is weighted
Calculate, obtain target risk score value;
The risk class of first enterprise is determined according to the target risk score value;
Wherein, the historical risk score value is the historical risk assessments index determined by the history concerning taxes data of first enterprise
It is calculated, the current risk score value of the affiliated enterprise is true by the current concerning taxes data of the affiliated enterprise of first enterprise
Fixed risk assessment index is calculated.
3. business risk grade appraisal procedure according to claim 2, it is characterised in that described by first enterprise
Current risk score value and historical risk score value, the current risk score value of affiliated enterprise are weighted, and obtain target risk point
Value includes:
The current risk score value and historical risk score value of first enterprise, the current risk score value of affiliated enterprise are determined respectively
Default weighted value;
The current risk score value and historical risk of first enterprise, the affiliated enterprise are worked as according to the default weighted value
Front risk score value is weighted summation, obtains target risk score value.
4. business risk grade appraisal procedure according to claim 3, it is characterised in that the history wind of first enterprise
Dangerous score value includes:In at least one period before current time, first enterprise risky score value weighted calculation
Value.
5. business risk grade appraisal procedure according to any one of claim 1 to 4, it is characterised in that the basis
The concerning taxes data and default Risk Assessment Index System, determining the risk assessment index of first enterprise includes:
According to default Risk Assessment Index System, from the concerning taxes master data of the first enterprise described in the concerning taxes extracting data;
The risk assessment index of first enterprise is determined according to the concerning taxes master data.
6. business risk grade appraisal procedure according to claim 5, it is characterised in that the default risk evaluation model
It is the model or Logic Regression Models based on neural network algorithm.
7. business risk grade appraisal procedure according to claim 6, it is characterised in that methods described also includes:
The risk class information of first enterprise is obtained, the risk class information includes risk of first enterprise etc.
Level;
Judge the risk class of first enterprise whether higher than threshold value of warning;
If so, then by the risk class information pushing to third party.
8. business risk grade appraisal procedure according to claim 9, it is characterised in that methods described also includes:
The third-party risk subscription information is obtained, the risk subscription information includes enterprise's basis letter of first enterprise
Breath;
The risk class information for obtaining first enterprise includes:
The risk class information of first enterprise is obtained according to enterprise's Back ground Information.
9. business risk grade appraisal procedure according to claim 8, it is characterised in that the risk subscription information is also wrapped
Include the information pushing cycle;
Included according to the risk class information that enterprise's Back ground Information obtains first enterprise:
The cycle is pushed according to described information, the risk class information of first enterprise is obtained according to enterprise's Back ground Information.
10. the business risk grade appraisal procedure according to any one of claim 7 to 9, it is characterised in that if described
Tripartite is the tax system, described to include the risk class information pushing to third party:
Risk-warning mission bit stream is generated according to the risk class information;
The risk class information and the Risk-warning mission bit stream are pushed to into the tax system, or the tax system
Corresponding staff's account.
A kind of 11. systems of the business risk grade appraisal procedure realized as described in any one of claim 1 to 10, its feature exists
In, including:
Collecting unit, the concerning taxes data current for gathering the first enterprise;
First determining unit, for according to the concerning taxes data and default Risk Assessment Index System, determining first enterprise
Risk assessment index;
Computing unit, for calculating the risk assessment index according to default risk evaluation model, obtains described first
The current risk score value of enterprise;
Second determining unit, for determining the risk class of first enterprise according to the current risk score value.
12. business risk grade assessment systems according to claim 11, it is characterised in that described device also includes:
First acquisition unit, for obtaining the risk class information of first enterprise, the risk class information includes described
The risk class of the first enterprise;
Judging unit, for judging the risk class of first enterprise whether higher than threshold value of warning;
Push unit, for when the risk class be higher than the threshold value of warning when, then by the risk class information pushing extremely
Third party.
13. business risk grade assessment systems according to claim 12, it is characterised in that described device also includes:
Second acquisition unit, for obtaining the third-party risk subscription information, the risk subscription information includes described the
Enterprise's Back ground Information of one enterprise;
The first acquisition unit, specifically for:
The risk class information of first enterprise is obtained according to enterprise's Back ground Information.
14. business risk grade assessment systems according to claim 13, it is characterised in that the risk subscription information is also
Including the information pushing cycle;
First acquisition unit, also particularly useful for:
The cycle is pushed according to described information, the risk class information of first enterprise is obtained according to enterprise's Back ground Information.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611238906.2A CN106651190A (en) | 2016-12-28 | 2016-12-28 | Enterprise risk level assessment method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611238906.2A CN106651190A (en) | 2016-12-28 | 2016-12-28 | Enterprise risk level assessment method and system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106651190A true CN106651190A (en) | 2017-05-10 |
Family
ID=58836837
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611238906.2A Pending CN106651190A (en) | 2016-12-28 | 2016-12-28 | Enterprise risk level assessment method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106651190A (en) |
Cited By (43)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107527212A (en) * | 2017-08-16 | 2017-12-29 | 无锡企业征信有限公司 | Business standing dynamic grading system and method |
CN107895318A (en) * | 2017-11-06 | 2018-04-10 | 广州中软信息技术有限公司 | State's land tax corporate management system |
CN108053120A (en) * | 2017-12-15 | 2018-05-18 | 阿里巴巴集团控股有限公司 | A kind of model integration method and device |
CN108230143A (en) * | 2018-02-05 | 2018-06-29 | 深圳微众税银信息服务有限公司 | Data report generation method and system after a kind of loan |
CN108537673A (en) * | 2018-04-16 | 2018-09-14 | 新疆润物网络有限公司 | One kind is based on import documents availability of data chain financing assessment system and method |
CN108647818A (en) * | 2018-05-08 | 2018-10-12 | 山东浪潮通软信息科技有限公司 | A kind of method and device of prediction enterprise concerning taxes risk |
CN108961032A (en) * | 2017-05-25 | 2018-12-07 | 腾讯科技(深圳)有限公司 | Borrow or lend money processing method, device and server |
CN109165868A (en) * | 2018-09-14 | 2019-01-08 | 山东浪潮通软信息科技有限公司 | A kind of risk monitoring and control model established based on historical data |
CN109189821A (en) * | 2018-08-01 | 2019-01-11 | 成都数联铭品科技有限公司 | Data analysis system based on affiliated party's index system |
CN109308568A (en) * | 2018-08-16 | 2019-02-05 | 深圳瑞力网科技有限公司 | Intellectual property evaluation system and method based on big data |
CN109377050A (en) * | 2018-10-24 | 2019-02-22 | 江苏税软软件科技有限公司 | One kind being based on risk analysis and AI artificial intelligence model risk analysis method |
CN109657887A (en) * | 2017-10-10 | 2019-04-19 | 爱信诺征信有限公司 | A kind of enterprise operation health Evaluation method and system |
CN109685356A (en) * | 2018-12-19 | 2019-04-26 | 泰华智慧产业集团股份有限公司 | Method for early warning and system based on industry data |
CN109948870A (en) * | 2017-12-20 | 2019-06-28 | 联易软件有限公司 | Food safety risk grade determines method and device |
WO2019140849A1 (en) * | 2018-01-19 | 2019-07-25 | 平安科技(深圳)有限公司 | Client risk rating method, server and computer-readable storage medium |
CN110119862A (en) * | 2018-02-07 | 2019-08-13 | 中国石油化工股份有限公司 | Based on enterprise it is external enter factory personnel smoke danger classes diagnostic method |
CN110222971A (en) * | 2019-05-30 | 2019-09-10 | 贝壳技术有限公司 | It is a kind of to be classified the method and device for improving trading efficiency based on trading card |
CN110443458A (en) * | 2019-07-05 | 2019-11-12 | 深圳壹账通智能科技有限公司 | Methods of risk assessment, device, computer equipment and storage medium |
CN110443489A (en) * | 2019-07-31 | 2019-11-12 | 北京明略软件***有限公司 | Acquisition methods and device, storage medium, the electronic device of target industry |
CN111191921A (en) * | 2019-12-27 | 2020-05-22 | 安徽科讯金服科技有限公司 | Small and micro enterprise operation condition wind control analysis system |
CN111210323A (en) * | 2019-12-26 | 2020-05-29 | 大象慧云信息技术有限公司 | Enterprise tax risk monitoring method and system |
CN111222968A (en) * | 2019-12-26 | 2020-06-02 | 大象慧云信息技术有限公司 | Enterprise tax risk management and control method and system |
CN111241161A (en) * | 2020-01-16 | 2020-06-05 | 深圳壹账通智能科技有限公司 | Invoice information mining method and device, computer equipment and storage medium |
CN111401778A (en) * | 2020-03-31 | 2020-07-10 | 天津市商务局(天津市人民政府口岸服务办公室) | Port enterprise evaluation method and device and storage medium |
CN111401798A (en) * | 2020-06-02 | 2020-07-10 | 南京百敖软件有限公司 | Enterprise waste escaping and debt risk early warning system and construction method |
CN111459961A (en) * | 2020-03-31 | 2020-07-28 | 深圳前海微众银行股份有限公司 | Method, device and equipment for updating service data and storage medium |
CN111461524A (en) * | 2020-03-30 | 2020-07-28 | 上海交通大学 | Judicial agency reputation evaluation method, system, equipment and storage medium |
CN111507822A (en) * | 2020-04-13 | 2020-08-07 | 深圳微众信用科技股份有限公司 | Enterprise risk assessment method based on feature engineering |
CN111724007A (en) * | 2019-03-18 | 2020-09-29 | 马上消费金融股份有限公司 | Risk evaluation method, evaluation device, intelligent system and storage device |
CN111798246A (en) * | 2020-07-16 | 2020-10-20 | 中国工商银行股份有限公司 | Financial risk grade assessment method and device |
CN111950889A (en) * | 2020-08-10 | 2020-11-17 | 中国平安人寿保险股份有限公司 | Client risk assessment method and device, readable storage medium and terminal equipment |
CN112070406A (en) * | 2020-09-11 | 2020-12-11 | 国网北京市电力公司 | Equipment risk processing method and device for power transmission equipment and electronic device |
CN112085328A (en) * | 2020-08-03 | 2020-12-15 | 北京贝壳时代网络科技有限公司 | Risk assessment method, system, electronic device and storage medium |
TWI719246B (en) * | 2017-08-29 | 2021-02-21 | 彰化商業銀行股份有限公司 | Enterprise customer intelligent risk control system |
CN112668947A (en) * | 2021-01-28 | 2021-04-16 | 天元大数据信用管理有限公司 | Enterprise credit risk early warning method and system based on tax data |
CN112926864A (en) * | 2021-03-05 | 2021-06-08 | 浪潮云信息技术股份公司 | Configuration-based risk assessment method and system |
CN112990369A (en) * | 2021-04-26 | 2021-06-18 | 四川新网银行股份有限公司 | Social network-based method and system for identifying waste escaping and debt behaviors |
CN113205271A (en) * | 2021-05-12 | 2021-08-03 | 国家税务总局山东省税务局 | Method for evaluating enterprise income tax risk based on machine learning |
CN113379277A (en) * | 2021-06-23 | 2021-09-10 | 北京同创永益科技发展有限公司 | Comprehensive evaluation method for service provider, computing device and storage medium |
CN113435723A (en) * | 2021-06-18 | 2021-09-24 | 广州房者荣耀网络科技有限公司 | Data processing method, system, device and medium for risk assessment |
CN113870001A (en) * | 2021-08-26 | 2021-12-31 | 深圳微众信用科技股份有限公司 | Credit task scheduling processing method, device, equipment and medium |
CN114820169A (en) * | 2022-05-05 | 2022-07-29 | 尚班(北京)网络科技有限公司 | Data service processing system and method for financial business |
CN115578007A (en) * | 2022-10-12 | 2023-01-06 | 南京数聚科技有限公司 | Method and system for integrating calculation of points and task in tax industry |
-
2016
- 2016-12-28 CN CN201611238906.2A patent/CN106651190A/en active Pending
Cited By (45)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108961032A (en) * | 2017-05-25 | 2018-12-07 | 腾讯科技(深圳)有限公司 | Borrow or lend money processing method, device and server |
CN107527212A (en) * | 2017-08-16 | 2017-12-29 | 无锡企业征信有限公司 | Business standing dynamic grading system and method |
TWI719246B (en) * | 2017-08-29 | 2021-02-21 | 彰化商業銀行股份有限公司 | Enterprise customer intelligent risk control system |
CN109657887A (en) * | 2017-10-10 | 2019-04-19 | 爱信诺征信有限公司 | A kind of enterprise operation health Evaluation method and system |
CN107895318A (en) * | 2017-11-06 | 2018-04-10 | 广州中软信息技术有限公司 | State's land tax corporate management system |
CN108053120A (en) * | 2017-12-15 | 2018-05-18 | 阿里巴巴集团控股有限公司 | A kind of model integration method and device |
CN109948870A (en) * | 2017-12-20 | 2019-06-28 | 联易软件有限公司 | Food safety risk grade determines method and device |
WO2019140849A1 (en) * | 2018-01-19 | 2019-07-25 | 平安科技(深圳)有限公司 | Client risk rating method, server and computer-readable storage medium |
CN108230143A (en) * | 2018-02-05 | 2018-06-29 | 深圳微众税银信息服务有限公司 | Data report generation method and system after a kind of loan |
CN110119862A (en) * | 2018-02-07 | 2019-08-13 | 中国石油化工股份有限公司 | Based on enterprise it is external enter factory personnel smoke danger classes diagnostic method |
CN108537673A (en) * | 2018-04-16 | 2018-09-14 | 新疆润物网络有限公司 | One kind is based on import documents availability of data chain financing assessment system and method |
CN108647818A (en) * | 2018-05-08 | 2018-10-12 | 山东浪潮通软信息科技有限公司 | A kind of method and device of prediction enterprise concerning taxes risk |
CN109189821A (en) * | 2018-08-01 | 2019-01-11 | 成都数联铭品科技有限公司 | Data analysis system based on affiliated party's index system |
CN109308568A (en) * | 2018-08-16 | 2019-02-05 | 深圳瑞力网科技有限公司 | Intellectual property evaluation system and method based on big data |
CN109165868A (en) * | 2018-09-14 | 2019-01-08 | 山东浪潮通软信息科技有限公司 | A kind of risk monitoring and control model established based on historical data |
CN109377050A (en) * | 2018-10-24 | 2019-02-22 | 江苏税软软件科技有限公司 | One kind being based on risk analysis and AI artificial intelligence model risk analysis method |
CN109685356A (en) * | 2018-12-19 | 2019-04-26 | 泰华智慧产业集团股份有限公司 | Method for early warning and system based on industry data |
CN111724007A (en) * | 2019-03-18 | 2020-09-29 | 马上消费金融股份有限公司 | Risk evaluation method, evaluation device, intelligent system and storage device |
CN111724007B (en) * | 2019-03-18 | 2022-12-06 | 马上消费金融股份有限公司 | Risk evaluation method, evaluation device, intelligent system and storage device |
CN110222971A (en) * | 2019-05-30 | 2019-09-10 | 贝壳技术有限公司 | It is a kind of to be classified the method and device for improving trading efficiency based on trading card |
CN110443458A (en) * | 2019-07-05 | 2019-11-12 | 深圳壹账通智能科技有限公司 | Methods of risk assessment, device, computer equipment and storage medium |
CN110443489A (en) * | 2019-07-31 | 2019-11-12 | 北京明略软件***有限公司 | Acquisition methods and device, storage medium, the electronic device of target industry |
CN111222968A (en) * | 2019-12-26 | 2020-06-02 | 大象慧云信息技术有限公司 | Enterprise tax risk management and control method and system |
CN111210323A (en) * | 2019-12-26 | 2020-05-29 | 大象慧云信息技术有限公司 | Enterprise tax risk monitoring method and system |
CN111191921A (en) * | 2019-12-27 | 2020-05-22 | 安徽科讯金服科技有限公司 | Small and micro enterprise operation condition wind control analysis system |
CN111241161A (en) * | 2020-01-16 | 2020-06-05 | 深圳壹账通智能科技有限公司 | Invoice information mining method and device, computer equipment and storage medium |
CN111461524A (en) * | 2020-03-30 | 2020-07-28 | 上海交通大学 | Judicial agency reputation evaluation method, system, equipment and storage medium |
CN111401778A (en) * | 2020-03-31 | 2020-07-10 | 天津市商务局(天津市人民政府口岸服务办公室) | Port enterprise evaluation method and device and storage medium |
CN111459961A (en) * | 2020-03-31 | 2020-07-28 | 深圳前海微众银行股份有限公司 | Method, device and equipment for updating service data and storage medium |
CN111507822A (en) * | 2020-04-13 | 2020-08-07 | 深圳微众信用科技股份有限公司 | Enterprise risk assessment method based on feature engineering |
CN111401798A (en) * | 2020-06-02 | 2020-07-10 | 南京百敖软件有限公司 | Enterprise waste escaping and debt risk early warning system and construction method |
CN111798246A (en) * | 2020-07-16 | 2020-10-20 | 中国工商银行股份有限公司 | Financial risk grade assessment method and device |
CN112085328B (en) * | 2020-08-03 | 2024-05-24 | 北京贝壳时代网络科技有限公司 | Risk assessment method, system, electronic equipment and storage medium |
CN112085328A (en) * | 2020-08-03 | 2020-12-15 | 北京贝壳时代网络科技有限公司 | Risk assessment method, system, electronic device and storage medium |
CN111950889A (en) * | 2020-08-10 | 2020-11-17 | 中国平安人寿保险股份有限公司 | Client risk assessment method and device, readable storage medium and terminal equipment |
CN112070406A (en) * | 2020-09-11 | 2020-12-11 | 国网北京市电力公司 | Equipment risk processing method and device for power transmission equipment and electronic device |
CN112668947A (en) * | 2021-01-28 | 2021-04-16 | 天元大数据信用管理有限公司 | Enterprise credit risk early warning method and system based on tax data |
CN112926864A (en) * | 2021-03-05 | 2021-06-08 | 浪潮云信息技术股份公司 | Configuration-based risk assessment method and system |
CN112990369A (en) * | 2021-04-26 | 2021-06-18 | 四川新网银行股份有限公司 | Social network-based method and system for identifying waste escaping and debt behaviors |
CN113205271A (en) * | 2021-05-12 | 2021-08-03 | 国家税务总局山东省税务局 | Method for evaluating enterprise income tax risk based on machine learning |
CN113435723A (en) * | 2021-06-18 | 2021-09-24 | 广州房者荣耀网络科技有限公司 | Data processing method, system, device and medium for risk assessment |
CN113379277A (en) * | 2021-06-23 | 2021-09-10 | 北京同创永益科技发展有限公司 | Comprehensive evaluation method for service provider, computing device and storage medium |
CN113870001A (en) * | 2021-08-26 | 2021-12-31 | 深圳微众信用科技股份有限公司 | Credit task scheduling processing method, device, equipment and medium |
CN114820169A (en) * | 2022-05-05 | 2022-07-29 | 尚班(北京)网络科技有限公司 | Data service processing system and method for financial business |
CN115578007A (en) * | 2022-10-12 | 2023-01-06 | 南京数聚科技有限公司 | Method and system for integrating calculation of points and task in tax industry |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106651190A (en) | Enterprise risk level assessment method and system | |
Romney et al. | Accounting Information Systems Australasian Edition | |
Renaldo et al. | Internal control system analysis on accounts receivable in SP corporation | |
CN115239487A (en) | Asset transaction method and system with carbon neutralization attribute mark | |
CN112633780B (en) | Method for processing carbon resource based on climate chain, related device and storage medium | |
CN110033159A (en) | Risk Identification Method, device and equipment | |
CN111754116B (en) | Credit evaluation method and device based on label portrait technology | |
Shin et al. | Implementation of the continuous auditing system in the ERP‐based environment | |
Budianto et al. | Non Performing Financing (NPF) on Islamic and Conventional Banking: Mapping Research Topics using VOSviewer Bibliometric and Library Research | |
Flögel et al. | Will FinTech make regional banks superfluous for small firm finance? Observations from soft information‐based lending in Germany | |
CN109740792A (en) | Data predication method, system, terminal and computer storage medium | |
CN105260933A (en) | Loan appraisal method for inclusive finance | |
CN110796539A (en) | Credit investigation evaluation method and device | |
CN109087019A (en) | A kind of medium-sized and small enterprises reference method and device | |
CN109118094A (en) | A kind of enterprises service application system based on credit system | |
Yangibayevich et al. | Research on economic security of commercial banks | |
CN113469818B (en) | Investment risk early warning method and device, electronic equipment and computer readable medium | |
Bao et al. | Throwing good money after bad: Risk mitigation strategies in the P2P Lending platforms | |
Dai et al. | Audit analytics: A field study of credit card after-sale service problem detection at a major bank | |
CN109508947A (en) | A kind of electric contract operation method and system based on credit system | |
CN113674075A (en) | Method for credit rating of enterprise debt financing tool | |
Geitangi | The relationship between credit risk management practices and the performance of loan portfolio of commercial banks in Kenya | |
Madison et al. | Bank mergers and insider nontrading | |
CN113724068A (en) | Method for constructing debtor decision strategy based on knowledge graph and related equipment | |
Kaur et al. | Adoption Potential and Challenges of Artificial Intelligence in Banking |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB02 | Change of applicant information | ||
CB02 | Change of applicant information |
Address after: Guangdong Nanshan District street of Shenzhen city in Guangdong province 518000 Shenzhen international software park a 8 Building 202 room Applicant after: Shenzhen Weizhong credit Technology Co., Ltd Address before: Guangdong Nanshan District street of Shenzhen city in Guangdong province 518000 Shenzhen international software park a 8 Building 202 room Applicant before: Shenzhen micro tax silver Information Service Co., Ltd. |
|
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170510 |