CN109190886B - Method and device for evaluating risk of client in enterprise - Google Patents
Method and device for evaluating risk of client in enterprise Download PDFInfo
- Publication number
- CN109190886B CN109190886B CN201810837730.5A CN201810837730A CN109190886B CN 109190886 B CN109190886 B CN 109190886B CN 201810837730 A CN201810837730 A CN 201810837730A CN 109190886 B CN109190886 B CN 109190886B
- Authority
- CN
- China
- Prior art keywords
- client
- risk level
- progress
- public opinion
- enterprise
- 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.)
- Active
Links
Images
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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the invention discloses a method and a device for evaluating the risk of a client in an enterprise, which can improve the accuracy of evaluating the risk of the client in the enterprise. The method comprises the following steps: s1, acquiring public opinion information of each client in an enterprise, and determining the public opinion grade of each client according to the public opinion information; s2, acquiring consumption data of each client, and determining the loss risk level of each client according to the consumption data; and S3, determining the risk level of each client according to the public opinion level and the attrition risk level.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a method and a device for evaluating client risks in an enterprise.
Background
The risk management of the enterprise has important significance for the future development of the enterprise, and the risk assessment of each client of the enterprise is needed firstly when the risk management of the enterprise is carried out.
At present, most of methods for risk assessment aiming at clients are based on some social public credit system data, and cannot be comprehensively combined with enterprise business to obtain data one-sidedly, so that the accuracy of risk assessment results is low.
Disclosure of Invention
Aiming at the defects and shortcomings of the prior art, the embodiment of the invention provides a method and a device for evaluating the risk of a client in an enterprise.
On one hand, the embodiment of the invention provides a method for evaluating the risk of a client in an enterprise, which comprises the following steps:
s1, acquiring public opinion information of each client in an enterprise, and determining the public opinion grade of each client according to the public opinion information;
s2, acquiring consumption data of each client, and determining the loss risk level of each client according to the consumption data;
and S3, determining the risk level of each client according to the public opinion level and the attrition risk level.
On the other hand, an embodiment of the present invention provides an apparatus for assessing risk of a client in an enterprise, including:
the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring public opinion information of each client in an enterprise and determining the public opinion grade of each client according to the public opinion information;
the second acquisition unit is used for acquiring consumption data of each client and determining the loss risk level of each client according to the consumption data;
and the assessment unit is used for determining the risk level of each client according to the public opinion level and the loss risk level.
In a third aspect, an embodiment of the present invention provides an electronic device, including: a processor, a memory, a bus, and a computer program stored on the memory and executable on the processor;
the processor and the memory complete mutual communication through the bus;
the processor, when executing the computer program, implements the method described above.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the above method.
The method and the device for evaluating the risk of the client in the enterprise provided by the embodiment of the invention comprise the steps of firstly obtaining the public opinion information of each client in the enterprise, and determining the public opinion grade of each client according to the public opinion information; then acquiring consumption data of each client, and determining the loss risk grade of each client according to the consumption data; and finally, determining the risk level of each client according to the public opinion level and the loss risk level, and compared with the prior art of carrying out enterprise client risk assessment by only utilizing the social public credit system data, the embodiment of the invention assesses the risk level of the client according to the public opinion information and the consumption data, and the risk assessment process can be comprehensively combined with enterprise business, thereby improving the accuracy of the risk assessment of the client in the enterprise.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for risk assessment of an enterprise internal customer according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an embodiment of an apparatus for risk assessment of internal clients of an enterprise according to the present invention;
fig. 3 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments, but not all embodiments, of the present invention. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without any creative effort belong to the protection scope of the embodiments of the present invention.
Referring to fig. 1, the present embodiment discloses a method for assessing risk of a client in an enterprise, including:
s1, acquiring public opinion information of each client in an enterprise, and determining the public opinion grade of each client according to the public opinion information;
in this embodiment, the public opinion information of the client includes industrial and commercial credit data, enterprise client information, client news, enterprise reports, national policy information, and the like.
S2, acquiring consumption data of each client, and determining the loss risk level of each client according to the consumption data;
and S3, determining the risk level of each client according to the public opinion level and the attrition risk level.
The method for evaluating the risk of the client in the enterprise comprises the steps of firstly obtaining public opinion information of each client in the enterprise, and determining the public opinion grade of each client according to the public opinion information; then acquiring consumption data of each client, and determining the loss risk grade of each client according to the consumption data; and finally, determining the risk level of each client according to the public opinion level and the loss risk level, and compared with the prior art of carrying out enterprise client risk assessment by only utilizing the social public credit system data, the embodiment of the invention assesses the risk level of the client according to the public opinion information and the consumption data, and the risk assessment process can be comprehensively combined with enterprise business, thereby improving the accuracy of the risk assessment of the client in the enterprise.
On the basis of the foregoing method embodiment, the S1 may include:
crawling the public opinion information through a web crawler, classifying the public opinion information by utilizing an NLP (non-line segment) natural language processing system, and grading according to the result of information classification to obtain the public opinion grade.
On the basis of the foregoing method embodiment, the consumption data may include: progress, frequency and amount;
wherein, the S2 may include:
calculating a progress scoring standard according to the progress of each client, calculating a frequency scoring standard according to the frequency of each client, and calculating an amount scoring standard according to the amount of each client;
for each client, respectively utilizing the progress scoring standard, the frequency scoring standard and the limit scoring standard to score the progress, the frequency and the limit of the client;
for each client, determining the loss risk level of the client by inquiring a preset loss risk level table, wherein at least one record is stored in the loss risk level table, and each record comprises a progress scoring result, a frequency scoring result, a quota scoring result and a loss risk level field.
In this embodiment, the progress refers to the time recently consumed to the present; the frequency refers to the number of consumption times in the latest period of time; quota refers to a quota that was consumed in the last period of time. Calculating the progress scoring standard, the frequency scoring standard and the limit scoring standard according to the progress, the frequency and the limit of each client of the enterprise respectively, wherein the progress scoring standard can be an average value, a median value or a value corrected by a standard deviation of the progress of each client of the enterprise; the frequency scoring standard can be the average value, the median or the value corrected by the standard deviation of the frequency of each client of the enterprise; the credit rating standard can be the average value, the median value or the corrected value with standard deviation of the credit of each client of the enterprise. At this time, for each customer, when the progress of the customer is less than or equal to the progress scoring criterion, the scoring result of the progress of the customer may be determined as 1, and when the progress of the customer is greater than the progress scoring criterion, the scoring result of the progress of the customer may be determined as 0; when the frequency of the client is greater than the frequency scoring criterion, the scoring result of the frequency of the client may be determined as 1, and when the frequency of the client is less than or equal to the frequency scoring criterion, the scoring result of the frequency of the client may be determined as 0; when the client's quota is greater than the quota scoring standard, the scoring result of the client's quota may be determined as 1, and when the client's quota is less than or equal to the quota scoring standard, the scoring result of the client's quota may be determined as 0.
In addition, it should be noted that the progress scoring criteria may be determined by other means, such as an average value, a median value, or a value corrected by a standard deviation of the progress of each client of the enterprise. For example, when determining the progress scoring standard, the progress of each client of the enterprise may be scored, and the scoring method includes: setting a first time threshold, a second time threshold, a third time threshold and a fourth time threshold (the first time threshold < the second time threshold < the third time threshold < the fourth time threshold, for example, the first time threshold, the second time threshold, the third time threshold and the fourth time threshold take values of 20 days, 60 days, 100 days and 200 days, respectively); for each client, judging which of four intervals, namely (0, a first time threshold value), [ a first time threshold value, a second time threshold value), [ a second time threshold value, a third time threshold value), [ a third time threshold value, a fourth time threshold value), [ a fourth time threshold value, and positive infinity), the client determines the progress scoring result of the client by inquiring a preset progress scoring table after determining the interval to which the client's progress belongs, wherein the progress scoring table is shown in the following table 1.
TABLE 1
| Score value | Section to which progress belongs |
| First score | (0, first time threshold) |
| Second fraction | [ first time threshold, second time threshold) |
| Third fraction value | [ second time threshold, third time threshold) |
| Fourth score value | [ third time threshold, fourth time threshold ] |
| Fifth fraction value | [ fourth time threshold, positive infinity) |
The first score, the second score, the third score, the fourth score and the fifth score in table 1 may be 5, 4, 3, 2 and 1, respectively.
The method for determining the progress scoring result of the client is to query a progress scoring table, and determine the score contained in the record, in which the interval to which the progress belongs is consistent with the interval to which the progress belongs, contained in the progress scoring table as the progress scoring result of the client.
After the progress scoring results of the clients are determined, the progress scoring standards can be calculated by imitating the calculation method of the frequency scoring standards and the limit scoring standards, and the difference is that the progress scoring standards are calculated according to the progress scoring results of the clients during calculation. After the progress scoring standard is determined, the progress of each client can be scored according to the frequency and limit scoring method, and the method comprises the following steps: for each client, judging whether the progress scoring result of the client is greater than the progress scoring standard or not; when the progress score result of the customer is greater than the progress score standard, the progress score result of the customer may be determined to be 1, and when the progress score result of the customer is less than or equal to the progress score standard, the progress score result of the customer may be determined to be 0.
For each client, when the loss risk level of the client is determined by table lookup, the value of the loss risk level field contained in the record of which the value of the progress scoring result field, the value of the frequency scoring result field and the value of the quota scoring result field are respectively the same as the value of the progress scoring result, the frequency scoring result and the quota scoring result of the client is the loss risk level of the client. When the score result of the progress, the score result of the frequency and the score result of the quota of each client take values of 1 or 0, the loss risk rating table may be as shown in table 2 below.
TABLE 2
The correspondence between the attrition risk level and the customer importance level type and the user behavior is shown in table 3 below.
TABLE 3
As shown in table 3, the higher the churn risk level, the more important the customer; otherwise, it means that the customer is less important.
Based on the foregoing method embodiment, for each client, the risk level of the client may be the result of weighted summation of the public opinion level and the loss risk level of the client.
In this embodiment, the weights of the public opinion level and the loss risk level may be adjusted according to actual conditions of the enterprise and the industry. After the risk level of each client is determined, different emergency strategies can be made according to different risk levels, so that risk management of enterprises is facilitated.
Referring to fig. 2, the present embodiment discloses an apparatus for assessing risk of a client in an enterprise, comprising:
the system comprises a first acquisition unit 1, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring public opinion information of each client in an enterprise and determining the public opinion grade of each client according to the public opinion information;
the second obtaining unit 2 is used for obtaining consumption data of each client and determining the loss risk level of each client according to the consumption data;
and the evaluation unit 3 is used for determining the risk level of each client according to the public opinion level and the loss risk level.
Specifically, the first obtaining unit 1 obtains public opinion information of each client in an enterprise, and determines a public opinion grade of each client according to the public opinion information; the second obtaining unit 2 obtains the consumption data of each client, and determines the loss risk level of each client according to the consumption data; and the assessment unit 3 is used for determining the risk level of each client according to the public opinion level and the loss risk level.
The device for evaluating the risk of the client in the enterprise, provided by the embodiment of the invention, comprises the following steps of firstly obtaining the public opinion information of each client in the enterprise, and determining the public opinion grade of each client according to the public opinion information; then acquiring consumption data of each client, and determining the loss risk grade of each client according to the consumption data; and finally, determining the risk level of each client according to the public opinion level and the loss risk level, and compared with the prior art of carrying out enterprise client risk assessment by only utilizing the social public credit system data, the embodiment of the invention assesses the risk level of the client according to the public opinion information and the consumption data, and the risk assessment process can be comprehensively combined with enterprise business, thereby improving the accuracy of the risk assessment of the client in the enterprise.
On the basis of the foregoing device embodiment, the first obtaining unit is specifically configured to:
crawling the public opinion information through a web crawler, classifying the public opinion information by utilizing an NLP (non-line segment) natural language processing system, and grading according to the result of information classification to obtain the public opinion grade.
On the basis of the foregoing device embodiment, the consumption data may include: progress, frequency and amount;
the second obtaining unit may be specifically configured to:
calculating a progress scoring standard according to the progress of each client, calculating a frequency scoring standard according to the frequency of each client, and calculating an amount scoring standard according to the amount of each client;
for each client, respectively utilizing the progress scoring standard, the frequency scoring standard and the limit scoring standard to score the progress, the frequency and the limit of the client;
for each client, determining the loss risk level of the client by inquiring a preset loss risk level table, wherein at least one record is stored in the loss risk level table, and each record can comprise a progress scoring result, a frequency scoring result, a quota scoring result and a loss risk level field.
Based on the foregoing device embodiment, for each client, the risk level of the client may be the result of weighted summation of the public opinion level and the loss risk level of the client.
The device for assessing risk of an enterprise internal client according to this embodiment may be configured to execute the technical solution of the foregoing method embodiment, and the implementation principle and the technical effect are similar, which are not described herein again.
Fig. 3 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the electronic device may include: a processor 11, a memory 12, a bus 13, and a computer program stored on the memory 12 and executable on the processor 11;
the processor 11 and the memory 12 complete mutual communication through the bus 13;
when the processor 11 executes the computer program, the method provided by the foregoing method embodiments is implemented, for example, including: the method comprises the steps of obtaining public opinion information of each client in an enterprise, and determining the public opinion grade of each client according to the public opinion information; acquiring consumption data of each client, and determining the loss risk grade of each client according to the consumption data; and determining the risk level of each client according to the public opinion level and the loss risk level.
An embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method provided by the foregoing method embodiments, and for example, the method includes: the method comprises the steps of obtaining public opinion information of each client in an enterprise, and determining the public opinion grade of each client according to the public opinion information; acquiring consumption data of each client, and determining the loss risk grade of each client according to the consumption data; and determining the risk level of each client according to the public opinion level and the loss risk level.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. The terms "upper", "lower", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are intended to be inclusive and mean, for example, that they may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description of the present invention, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description. Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention is not limited to any single aspect, nor is it limited to any single embodiment, nor is it limited to any combination and/or permutation of these aspects and/or embodiments. Moreover, each aspect and/or embodiment of the present invention may be utilized alone or in combination with one or more other aspects and/or embodiments thereof.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (6)
1. A method for intra-enterprise customer risk assessment, comprising:
s1, crawling public opinion information of each client in an enterprise through a web crawler, classifying the public opinion information by using an NLP (non line segment) natural language processing system, and classifying according to the information classification result to obtain the public opinion grades of each client, wherein the public opinion information of the clients comprises industrial and commercial credit data, enterprise client information, client news, enterprise reports and national policy information;
s2, acquiring consumption data of each client, and determining the loss risk level of each client according to the consumption data;
s3, determining the risk level of each client according to the public opinion level and the loss risk level;
the consumption data, comprising: progress, frequency and amount;
wherein the S2 includes:
calculating a progress scoring standard according to the progress of each client, calculating a frequency scoring standard according to the frequency of each client, and calculating an amount scoring standard according to the amount of each client;
for each client, respectively utilizing the progress scoring standard, the frequency scoring standard and the limit scoring standard to score the progress, the frequency and the limit of the client;
for each client, determining the loss risk level of the client by inquiring a preset loss risk level table, wherein at least one record is stored in the loss risk level table, and each record comprises a progress scoring result, a frequency scoring result, a quota scoring result and a loss risk level field.
2. The method of claim 1, wherein for each client, the risk level of the client is a weighted sum of the public opinion level and the attrition risk level of the client.
3. An apparatus for intra-enterprise customer risk assessment, comprising:
the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for crawling public opinion information of each client in an enterprise through a web crawler, classifying the public opinion information by using an NLP (non line segment) natural language processing system, and classifying according to the information classification result to obtain the public opinion grades of each client, and the public opinion information of the clients comprises industrial and commercial credit data, enterprise client information, client news, enterprise reports and national policy information;
the second acquisition unit is used for acquiring consumption data of each client and determining the loss risk level of each client according to the consumption data;
the assessment unit is used for determining the risk level of each client according to the public opinion level and the loss risk level;
the consumption data, comprising: progress, frequency and amount;
the second obtaining unit is specifically configured to:
calculating a progress scoring standard according to the progress of each client, calculating a frequency scoring standard according to the frequency of each client, and calculating an amount scoring standard according to the amount of each client;
for each client, respectively utilizing the progress scoring standard, the frequency scoring standard and the limit scoring standard to score the progress, the frequency and the limit of the client;
for each client, determining the loss risk level of the client by inquiring a preset loss risk level table, wherein at least one record is stored in the loss risk level table, and each record comprises a progress scoring result, a frequency scoring result, a quota scoring result and a loss risk level field.
4. The apparatus of claim 3, wherein for each client, the risk level of the client is a weighted sum of the public opinion level and the attrition risk level of the client.
5. An electronic device, comprising: a processor, a memory, a bus, and a computer program stored on the memory and executable on the processor;
the processor and the memory complete mutual communication through the bus;
the processor, when executing the computer program, implements the method of any of claims 1-2.
6. A non-transitory computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, implements the method of any one of claims 1-2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810837730.5A CN109190886B (en) | 2018-07-26 | 2018-07-26 | Method and device for evaluating risk of client in enterprise |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810837730.5A CN109190886B (en) | 2018-07-26 | 2018-07-26 | Method and device for evaluating risk of client in enterprise |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109190886A CN109190886A (en) | 2019-01-11 |
| CN109190886B true CN109190886B (en) | 2021-06-01 |
Family
ID=64937055
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810837730.5A Active CN109190886B (en) | 2018-07-26 | 2018-07-26 | Method and device for evaluating risk of client in enterprise |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109190886B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109978342A (en) * | 2019-03-01 | 2019-07-05 | 平安科技（深圳）有限公司 | Electronic device, methods of risk assessment and computer readable storage medium |
-
2018
- 2018-07-26 CN CN201810837730.5A patent/CN109190886B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN109190886A (en) | 2019-01-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106952159B (en) | Real estate collateral risk control method, system and storage medium | |
| CN108460689B (en) | Policy analysis method and device, terminal equipment and storage medium | |
| CN111967976A (en) | Risk enterprise determination method and device based on knowledge graph | |
| CN106878316B (en) | Risk quantification method and device | |
| CN112783100A (en) | Memory, chemical enterprise safety production risk early warning method, equipment and device | |
| CN109190886B (en) | Method and device for evaluating risk of client in enterprise | |
| CN111369344A (en) | Method and device for dynamically generating early warning rule | |
| CN105160036B (en) | A kind of enterprise's non-silver information query method | |
| CN112488843A (en) | Enterprise risk early warning method, device, equipment and medium based on social network | |
| CN113127878A (en) | Risk assessment method and device for threat event | |
| McCaig et al. | International welfare comparisons and nonparametric testing of multivariate stochastic dominance | |
| CN110928942A (en) | Index data monitoring and management method and device | |
| CN115934418A (en) | Archive management method based on Attention-GRU algorithm | |
| CN112380212A (en) | Method, apparatus and storage medium for calculating actual control person of company | |
| CN114881503A (en) | Scoring determination method, device, equipment and storage medium | |
| CN110009170B (en) | Model scoring correction method and device and server | |
| Liu et al. | Analysis of LULUCF accounting rules after 2012 | |
| CN111125685A (en) | Method and device for predicting network security situation | |
| CN106295925A (en) | The automatic comprehensive review method and system of master data in the Internet finance wind control examination & verification | |
| CN114926002A (en) | Customer intimacy degree determination method, apparatus, device, medium, and program product | |
| Kostevc et al. | STABILITY THROUGH VALUE CHAINS? ROLE OF PRODUCTION NETWORK PARTICIPATION IN EXPORT DURATION | |
| CN115953068A (en) | Data quantization method and related device | |
| Nica | Small business clusters in Oklahoma: Mar or Jacobs effects | |
| CN117632436A (en) | Application program migration evaluation method and device for railway information system | |
| CN113327113A (en) | Method and device for determining client policy and electronic equipment |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |