CN107844914B - Risk management and control system based on group management and implementation method - Google Patents
Risk management and control system based on group management and implementation method Download PDFInfo
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Abstract
The invention discloses a risk management and control system based on group management and an implementation method thereof, wherein the system comprises a risk collection unit, a risk management server, a risk evaluation server and a risk processing unit; the risk management server comprises a risk classification module, a risk identification module, a keyword extraction module and a risk storage module; the risk assessment server comprises a risk pre-storage module, a risk assessment module and a risk management module. According to the invention, the risk items are classified in the risk management server through a keyword extraction and comparison method, and the risk probability value of the classified risk items is calculated in the risk assessment server through the keywords, so that the accurate quantitative calculation of the risk items is realized, a larger error caused by subjective judgment of the risk value is avoided, the risk management and control efficiency can be improved, the risk can be automatically managed and controlled in real time, and further, the occurrence of major risk items is avoided.
Description
Technical Field
The invention belongs to the field of financial analysis management, and relates to a risk management and control system based on group management and an implementation method.
Background
In recent years, central enterprises closely surround enterprise development strategies, so that the global and trend study and judgment on risks facing the enterprises in the middle and long term in the future are enhanced, the direction and the key point of risk management work are accurately positioned, and support and guarantee are practically provided for the enterprises to realize the operational target. The change of the situation at home and abroad needs to be grasped in time and deeply analyzed, and the sensitivity of enterprises to the change of the operating environment and the prejudgment capability of enterprises to the development trend are improved. Typical cases of various major risk loss events occurring inside and outside an enterprise in the recent period are carefully summarized, and experience training is drawn from the cases. Each central enterprise needs to establish a sound internal comprehensive risk management reporting system, and controls the risk change trend of each level unit to which the enterprise belongs, the major risk control progress and the effect in time through a reporting mechanism, so that the smooth communication and the timely sharing of various risk information are ensured, and the timeliness and the effectiveness of the risk management report are improved. The method is characterized in that a timely risk analysis, prompt, report and report mechanism is established by combining routine work mechanisms of annual work meetings, budget planning meetings, monthly and quarterly operation activity analysis meetings and the like of enterprises, and the reports related to major risk management and control can be ensured to be directly sent to the highest decision layer and the operation layer of the enterprises in time. Meanwhile, with the change of economic situation at home and abroad, the operation risk of central enterprises and various private group type enterprises is increased, and major risk events occur. Therefore, establishing a sound risk management system is also a need for the sustainable development of the group.
Disclosure of Invention
The invention aims to provide a group management-based risk management and control system and an implementation method, the system classifies risk items in a risk management server through a keyword extraction and comparison method, and calculates a risk probability value of the classified risk items in a risk assessment server through keywords, so that accurate quantitative calculation of the risk items is realized, a larger error caused by subjective judgment of the risk value is avoided, the risk management and control efficiency can be improved, risks can be automatically managed and controlled in real time, and further occurrence of major risk items is avoided.
The purpose of the invention can be realized by the following technical scheme:
the risk management and control system based on group management comprises a risk collection unit, a risk management server, a risk evaluation server and a risk processing unit;
the risk collection unit is used for manually inputting risk items existing in each department of the company into the risk management server or storing the risk items in an interface mode by each department of the group;
the risk management server comprises a risk classification module, a risk identification module, a keyword extraction module and a risk storage module; setting a risk model in a risk classification module by a risk management department; the keyword extraction module is used for extracting keywords from the collected risk items to obtain a plurality of keywords; the risk identification module is used for comparing the risk keywords extracted by the keyword extraction module with the risk models, and the risk model with the highest keyword occurrence probability is the risk model to which the risk item belongs, so that the classified management of the risk item is realized; the risk storage module stores the classified risk items according to categories and transmits the classified risk items to the risk assessment server according to categories;
the risk assessment server comprises a risk pre-storage module, a risk assessment module and a risk management module, wherein a risk management department establishes a corresponding risk model in the risk pre-storage module in advance and then stores the occurred risk items into the corresponding risk models respectively according to different categories; after receiving the risk items classified by the risk storage module, the risk evaluation module compares keywords of the risk items with the pre-stored risk items in the corresponding risk models in the risk pre-storage module to obtain a risk occurrence probability value, wherein the probability value is greater than or equal to 10% and is a major risk, the probability value is greater than 2% and less than 10% and is a medium risk, and the probability value is less than or equal to 2% and is a small risk; the risk management module is used for counting the evaluated risk items and the corresponding risk probability values and pushing the risk items to the risk processing unit.
Further, the risk classification module is used for setting four types of risk models of strategy and investment risk, financial risk, market and operation risk and legal risk in the risk classification module by a risk management department.
Further, the risk pre-storing module receives the classified risk items pushed by the risk storing module, and stores the risk items into the corresponding risk models according to the categories, so that the risk items can be used as the risk items already generated in the next evaluation of the risk items.
Further, the probability value is obtained by the risk evaluation module receiving the risk item classified by the risk storage module, extracting the times of occurrence of the keyword of the risk item in the pre-stored risk item in the corresponding risk model, and then multiplying the times of occurrence by the keyword number and dividing the keyword number by the word number of the pre-stored risk item in the corresponding risk model.
Further, the risk management module pushes the risk item with the risk probability value larger than 2% to the risk processing unit.
A risk management and control implementation method based on group management comprises the following specific steps:
(1) the risk items existing in the department of the company are manually input into the risk management server or stored into the risk management server in an interface mode by each department of the group;
(2) risk management departments of the group set four major risk models of strategy and investment risk, financial risk, market and operation risk and legal risk in a risk classification module, and then extract keywords from risk items transmitted by a risk collection unit through a keyword extraction module to obtain a plurality of keywords;
(3) the risk identification module compares the risk keywords extracted by the keyword extraction module with the risk models, the risk model with the highest keyword occurrence probability is the risk model to which the risk item belongs, and the classified risk items are stored according to categories;
(4) the risk management department establishes four types of risk models in a risk pre-storage module in advance, then stores the occurred risk items into corresponding wind direction models according to different types, simultaneously the risk pre-storage module receives the classified risk items pushed by the risk storage module, stores the risk items into corresponding risk models according to the types, and can be used as the occurred risk items of the next risk item evaluation, simultaneously the risk evaluation module receives the risk items classified by the risk storage module, compares the keywords of the risk items with the pre-stored occurred risk items in the corresponding risk models in the risk pre-storage module to obtain the times of the keywords of the risk items appearing in the corresponding risk models in advance, and then obtains the probability value by multiplying the times of the occurrence by the keyword number and dividing the times of the pre-stored risk items in the corresponding risk models, if the probability value is greater than or equal to 10%, the risk is a major risk, if the probability value is greater than 2% and less than 10%, the risk is a medium risk, and if the probability value is less than or equal to 2%, the risk is a small risk;
(5) the risk management module counts the evaluated risk items and the corresponding risk probability value, and pushes the corresponding risk items to the risk processing unit when the risk probability value is more than 2%;
(6) and after the group enterprise receives the risk items of the subordinate company and the corresponding risk probability value pushed by the risk management module, proposing and implementing a risk management solution suitable for the group.
The invention has the beneficial effects that:
according to the invention, the risk items are classified in the risk management server through a keyword extraction and comparison method, and the risk probability value of the classified risk items is obtained in the risk evaluation server through keyword calculation, so that the accurate quantitative calculation of the risk items is realized, and the larger error caused by subjective judgment of the risk value is avoided.
The system can evaluate a plurality of risk items at the same time, can improve the risk management and control efficiency, can automatically manage and control the risk in real time, and further avoids the occurrence of major risk items.
The risk assessment server receives the classified risk items and stores the classified risk items in the risk pre-storing module, the risk items can be used as the risk items which have already occurred in the next assessment of the risk items, and the accuracy of risk probability value calculation can be further improved through continuous risk item accumulation.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic view of a risk management system according to the present invention.
Detailed Description
A risk management and control system based on group management, as shown in fig. 1, includes a risk collection unit, a risk management server, a risk evaluation server, and a risk processing unit;
the risk collection unit is used for manually inputting risk items existing in each department of the company into the risk management server or storing the risk items in an interface mode by each department of the group;
the risk management server comprises a risk classification module, a risk identification module, a keyword extraction module and a risk storage module, and a risk management department sets four major risk models of strategy and investment risk, financial risk, market and operation risk and legal risk in the risk classification module; the keyword extraction module is used for extracting keywords from the collected risk items to obtain a plurality of keywords; the risk identification module is used for comparing the risk keywords extracted by the keyword extraction module with the risk models, and the risk model with the highest keyword occurrence probability is the risk model to which the risk item belongs, so that the classified management of the risk item is realized; the risk storage module stores the classified risk items according to categories and transmits the classified risk items to the risk assessment server according to categories;
the risk assessment server comprises a risk pre-storage module, a risk assessment module and a risk management module, wherein a risk management department establishes four types of risk models in the risk pre-storage module in advance, then stores the occurred risk items into corresponding wind direction models according to different types, receives the classified risk items pushed by the risk storage module, stores the risk items into corresponding risk models according to the types, and can be used as the occurred risk items of the next assessment risk items; after the risk assessment module receives the risk items classified by the risk storage module, comparing the keywords of the risk items with the pre-stored risk items in the corresponding risk models in the risk pre-storage module to obtain the times of the keywords of the risk items appearing in the pre-stored risk items in the corresponding risk models, and then multiplying the appearing times by the number of the keywords and dividing the times by the number of the words of the pre-stored risk items in the corresponding risk models to obtain a probability value, wherein the probability value is a major risk if the probability value is greater than or equal to 10%, the probability value is a medium risk if the probability value is greater than 2% and less than 10%, and the probability value is a small risk if the probability value is less than or equal to 2%; the risk management module is used for counting the evaluated risk items and the corresponding risk probability values, and pushing the corresponding risk items to the risk processing unit when the risk probability values are more than 2%;
and the risk processing unit is used for proposing and implementing a risk management solution suitable for the group after the group enterprise receives the risk items of the subordinate company and the corresponding risk probability value pushed by the risk management module.
A risk management and control implementation method based on group management comprises the following specific steps:
(1) the risk items existing in the department of the company are manually input into the risk management server or stored into the risk management server in an interface mode by each department of the group;
(2) risk management departments of the group set four major risk models of strategy and investment risk, financial risk, market and operation risk and legal risk in a risk classification module, and then extract keywords from risk items transmitted by a risk collection unit through a keyword extraction module to obtain a plurality of keywords;
(3) the risk identification module compares the risk keywords extracted by the keyword extraction module with the risk models, the risk model with the highest keyword occurrence probability is the risk model to which the risk item belongs, and the classified risk items are stored according to categories;
(4) the risk management department establishes four types of risk models in a risk pre-storage module in advance, then stores the occurred risk items into corresponding wind direction models according to different types, simultaneously the risk pre-storage module receives the classified risk items pushed by the risk storage module, stores the risk items into corresponding risk models according to the types, and can be used as the occurred risk items of the next risk item evaluation, simultaneously the risk evaluation module receives the risk items classified by the risk storage module, compares the keywords of the risk items with the pre-stored occurred risk items in the corresponding risk models in the risk pre-storage module to obtain the times of the keywords of the risk items appearing in the corresponding risk models in advance, and then obtains the probability value by multiplying the times of the occurrence by the keyword number and dividing the times of the pre-stored risk items in the corresponding risk models, if the probability value is greater than or equal to 10%, the risk is a major risk, if the probability value is greater than 2% and less than 10%, the risk is a medium risk, and if the probability value is less than or equal to 2%, the risk is a small risk;
(5) the risk management module counts the evaluated risk items and the corresponding risk probability value, and pushes the corresponding risk items to the risk processing unit when the risk probability value is more than 2%;
(6) and after the group enterprise receives the risk items of the subordinate company and the corresponding risk probability value pushed by the risk management module, proposing and implementing a risk management solution suitable for the group.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. The risk management and control system based on group management is characterized by comprising a risk collection unit, a risk management server, a risk evaluation server and a risk processing unit;
the risk collection unit is used for manually inputting risk items existing in each department of the company into the risk management server or storing the risk items in an interface mode by each department of the group;
the risk management server comprises a risk classification module, a risk identification module, a keyword extraction module and a risk storage module; setting a risk model in a risk classification module by a risk management department; the keyword extraction module is used for extracting keywords from the collected risk items to obtain a plurality of keywords; the risk identification module is used for comparing the risk keywords extracted by the keyword extraction module with the risk models, and the risk model with the highest keyword occurrence probability is the risk model to which the risk item belongs, so that the classified management of the risk item is realized; the risk storage module stores the classified risk items according to categories and transmits the classified risk items to the risk assessment server according to categories;
the risk evaluation server comprises a risk pre-storage module, a risk evaluation module and a risk management module; the risk management department establishes a corresponding risk model in a risk pre-storage module in advance, and then stores the occurred risk items into the corresponding risk models according to different categories; after receiving the risk items classified by the risk storage module, the risk evaluation module compares keywords of the risk items with the pre-stored risk items in the corresponding risk models in the risk pre-storage module to obtain a risk occurrence probability value, wherein the probability value is greater than or equal to 10% and is a major risk, the probability value is greater than 2% and less than 10% and is a medium risk, and the probability value is less than or equal to 2% and is a small risk; the risk management module is used for counting the evaluated risk items and the corresponding risk probability values and pushing the risk items to the risk processing unit;
the risk pre-storage module receives the classified risk items pushed by the risk storage module, stores the risk items into corresponding risk models according to categories, and can be used as the risk items which have already occurred in the next evaluation of the risk items;
the probability value is obtained by the risk evaluation module receiving the risk items classified by the risk storage module, extracting the times of occurrence of keywords of the risk items in the pre-stored risk items in the corresponding risk model, and then multiplying the times of occurrence by the number of the keywords and dividing the times by the number of the words of the pre-stored risk items in the corresponding risk model.
2. The risk management and control system based on corporate management according to claim 1, wherein the risk classification module is a risk classification module for risk management department to set four types of risk models of strategic and investment risk, financial risk, market and operational risk, and legal risk.
3. The risk management and control system based on group management according to claim 1, wherein the risk management module pushes risk items with a risk probability value greater than 2% to the risk processing unit.
4. The method for realizing risk management and control based on group management according to claim 1, wherein the specific method is as follows:
(1) the risk items existing in the department of the company are manually input into the risk management server or stored into the risk management server in an interface mode by each department of the group;
(2) risk management departments of the group set four major risk models of strategy and investment risk, financial risk, market and operation risk and legal risk in a risk classification module, and then extract keywords from risk items transmitted by a risk collection unit through a keyword extraction module to obtain a plurality of keywords;
(3) the risk identification module compares the risk keywords extracted by the keyword extraction module with the risk models, the risk model with the highest keyword occurrence probability is the risk model to which the risk item belongs, and the classified risk items are stored according to categories;
(4) the risk management department establishes four types of risk models in a risk pre-storage module in advance, then stores the occurred risk items into corresponding wind direction models according to different types, simultaneously the risk pre-storage module receives the classified risk items pushed by the risk storage module, stores the risk items into corresponding risk models according to the types, and can be used as the occurred risk items of the next risk item evaluation, simultaneously the risk evaluation module receives the risk items classified by the risk storage module, compares the keywords of the risk items with the pre-stored occurred risk items in the corresponding risk models in the risk pre-storage module to obtain the times of the keywords of the risk items appearing in the corresponding risk models in advance, and then obtains the probability value by multiplying the times of the occurrence by the keyword number and dividing the times of the pre-stored risk items in the corresponding risk models, if the probability value is greater than or equal to 10%, the risk is a major risk, if the probability value is greater than 2% and less than 10%, the risk is a medium risk, and if the probability value is less than or equal to 2%, the risk is a small risk;
(5) the risk management module counts the evaluated risk items and the corresponding risk probability value, and pushes the corresponding risk items to the risk processing unit when the risk probability value is more than 2%;
(6) and after the group enterprise receives the risk items of the subordinate company and the corresponding risk probability value pushed by the risk management module, proposing and implementing a risk management solution suitable for the group.
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| CN109118085A (en) * | 2018-08-14 | 2019-01-01 | 石榴籽科技有限公司 | A kind of building trade risk management and control system and method Internet-based |
| CN110866662A (en) * | 2018-08-27 | 2020-03-06 | 中国石油化工股份有限公司 | Risk quantitative management method and system for petrochemical production process |
| CN109656904B (en) * | 2018-11-13 | 2023-05-30 | 上海百事通信息技术股份有限公司 | Case risk detection method and system |
| CN114971432A (en) * | 2022-08-01 | 2022-08-30 | 威海海洋职业学院 | Enterprise financial risk early warning method and system |
| CN115907837B (en) * | 2023-02-24 | 2023-06-02 | 山东财经大学 | Futures data analysis and risk prediction method and system based on machine learning |
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