Enterprise analysis and evaluation method and evaluation system
By obtaining and analyzing data on the status of the enterprise and personnel, generating evaluation indexes and cross-processing, the problem of lack of comprehensiveness and systematicity of traditional enterprise evaluation methods is solved, and a comprehensive and objective assessment and risk warning of the enterprise is achieved.
Patent Information
- Application Number
- CN202510657726.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-21
- Publication Date
- 2025-06-20
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional enterprise evaluation methods lack comprehensiveness and systematicity, cannot comprehensively and in-depth analysis of the multi-dimensional situation of the enterprise, and cannot provide effective decision-making support.
By obtaining the status data of the enterprise, a company status evaluation index is generated, and based on the index, it is determined whether a risk warning is needed. At the same time, the status data of enterprise personnel are obtained, the status evaluation index of enterprise personnel is generated, and the cross-processing is carried out to generate enterprise evaluation signals.
It realizes a comprehensive and objective analysis of the status of the enterprise and personnel, provides a more comprehensive and accurate corporate assessment, and can promptly warn and respond to complex market environments and business needs.
Smart Images
Figure CN120181591A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of enterprise management and evaluation, and particularly relates to an enterprise analysis and evaluation method and an evaluation system. Background Art
[0002] With the continuous development of the market economy and increasingly fierce competition, enterprises are facing the influence of various complex external and internal factors in the operation process.
[0003] Traditional enterprise evaluation methods usually can only evaluate enterprises from a single dimension, lacking comprehensive and systematic analysis. In the actual operation process of enterprises, there is a need for a tool that can comprehensively and deeply analyze enterprises from multiple dimensions and provide decision-making support. Therefore, it is particularly important to develop an evaluation method and an evaluation system that can comprehensively, objectively, and efficiently analyze the comprehensive situation of enterprises. Summary of the Invention
[0004] In view of the deficiencies of the prior art, the present invention provides an enterprise analysis and evaluation method and an evaluation system, which solve the above problems.
[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: An enterprise analysis and evaluation method includes the following steps: Step S10: Obtain the status data of the enterprise and generate an enterprise status evaluation index; wherein, the status data of the enterprise includes the proportion of R & D investment, the proportion of enterprise liabilities, and the proportion of enterprise net profit. Step S20: According to the enterprise status evaluation index, determine whether the current enterprise status needs risk warning and generate an enterprise status risk warning signal; wherein, the enterprise status risk warning signal includes an enterprise status at-risk signal and an enterprise status not-at-risk signal. Step S30: Based on the enterprise status at-risk signal, obtain the status data of enterprise personnel and generate an enterprise personnel status evaluation index; wherein, the data of enterprise personnel status includes the proportion of enterprise talents and the enterprise personnel turnover rate. Step S40: According to the enterprise personnel status evaluation index, determine whether the enterprise personnel status is abnormal and generate an enterprise personnel status signal; wherein, the enterprise personnel status signal includes an enterprise personnel abnormal status signal and an enterprise personnel normal status signal. Step S50: Cross-process the enterprise status risk warning signal and the enterprise personnel status signal to generate an enterprise evaluation signal; wherein, the enterprise evaluation signal includes an enterprise evaluation first-level signal, an enterprise evaluation second-level signal, and an enterprise evaluation third-level signal.
[0006] On the basis of the above technical solutions, the present invention also provides the following optional technical solutions: Further technical solution: The step S10 specifically includes the following steps: S11: Obtain the proportion of a company's R & D investment, and generate an R & D investment proportion evaluation index; wherein, the R & D investment proportion refers to the ratio of the total enterprise expenditure to the total R & D expenditure; Step S12: Obtain the proportion of a company's liabilities, and generate an evaluation value of the company's liability proportion; wherein, the company's liability proportion refers to the ratio of the company's liability value to the total value of the company's liquid cash; Step S13: Obtain the proportion of a company's profit, and generate an evaluation index of the company's profit proportion; wherein, the company's profit proportion refers to the ratio of the company's net profit to the total business turnover; Step S14: Through the formula , generate the enterprise status evaluation index Kz; In the formula, the B Investment represents the R & D investment proportion evaluation index, B Liabilities represents the evaluation index of the company's liability proportion, B profit represents the evaluation index of the company's profit proportion, and a1, a2, and a3 are all weight coefficients, and a1 + a2 + a3 = 1.
[0007] Further technical solution: The specific generation method of the R & D investment proportion evaluation index is as follows: Perform a difference operation on the company's R & D investment proportion and the R & D investment proportion threshold of the company to generate an R & D investment proportion difference; Perform a ratio operation on the R & D investment proportion difference and the R & D investment proportion threshold of the company to generate an R & D investment proportion evaluation index; Among them, the specific generation method of the evaluation index of the company's liability proportion is as follows: Perform a difference operation on the company's liability proportion and the warning value of the company's liability proportion to generate a liability proportion difference; Perform a ratio operation on the liability proportion difference and the warning value of the company's liability proportion to generate an evaluation index of the company's liability proportion; Among them, the specific generation method of the evaluation index of the company's profit proportion is as follows: Compare the company's profit proportion with the warning value of the company's profit proportion; If the company's profit proportion is less than the warning value of the company's profit proportion, then perform a difference operation on the company's profit proportion and the warning value of the company's profit proportion to generate a profit proportion difference; wherein, the warning value of the company's profit proportion refers to the minimum value at which the company's profit proportion reaches the warning; Perform a ratio operation on the profit proportion difference and the warning value of the company's profit proportion to generate an evaluation index of the company's profit proportion.
[0008] Further technical solution: The specific judgment method of the step S20 is as follows: Compare the enterprise status evaluation index Kz with the enterprise status evaluation index threshold value; If the enterprise status evaluation index Kz is less than or equal to the enterprise status evaluation index threshold value, it means that the smaller the enterprise status evaluation index Kz, the better the enterprise status, and a risk signal for the non-existence of the enterprise status is generated; If the enterprise status evaluation index Kz is greater than or equal to the enterprise status evaluation index threshold value, it means that the larger the enterprise status evaluation index Kz, the worse the enterprise status, and a risk signal for the existence of the enterprise status is generated.
[0009] Further technical solution: The step S30 specifically includes the following steps: Step S31: Obtain the proportion of enterprise talents and generate an enterprise talent evaluation index; wherein, the proportion of enterprise talents refers to the ratio of enterprise talents to the total number of enterprise employees; Step S32: Obtain the enterprise personnel turnover rate and generate an enterprise personnel turnover evaluation index; Step S33: Through the formula , generate the enterprise personnel status evaluation index Kr; In the formula, Rc represents the enterprise talent evaluation index, Rd represents the enterprise personnel turnover evaluation index, α and β are both weight coefficients, and α + β = 1.
[0010] Further technical solution: The specific generation method of the enterprise talent evaluation index specifically includes: Perform a difference operation on the proportion of enterprise talents and the set value of the proportion of enterprise talents to generate a difference in the proportion of talents; Perform a ratio operation on the difference in the proportion of talents and the set value of the proportion of enterprise talents to generate an enterprise talent evaluation index; Among them, the specific generation method of the enterprise personnel turnover evaluation index is: Perform a difference operation on the enterprise personnel turnover rate and the warning value of the enterprise personnel turnover rate to generate a difference in the enterprise personnel turnover rate; Perform a ratio operation on the difference in the enterprise personnel turnover rate and the warning value of the enterprise personnel turnover rate to generate an enterprise personnel turnover evaluation index.
[0011] Further technical solution: The specific judgment method of the step S40 is: Compare the enterprise personnel status evaluation index Kr with the enterprise personnel status evaluation index threshold value; If the enterprise personnel status evaluation index Kr is less than or equal to the enterprise personnel status evaluation index threshold value, it means that the smaller the enterprise personnel status evaluation index Kr, the more normal the enterprise personnel status, and a signal for the normal status of the enterprise personnel is generated; If the enterprise personnel status evaluation index Kr is greater than the enterprise personnel status evaluation index threshold, it indicates that the larger the enterprise personnel status evaluation index Kr, the more abnormal the status of enterprise personnel. Then, an enterprise personnel abnormal status signal is generated.
[0012] Further technical solution: The specific method of cross-processing in step S50 is as follows: Cross-process the enterprise status risk warning signal and the enterprise personnel status signal. If the enterprise status risk-free signal and the enterprise personnel normal status signal are obtained simultaneously, it indicates that there is no abnormality in the enterprise currently, and then an enterprise evaluation level-1 signal is generated; If the enterprise status risk signal and the enterprise personnel normal status signal or the enterprise status risk-free signal and the enterprise personnel abnormal status signal are obtained simultaneously, it indicates that there are abnormal risks in the enterprise currently, and then an enterprise evaluation level-2 signal is generated; If the enterprise status risk signal and the enterprise personnel abnormal status signal are obtained simultaneously, it indicates that there is no abnormality in the enterprise currently, and then an enterprise evaluation level-3 signal is generated.
[0013] An enterprise analysis and evaluation system, which is used to execute the above method. The system includes: An enterprise status evaluation unit, which is used to obtain the status data of the enterprise and generate an enterprise status evaluation index. Among them, the status data of the enterprise includes the proportion of enterprise R & D investment, the proportion of enterprise liabilities, and the proportion of enterprise net profit; An enterprise status judgment module, which is used to judge whether the current enterprise status needs risk warning according to the enterprise status evaluation index and generate an enterprise status risk warning signal. Among them, the enterprise status risk warning signal includes an enterprise status risk signal and an enterprise status risk-free signal; An enterprise personnel evaluation unit, which is used to obtain the status data of enterprise personnel based on the enterprise status risk signal and generate an enterprise personnel status evaluation index. Among them, the data of enterprise personnel status includes the proportion of enterprise talents and the enterprise personnel turnover rate; An enterprise personnel judgment module, which is used to judge whether the enterprise personnel status is abnormal according to the enterprise personnel status evaluation index and generate an enterprise personnel status signal. Among them, the enterprise personnel status signal includes an enterprise personnel abnormal status signal and an enterprise personnel normal status signal; An enterprise comprehensive evaluation module, which is used to cross-process the enterprise status risk warning signal and the enterprise personnel status signal and generate an enterprise evaluation signal. Among them, the enterprise evaluation signal includes an enterprise evaluation level-1 signal, an enterprise evaluation level-2 signal, and an enterprise evaluation level-3 signal.
[0014] The present invention provides an enterprise analysis and evaluation method and an evaluation system, which have the following beneficial effects compared with the prior art: By analyzing the status of an enterprise and its employees separately, the present invention can not only timely give early warnings about the status of the enterprise and its employees, but also comprehensively analyze the status of the enterprise and its employees to provide a more comprehensive and objective enterprise evaluation for the enterprise, capable of coping with the changing market environment and complex enterprise operation requirements. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Figure 1 It is a flowchart of an enterprise analysis and evaluation method provided by an embodiment of the present invention.
[0016] Figure 2 It is a block diagram of modules of an enterprise analysis and evaluation system provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0017] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0018] The following describes in detail the specific implementation of the present invention with reference to specific embodiments.
[0019] Please refer to Figure 1 , which is an enterprise analysis and evaluation method provided by an embodiment of the present invention, specifically including the following steps: Step S10: Obtain the status data of the enterprise and generate an enterprise status evaluation index; wherein, the status data of the enterprise includes the proportion of enterprise R & D investment, the proportion of enterprise liabilities and the proportion of enterprise net profit. Step S20: According to the enterprise status evaluation index, judge whether the current enterprise status needs to be given a risk early warning, and generate an enterprise status risk early warning signal; wherein, the enterprise status risk early warning signal includes a signal indicating that there is a risk in the enterprise status and a signal indicating that there is no risk in the enterprise status. Step S30: Based on the signal indicating that there is a risk in the enterprise status, obtain the status data of the enterprise employees and generate an enterprise employee status evaluation index; wherein, the data of the enterprise employee status includes the proportion of enterprise talents and the enterprise employee turnover rate. Step S40: According to the enterprise employee status evaluation index, judge whether the enterprise employee status is abnormal, and generate an enterprise employee status signal; wherein, the enterprise employee status signal includes a signal indicating an abnormal status of the enterprise employees and a signal indicating a normal status of the enterprise employees. Step S50: Cross-process the enterprise status risk early warning signal and the enterprise employee status signal to generate an enterprise evaluation signal; wherein, the enterprise evaluation signal includes an enterprise evaluation first-level signal, an enterprise evaluation second-level signal and an enterprise evaluation third-level signal.
[0020] As a preferred embodiment of the present invention, step S10 specifically includes the following steps: S11: Obtain the proportion of a company's R & D investment and generate an R & D investment proportion evaluation index; wherein, the R & D investment proportion refers to the ratio of the total enterprise expenditure to the total R & D expenditure; Among them, the generation method of the R & D investment proportion evaluation index is specifically: Perform a difference operation on the R & D investment proportion of the enterprise and the R & D investment proportion threshold of the enterprise to generate an R & D investment proportion difference; It should be explained that the R & D investment proportion threshold of the enterprise refers to the maximum value of the ratio of the enterprise's R & D expenditure to the total enterprise expenditure under normal conditions, and its value is set by relevant personnel in this field; Perform a ratio operation on the R & D investment proportion difference and the R & D investment proportion threshold of the enterprise to generate an R & D investment proportion evaluation index; Step S12: Obtain the debt ratio of the enterprise and generate an enterprise debt ratio evaluation value; wherein, the enterprise debt ratio refers to the ratio of the enterprise debt value to the total enterprise liquid cash; Among them, the generation method of the enterprise debt ratio evaluation index is specifically: Perform a difference operation on the enterprise debt ratio and the enterprise debt ratio warning value to generate a debt ratio difference; Perform a ratio operation on the debt ratio difference and the enterprise debt ratio warning value to generate an enterprise debt ratio evaluation index; It should be explained that the enterprise debt ratio warning value refers to the maximum value of the enterprise debt ratio that the enterprise can bear, and its value is set by relevant personnel in this field; in addition, debts include the enterprise loan amount, unpaid wages of current employees, etc.; Step S13: Obtain the profit ratio of the enterprise and generate an enterprise profit ratio evaluation index; wherein, the enterprise profit ratio refers to the ratio of the enterprise's net profit to the total business volume; Among them, the generation method of the enterprise profit ratio evaluation index is specifically: Compare the enterprise profit ratio with the enterprise profit ratio warning value; If the enterprise profit ratio is less than the enterprise profit ratio warning value, perform a difference operation on the enterprise profit ratio and the enterprise profit ratio warning value to generate a profit ratio difference; wherein, the enterprise profit ratio warning value refers to the minimum value at which the enterprise profit ratio reaches the warning level; It should be explained that the value of the enterprise profit ratio warning value is set by relevant personnel in this field; Perform a ratio operation on the profit ratio difference and the enterprise profit ratio warning value to generate an enterprise profit ratio evaluation index; Step S14: Perform weighted processing on the R & D investment ratio evaluation index, the corporate debt ratio evaluation index, and the corporate profit ratio evaluation index to generate the corporate status evaluation index; Exemplarily, through the formula , generate the corporate status evaluation index Kz; In the formula, the B Investment represents the R & D investment ratio evaluation index, B Liabilities represents the corporate debt ratio evaluation index, B profit represents the corporate profit ratio evaluation index, and a1, a2, and a3 are all weight coefficients, and a1 + a2 + a3 = 1.
[0021] As a preferred embodiment of the present invention, the judgment method of the step S20 is specifically as follows: Compare the corporate status evaluation index Kz with the corporate status evaluation index threshold; It should be explained that the acquisition method of the corporate status evaluation index threshold is the same as that of the corporate status evaluation index Kz, which will not be elaborated here, and its value is set by relevant personnel in the field; If the corporate status evaluation index Kz is less than or equal to the corporate status evaluation index threshold, it means that the smaller the corporate status evaluation index Kz, the better the corporate status, and a corporate status risk signal is not generated; If the corporate status evaluation index Kz is greater than or equal to the corporate status evaluation index threshold, it means that the larger the corporate status evaluation index Kz, the worse the corporate status, and a corporate status risk signal is generated.
[0022] As a preferred embodiment of the present invention, the step S30 specifically includes the following steps: Step S31: Obtain the corporate talent ratio and generate the corporate talent evaluation index; wherein, the corporate talent ratio refers to the ratio of corporate talents to the total number of corporate employees; Among them, the generation method of the corporate talent evaluation index specifically includes: Perform a difference process on the corporate talent ratio and the set value of the corporate talent ratio to generate a talent ratio difference; Perform a ratio process on the talent ratio difference and the set value of the corporate talent ratio to generate the corporate talent evaluation index; It should be explained that the value of the set value of the corporate talent ratio is determined by relevant personnel in the field according to the minimum talent requirements of the enterprise; in addition, the setting methods of talents include but are not limited to employee education level, employee working years, employee work efficiency, etc.; Step S32: Obtain the corporate personnel turnover rate and generate the corporate personnel turnover evaluation index; Among them, the generation method of the corporate personnel turnover evaluation index is specifically: Calculate the difference between the enterprise personnel turnover rate and the warning value of the enterprise personnel turnover rate to generate the difference of the enterprise personnel turnover rate; Calculate the ratio of the difference of the enterprise personnel turnover rate to the warning value of the enterprise personnel turnover rate to generate the enterprise personnel mobility evaluation index; It should be noted that the enterprise personnel turnover rate refers to the ratio of the number of enterprise personnel turnover to the total number of enterprise employees, and turnover means leaving the enterprise by means of resignation, contract termination, etc.; Step S33: Perform weighted processing on the enterprise talent evaluation index and the enterprise personnel mobility evaluation index to generate the enterprise personnel status evaluation index; Exemplarily, through the formula , generate the enterprise personnel status evaluation index Kr; In the formula, Rc represents the enterprise talent evaluation index, Rd represents the enterprise personnel mobility evaluation index, α and β are both weight coefficients, and α + β = 1.
[0023] As a preferred embodiment of the present invention, the judgment method of step S40 is specifically as follows: Compare the enterprise personnel status evaluation index Kr with the threshold of the enterprise personnel status evaluation index; It should be noted that the acquisition method of the threshold of the enterprise personnel status evaluation index is the same as that of the enterprise personnel status evaluation index Kr, which will not be elaborated here, and its value is set by relevant personnel in the field; If the enterprise personnel status evaluation index Kr is less than or equal to the threshold of the enterprise personnel status evaluation index, it means that the smaller the enterprise personnel status evaluation index Kr, the more normal the status of the enterprise personnel, and then generate the enterprise personnel normal status signal; If the enterprise personnel status evaluation index Kr is greater than the threshold of the enterprise personnel status evaluation index, it means that the larger the enterprise personnel status evaluation index Kr, the more abnormal the status of the enterprise personnel, and then generate the enterprise personnel abnormal status signal.
[0024] As a preferred embodiment of the present invention, the cross-processing method in step S50 is specifically as follows: Perform cross-processing on the enterprise status risk warning signal and the enterprise personnel status signal. If the enterprise status risk-free signal and the enterprise personnel normal status signal are obtained at the same time, it means that there is no abnormality in the enterprise currently, and then generate the enterprise evaluation first-level signal; If the enterprise status risk signal and the enterprise personnel normal status signal or the enterprise status risk-free signal and the enterprise personnel abnormal status signal are obtained at the same time, it means that there is an abnormal risk in the enterprise currently, and then generate the enterprise evaluation second-level signal; when receiving the enterprise evaluation second-level signal, it is necessary to give a warning to the enterprise, and the warning methods include but are not limited to yellow status reminder, warning pop-up window notification, etc.; If both the enterprise status risk signal and the enterprise personnel abnormal status signal are obtained at the same time, indicating that there is no abnormality in the enterprise at present, a third-level enterprise evaluation signal is generated; when a third-level enterprise evaluation signal is received, the enterprise needs to be alerted, and the alarm methods include but are not limited to red alarms, voice alarms, and warning pop-up windows pinned to the top.
[0025] See also Figure 2 The present invention also provides an enterprise analysis and evaluation system, the system comprising: The enterprise status evaluation unit is used to obtain the enterprise status data and generate the enterprise status evaluation index; the enterprise status data includes the proportion of enterprise R&D investment, the proportion of enterprise liabilities and the proportion of enterprise net profit; The enterprise status judgment module is used to judge whether the current enterprise status needs risk warning according to the enterprise status evaluation index, and generate enterprise status risk warning signals; wherein the enterprise status risk warning signals include enterprise status risk existence signals and enterprise status non-risk existence signals; An enterprise personnel evaluation unit is used to obtain enterprise personnel status data based on the risk signal of the enterprise status and generate an enterprise personnel status evaluation index; wherein the enterprise personnel status data includes the proportion of enterprise talents and the enterprise personnel turnover rate; An enterprise personnel judgment module is used to judge whether the enterprise personnel status is abnormal according to the enterprise personnel status evaluation index, and generate an enterprise personnel status signal; wherein the enterprise personnel status signal includes an enterprise personnel abnormal status signal and an enterprise personnel normal status signal; The enterprise comprehensive evaluation module is used to cross-process the enterprise status risk warning signal and the enterprise personnel status signal to generate an enterprise evaluation signal; wherein the enterprise evaluation signal includes the enterprise evaluation first-level signal, the enterprise evaluation second-level signal and the enterprise evaluation third-level signal.
[0026] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A method for analyzing and evaluating an enterprise, characterized in that: The following steps are involved: Step S10: Acquire the enterprise's status data and generate an enterprise status evaluation index; wherein the enterprise's status data includes the proportion of enterprise R&D investment, the proportion of enterprise liabilities and the proportion of enterprise net profit; Step S20: judging whether the current enterprise status requires risk warning according to the enterprise status evaluation index, and generating an enterprise status risk warning signal; wherein the enterprise status risk warning signal includes an enterprise status risk existence signal and an enterprise status risk non-existence signal; Step S30: based on the risk signal of the enterprise status, obtaining the status data of the enterprise personnel and generating the enterprise personnel status evaluation index; wherein the enterprise personnel status data includes the proportion of enterprise talents and the enterprise personnel turnover rate; Step S40: judging whether the enterprise personnel status is abnormal according to the enterprise personnel status evaluation index, and generating an enterprise personnel status signal; wherein the enterprise personnel status signal includes an enterprise personnel abnormal status signal and an enterprise personnel normal status signal; Step S50: cross-processing the enterprise status risk warning signal and the enterprise personnel status signal to generate an enterprise evaluation signal; wherein the enterprise evaluation signal includes an enterprise evaluation level 1 signal, an enterprise evaluation level 2 signal and an enterprise evaluation level 3 signal.
2. The enterprise analysis and evaluation method according to claim 1, characterized in that: The step S10 specifically includes the following steps: S11: Obtain the proportion of R&D investment of the enterprise and generate an evaluation index of the proportion of R&D investment; wherein the proportion of R&D investment refers to the ratio of the total value of enterprise expenditure to the total value of R&D expenditure; Step S12: Obtain the enterprise debt ratio and generate an enterprise debt ratio assessment value; wherein the enterprise debt ratio refers to the ratio of the enterprise debt value to the total value of the enterprise's liquid cash; Step S13: Obtaining the enterprise profit ratio and generating an enterprise profit ratio evaluation index; wherein the enterprise profit ratio refers to the ratio of the enterprise's net profit to its total operating volume; Step S14: By formula , generate the enterprise status evaluation index Kz; In the formula, the B Investment It represents the evaluation index of R&D investment ratio, B Liabilities It represents the evaluation index of enterprise debt ratio, B profit It represents the evaluation index of enterprise profit ratio, a1, a2, a3 are all weight coefficients, and a1+a2+a3=1.
3. The enterprise analysis and evaluation method according to claim 2, characterized in that: The specific method for generating the R&D investment ratio evaluation index is as follows: Perform difference processing on the enterprise's R&D investment ratio and the enterprise's R&D investment ratio threshold to generate the R&D investment ratio difference; The difference in the proportion of R&D investment is compared with the threshold of the proportion of R&D investment of the enterprise to generate an evaluation index of the proportion of R&D investment; The specific method for generating the enterprise debt ratio evaluation index is as follows: The difference between the enterprise debt ratio and the enterprise debt ratio warning value is processed to generate the debt ratio difference; The debt ratio difference is processed with the enterprise debt ratio warning value to generate the enterprise debt ratio evaluation index; The specific method for generating the enterprise profit ratio evaluation index is as follows: Compare the enterprise profit ratio with the enterprise profit ratio warning value; If the enterprise profit ratio is less than the enterprise profit ratio warning value, the enterprise profit ratio and the enterprise profit ratio warning value are processed to generate the profit ratio difference; wherein, the enterprise profit ratio warning value refers to the minimum value at which the enterprise profit ratio reaches the warning value; The profit share difference is compared with the enterprise profit share warning value to generate the enterprise profit share evaluation index.
4. The enterprise analysis and evaluation method according to claim 2, characterized in that: The determination method of step S20 is specifically as follows: Compare the enterprise status evaluation index Kz with the enterprise status evaluation index threshold; If the enterprise status evaluation index Kz is less than or equal to the enterprise status evaluation index threshold, it means that the smaller the enterprise status evaluation index Kz is, the better the enterprise status is, and a risk signal that the enterprise status does not exist is generated; If the enterprise status evaluation index Kz is greater than or equal to the enterprise status evaluation index threshold, it means that the larger the enterprise status evaluation index Kz is, the worse the enterprise status is, and a risk signal for the enterprise status is generated.
5. The enterprise analysis and evaluation method according to claim 1, characterized in that: The step S30 specifically includes the following steps: Step S31: Obtaining the proportion of enterprise talents and generating an enterprise talent evaluation index; wherein the proportion of enterprise talents refers to the ratio of enterprise talents to the total number of enterprise employees; Step S32: Obtaining the enterprise staff turnover rate and generating an enterprise staff turnover evaluation index; Step S33: By formula , generate enterprise personnel status evaluation index Kr; In the formula, Rc represents the enterprise talent evaluation index, Rd represents the enterprise personnel turnover evaluation index, α and β are weight coefficients, and α+β=1.
6. The enterprise analysis and evaluation method according to claim 5, characterized in that: The generation method of the enterprise talent evaluation index specifically includes: Perform difference processing on the talent ratio of the enterprise and the set value of the talent ratio of the enterprise to generate the talent ratio difference; The talent ratio difference is processed with the set value of the enterprise talent ratio to generate the enterprise talent evaluation index; The specific method for generating the enterprise personnel flow evaluation index is as follows: Perform difference processing on the enterprise staff turnover rate and the enterprise staff turnover rate warning value to generate the enterprise staff turnover rate difference; The enterprise staff turnover rate difference is processed by ratio processing with the enterprise staff turnover rate warning value to generate the enterprise staff turnover evaluation index.
7. The enterprise analysis and evaluation method according to claim 5, characterized in that: The determination method of step S40 is specifically as follows: Compare the enterprise personnel status evaluation index Kr with the enterprise personnel status evaluation index threshold; If the enterprise personnel status evaluation index Kr is less than or equal to the enterprise personnel status evaluation index threshold, it means that the smaller the enterprise personnel status evaluation index Kr is, the more normal the status of the enterprise personnel is, and a normal status signal of the enterprise personnel is generated; If the enterprise personnel status evaluation index Kr is greater than the enterprise personnel status evaluation index threshold, it means that the larger the enterprise personnel status evaluation index Kr is, the more abnormal the status of the enterprise personnel is, and an enterprise personnel abnormal status signal is generated.
8. The enterprise analysis and evaluation method according to claim 1, characterized in that: The cross processing in step S50 is specifically as follows: The enterprise status risk warning signal and the enterprise personnel status signal are cross-processed. If both the enterprise status risk-free signal and the enterprise personnel normal status signal are obtained at the same time, it means that the enterprise is currently normal, and a first-level enterprise evaluation signal is generated; If both the enterprise status risk signal and the enterprise personnel normal status signal are obtained, or the enterprise status risk signal and the enterprise personnel abnormal status signal are obtained, it means that the enterprise currently has abnormal risks, and a secondary enterprise evaluation signal is generated; If both the enterprise status risk signal and the enterprise personnel abnormal status signal are obtained at the same time, it means that there is no abnormality in the enterprise at present, and a third-level enterprise evaluation signal is generated.
9. An enterprise analysis and evaluation system, characterized in that: The system is used to execute the method described in any one of claims 1 to 8, and the system comprises: The enterprise status evaluation unit is used to obtain the enterprise status data and generate the enterprise status evaluation index; the enterprise status data includes the proportion of enterprise R&D investment, the proportion of enterprise liabilities and the proportion of enterprise net profit; The enterprise status judgment module is used to judge whether the current enterprise status needs risk warning according to the enterprise status evaluation index, and generate enterprise status risk warning signals; wherein the enterprise status risk warning signals include enterprise status risk existence signals and enterprise status non-risk existence signals; An enterprise personnel evaluation unit is used to obtain enterprise personnel status data based on the risk signal of the enterprise status and generate an enterprise personnel status evaluation index; wherein the enterprise personnel status data includes the proportion of enterprise talents and the enterprise personnel turnover rate; An enterprise personnel judgment module is used to judge whether the enterprise personnel status is abnormal according to the enterprise personnel status evaluation index, and generate an enterprise personnel status signal; wherein the enterprise personnel status signal includes an enterprise personnel abnormal status signal and an enterprise personnel normal status signal; The enterprise comprehensive evaluation module is used to cross-process the enterprise status risk warning signal and the enterprise personnel status signal to generate an enterprise evaluation signal; wherein the enterprise evaluation signal includes the enterprise evaluation first-level signal, the enterprise evaluation second-level signal and the enterprise evaluation third-level signal.