Enterprise management comprehensive evaluation method and evaluation system thereof

Abstract

The invention discloses an enterprise management comprehensive evaluation method and system, and belongs to the technical field of enterprise management, and the method comprises the steps: obtaining customer remittance data and customer management data, and generating a customer remittance evaluation index; according to the customer remittance evaluation index, generating a remittance state signal; based on the remittance abnormal signal, obtaining work data of the enterprise employees, and generating an enterprise employee state evaluation index; according to the enterprise employee state evaluation index, generating an enterprise employee state signal; according to the enterprise employee state evaluation index and the customer remittance evaluation index, generating a correlation evaluation index; generating a correlation signal according to the correlation evaluation index; judging whether the management of the enterprise employees is qualified or not according to the relevance signal; according to the invention, problems existing in enterprise management can be identified more accurately, weak links existing in employee management can be revealed, and enterprises can find and correct the problems in employee management in time.

Description

Technical Field

[0001] The present invention belongs to the technical field of enterprise management, and in particular relates to an enterprise management comprehensive evaluation method and an evaluation system thereof. Background Art

[0002] In enterprise management, it is crucial to evaluate the management level and work efficiency of the enterprise.

[0003] Traditional management evaluation methods often focus on single financial indicators or business process indicators, ignoring the mutual influence of multi-dimensional factors in corporate operations. For example, as an important reflection of the financial status of an enterprise, the abnormality of customer remittance status may be related to multiple factors such as customer service and employee work status. At the same time, the work status of employees directly affects the service quality and operational efficiency of the enterprise, but traditional methods often find it difficult to accurately evaluate its impact on the overall management of the enterprise. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an enterprise management comprehensive evaluation method and an evaluation system thereof, which solve the above problems.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a comprehensive evaluation method for enterprise management, comprising the following steps: Step S10: Acquire customer remittance data and customer management data, establish a customer remittance evaluation model, and generate a customer remittance evaluation index; wherein the customer remittance data includes the customer remittance time and the customer remittance amount, and the customer management data includes the number of customer communication calls; customer remittance refers to the customer's settlement of expenses corresponding to the enterprise project; Step S20: judging whether the customer's remittance status is abnormal according to the customer's remittance evaluation index, and generating a remittance status signal; wherein the remittance status signal includes a normal remittance signal and an abnormal remittance signal; Step S30: Based on the abnormal remittance signal, obtain the work data of the enterprise employees and generate the enterprise employee status evaluation index; wherein the work data includes the number of telephone calls between the enterprise employees and customers, the duration of telephone calls between the enterprise employees and customers, the number of offline meetings between the enterprise employees and customers, the frequency of leave of the enterprise employees and the attendance punctuality rate of the enterprise employees; the attendance punctuality rate refers to clocking in at work within the specified time; the enterprise employees refer to the employees corresponding to the customers; Step S40: judging whether the working status of the enterprise employees is abnormal according to the enterprise employee status evaluation index, and generating an enterprise employee status signal; wherein the enterprise employee status signal includes an enterprise employee normal status signal and an enterprise employee abnormal status signal; Step S50: Based on the abnormal status signal of the enterprise employee, the correlation evaluation index is generated according to the enterprise employee status evaluation index and the customer remittance evaluation index; Step S60: judging whether there is a correlation between the customer's remittance and the employee's status according to the correlation evaluation index, and generating a correlation signal; wherein the correlation signal includes a correlation signal and a non-correlation signal; Step S70: judging whether the management of the enterprise employees is qualified according to the correlation signal.

[0006] On the basis of the above technical solution, the present invention also provides the following optional technical solution: Further technical solution: S10 specifically includes the following steps: Step S11: Acquire customer remittance data and customer management data; Step S12: classifying the customer remittance data according to the customer remittance time, and classifying the customers into overdue remittance customers and normal remittance customers; The classification method is as follows: the time when the customer's remittance amount is reached is compared with the scheduled time. If it exceeds the scheduled time, the customer is classified as a remittance overdue customer, and if it does not exceed the scheduled time, the customer is classified as a normal remittance customer; if the remittance amount is not reached and exceeds the scheduled date, the current time is regarded as the end time of the remittance amount, and the customer is classified as a remittance overdue customer; Step S13: generating an overdue time evaluation index according to the remittance time of the overdue remittance customer; Step S14: generating an overdue amount evaluation index according to the remittance amount of the overdue remittance customer; Step S15: generating a customer overdue attitude evaluation index based on the number of communication calls with customers who have overdue remittances; Step S16: Generate a customer remittance evaluation index based on the overdue duration evaluation index, the overdue amount evaluation index and the customer overdue attitude evaluation index.

[0007] Further technical solution: The method for generating the overdue duration evaluation index is specifically as follows: Generate the customer's remittance overdue duration based on the remittance time of the customer; The difference between the overdue time of the customer's remittance and the maximum overdue period is processed to generate the time difference; The time difference is compared with the maximum overdue period to generate an overdue time evaluation index; The overdue amount evaluation index is generated in the following manner: The difference between the remittance amount of the overdue customer and the required total remittance amount is processed to generate the overdue remittance amount; The overdue amount of remittance is compared with the total amount of remittance required to generate an overdue amount evaluation index; The method for generating the customer overdue attitude evaluation index is specifically as follows: The difference between the number of calls made to customers with overdue remittances and the total number of calls is calculated to generate the difference in the number of calls; the total number of calls refers to the sum of the number of answered and missed calls; The difference in the number of communications is compared with the total number of calls to generate a customer overdue attitude evaluation index; The method for generating the customer remittance evaluation index is specifically as follows: The overdue duration evaluation index, overdue amount evaluation index and customer overdue attitude evaluation index are weighted to generate the customer remittance evaluation index.

[0008] Further technical solution: The determination method of step S20 is specifically as follows: The customer remittance evaluation index is compared with the customer remittance evaluation index threshold. If the customer remittance evaluation index is greater than the customer remittance evaluation index threshold, it means that the larger the customer remittance evaluation index is, the more abnormal the customer remittance status is, and a remittance abnormality signal is generated.

[0009] Further technical solution: Step S30 specifically includes the following steps: S31: Based on the abnormal remittance signal, obtain the number of phone calls between enterprise employees and customers, the duration of phone calls between enterprise employees and customers, the number of offline meetings between enterprise employees and customers, the frequency of leave taken by enterprise employees, and the punctual attendance rate of enterprise employees; the punctual attendance rate refers to clocking in at work within the specified time; Step S32: Generate a telephone communication frequency evaluation index based on the number of telephone communication times between enterprise employees and customers; Step S33: generating a telephone communication duration evaluation index according to the telephone communication duration between the enterprise employee and the customer; Step S34: generating an offline meeting frequency evaluation index according to the number of offline meetings between enterprise employees and customers; Step S35: Establish an employee status evaluation model, substitute the telephone communication frequency evaluation index, the telephone communication duration evaluation index, the offline meeting frequency evaluation index, the employee leave frequency and the employee attendance punctuality rate into the employee status evaluation model to generate the employee status evaluation index; the employee leave frequency refers to the ratio of the employee leave days to the total working days, and the employee attendance punctuality rate refers to the ratio of the employee on-time working days to the total working days; Among them, the expression of the employee status evaluation model is: ; In the expression, ESI represents the employee status evaluation index, Ds represents the telephone communication frequency evaluation index, Dt represents the telephone communication duration evaluation index, Xs represents the offline meeting frequency evaluation index, L represents the employee leave frequency, P represents the employee attendance punctuality rate, and a1, a2, and a3 are all model coefficients.

[0010] Further technical solution: The method for generating the telephone communication frequency evaluation index is specifically as follows: The difference between the number of telephone calls between enterprise employees and customers and the set value of the number of telephone calls is processed to generate a deviation value of the number of communication times; The deviation value of the number of communication times is compared with the set value of the number of telephone communication times to generate an evaluation index of the number of telephone communication times; The communication call duration evaluation index is generated in the following manner: The difference between the communication time between the enterprise employees and customers and the set value of the communication time is processed to generate the deviation value of the communication time. The deviation value of the communication phone duration is compared with the set value of the communication phone duration to generate a communication phone duration evaluation index; The offline meeting frequency evaluation index is generated in the following manner: The number of offline meetings between enterprise employees and customers is processed with the set value of the number of meetings to generate a deviation value of the number of meetings; The deviation value of the number of meetings is compared with the set value of the number of meetings to generate an offline meeting evaluation index.

[0011] Further technical solution: The determination method of step S40 is specifically as follows: The enterprise employee status evaluation index is compared with the enterprise employee status evaluation index threshold. If the enterprise employee status evaluation index is greater than the enterprise employee status evaluation index threshold, it means that the larger the enterprise employee status evaluation index is, the worse the working status of the enterprise employees is, and an enterprise employee status abnormal signal is generated.

[0012] Further technical solution: Step S50 specifically includes the following steps: Step S51: obtaining the customer remittance evaluation index of all customers of the enterprise and the enterprise employee status evaluation index of all employees of the enterprise; Step S52: performing a ratio processing on the customer remittance evaluation index and the enterprise employee status evaluation index of the corresponding enterprise employee to generate a correlation coefficient between the customer and the enterprise employee; Step S53: performing variance processing on the correlation coefficients between all customers and enterprise employees to generate correlation coefficient fluctuation values; Step S54: performing difference processing on the correlation coefficient fluctuation value and the proximal end point of the correlation coefficient fluctuation error range to generate a fluctuation difference; Step S55: perform ratio processing on the fluctuation difference and the near end point of the fluctuation error range of the correlation coefficient to generate a correlation evaluation index.

[0013] Further technical solution: The determination method of step S60 is specifically as follows: Compare the relevance evaluation index with the relevance evaluation index threshold, if the relevance evaluation index is less than or equal to the relevance evaluation index threshold, it means that the smaller the relevance evaluation index is, the stronger the relevance between the customer remittance and the employee status is, and a relevance signal is generated; If the correlation evaluation index is greater than the correlation evaluation index threshold, it means that the smaller the correlation evaluation index is, the stronger the correlation between the customer remittance and the employee status is, and a no-correlation signal is generated; Wherein, the step S70 specifically includes: When a correlation signal is received, it means that the status of the enterprise's employees has a great impact on the timeliness of customer remittances, and the management of the enterprise's employees is unqualified; When a non-correlation signal is received, it indicates that the status of the enterprise's employees has little impact on the timeliness of customer remittances.

[0014] A comprehensive evaluation system for enterprise management, the system comprising: A customer remittance analysis unit is used to obtain customer remittance data and customer management data, establish a customer remittance evaluation model, and generate a customer remittance evaluation index; wherein the customer remittance data includes the customer remittance time and the customer remittance amount, and the customer management data includes the number of customer communication calls; customer remittance refers to the settlement of expenses corresponding to the enterprise project by the customer; A customer remittance evaluation module is used to determine whether the customer's remittance status is abnormal according to the customer remittance evaluation index, and generate a remittance status signal; wherein the remittance status signal includes a normal remittance signal and an abnormal remittance signal; The enterprise employee analysis unit is used to obtain the work data of enterprise employees based on the abnormal remittance signal and generate the enterprise employee status evaluation index; the work data includes the number of telephone calls between enterprise employees and customers, the duration of telephone calls between enterprise employees and customers, the number of offline meetings between enterprise employees and customers, the frequency of leave of enterprise employees and the attendance punctuality rate of enterprise employees; the attendance punctuality rate refers to clocking in at work within the specified time; enterprise employees refer to employees corresponding to customers; An enterprise employee evaluation module is used to determine whether the working status of an enterprise employee is abnormal according to the enterprise employee status evaluation index, and generate an enterprise employee status signal; wherein the enterprise employee status signal includes an enterprise employee normal status signal and an enterprise employee abnormal status signal; A correlation analysis unit, for generating a correlation evaluation index based on an abnormal status signal of an enterprise employee, an enterprise employee status evaluation index and a customer remittance evaluation index; A correlation judgment module is used to judge whether there is a correlation between the customer's remittance and the employee's status according to the correlation evaluation index, and generate a correlation signal; wherein the correlation signal includes a correlation signal and a non-correlation signal; The management evaluation module is used to determine whether the management of enterprise employees is qualified based on the correlation signal; Wherein, the customer remittance analysis unit specifically includes: Customer payment data acquisition module, used to obtain customer remittance data and customer management data; The customer classification module is used to classify customer remittance data according to the customer remittance time, and classify customers into overdue remittance customers and normal remittance customers; The remittance overdue time analysis module is used to generate an overdue time evaluation index based on the remittance time of the overdue remittance customer; The remittance overdue amount analysis module is used to generate an overdue amount evaluation index based on the remittance amount of customers with overdue remittances; The customer overdue attitude analysis module is used to generate a customer overdue attitude evaluation index based on the number of communication calls with customers who have overdue remittances; A customer remittance evaluation index generation module is used to generate a customer remittance evaluation index based on an overdue duration evaluation index, an overdue amount evaluation index, and a customer overdue attitude evaluation index; The enterprise employee analysis unit specifically includes: The enterprise employee data acquisition module is used to obtain the number of telephone calls between enterprise employees and customers, the duration of telephone calls between enterprise employees and customers, the number of offline meetings between enterprise employees and customers, the frequency of leave taken by enterprise employees, and the punctual attendance rate of enterprise employees based on abnormal remittance signals; the punctual attendance rate refers to clocking in at work within the specified time; The telephone communication frequency analysis module is used to generate a telephone communication frequency evaluation index based on the number of telephone communications between enterprise employees and customers; The communication phone duration analysis module is used to generate a communication phone duration evaluation index based on the communication time between enterprise employees and customers; The offline meeting frequency analysis module is used to generate an offline meeting frequency evaluation index based on the offline meeting frequency between enterprise employees and customers; The enterprise employee status evaluation index generation module is used to establish an employee status evaluation model, and substitute the telephone communication frequency evaluation index, telephone communication duration evaluation index, offline meeting frequency evaluation index, enterprise employee leave frequency and enterprise employee attendance punctuality rate into the employee status evaluation model to generate the enterprise employee status evaluation index; the enterprise employee leave frequency refers to the ratio of the number of leave days for enterprise employees to the total working days, and the enterprise employee attendance punctuality rate refers to the ratio of the number of days that enterprise employees go to work on time to the total working days; Wherein, the correlation analysis unit specifically includes: A multiple data acquisition module is used to obtain the customer remittance evaluation index of all customers of the enterprise and the enterprise employee status evaluation index of all employees of the enterprise; A correlation coefficient generation module is used to compare the customer remittance evaluation index with the enterprise employee status evaluation index of the corresponding enterprise employee to generate a correlation coefficient between the customer and the enterprise employee; The correlation coefficient analysis module is used to perform variance processing on the correlation coefficients between all customers and enterprise employees to generate correlation coefficient fluctuation values; The fluctuation value analysis module is used to perform difference processing on the correlation coefficient fluctuation value and the proximal end point of the correlation coefficient fluctuation error range to generate a fluctuation difference; The correlation evaluation index generation module is used to perform ratio processing on the fluctuation difference and the near end point of the correlation coefficient fluctuation error range to generate the correlation evaluation index.

[0015] The present invention provides a comprehensive evaluation method and evaluation system for enterprise management, which have the following beneficial effects compared with the prior art: The present invention can more accurately identify problems existing in enterprise management by comprehensively considering the customer remittance status and the employee work status, and also help enterprises to more comprehensively understand the reasons for abnormal customer remittances, so as to take more effective measures to deal with them; The present invention can reveal the weak links in employee management by analyzing the connection between the employee's work status and the customer's remittance status, so that the enterprise can timely discover and correct the problems in employee management, which is helpful to improve the work enthusiasm and efficiency of employees. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flowchart of a comprehensive enterprise management evaluation method provided by an embodiment of the present invention.

[0017] Figure 2 A module block diagram of a comprehensive enterprise management evaluation system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with 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 intended to limit the present invention.

[0019] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0020] See also Figure 1 , a comprehensive evaluation method for enterprise management provided by an embodiment of the present invention, comprising the following steps: Step S10: Acquire customer remittance data and customer management data, establish a customer remittance evaluation model, and generate a customer remittance evaluation index; wherein the customer remittance data includes the customer remittance time and the customer remittance amount, and the customer management data includes the number of customer communication calls; customer remittance refers to the customer's settlement of expenses corresponding to the enterprise project; Step S20: judging whether the customer's remittance status is abnormal according to the customer's remittance evaluation index, and generating a remittance status signal; wherein the remittance status signal includes a normal remittance signal and an abnormal remittance signal; Step S30: Based on the abnormal remittance signal, obtain the work data of the enterprise employees and generate the enterprise employee status evaluation index; wherein the work data includes the number of telephone calls between the enterprise employees and customers, the duration of telephone calls between the enterprise employees and customers, the number of offline meetings between the enterprise employees and customers, the frequency of leave of the enterprise employees and the attendance punctuality rate of the enterprise employees; the attendance punctuality rate refers to clocking in at work within the specified time; the enterprise employees refer to the employees corresponding to the customers; Step S40: judging whether the working status of the enterprise employees is abnormal according to the enterprise employee status evaluation index, and generating an enterprise employee status signal; wherein the enterprise employee status signal includes an enterprise employee normal status signal and an enterprise employee abnormal status signal; Step S50: Based on the abnormal status signal of the enterprise employee, the correlation evaluation index is generated according to the enterprise employee status evaluation index and the customer remittance evaluation index; Step S60: judging whether there is a correlation between the customer's remittance and the employee's status according to the correlation evaluation index, and generating a correlation signal; wherein the correlation signal includes a correlation signal and a non-correlation signal; Step S70: judging whether the management of the enterprise employees is qualified according to the correlation signal.

[0021] As a preferred embodiment of the present invention, the S10 specifically includes the following steps: Step S11: Acquire customer remittance data and customer management data; Customer remittance data can be retrieved from the company's financial statements; customer management data can be retrieved from the company's management statements; Step S12: classifying the customer remittance data according to the customer remittance time, and classifying the customers into overdue remittance customers and normal remittance customers; The classification method is as follows: the time when the customer's remittance amount is reached is compared with the scheduled time. If it exceeds the scheduled time, the customer is classified as a remittance overdue customer, and if it does not exceed the scheduled time, the customer is classified as a normal remittance customer; if the remittance amount is not reached and exceeds the scheduled date, the current time is regarded as the end time of the remittance amount, and the customer is classified as a remittance overdue customer; Step S13: generating an overdue time evaluation index according to the remittance time of the overdue remittance customer; Step S14: generating an overdue amount evaluation index according to the remittance amount of the overdue remittance customer; Step S15: generating a customer overdue attitude evaluation index based on the number of communication calls with customers who have overdue remittances; Step S16: Generate a customer remittance evaluation index based on the overdue duration evaluation index, the overdue amount evaluation index and the customer overdue attitude evaluation index.

[0022] As a preferred embodiment of the present invention, the overdue duration evaluation index is generated in the following manner: Generate the customer's remittance overdue duration based on the remittance time of the customer; The difference between the overdue time of the customer's remittance and the overdue time is processed to generate the time difference; The time difference is compared with the maximum overdue period to generate an overdue time evaluation index; The overdue amount evaluation index is generated in the following manner: The difference between the remittance amount of the overdue customer and the required total remittance amount is processed to generate the overdue remittance amount; The overdue amount of remittance is compared with the total amount of remittance required to generate an overdue amount evaluation index; The method for generating the customer overdue attitude evaluation index is specifically as follows: The difference between the number of calls made to customers with overdue remittances and the total number of calls is calculated to generate the difference in the number of calls; the total number of calls refers to the sum of the number of answered and missed calls; The difference in the number of communications is compared with the total number of calls to generate a customer overdue attitude evaluation index; The method for generating the customer remittance evaluation index is specifically as follows: The overdue duration evaluation index, overdue amount evaluation index and customer overdue attitude evaluation index are weighted to generate the customer remittance evaluation index.

[0023] As a preferred embodiment of the present invention, the determination method of step S20 is specifically as follows: Compare the customer remittance evaluation index with the customer remittance evaluation index threshold, if the customer remittance evaluation index is less than or equal to the customer remittance evaluation index threshold, it means that the smaller the customer remittance evaluation index is, the more normal the customer remittance status is, and a normal remittance signal is generated; If the customer remittance evaluation index is greater than the customer remittance evaluation index threshold, it means that the larger the customer remittance evaluation index is, the more abnormal the customer remittance status is, and a remittance abnormality signal is generated; It needs to be explained that the method of obtaining the customer remittance evaluation index threshold is consistent with the method of obtaining the customer remittance evaluation index, and its value is set by relevant personnel in this field; in addition, the consistent acquisition method means the consistent calculation method, and the numerical value needs to be set by oneself.

[0024] As a preferred embodiment of the present invention, step S30 specifically includes the following steps: S31: Based on the abnormal remittance signal, obtain the number of phone calls between enterprise employees and customers, the duration of phone calls between enterprise employees and customers, the number of offline meetings between enterprise employees and customers, the frequency of leave taken by enterprise employees, and the punctual attendance rate of enterprise employees; the punctual attendance rate refers to clocking in at work within the specified time; The work data of enterprise employees can be retrieved from the work reports collected daily by the enterprise; Step S32: Generate a telephone communication frequency evaluation index based on the number of telephone communication times between enterprise employees and customers; Step S33: generating a telephone communication duration evaluation index according to the telephone communication duration between the enterprise employee and the customer; Step S34: generating an offline meeting frequency evaluation index according to the number of offline meetings between enterprise employees and customers; Step S35: Establish an employee status evaluation model, substitute the telephone communication frequency evaluation index, the telephone communication duration evaluation index, the offline meeting frequency evaluation index, the employee leave frequency and the employee attendance punctuality rate into the employee status evaluation model to generate the employee status evaluation index; the employee leave frequency refers to the ratio of the employee leave days to the total working days, and the employee attendance punctuality rate refers to the ratio of the employee on-time working days to the total working days; Among them, the expression of the employee status evaluation model is: ; In the expression, ESI represents the employee status evaluation index, Ds represents the telephone communication frequency evaluation index, Dt represents the telephone communication duration evaluation index, Xs represents the offline meeting frequency evaluation index, L represents the employee leave frequency, P represents the employee attendance punctuality rate, and a1, a2, and a3 are all model coefficients; It should be explained that the values ​​of a1, a2, and a3 are set by relevant personnel in this field, and a1+a2+a3 1.

[0025] As a preferred embodiment of the present invention, the method for generating the telephone communication frequency evaluation index is specifically as follows: The difference between the number of telephone calls between enterprise employees and customers and the set value of the number of telephone calls is processed to generate a deviation value of the number of communication times; The deviation value of the number of communication times is compared with the set value of the number of telephone communication times to generate an evaluation index of the number of telephone communication times; The communication call duration evaluation index is generated in the following manner: The difference between the communication time between the enterprise employees and customers and the set value of the communication time is processed to generate the deviation value of the communication time. The deviation value of the communication phone duration is compared with the set value of the communication phone duration to generate a communication phone duration evaluation index; The offline meeting frequency evaluation index is generated in the following manner: The number of offline meetings between enterprise employees and customers is processed with the set value of the number of meetings to generate a deviation value of the number of meetings; The deviation value of the number of meetings is compared with the set value of the number of meetings to generate an offline meeting number evaluation index; It should be explained that the setting values ​​for the number of communication calls, the duration of communication calls and the number of meetings are set by relevant personnel in this field according to the company's management system.

[0026] As a preferred embodiment of the present invention, the determination method of step S40 is specifically as follows: Compare the enterprise employee status evaluation index with the enterprise employee status evaluation index threshold. If the enterprise employee status evaluation index is less than or equal to the enterprise employee status evaluation index threshold, it means that the smaller the enterprise employee status evaluation index is, the better the working state of the enterprise employee is, and a normal enterprise employee status signal is generated. If the enterprise employee status evaluation index is greater than the enterprise employee status evaluation index threshold, it means that the larger the enterprise employee status evaluation index is, the worse the working status of the enterprise employee is, and an enterprise employee status abnormality signal is generated; It should be explained that the method for obtaining the threshold of the enterprise employee status evaluation index is consistent with the method for obtaining the enterprise employee status evaluation index, which will not be repeated here. The value is set by relevant personnel in this field.

[0027] As a preferred embodiment of the present invention, step S50 specifically includes the following steps: Step S51: obtaining the customer remittance evaluation index of all customers of the enterprise and the enterprise employee status evaluation index of all employees of the enterprise; Step S52: performing a ratio processing on the customer remittance evaluation index and the enterprise employee status evaluation index of the corresponding enterprise employee to generate a correlation coefficient between the customer and the enterprise employee; Step S53: performing variance processing on the correlation coefficients between all customers and enterprise employees to generate correlation coefficient fluctuation values; Step S54: performing difference processing on the correlation coefficient fluctuation value and the proximal end point of the correlation coefficient fluctuation error range to generate a fluctuation difference; Step S55: perform ratio processing on the fluctuation difference and the near end point of the fluctuation error range of the correlation coefficient to generate a correlation evaluation index.

[0028] As a preferred embodiment of the present invention, the determination method of step S60 is specifically as follows: Compare the relevance evaluation index with the relevance evaluation index threshold, if the relevance evaluation index is less than or equal to the relevance evaluation index threshold, it means that the smaller the relevance evaluation index is, the stronger the relevance between the customer remittance and the employee status is, and a relevance signal is generated; If the correlation evaluation index is greater than the correlation evaluation index threshold, it means that the smaller the correlation evaluation index is, the stronger the correlation between the customer remittance and the employee status is, and a no-correlation signal is generated; It should be explained that the method for obtaining the relevance evaluation index threshold is the same as the method for obtaining the relevance evaluation index, which will not be repeated here. The value is set by relevant personnel in this field.

[0029] As a preferred embodiment of the present invention, step S70 specifically includes: When a correlation signal is received, it means that the status of the company's employees has a great impact on the timeliness of customer remittances, and the company's employee management is unqualified and needs to be strengthened; When a non-correlation signal is received, it indicates that the status of the enterprise employees has little impact on the timeliness of the customer's remittance, and further analysis is needed on the reasons why the customer's remittance is not timely; wherein, further analysis includes but is not limited to customer assets, customer satisfaction, etc.

[0030] like Figure 2As shown, the present invention also provides a comprehensive evaluation system for enterprise management, the system comprising: A customer remittance analysis unit is used to obtain customer remittance data and customer management data, establish a customer remittance evaluation model, and generate a customer remittance evaluation index; wherein the customer remittance data includes the customer remittance time and the customer remittance amount, and the customer management data includes the number of customer communication calls; customer remittance refers to the settlement of expenses corresponding to the enterprise project by the customer; A customer remittance evaluation module is used to determine whether the customer's remittance status is abnormal according to the customer remittance evaluation index, and generate a remittance status signal; wherein the remittance status signal includes a normal remittance signal and an abnormal remittance signal; The enterprise employee analysis unit is used to obtain the work data of enterprise employees based on the abnormal remittance signal and generate the enterprise employee status evaluation index; the work data includes the number of telephone calls between enterprise employees and customers, the duration of telephone calls between enterprise employees and customers, the number of offline meetings between enterprise employees and customers, the frequency of leave of enterprise employees and the attendance punctuality rate of enterprise employees; the attendance punctuality rate refers to clocking in at work within the specified time; enterprise employees refer to employees corresponding to customers; An enterprise employee evaluation module is used to determine whether the working status of an enterprise employee is abnormal according to the enterprise employee status evaluation index, and generate an enterprise employee status signal; wherein the enterprise employee status signal includes an enterprise employee normal status signal and an enterprise employee abnormal status signal; A correlation analysis unit, for generating a correlation evaluation index based on an abnormal status signal of an enterprise employee, an enterprise employee status evaluation index and a customer remittance evaluation index; A correlation judgment module is used to judge whether there is a correlation between the customer's remittance and the employee's status according to the correlation evaluation index, and generate a correlation signal; wherein the correlation signal includes a correlation signal and a non-correlation signal; The management evaluation module is used to determine whether the management of enterprise employees is qualified based on correlation signals.

[0031] As a preferred embodiment of the present invention, the customer remittance analysis unit specifically includes: Customer payment data acquisition module, used to obtain customer remittance data and customer management data; The customer classification module is used to classify customer remittance data according to the customer remittance time, and classify customers into overdue remittance customers and normal remittance customers; The remittance overdue time analysis module is used to generate an overdue time evaluation index based on the remittance time of the overdue remittance customer; The remittance overdue amount analysis module is used to generate an overdue amount evaluation index based on the remittance amount of customers with overdue remittances; The customer overdue attitude analysis module is used to generate a customer overdue attitude evaluation index based on the number of communication calls with customers who have overdue remittances; A customer remittance evaluation index generation module is used to generate a customer remittance evaluation index based on an overdue duration evaluation index, an overdue amount evaluation index, and a customer overdue attitude evaluation index; The enterprise employee analysis unit specifically includes: The enterprise employee data acquisition module is used to obtain the number of telephone calls between enterprise employees and customers, the duration of telephone calls between enterprise employees and customers, the number of offline meetings between enterprise employees and customers, the frequency of leave taken by enterprise employees, and the punctual attendance rate of enterprise employees based on abnormal remittance signals; the punctual attendance rate refers to clocking in at work within the specified time; The telephone communication frequency analysis module is used to generate a telephone communication frequency evaluation index based on the number of telephone communications between enterprise employees and customers; The communication phone duration analysis module is used to generate a communication phone duration evaluation index based on the communication time between enterprise employees and customers; The offline meeting frequency analysis module is used to generate an offline meeting frequency evaluation index based on the offline meeting frequency between enterprise employees and customers; The enterprise employee status evaluation index generation module is used to establish an employee status evaluation model, and substitute the telephone communication frequency evaluation index, telephone communication duration evaluation index, offline meeting frequency evaluation index, enterprise employee leave frequency and enterprise employee attendance punctuality rate into the employee status evaluation model to generate the enterprise employee status evaluation index; the enterprise employee leave frequency refers to the ratio of the number of leave days for enterprise employees to the total working days, and the enterprise employee attendance punctuality rate refers to the ratio of the number of days that enterprise employees go to work on time to the total working days; Wherein, the correlation analysis unit specifically includes: A multiple data acquisition module is used to obtain the customer remittance evaluation index of all customers of the enterprise and the enterprise employee status evaluation index of all employees of the enterprise; A correlation coefficient generation module is used to compare the customer remittance evaluation index with the enterprise employee status evaluation index of the corresponding enterprise employee to generate a correlation coefficient between the customer and the enterprise employee; The correlation coefficient analysis module is used to perform variance processing on the correlation coefficients between all customers and enterprise employees to generate correlation coefficient fluctuation values; The fluctuation value analysis module is used to perform difference processing on the correlation coefficient fluctuation value and the proximal end point of the correlation coefficient fluctuation error range to generate a fluctuation difference; The correlation evaluation index generation module is used to perform ratio processing on the fluctuation difference and the near end point of the correlation coefficient fluctuation error range to generate the correlation evaluation index.

[0032] 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 comprehensive evaluation method for enterprise management, characterized in that: The following steps are involved: Step S10: Acquire customer remittance data and customer management data, establish a customer remittance evaluation model, and generate a customer remittance evaluation index; wherein the customer remittance data includes the customer remittance time and the customer remittance amount, and the customer management data includes the number of customer communication calls; customer remittance refers to the customer's settlement of expenses corresponding to the enterprise project; Step S20: judging whether the customer's remittance status is abnormal according to the customer's remittance evaluation index, and generating a remittance status signal; wherein the remittance status signal includes a normal remittance signal and an abnormal remittance signal; Step S30: Based on the abnormal remittance signal, obtain the work data of the enterprise employees and generate the enterprise employee status evaluation index; wherein the work data includes the number of telephone calls between the enterprise employees and customers, the duration of telephone calls between the enterprise employees and customers, the number of offline meetings between the enterprise employees and customers, the frequency of leave of the enterprise employees and the attendance punctuality rate of the enterprise employees; the attendance punctuality rate refers to clocking in at work within the specified time; the enterprise employees refer to the employees corresponding to the customers; Step S40: judging whether the working status of the enterprise employees is abnormal according to the enterprise employee status evaluation index, and generating an enterprise employee status signal; wherein the enterprise employee status signal includes an enterprise employee normal status signal and an enterprise employee abnormal status signal; Step S50: Based on the abnormal status signal of the enterprise employee, the correlation evaluation index is generated according to the enterprise employee status evaluation index and the customer remittance evaluation index; Step S60: judging whether there is a correlation between the customer's remittance and the employee's status according to the correlation evaluation index, and generating a correlation signal; wherein the correlation signal includes a correlation signal and a non-correlation signal; Step S70: judging whether the management of the enterprise employees is qualified according to the correlation signal.

2. A comprehensive evaluation method for enterprise management according to claim 1, characterized in that: The S10 specifically includes the following steps: Step S11: Acquire customer remittance data and customer management data; Step S12: classifying the customer remittance data according to the customer remittance time, and classifying the customers into overdue remittance customers and normal remittance customers; The classification method is as follows: the time when the customer's remittance amount is reached is compared with the scheduled time. If it exceeds the scheduled time, the customer is classified as a remittance overdue customer, and if it does not exceed the scheduled time, the customer is classified as a normal remittance customer; if the remittance amount is not reached and exceeds the scheduled date, the current time is regarded as the end time of the remittance amount, and the customer is classified as a remittance overdue customer; Step S13: generating an overdue time evaluation index according to the remittance time of the overdue remittance customer; Step S14: generating an overdue amount evaluation index according to the remittance amount of the overdue remittance customer; Step S15: generating a customer overdue attitude evaluation index based on the number of communication calls with customers who have overdue remittances; Step S16: Generate a customer remittance evaluation index based on the overdue duration evaluation index, the overdue amount evaluation index and the customer overdue attitude evaluation index.

3. A comprehensive evaluation method for enterprise management according to claim 2, characterized in that: The method for generating the overdue duration evaluation index is specifically as follows: Generate the customer's overdue remittance duration based on the remittance time of the customer; The difference between the overdue time of the customer's remittance and the maximum overdue period is processed to generate the time difference; The time difference is compared with the maximum overdue period to generate an overdue time evaluation index; The overdue amount evaluation index is generated in the following manner: The difference between the remittance amount of the overdue customer and the required total remittance amount is processed to generate the overdue remittance amount; The overdue amount of remittance is compared with the total amount of remittance required to generate an overdue amount evaluation index; The method for generating the customer overdue attitude evaluation index is specifically as follows: The difference between the number of calls made to customers with overdue remittances and the total number of calls is calculated to generate the difference in the number of calls; the total number of calls refers to the sum of the number of answered and missed calls; The difference in the number of communications is compared with the total number of calls to generate a customer overdue attitude evaluation index; The method for generating the customer remittance evaluation index is specifically as follows: The overdue duration evaluation index, overdue amount evaluation index and customer overdue attitude evaluation index are weighted to generate the customer remittance evaluation index.

4. The enterprise management comprehensive evaluation method according to claim 2 is characterized in that: The determination method of step S20 is specifically as follows: The customer remittance evaluation index is compared with the customer remittance evaluation index threshold. If the customer remittance evaluation index is greater than the customer remittance evaluation index threshold, it means that the larger the customer remittance evaluation index is, the more abnormal the customer remittance status is, and a remittance abnormality signal is generated.

5. The enterprise management comprehensive evaluation method according to claim 1 is characterized in that: The step S30 specifically includes the following steps: S31: Based on the abnormal remittance signal, obtain the number of phone calls between enterprise employees and customers, the duration of phone calls between enterprise employees and customers, the number of offline meetings between enterprise employees and customers, the frequency of leave taken by enterprise employees, and the punctual attendance rate of enterprise employees; the punctual attendance rate refers to clocking in at work within the specified time; Step S32: Generate a telephone communication frequency evaluation index based on the number of telephone communication times between enterprise employees and customers; Step S33: generating a telephone communication duration evaluation index according to the telephone communication duration between the enterprise employee and the customer; Step S34: generating an offline meeting frequency evaluation index according to the offline meeting frequency between enterprise employees and customers; Step S35: Establish an employee status evaluation model, substitute the telephone communication frequency evaluation index, the telephone communication duration evaluation index, the offline meeting frequency evaluation index, the employee leave frequency and the employee attendance punctuality rate into the employee status evaluation model to generate the employee status evaluation index; the employee leave frequency refers to the ratio of the employee leave days to the total working days, and the employee attendance punctuality rate refers to the ratio of the employee on-time working days to the total working days; Among them, the expression of the employee status evaluation model is: ； In the expression, ESI represents the employee status evaluation index, Ds represents the telephone communication frequency evaluation index, Dt represents the telephone communication duration evaluation index, Xs represents the offline meeting frequency evaluation index, L represents the employee leave frequency, P represents the employee attendance punctuality rate, and a1, a2, and a3 are all model coefficients.

6. A comprehensive evaluation method for enterprise management according to claim 5, characterized in that: The method for generating the telephone communication frequency evaluation index is specifically as follows: The difference between the number of telephone calls between enterprise employees and customers and the set value of the number of telephone calls is processed to generate a deviation value of the number of communication times; The deviation value of the number of communication times is compared with the set value of the number of telephone communication times to generate an evaluation index of the number of telephone communication times; The communication call duration evaluation index is generated in the following manner: The difference between the communication time between the enterprise employees and customers and the set value of the communication time is processed to generate the deviation value of the communication time. The deviation value of the communication phone duration is compared with the set value of the communication phone duration to generate a communication phone duration evaluation index; The offline meeting frequency evaluation index is generated in the following manner: The number of offline meetings between enterprise employees and customers is processed with the set value of the number of meetings to generate a deviation value of the number of meetings; The deviation value of the number of meetings is compared with the set value of the number of meetings to generate an offline meeting evaluation index.

7. The enterprise management comprehensive evaluation method according to claim 5 is characterized in that: The determination method of step S40 is specifically as follows: The enterprise employee status evaluation index is compared with the enterprise employee status evaluation index threshold. If the enterprise employee status evaluation index is greater than the enterprise employee status evaluation index threshold, it means that the larger the enterprise employee status evaluation index is, the worse the working status of the enterprise employees is, and an enterprise employee status abnormal signal is generated.

8. The enterprise management comprehensive evaluation method according to claim 1 is characterized in that: The step S50 specifically includes the following steps: Step S51: obtaining the customer remittance evaluation index of all customers of the enterprise and the enterprise employee status evaluation index of all employees of the enterprise; Step S52: performing a ratio processing on the customer remittance evaluation index and the enterprise employee status evaluation index of the corresponding enterprise employee to generate a correlation coefficient between the customer and the enterprise employee; Step S53: performing variance processing on the correlation coefficients between all customers and enterprise employees to generate correlation coefficient fluctuation values; Step S54: performing difference processing on the correlation coefficient fluctuation value and the proximal end point of the correlation coefficient fluctuation error range to generate a fluctuation difference; Step S55: perform ratio processing on the fluctuation difference and the near end point of the fluctuation error range of the correlation coefficient to generate a correlation evaluation index.

9. The enterprise management comprehensive evaluation method according to claim 1 is characterized in that: The determination method of step S60 is specifically as follows: Compare the relevance evaluation index with the relevance evaluation index threshold, if the relevance evaluation index is less than or equal to the relevance evaluation index threshold, it means that the smaller the relevance evaluation index is, the stronger the relevance between the customer remittance and the employee status is, and a relevance signal is generated; If the correlation evaluation index is greater than the correlation evaluation index threshold, it means that the smaller the correlation evaluation index is, the stronger the correlation between the customer remittance and the employee status is, and a no-correlation signal is generated; Wherein, the step S70 specifically includes: When a correlation signal is received, it means that the status of the enterprise's employees has a great impact on the timeliness of customer remittances, and the management of the enterprise's employees is unqualified; When a non-correlation signal is received, it indicates that the status of the enterprise's employees has little impact on the timeliness of customer remittances.

10. A comprehensive evaluation system for enterprise management, characterized in that: The system includes: A customer remittance analysis unit is used to obtain customer remittance data and customer management data, establish a customer remittance evaluation model, and generate a customer remittance evaluation index; wherein the customer remittance data includes the customer remittance time and the customer remittance amount, and the customer management data includes the number of customer communication calls; customer remittance refers to the settlement of expenses corresponding to the enterprise project by the customer; A customer remittance evaluation module is used to determine whether the customer's remittance status is abnormal according to the customer remittance evaluation index, and generate a remittance status signal; wherein the remittance status signal includes a normal remittance signal and an abnormal remittance signal; The enterprise employee analysis unit is used to obtain the work data of enterprise employees based on the abnormal remittance signal and generate the enterprise employee status evaluation index; the work data includes the number of telephone calls between enterprise employees and customers, the duration of telephone calls between enterprise employees and customers, the number of offline meetings between enterprise employees and customers, the frequency of leave of enterprise employees and the attendance punctuality rate of enterprise employees; the attendance punctuality rate refers to clocking in at work within the specified time; enterprise employees refer to employees corresponding to customers; An enterprise employee evaluation module is used to determine whether the working status of an enterprise employee is abnormal according to the enterprise employee status evaluation index, and generate an enterprise employee status signal; wherein the enterprise employee status signal includes an enterprise employee normal status signal and an enterprise employee abnormal status signal; A correlation analysis unit, for generating a correlation evaluation index based on an abnormal status signal of an enterprise employee, an enterprise employee status evaluation index and a customer remittance evaluation index; A correlation judgment module is used to judge whether there is a correlation between the customer's remittance and the employee's status according to the correlation evaluation index, and generate a correlation signal; wherein the correlation signal includes a correlation signal and a non-correlation signal; The management evaluation module is used to determine whether the management of enterprise employees is qualified based on the correlation signal; Wherein, the customer remittance analysis unit specifically includes: Customer payment data acquisition module, used to obtain customer remittance data and customer management data; The customer classification module is used to classify customer remittance data according to the customer remittance time, and classify customers into overdue remittance customers and normal remittance customers; The remittance overdue time analysis module is used to generate an overdue time evaluation index based on the remittance time of the overdue remittance customer; The remittance overdue amount analysis module is used to generate an overdue amount evaluation index based on the remittance amount of customers with overdue remittances; The customer overdue attitude analysis module is used to generate a customer overdue attitude evaluation index based on the number of communication calls with customers who have overdue remittances; A customer remittance evaluation index generation module is used to generate a customer remittance evaluation index based on an overdue duration evaluation index, an overdue amount evaluation index, and a customer overdue attitude evaluation index; The enterprise employee analysis unit specifically includes: The enterprise employee data acquisition module is used to obtain the number of telephone calls between enterprise employees and customers, the duration of telephone calls between enterprise employees and customers, the number of offline meetings between enterprise employees and customers, the frequency of leave taken by enterprise employees, and the punctual attendance rate of enterprise employees based on abnormal remittance signals; the punctual attendance rate refers to clocking in at work within the specified time; The telephone communication frequency analysis module is used to generate a telephone communication frequency evaluation index based on the number of telephone communications between enterprise employees and customers; The communication phone duration analysis module is used to generate a communication phone duration evaluation index based on the communication time between enterprise employees and customers; The offline meeting frequency analysis module is used to generate an offline meeting frequency evaluation index based on the offline meeting frequency between enterprise employees and customers; The enterprise employee status evaluation index generation module is used to establish an employee status evaluation model, and substitute the telephone communication frequency evaluation index, telephone communication duration evaluation index, offline meeting frequency evaluation index, enterprise employee leave frequency and enterprise employee attendance punctuality rate into the employee status evaluation model to generate the enterprise employee status evaluation index; the enterprise employee leave frequency refers to the ratio of the number of leave days for enterprise employees to the total working days, and the enterprise employee attendance punctuality rate refers to the ratio of the number of days that enterprise employees go to work on time to the total working days; Wherein, the correlation analysis unit specifically includes: A multiple data acquisition module is used to obtain the customer remittance evaluation index of all customers of the enterprise and the enterprise employee status evaluation index of all employees of the enterprise; A correlation coefficient generation module is used to compare the customer remittance evaluation index with the enterprise employee status evaluation index of the corresponding enterprise employee to generate a correlation coefficient between the customer and the enterprise employee; The correlation coefficient analysis module is used to perform variance processing on the correlation coefficients between all customers and enterprise employees to generate correlation coefficient fluctuation values; The fluctuation value analysis module is used to perform difference processing on the correlation coefficient fluctuation value and the proximal end point of the correlation coefficient fluctuation error range to generate a fluctuation difference; The correlation evaluation index generation module is used to perform ratio processing on the fluctuation difference and the proximal end point of the correlation coefficient fluctuation error range to generate a correlation evaluation index.

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