CN105389732A - Enterprise risk assessment method - Google Patents
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- CN105389732A CN105389732A CN201510882392.3A CN201510882392A CN105389732A CN 105389732 A CN105389732 A CN 105389732A CN 201510882392 A CN201510882392 A CN 201510882392A CN 105389732 A CN105389732 A CN 105389732A
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Abstract
The invention provides an enterprise risk assessment method. The method is characterized by comprising the following steps that S1) enterprise operation data and industry information are collected; S2) industry data and target operation data are screened, each object operation data is marked with a credible value, and the industry data, the target operation data and credible values corresponding to the data are stored in a preset mirroring region; S3) a database region is preset; S4) a standard enterprise model, a first enterprise simulation model and a second enterprise simulation model are established, an assessment model in the database region is called to compare the first enterprise simulation model with the second enterprise simulation model, and a first assessment reference model and a second assessment reference model are determined; and S5) an assessment result corresponding to an enterprise to be analyzed is generated. Thus, the real condition of the enterprise can be known, guarantee is provided for further analysis and decision, and the risk of debit-credit cooperation is reduced.
Description
Technical field
The present invention relates to business risk assessment technology field, particularly relate to a kind of method for business risk assessment.
Background technology
The business risk assessment software of current widespread use, is all the basic data using the financial statement of enterprise as assessment, by these believable financial basic datas, is calculated the business circumstance of enterprise by wind control model.
In China, a lot of Financing is difficult, must by obtaining financing to pledging.Set up towards the medium-sized and small enterprises operational risk early-warning system groupware, be used for assisting financial institution to medium-sized and small enterprises credit decision-making and credit legal system, very necessary.Traditional Credit Risk Assessment of Enterprise research, main with believable enterprise ' s financial data for evaluation criteria, and medium-sized and small enterprises because of financial statement quality of information lower, the influence degree that medium-sized and small enterprises credit risk is subject to business manager is high, financial statement information credibility is lower, often has the situation that inside and outside account is inconsistent.Therefore traditional business risk forecast model is applied on medium-sized and small enterprises, certainly will have structural inclined mistake, cause predictive ability to reduce, and certainly will affect bank's credit according to survey, improves the credit risk of bank.
Summary of the invention
Based on the technical matters that background technology exists, the present invention proposes a kind of method for business risk assessment, comprise the following steps:
S1, collection enterprise operation data and trade information;
S2, according to trade information screening industry data, according to enterprise operation data screening target management data, establish confidence values with reference to corresponding industry data for each target management data mark, and confidence values corresponding to industry data, target management data and each data is stored into default MIRROR SITE;
S3, preset data reservoir area, database community internal preset has the assessment models of the different operation state of multiple correspondence and the criterion evaluation result corresponding with assessment models;
S4, set up the first business simulation model and the second business simulation model; Assessment models in calling data reservoir area contrasts respectively at the first business simulation model and the second corporate model, determine that assessing reference model and second with the first business simulation model and the highest assessment models of the second corporate model matching degree as first assesses reference model, record the first business simulation model and first respectively and assess the second matching value that reference model assessed by the first matching value of reference model and the second corporate model and second;
S5, by calling the first assessment reference model and criterion evaluation result corresponding to the second assessment reference model, then adjusting in conjunction with the first matching value and the second matching value and target management data, generating the assessment result corresponding with enterprise to be analyzed.
Preferably, the first business simulation model is set up and the concrete mode of the second business simulation model is: call industry data and Criterion corporate model by MIRROR SITE in S4, the first business simulation model is set up by MIRROR SITE invocation target management data according to standard corporate model, preset credible threshold, set up the second business simulation model according to standard corporate model by MIRROR SITE invoke section target management data;
Wherein partial target management data is presetting the target management data corresponding to the confidence values beyond credible threshold for removing in target management data.
Preferably, gather enterprise operation data in step S1 to comprise: target management data comprises ERP system data, HR system data and financial system data.
Preferably, step S1 specifically comprises the following steps:
S11, obtain the mandate that business to business database to be assessed carries out full-text search;
S12, to the database of enterprise to be assessed in real time or timing carry out full-text search, gather enterprise operation data;
S13, real-time or timing acquiring trade information.
Preferably, step S13 specifically comprises the following steps:
S131, default degree of association preset value;
S132, real-time or timing acquiring and the enterprise to be assessed degree of association are greater than the trade information of degree of association preset value.
Preferably, step S2 specifically comprises the following steps:
S21, by trade information according to source confidence level sort;
S22, extract trade information as industry data according to confidence level order from big to small;
S23, according to enterprise operation data screening target management data;
The industry data of S24, reference correspondence establish confidence values for each target management data mark, and confidence values corresponding to industry data, target management data and each data is stored into default MIRROR SITE.
Preferably, the assessment result generated in step S5 comprises: business solvency report, Financial Crisis early warning report and Enterprise Credit Risk Evaluation report.
Preferably, comprise data acquisition module, data processing module, data memory module, data call module and report generation module; Data acquisition module is connected with data processing module, data processing module is connected with data memory module, data memory module comprises MIRROR SITE and database community, and data call module is connected with data memory module, and report generation module and data store mould and data call model calling; Data collecting module collected enterprise operation data and trade information are also sent to data processing module; Data processing module is according to trade information screening industry data, data processing module is according to enterprise operation data screening target management data, data processing module establishes confidence values with reference to corresponding industry data for each target management data mark, and confidence values corresponding to industry data, target management data and each data is stored into data memory module; MIRROR SITE stores enterprise operation data and industry data, and database community internal preset has the assessment models of the different operation state of multiple correspondence and the criterion evaluation result corresponding with assessment models; Data call module is preset with credible threshold, data call module calls industry data and Criterion corporate model by MIRROR SITE, the first business simulation model is set up by MIRROR SITE invocation target management data according to standard corporate model, set up the second business simulation model according to standard corporate model by MIRROR SITE invoke section target management data, partial target management data is presetting the target management data corresponding to the confidence values beyond credible threshold for remove in target management data; Assessment models in data call module calling data reservoir area contrasts respectively at the first business simulation model and the second corporate model, determine that assessing reference model and second with the first business simulation model and the highest assessment models of the second corporate model matching degree as first assesses reference model, record the first business simulation model and first respectively and assess the second matching value that reference model assessed by the first matching value of reference model and the second corporate model and second; Report generation module is called the first assessment reference model and second by Model Matching analysis module and is assessed criterion evaluation result corresponding to reference model, then in conjunction with the first matching value and the second matching value with adjust from target management data, generate the assessment result corresponding with enterprise to be analyzed.
The present invention can obtain more real enterprise operation situation and display, when can avoid only using financial data as analytic target, the evaluation and grading caused because financial data is insincere, not only can be supplied to enterprise self for early-warning and predicting, other investment corporatioies, guarantee corporation, little Dai company, bank and other financial mechanism requirement can also be answered, truly can understand conditions of the enterprise, for further analysis decision provides safeguard, reduce debt-credit Cooperation Risk etc.
Accompanying drawing explanation
Fig. 1 is a kind of method flow schematic diagram for business risk assessment of the present invention;
Fig. 2 is for gathering enterprise operation data and trade information schematic flow sheet;
Fig. 3 is flow chart of data processing schematic diagram;
Fig. 4 is real-time or timing acquiring trade information schematic flow sheet;
Fig. 5 is a kind of method application system structural representation for business risk assessment that the present invention proposes.
Embodiment
With reference to shown in Fig. 1, a kind of method for business risk assessment that the present invention proposes, comprises the following steps:
S1, collection enterprise operation data and trade information.
With reference to shown in Fig. 2, step S1 specifically comprises the following steps.
S11, obtain the mandate that business to business database to be assessed carries out full-text search.
Conveniently enterprise's hiding data or strange land server data are gathered, ensure the comprehensive and representative of the data collected, can assess accurately enterprise according to enterprise operation data in subsequent treatment.
S12, to the database of enterprise to be assessed in real time or timing carry out full-text search, gather enterprise's hiding data or strange land server data, real-time or timing acquiring enterprise operation data ensure that enterprise operation data can reflect the current management position of enterprise in real time, enterprise operation data ground is upgraded in real time or regularly.
S13, in real time or timing acquiring trade information, so as standard corporate model namely have that stability has can regular update.
S2, according to trade information screening industry data, according to enterprise operation data screening target management data, confidence values is established for each target management data mark with reference to corresponding industry data, and confidence values corresponding to industry data, target management data and each data is stored into default MIRROR SITE, avoid the miscellaneous work of follow-up data screening, also reduce taking up room to data memory module simultaneously.
With reference to shown in Fig. 3, step S2 specifically comprises the following steps:
S21, by trade information according to source confidence level sort.
S22, extract trade information as industry data according to confidence level order from big to small, until the data area that the industry data cover extracted is preset.
S23, according to enterprise operation data screening target management data.
The industry data of S24, reference correspondence establish confidence values for each target management data mark, and confidence values corresponding to industry data, target management data and each data is stored into default MIRROR SITE.
Effectively can improve the accuracy of report.
S3, preset data reservoir area, database community internal preset has the assessment models of the different operation state of multiple correspondence and the criterion evaluation result corresponding with assessment models.
S4, call industry data and Criterion corporate model by MIRROR SITE, the first business simulation model is set up by MIRROR SITE invocation target management data according to standard corporate model, preset credible threshold, set up the second business simulation model according to standard corporate model by MIRROR SITE invoke section target management data, partial target management data is presetting the target management data corresponding to the confidence values beyond credible threshold for remove in target management data.
Assessment models in calling data reservoir area contrasts respectively at the first business simulation model and the second corporate model, determine that assessing reference model and second with the first business simulation model and the highest assessment models of the second corporate model matching degree as first assesses reference model, record the first business simulation model and first respectively and assess the second matching value that reference model assessed by the first matching value of reference model and the second corporate model and second.
S5, by calling the first assessment reference model and criterion evaluation result corresponding to the second assessment reference model, then adjusting in conjunction with the first matching value and the second matching value and target management data, generating the assessment result corresponding with enterprise to be analyzed.
So based on the first assessment reference model and the corresponding criterion evaluation result of the second assessment reference model, adjust in conjunction with enterprise operation data, obtain the assessment result meeting enterprise practical situation, namely improve assess effectiveness, be consistent with the traffic-operating period of enterprise again.
With reference to shown in Fig. 4, S13 specifically comprises the following steps:
S131, default degree of association preset value;
S132, real-time or timing acquiring and the enterprise to be assessed degree of association are greater than the trade information of degree of association preset value.
Effectively can improve the accuracy of report like this.
Gather enterprise operation data in present embodiment in step S1 to comprise: target management data comprises ERP system data, HR system data and financial system data.
When can avoid only using financial data as analytic target, the evaluation and grading caused because financial data is insincere.
With reference to shown in Fig. 5, a kind of application system of method of business risk assessment, comprises data acquisition module, data processing module, data memory module, data call module and report generation module;
Data acquisition module is connected with data processing module, and data collecting module collected enterprise operation data and trade information are also sent to data processing module;
Data processing module is connected with data memory module, data processing module is according to trade information screening industry data, data processing module is according to enterprise operation data screening target management data, data processing module establishes confidence values with reference to corresponding industry data for each target management data mark, and confidence values corresponding to industry data, target management data and each data is stored into data memory module;
Data memory module comprises MIRROR SITE and database community, and MIRROR SITE stores enterprise operation data and industry data, and database community internal preset has the assessment models of the different operation state of multiple correspondence and the criterion evaluation result corresponding with assessment models;
Data call module is connected with data memory module, data call module is preset with credible threshold, data call module calls industry data and Criterion corporate model by MIRROR SITE, the first business simulation model is set up by MIRROR SITE invocation target management data according to standard corporate model, set up the second business simulation model according to standard corporate model by MIRROR SITE invoke section target management data, partial target management data is presetting the target management data corresponding to the confidence values beyond credible threshold for remove in target management data; Assessment models in data call module calling data reservoir area contrasts respectively at the first business simulation model and the second corporate model, determine that assessing reference model and second with the first business simulation model and the highest assessment models of the second corporate model matching degree as first assesses reference model, record the first business simulation model and first respectively and assess the second matching value that reference model assessed by the first matching value of reference model and the second corporate model and second;
Report generation module and data store mould and data call model calling; report generation module is called the first assessment reference model and second by Model Matching analysis module and is assessed criterion evaluation result corresponding to reference model; then in conjunction with the first matching value and the second matching value with adjust from target management data; generate the assessment result corresponding with enterprise to be analyzed, assessment result comprises business solvency report, Financial Crisis early warning report and Enterprise Credit Risk Evaluation report.
The present invention not only can be supplied to enterprise self for early-warning and predicting, other investment corporatioies, guarantee corporation, little Dai company, bank and other financial mechanism requirement can also be answered, truly can understand conditions of the enterprise, for further analysis decision provides safeguard, reduce debt-credit Cooperation Risk etc.
The above; be only the present invention's preferably embodiment; but protection scope of the present invention is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the present invention discloses; be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, all should be encompassed within protection scope of the present invention.
Claims (8)
1., for a method for business risk assessment, it is characterized in that, comprise the following steps:
S1, collection enterprise operation data and trade information;
S2, according to trade information screening industry data, according to enterprise operation data screening target management data, establish confidence values with reference to corresponding industry data for each target management data mark, and confidence values corresponding to industry data, target management data and each data is stored into default MIRROR SITE;
S3, preset data reservoir area, database community internal preset has the assessment models of the different operation state of multiple correspondence and the criterion evaluation result corresponding with assessment models;
S4, set up the first business simulation model and the second business simulation model; Assessment models in calling data reservoir area contrasts respectively at the first business simulation model and the second corporate model, determine that assessing reference model and second with the first business simulation model and the highest assessment models of the second corporate model matching degree as first assesses reference model, record the first business simulation model and first respectively and assess the second matching value that reference model assessed by the first matching value of reference model and the second corporate model and second;
S5, by calling the first assessment reference model and criterion evaluation result corresponding to the second assessment reference model, then adjusting in conjunction with the first matching value and the second matching value and target management data, generating the assessment result corresponding with enterprise to be analyzed.
2. the method for business risk assessment according to claim 1, it is characterized in that, the first business simulation model is set up and the concrete mode of the second business simulation model is: call industry data and Criterion corporate model by MIRROR SITE in S4, the first business simulation model is set up by MIRROR SITE invocation target management data according to standard corporate model, preset credible threshold, set up the second business simulation model according to standard corporate model by MIRROR SITE invoke section target management data;
Wherein partial target management data is presetting the target management data corresponding to the confidence values beyond credible threshold for removing in target management data.
3. the method for business risk assessment according to claim 1, is characterized in that, gather enterprise operation data and comprise in step S1: target management data comprises ERP system data, HR system data and financial system data.
4. the method for business risk assessment according to claim 1, it is characterized in that, step S1 specifically comprises the following steps:
S11, obtain the mandate that business to business database to be assessed carries out full-text search;
S12, to the database of enterprise to be assessed in real time or timing carry out full-text search, gather enterprise operation data;
S13, real-time or timing acquiring trade information.
5. the method for business risk assessment according to claim 4, step S13 specifically comprises the following steps:
S131, default degree of association preset value;
S132, real-time or timing acquiring and the enterprise to be assessed degree of association are greater than the trade information of degree of association preset value.
6. the method for business risk assessment according to claim 1, step S2 specifically comprises the following steps:
S21, by trade information according to source confidence level sort;
S22, extract trade information as industry data according to confidence level order from big to small;
S23, according to enterprise operation data screening target management data;
The industry data of S24, reference correspondence establish confidence values for each target management data mark, and confidence values corresponding to industry data, target management data and each data is stored into default MIRROR SITE.
7. the method for business risk assessment according to claim 1, it is characterized in that, the assessment result generated in step S5 comprises: business solvency report, Financial Crisis early warning report and Enterprise Credit Risk Evaluation report.
8. the application system of the method for the business risk assessment according to claim 1-7 any one, is characterized in that: comprise data acquisition module, data processing module, data memory module, data call module and report generation module; Data acquisition module is connected with data processing module, data processing module is connected with data memory module, data memory module comprises MIRROR SITE and database community, and data call module is connected with data memory module, and report generation module and data store mould and data call model calling; Data collecting module collected enterprise operation data and trade information are also sent to data processing module; Data processing module is according to trade information screening industry data, data processing module is according to enterprise operation data screening target management data, data processing module establishes confidence values with reference to corresponding industry data for each target management data mark, and confidence values corresponding to industry data, target management data and each data is stored into data memory module; MIRROR SITE stores enterprise operation data and industry data, and database community internal preset has the assessment models of the different operation state of multiple correspondence and the criterion evaluation result corresponding with assessment models; Data call module is preset with credible threshold, data call module calls industry data and Criterion corporate model by MIRROR SITE, the first business simulation model is set up by MIRROR SITE invocation target management data according to standard corporate model, set up the second business simulation model according to standard corporate model by MIRROR SITE invoke section target management data, partial target management data is presetting the target management data corresponding to the confidence values beyond credible threshold for remove in target management data; Assessment models in data call module calling data reservoir area contrasts respectively at the first business simulation model and the second corporate model, determine that assessing reference model and second with the first business simulation model and the highest assessment models of the second corporate model matching degree as first assesses reference model, record the first business simulation model and first respectively and assess the second matching value that reference model assessed by the first matching value of reference model and the second corporate model and second; Report generation module is called the first assessment reference model and second by Model Matching analysis module and is assessed criterion evaluation result corresponding to reference model, then in conjunction with the first matching value and the second matching value with adjust from target management data, generate the assessment result corresponding with enterprise to be analyzed.
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| CN105843890A (en) * | 2016-03-21 | 2016-08-10 | 华南师范大学 | Knowledge base based big data and general data oriented data collection method and system |
| CN107909472A (en) * | 2017-12-08 | 2018-04-13 | 上海壹账通金融科技有限公司 | Management data checking method, device, equipment and computer-readable recording medium |
| CN108460544A (en) * | 2018-04-08 | 2018-08-28 | 苏州英瀚时信息科技有限公司 | A kind of general evaluation system of enterprises environmental risk and method |
| CN109102178A (en) * | 2018-07-27 | 2018-12-28 | 南方电网科学研究院有限责任公司 | A kind of electric power enterprise Valuation Method, device and equipment |
| CN109658217A (en) * | 2018-12-20 | 2019-04-19 | 安徽经邦软件技术有限公司 | A kind of intelligence financial decision big data analysis system |
| CN113723775A (en) * | 2021-08-16 | 2021-11-30 | 国网上海市电力公司 | Enterprise and industry operation risk assessment method based on electric power big data |
| CN114091855A (en) * | 2021-11-10 | 2022-02-25 | 安徽经邦软件技术有限公司 | Risk early warning index system based on D-S evidence synthesis technology |
| US11526936B2 (en) | 2017-12-15 | 2022-12-13 | Advanced New Technologies Co., Ltd. | Graphical structure model-based credit risk control |
| US11526766B2 (en) | 2017-12-15 | 2022-12-13 | Advanced New Technologies Co., Ltd. | Graphical structure model-based transaction risk control |
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| CN105843890A (en) * | 2016-03-21 | 2016-08-10 | 华南师范大学 | Knowledge base based big data and general data oriented data collection method and system |
| CN105843890B (en) * | 2016-03-21 | 2020-01-24 | 华南师范大学 | Knowledge base-based big data and common data oriented data acquisition method and system |
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| US11526936B2 (en) | 2017-12-15 | 2022-12-13 | Advanced New Technologies Co., Ltd. | Graphical structure model-based credit risk control |
| US11526766B2 (en) | 2017-12-15 | 2022-12-13 | Advanced New Technologies Co., Ltd. | Graphical structure model-based transaction risk control |
| CN108460544A (en) * | 2018-04-08 | 2018-08-28 | 苏州英瀚时信息科技有限公司 | A kind of general evaluation system of enterprises environmental risk and method |
| CN109102178A (en) * | 2018-07-27 | 2018-12-28 | 南方电网科学研究院有限责任公司 | A kind of electric power enterprise Valuation Method, device and equipment |
| CN109658217B (en) * | 2018-12-20 | 2021-01-12 | 安徽经邦软件技术有限公司 | Intelligent financial decision big data analysis system |
| CN109658217A (en) * | 2018-12-20 | 2019-04-19 | 安徽经邦软件技术有限公司 | A kind of intelligence financial decision big data analysis system |
| CN113723775A (en) * | 2021-08-16 | 2021-11-30 | 国网上海市电力公司 | Enterprise and industry operation risk assessment method based on electric power big data |
| CN113723775B (en) * | 2021-08-16 | 2023-09-12 | 国网上海市电力公司 | Enterprise and industry operation risk assessment method based on power big data |
| CN114091855A (en) * | 2021-11-10 | 2022-02-25 | 安徽经邦软件技术有限公司 | Risk early warning index system based on D-S evidence synthesis technology |
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