An integrated evaluation method for enterprise management and its evaluation system

Abstract

The present invention discloses a comprehensive evaluation method and evaluation system for enterprise management, belonging to the technical field of enterprise management, including obtaining customer remittance data and customer management data to generate a customer remittance evaluation index; generating a remittance status signal according to the customer remittance evaluation index; obtaining the work data of enterprise employees based on the remittance anomaly signal to generate an enterprise employee status evaluation index; generating an enterprise employee status signal according to the enterprise employee status evaluation index; generating a correlation evaluation index according to the enterprise employee status evaluation index and the customer remittance evaluation index; generating a correlation signal according to the correlation evaluation index; and judging whether the management of enterprise employees is qualified according to the correlation signal. The present invention can more accurately identify the problems existing in enterprise management, and can also reveal the weak links existing in employee management, enabling the enterprise to timely discover and correct the problems in employee management.

Description

Technical Field

[0001] The present invention belongs to the technical field of enterprise management, and particularly relates to a comprehensive evaluation method for enterprise management and its evaluation system. Background Art

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

[0003] Traditional management evaluation methods often focus on single financial indicators or business process indicators, ignoring the mutual influence among multi-dimensional factors in enterprise operation. For example, as an important reflection of an enterprise's financial situation, the abnormal status of customer remittances may be related to various factors such as customer service and employee work status. At the same time, the work status of employees directly affects the service quality and operation efficiency of an enterprise, but traditional methods are often difficult to accurately evaluate its impact on the overall enterprise management. Summary of the Invention

[0004] In view of the deficiencies of the prior art, the present invention provides a comprehensive evaluation method for enterprise management and its evaluation system, which solves the above problems.

[0005] To achieve the above object, the present invention is realized through the following technical solutions: A comprehensive evaluation method for enterprise management includes the following steps:

[0006] Step S10: 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 customer remittance time and customer remittance amount, and the customer management data includes the number of customer communication calls; customer remittance refers to the settlement of fees corresponding to an enterprise project by a customer.

[0007] Step S20: According to the customer remittance evaluation index, judge whether the customer remittance status is abnormal, and generate a remittance status signal; wherein, the remittance status signal includes a normal remittance signal and an abnormal remittance signal.

[0008] Step S30: Based on the abnormal remittance signal, obtain the work data of enterprise employees, and generate an enterprise employee status evaluation index; wherein, the work data includes the number of customer communication calls by enterprise employees, the duration of customer communication calls by enterprise employees, the number of in-person meetings between enterprise employees and customers, the leave frequency of enterprise employees, and the attendance punctuality rate of enterprise employees; the attendance punctuality rate refers to punching in for work within the specified time; enterprise employees refer to the employees corresponding to customers.

[0009] Step S40: According to the enterprise employee status evaluation index, judge whether the work status of enterprise employees is abnormal, and generate an enterprise employee status signal; wherein, the enterprise employee status signal includes an enterprise employee status normal signal and an enterprise employee abnormal status signal.

[0010] Step S50: Generate a correlation evaluation index based on the abnormal status signal of enterprise employees, according to the enterprise employee status evaluation index and the customer remittance evaluation index.

[0011] Step S60: Judge whether there is a correlation between customer remittance and employee 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.

[0012] Step S70: Judge whether the management of enterprise employees is qualified according to the correlation signal.

[0013] Based on the above - mentioned technical solution, the present invention also provides the following optional technical solutions:

[0014] Further technical solution: The S10 specifically includes the following steps:

[0015] Step S11: Obtain customer remittance data and customer management data.

[0016] Step S12: Classify the customer remittance data according to the customer remittance time, and classify the customers into overdue remittance customers and normal remittance customers.

[0017] The classification method is as follows: Compare the time when the customer remittance amount is achieved with the predetermined time. If it exceeds the predetermined time, it is an overdue remittance customer; if it does not exceed, it is a normal remittance customer. If the remittance amount is not achieved and exceeds the predetermined date, the current time is regarded as the end time when the remittance amount is achieved, and it is classified as an overdue remittance customer.

[0018] Step S13: Generate an overdue duration evaluation index according to the remittance time of the overdue remittance customers.

[0019] Step S14: Generate an overdue amount evaluation index according to the remittance amount of the overdue remittance customers.

[0020] Step S15: Generate a customer overdue attitude evaluation index according to the number of communication calls of the overdue remittance customers.

[0021] Step S16: Generate a customer remittance evaluation index according to the overdue duration evaluation index, the overdue amount evaluation index and the customer overdue attitude evaluation index.

[0022] Further technical solution: The specific generation method of the overdue duration evaluation index is as follows:

[0023] Generate the customer remittance overdue duration according to the remittance time of the overdue remittance customers.

[0024] Perform a difference processing on the customer remittance overdue duration and the maximum overdue period to generate a duration difference.

[0025] Process the time difference ratio with the maximum overdue period to generate an overdue time evaluation index;

[0026] Among them, the generation method of the overdue amount evaluation index is specifically as follows:

[0027] Process the difference between the remittance amount of the remittance overdue customer and the total remittance amount required to generate the remittance overdue amount;

[0028] Process the ratio of the remittance overdue amount to the total remittance amount required to generate an overdue amount evaluation index;

[0029] Among them, the generation method of the customer overdue attitude evaluation index is specifically as follows:

[0030] Process the difference between the number of communication calls of the remittance overdue customer and the total number of calls to generate the difference in the number of communication calls; the total number of calls refers to the sum of the answered and unanswered calls;

[0031] Process the ratio of the difference in the number of communication calls to the total number of calls to generate a customer overdue attitude evaluation index;

[0032] Among them, the generation method of the customer remittance evaluation index is specifically as follows:

[0033] Perform weighted processing on the overdue time evaluation index, overdue amount evaluation index, and customer overdue attitude evaluation index to generate a customer remittance evaluation index.

[0034] Further technical solution: The judgment method of the step S20 is specifically as follows:

[0035] Compare the customer remittance evaluation index 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 greater the customer remittance evaluation index, the more abnormal the customer remittance status, and then generate a remittance abnormal signal.

[0036] Further technical solution: The step S30 specifically includes the following steps:

[0037] S31: Based on the remittance abnormal signal, obtain the number of communication calls between enterprise employees and customers, the communication call duration between enterprise employees and customers, the number of in-person meetings between enterprise employees and customers, the leave frequency of enterprise employees, and the attendance punctuality rate of enterprise employees; the attendance punctuality rate refers to punching in for work within the specified time;

[0038] Step S32: Generate a call communication number evaluation index according to the number of communication calls between enterprise employees and customers;

[0039] Step S33: Generate a communication call duration evaluation index according to the communication call duration between enterprise employees and customers;

[0040] Step S34: Generate an in-person meeting times evaluation index based on the number of in-person meetings between enterprise employees and customers;

[0041] Step S35: Establish an employee status evaluation model, substitute the phone call communication times evaluation index, communication call duration evaluation index, in-person meeting times evaluation index, enterprise employee leave frequency, and enterprise employee attendance punctuality rate into the employee status evaluation model to generate an enterprise employee status evaluation index; the enterprise employee leave frequency refers to the ratio of the number of days an enterprise employee takes leave to the total number of working days, and the enterprise employee attendance punctuality rate refers to the ratio of the number of days an enterprise employee arrives at work on time to the total number of working days;

[0042] Among them, the expression of the employee status evaluation model is:

[0043] ;

[0044] In the expression, ESI represents the enterprise employee status evaluation index, Ds represents the phone call communication times evaluation index, Dt represents the communication call duration evaluation index, Xs represents the in-person meeting times evaluation index, L represents the enterprise employee leave frequency, P represents the enterprise employee attendance punctuality rate, and a1, a2, and a3 are all model coefficients.

[0045] Further technical solution: The specific generation method of the phone call communication times evaluation index is as follows:

[0046] Perform a difference operation on the number of communication calls between enterprise employees and customers and the set value of the number of communication calls to generate a communication times deviation value;

[0047] Perform a ratio operation on the communication times deviation value and the set value of the number of communication calls to generate a phone call communication times evaluation index;

[0048] Among them, the specific generation method of the communication call duration evaluation index is as follows:

[0049] Perform a difference operation on the communication call duration between enterprise employees and customers and the set value of the communication call duration to generate a communication call duration deviation value;

[0050] Perform a ratio operation on the communication call duration deviation value and the set value of the communication call duration to generate a communication call duration evaluation index;

[0051] Among them, the specific generation method of the in-person meeting times evaluation index is as follows:

[0052] Perform a difference operation on the number of in-person meetings between enterprise employees and customers and the set value of the number of in-person meetings to generate a meeting times deviation value;

[0053] Perform a ratio operation on the meeting times deviation value and the set value of the number of in-person meetings to generate an in-person meeting times evaluation index.

[0054] Further technical solution: The judgment method in step S40 is specifically as follows:

[0055] Compare the enterprise employee status evaluation index 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 greater the enterprise employee status evaluation index, the worse the working status of the enterprise employees, and then generate an abnormal signal of the enterprise employee status.

[0056] Further technical solution: Step S50 specifically includes the following steps:

[0057] Step S51: Obtain the customer remittance evaluation index of all customers of the enterprise and the enterprise employee status evaluation index of all enterprise employees;

[0058] Step S52: Process the ratio of the customer remittance evaluation index to the enterprise employee status evaluation index of the corresponding enterprise employee to generate a correlation coefficient between the customer and the enterprise employee;

[0059] Step S53: Process the variance of all the correlation coefficients between the customers and the enterprise employees to generate a correlation coefficient fluctuation value;

[0060] Step S54: Process the difference between the correlation coefficient fluctuation value and the near endpoint of the correlation coefficient fluctuation error range to generate a fluctuation difference;

[0061] Step S55: Process the ratio of the fluctuation difference to the near endpoint of the correlation coefficient fluctuation error range to generate a correlation evaluation index.

[0062] Further technical solution: The judgment method in step S60 is specifically as follows:

[0063] Compare the correlation evaluation index with the correlation evaluation index threshold. If the correlation evaluation index is less than or equal to the correlation evaluation index threshold, it means that the smaller the correlation evaluation index, the stronger the correlation between customer remittance and employee status, and then generate a correlation signal;

[0064] If the correlation evaluation index is greater than the correlation evaluation index threshold, it means that the greater the correlation evaluation index, the weaker the correlation between customer remittance and employee status, and then generate a non - correlation signal;

[0065] Among them, step S70 specifically includes:

[0066] When receiving the correlation signal, it indicates that the status of enterprise employees has a great impact on the timeliness of customer remittance, and the management of its enterprise employees is unqualified;

[0067] When receiving an irrelevant signal, it indicates that the status of enterprise employees has little impact on the timeliness of customer remittances.

[0068] An integrated enterprise management evaluation system, which includes:

[0069] A customer remittance analysis unit, used to obtain customer remittance data and customer management data, establish a customer remittance evaluation model, and generate a customer remittance evaluation index; among them, 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 the fees corresponding to the enterprise project by the customer;

[0070] A customer remittance evaluation module, used to judge whether the customer remittance status is abnormal according to the customer remittance evaluation index, and generate a remittance status signal; among them, the remittance status signal includes a normal remittance signal and an abnormal remittance signal;

[0071] An enterprise employee analysis unit, used to obtain the work data of enterprise employees based on the abnormal remittance signal, and generate an enterprise employee status evaluation index; among them, the work data includes the number of customer communication calls of enterprise employees, the duration of customer communication calls of enterprise employees, the number of in-person meetings between enterprise employees and customers, the leave frequency of enterprise employees, and the attendance punctuality rate of enterprise employees; the attendance punctuality rate refers to punching in for work within the specified time; enterprise employees refer to the employees corresponding to the customers;

[0072] An enterprise employee evaluation module, used to judge whether the work status of enterprise employees is abnormal according to the enterprise employee status evaluation index, and generate an enterprise employee status signal; among them, the enterprise employee status signal includes an enterprise employee status normal signal and an enterprise employee abnormal status signal;

[0073] A relevance analysis unit, used to generate a relevance evaluation index based on the enterprise employee abnormal status signal, according to the enterprise employee status evaluation index and the customer remittance evaluation index;

[0074] A relevance judgment module, used to judge whether there is a relevance between customer remittance and employee status according to the relevance evaluation index, and generate a relevance signal; among them, the relevance signal includes a relevance signal and an irrelevant signal;

[0075] A management evaluation module, used to judge whether the management of enterprise employees is qualified according to the relevance signal;

[0076] Among them, the customer remittance analysis unit specifically includes:

[0077] A customer payment collection data acquisition module, used to obtain customer remittance data and customer management data;

[0078] A customer classification module, which is used to classify customer remittance data according to the customer remittance time, and classify customers into customers with overdue remittances and customers with normal remittances;

[0079] An overdue remittance duration analysis module, which is used to generate an overdue duration evaluation index according to the remittance time of customers with overdue remittances;

[0080] An overdue remittance amount analysis module, which is used to generate an overdue amount evaluation index according to the remittance amount of customers with overdue remittances;

[0081] A customer overdue attitude analysis module, which is used to generate a customer overdue attitude evaluation index according to the number of communication calls with customers with overdue remittances;

[0082] A customer remittance evaluation index generation module, which is used to generate a customer remittance evaluation index according to the overdue duration evaluation index, the overdue amount evaluation index and the customer overdue attitude evaluation index;

[0083] Among them, the enterprise employee analysis unit specifically includes:

[0084] An enterprise employee data acquisition module, which is used to obtain the number of communication calls between enterprise employees and customers, the duration of communication calls between enterprise employees and customers, the number of in-person meetings between enterprise employees and customers, the enterprise employee leave frequency and the enterprise employee attendance punctuality rate based on the remittance anomaly signal; the attendance punctuality rate refers to punching in for work within the specified time;

[0085] A phone call communication times analysis module, which is used to generate a phone call communication times evaluation index according to the number of communication calls between enterprise employees and customers;

[0086] A communication call duration analysis module, which is used to generate a communication call duration evaluation index according to the duration of communication calls between enterprise employees and customers;

[0087] An in-person meeting times analysis module, which is used to generate an in-person meeting times evaluation index according to the number of in-person meetings between enterprise employees and customers;

[0088] An enterprise employee status evaluation index generation module, which is used to establish an employee status evaluation model, substitute the phone call communication times evaluation index, the communication call duration evaluation index, the in-person meeting times evaluation index, the enterprise employee leave frequency and the enterprise employee attendance punctuality rate into the employee status evaluation model, and generate an enterprise employee status evaluation index; the enterprise employee leave frequency refers to the ratio of the number of days an enterprise employee takes leave to the total number of working days, and the enterprise employee attendance punctuality rate refers to the ratio of the number of days an enterprise employee goes to work on time to the total number of working days;

[0089] Among them, the correlation analysis unit specifically includes:

[0090] A multiple data acquisition module, configured to acquire the customer remittance evaluation indexes of all customers of an enterprise and the enterprise employee status evaluation indexes of all enterprise employees;

[0091] A correlation coefficient generation module, configured to perform a ratio process on the customer remittance evaluation index and the corresponding enterprise employee status evaluation index of an enterprise employee to generate a correlation coefficient between a customer and an enterprise employee;

[0092] A correlation coefficient analysis module, configured to perform a variance process on all the correlation coefficients between customers and enterprise employees to generate a correlation coefficient fluctuation value;

[0093] A fluctuation value analysis module, configured to perform a difference process on the correlation coefficient fluctuation value and the near end point of the correlation coefficient fluctuation error range to generate a fluctuation difference value;

[0094] A relevance evaluation index generation module, configured to perform a ratio process on the fluctuation difference value and the near end point of the correlation coefficient fluctuation error range to generate a relevance evaluation index.

[0095] The present invention provides an enterprise management comprehensive evaluation method and an evaluation system thereof, which have the following beneficial effects compared with the prior art:

[0096] By comprehensively considering the customer remittance status and the employee work status, the present invention can more accurately identify the problems existing in enterprise management, and is also helpful for the enterprise to more comprehensively understand the reasons for abnormal customer remittances, so as to take more effective measures to deal with them;

[0097] The present invention can reveal the weak links existing in employee management by analyzing the connection between the employee work status and the customer remittance status, enabling the enterprise to timely discover and correct the problems in employee management, and is helpful for improving the work enthusiasm and efficiency of employees. BRIEF DESCRIPTION OF THE DRAWINGS

[0098] Figure 1 It is a flowchart of an enterprise management comprehensive evaluation method provided by an embodiment of the present invention.

[0099] Figure 2 It is a module block diagram of an enterprise management comprehensive evaluation system provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0100] In order to make the objectives, technical solutions and advantages of the present invention clearer, 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.

[0101] The following describes the specific implementation of the present invention in detail with reference to specific embodiments.

[0102] Please refer toFigure 1 , a comprehensive enterprise management evaluation method provided by an embodiment of the present invention, includes the following steps:

[0103] Step S10: 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 the fees corresponding to the enterprise project by the customer;

[0104] Step S20: According to the customer remittance evaluation index, judge whether the customer remittance status is abnormal, and generate a remittance status signal; wherein, the remittance status signal includes a normal remittance signal and an abnormal remittance signal;

[0105] Step S30: Based on the abnormal remittance signal, obtain the work data of enterprise employees, and generate an enterprise employee status evaluation index; wherein, the work data includes the number of customer communication calls made by enterprise employees, the duration of customer communication calls made by enterprise employees, the number of in-person meetings between enterprise employees and customers, the leave frequency of enterprise employees, and the attendance punctuality rate of enterprise employees; the attendance punctuality rate refers to punching in for work within the specified time; enterprise employees refer to the employees corresponding to the customers;

[0106] Step S40: According to the enterprise employee status evaluation index, judge whether the work status of enterprise employees is abnormal, and generate an enterprise employee status signal; wherein, the enterprise employee status signal includes a normal enterprise employee status signal and an abnormal enterprise employee status signal;

[0107] Step S50: Based on the abnormal enterprise employee status signal, generate a relevance evaluation index according to the enterprise employee status evaluation index and the customer remittance evaluation index;

[0108] Step S60: According to the relevance evaluation index, judge whether there is a relationship between customer remittance and employee status, and generate a relevance signal; wherein, the relevance signal includes a relevance signal and a non-relevance signal;

[0109] Step S70: According to the relevance signal, judge whether the management of enterprise employees is qualified.

[0110] As a preferred embodiment of the present invention, the S10 specifically includes the following steps:

[0111] Step S11: Obtain customer remittance data and customer management data;

[0112] The customer remittance data can be retrieved from the enterprise financial statements; the customer management data can be retrieved from the enterprise management reports;

[0113] Step S12: Classify the customer remittance data according to the customer remittance time, and classify the customers into overdue remittance customers and normal remittance customers;

[0114] The classification method is as follows: Compare the time when the customer remittance amount is reached with the predetermined time. If it exceeds the predetermined time, it is an overdue remittance customer; if it does not exceed, it is a normal remittance customer. If the remittance amount is not reached and the predetermined date is exceeded, the current time is regarded as the end time when the remittance amount is reached, and it is classified as an overdue remittance customer;

[0115] Step S13: Generate an overdue duration evaluation index according to the remittance time of the overdue remittance customers;

[0116] Step S14: Generate an overdue amount evaluation index according to the remittance amount of the overdue remittance customers;

[0117] Step S15: Generate a customer overdue attitude evaluation index according to the number of communication calls of the overdue remittance customers;

[0118] Step S16: Generate a customer remittance evaluation index according to the overdue duration evaluation index, the overdue amount evaluation index, and the customer overdue attitude evaluation index.

[0119] As a preferred embodiment of the present invention, the specific method for generating the overdue duration evaluation index is as follows:

[0120] Generate the customer remittance overdue duration according to the remittance time of the overdue remittance customers;

[0121] Perform a difference process on the customer remittance overdue duration to generate a duration difference;

[0122] Perform a ratio process on the duration difference and the maximum overdue period to generate an overdue duration evaluation index;

[0123] Among them, the specific method for generating the overdue amount evaluation index is as follows:

[0124] Perform a difference process on the remittance amount of the overdue remittance customer and the total required remittance amount to generate the overdue remittance amount;

[0125] Perform a ratio process on the overdue remittance amount and the total required remittance amount to generate an overdue amount evaluation index;

[0126] Among them, the specific method for generating the customer overdue attitude evaluation index is as follows:

[0127] Perform a difference process on the number of communication calls of the overdue remittance customer and the total number of calls to generate a communication times difference; the total number of calls refers to the sum of the answered and unanswered calls;

[0128] Perform a ratio process on the communication times difference and the total number of calls to generate a customer overdue attitude evaluation index;

[0129] Among them, the generation method of the customer remittance evaluation index is specifically as follows:

[0130] Perform weighted processing on the overdue duration evaluation index, the overdue amount evaluation index, and the customer overdue attitude evaluation index to generate the customer remittance evaluation index.

[0131] As a preferred embodiment of the present invention, the judgment method of step S20 is specifically as follows:

[0132] 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, the more normal the customer remittance status, and a remittance normal signal is generated;

[0133] 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, the more abnormal the customer remittance status, and a remittance abnormal signal is generated;

[0134] It should be explained that the acquisition method of the customer remittance evaluation index threshold is the same as that of the customer remittance evaluation index, and its value is set by relevant personnel in the field; in addition, the meaning of the same acquisition method refers to the same calculation method, and the values therein need to be set by oneself.

[0135] As a preferred embodiment of the present invention, step S30 specifically includes the following steps:

[0136] S31: Based on the remittance abnormal signal, obtain the number of communication calls between enterprise employees and customers, the duration of communication calls between enterprise employees and customers, the number of in-person meetings between enterprise employees and customers, the leave frequency of enterprise employees, and the on-time attendance rate of enterprise employees; the on-time attendance rate refers to punching in for work within the specified time;

[0137] The work data of enterprise employees can be retrieved from the work reports collected by the enterprise daily;

[0138] Step S32: Generate a call communication times evaluation index according to the number of communication calls between enterprise employees and customers;

[0139] Step S33: Generate a communication call duration evaluation index according to the duration of communication calls between enterprise employees and customers;

[0140] Step S34: Generate an in-person meeting times evaluation index according to the number of in-person meetings between enterprise employees and customers;

[0141] Step S35: Establish an employee status evaluation model. Substitute the evaluation index of the number of phone calls, the evaluation index of the duration of communication calls, the evaluation index of the number of in-person meetings, the leave frequency of enterprise employees, and the on-time attendance rate of enterprise employees into the employee status evaluation model to generate an enterprise employee status evaluation index. The leave frequency of enterprise employees refers to the ratio of the number of days of leave of enterprise employees to the total number of working days, and the on-time attendance rate of enterprise employees refers to the ratio of the number of days when enterprise employees go to work on time to the total number of working days.

[0142] Among them, the expression of the employee status evaluation model is:

[0143] ;

[0144] In the expression, ESI represents the enterprise employee status evaluation index, Ds represents the evaluation index of the number of phone calls, Dt represents the evaluation index of the duration of communication calls, Xs represents the evaluation index of the number of in-person meetings, L represents the leave frequency of enterprise employees, P represents the on-time attendance rate of enterprise employees, and a1, a2, and a3 are all model coefficients.

[0145] It should be noted that the values of a1, a2, and a3 are set by relevant personnel in this field, and a1 + a2 + a3 1.

[0146] As a preferred embodiment of the present invention, the generation method of the evaluation index of the number of phone calls is specifically as follows:

[0147] Perform a difference operation on the number of communication calls between enterprise employees and customers and the set value of the number of communication calls to generate a deviation value of the number of calls;

[0148] Perform a ratio operation on the deviation value of the number of calls and the set value of the number of communication calls to generate an evaluation index of the number of phone calls;

[0149] Among them, the generation method of the evaluation index of the duration of communication calls is specifically as follows:

[0150] Perform a difference operation on the duration of communication calls between enterprise employees and customers and the set value of the duration of communication calls to generate a deviation value of the duration of communication calls;

[0151] Perform a ratio operation on the deviation value of the duration of communication calls and the set value of the duration of communication calls to generate an evaluation index of the duration of communication calls;

[0152] Among them, the generation method of the evaluation index of the number of in-person meetings is specifically as follows:

[0153] Perform a difference operation on the number of in-person meetings between enterprise employees and customers and the set value of the number of meetings to generate a deviation value of the number of meetings;

[0154] Perform a ratio process on the deviation value of the number of face-to-face meetings and the set value of the number of face-to-face meetings to generate an evaluation index for the number of offline face-to-face meetings;

[0155] It should be noted that the values of the set value of the number of communication calls, the set value of the duration of communication calls, and the set value of the number of face-to-face meetings are set by relevant personnel in the field according to the enterprise's management system.

[0156] As a preferred embodiment of the present invention, the judgment method in step S40 is specifically as follows:

[0157] 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, the better the working status of the enterprise employees, and then generate a normal signal for the enterprise employee status;

[0158] 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, the worse the working status of the enterprise employees, and then generate an abnormal signal for the enterprise employee status;

[0159] It should be noted that the acquisition method of the enterprise employee status evaluation index threshold is the same as that of the enterprise employee status evaluation index, which will not be elaborated here, and its value is set by relevant personnel in the field.

[0160] As a preferred embodiment of the present invention, step S50 specifically includes the following steps:

[0161] Step S51: Obtain the customer remittance evaluation index of all customers of the enterprise and the enterprise employee status evaluation index of all enterprise employees;

[0162] Step S52: Perform a ratio process 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;

[0163] Step S53: Perform a variance process on all the correlation coefficients between customers and enterprise employees to generate a correlation coefficient fluctuation value;

[0164] Step S54: Perform a difference process on the correlation coefficient fluctuation value and the near endpoint of the correlation coefficient fluctuation error range to generate a fluctuation difference;

[0165] Step S55: Perform a ratio process on the fluctuation difference and the near endpoint of the correlation coefficient fluctuation error range to generate a correlation evaluation index.

[0166] As a preferred embodiment of the present invention, the judgment method in step S60 is specifically as follows:

[0167] 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 indicates that the smaller the relevance evaluation index, the stronger the relevance between the customer's remittance and the employee's status, and then a relevance signal is generated;

[0168] If the relevance evaluation index is greater than the relevance evaluation index threshold, it indicates that the larger the relevance evaluation index, the weaker the relevance between the customer's remittance and the employee's status, and then a non-relevance signal is generated;

[0169] It should be explained that the acquisition method of the relevance evaluation index threshold is the same as that of the relevance evaluation index, which will not be elaborated here, and its value is set by relevant personnel in this field.

[0170] As a preferred embodiment of the present invention, step S70 specifically includes:

[0171] When receiving a relevance signal, it indicates that the status of the enterprise employees has a great impact on the timeliness of the customer's remittance, and the management of its enterprise employees is unqualified and needs to be strengthened;

[0172] When receiving a non-relevance signal, it indicates that the status of the enterprise employees has little impact on the timeliness of the customer's remittance, and it is necessary to further analyze the reasons for the untimely customer remittance; among them, the further analysis includes but is not limited to the customer's assets, customer satisfaction, etc.

[0173] As Figure 2 shown, the present invention also provides an enterprise management comprehensive evaluation system, which includes:

[0174] A customer remittance analysis unit, which is used to obtain customer remittance data and customer management data, establish a customer remittance evaluation model, and generate a customer remittance evaluation index; among them, 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 the fees corresponding to the enterprise project by the customer;

[0175] A customer remittance evaluation module, which is used to judge whether the customer remittance status is abnormal according to the customer remittance evaluation index, and generate a remittance status signal; among them, the remittance status signal includes a remittance normal signal and a remittance abnormal signal;

[0176] An enterprise employee analysis unit, which is used to obtain the work data of enterprise employees based on the remittance abnormal signal, and generate an enterprise employee status evaluation index; among them, the work data includes the number of customer communication calls of enterprise employees, the duration of customer communication calls of enterprise employees, the number of in-person meetings between enterprise employees and customers, the leave frequency of enterprise employees, and the attendance punctuality rate of enterprise employees; the attendance punctuality rate refers to punching in for work within the specified time; enterprise employees refer to the employees corresponding to the customers;

[0177] An enterprise employee evaluation module, which is used to judge whether the working status of enterprise employees 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 status normal signal and an enterprise employee abnormal status signal;

[0178] A relevance analysis unit, which is used to generate a relevance evaluation index based on the enterprise employee abnormal status signal according to the enterprise employee status evaluation index and the customer remittance evaluation index;

[0179] A relevance judgment module, which is used to judge whether there is a relevance between customer remittance and employee status according to the relevance evaluation index, and generate a relevance signal; wherein, the relevance signal includes a relevance signal and a non-relevance signal;

[0180] A management evaluation module, which is used to judge whether the management of enterprise employees is qualified according to the relevance signal.

[0181] As a preferred embodiment of the present invention, the customer remittance analysis unit specifically includes:

[0182] A customer payment collection data acquisition module, which is used to acquire customer remittance data and customer management data;

[0183] A customer classification module, which is used to classify customer remittance data according to the customer remittance time, and classify customers into customers with overdue remittances and customers with normal remittances;

[0184] An overdue remittance duration analysis module, which is used to generate an overdue duration evaluation index according to the remittance time of customers with overdue remittances;

[0185] An overdue remittance amount analysis module, which is used to generate an overdue amount evaluation index according to the remittance amount of customers with overdue remittances;

[0186] A customer overdue attitude analysis module, which is used to generate a customer overdue attitude evaluation index according to the number of communication calls with customers with overdue remittances;

[0187] A customer remittance evaluation index generation module, which is used to generate a customer remittance evaluation index according to the overdue duration evaluation index, the overdue amount evaluation index and the customer overdue attitude evaluation index;

[0188] Wherein, the enterprise employee analysis unit specifically includes:

[0189] An enterprise employee data acquisition module, which is used to acquire the number of communication calls between enterprise employees and customers, the duration of communication calls between enterprise employees and customers, the number of in-person meetings between enterprise employees and customers, the leave frequency of enterprise employees and the attendance punctuality rate of enterprise employees based on the remittance abnormal signal; the attendance punctuality rate refers to punching in for work within the specified time;

[0190] The telephone communication frequency analysis module is used to generate a telephone communication frequency evaluation index according to the number of telephone communications between enterprise employees and customers;

[0191] The communication call duration analysis module is used to generate a communication call duration evaluation index according to the duration of telephone communications between enterprise employees and customers;

[0192] The in-person meeting frequency analysis module is used to generate an in-person meeting frequency evaluation index according to the number of in-person meetings between enterprise employees and customers;

[0193] The enterprise employee status evaluation index generation module is used to establish an employee status evaluation model, substitute the telephone communication frequency evaluation index, the communication call duration evaluation index, the in-person meeting frequency evaluation index, the enterprise employee leave frequency, and the enterprise employee attendance punctuality rate into the employee status evaluation model to generate an enterprise employee status evaluation index; the enterprise employee leave frequency refers to the ratio of the number of days an enterprise employee takes leave to the total number of working days, and the enterprise employee attendance punctuality rate refers to the ratio of the number of days an enterprise employee arrives at work on time to the total number of working days;

[0194] Among them, the correlation analysis unit specifically includes:

[0195] The multiple data acquisition module is used to acquire the customer remittance evaluation index of all customers of the enterprise and the enterprise employee status evaluation index of all enterprise employees;

[0196] The correlation coefficient generation module is used to perform a ratio process on the customer remittance evaluation index and the corresponding enterprise employee status evaluation index of the enterprise employee to generate a correlation coefficient between the customer and the enterprise employee;

[0197] The correlation coefficient analysis module is used to perform a variance process on all the correlation coefficients between customers and enterprise employees to generate a correlation coefficient fluctuation value;

[0198] The fluctuation value analysis module is used to perform a difference process on the correlation coefficient fluctuation value and the near endpoint of the correlation coefficient fluctuation error range to generate a fluctuation difference;

[0199] The correlation evaluation index generation module is used to perform a ratio process on the fluctuation difference and the near endpoint of the correlation coefficient fluctuation error range to generate a correlation evaluation index.

[0200] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An integrated evaluation method for enterprise management, characterized in that, It includes the following steps: Step S10: 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 the fees corresponding to the enterprise project by the customer; Step S20: According to the customer remittance evaluation index, judge whether the customer remittance status is abnormal, and generate 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 enterprise employees, and generate an enterprise employee status evaluation index; wherein, the work data includes the number of customer communication calls of enterprise employees, the duration of customer communication calls of enterprise employees, the number of in-person meetings between enterprise employees and customers, the leave frequency of enterprise employees, and the attendance punctuality rate of enterprise employees; the attendance punctuality rate refers to punching in for work within the specified time; enterprise employees refer to the employees corresponding to the customers; Step S40: According to the enterprise employee status evaluation index, judge whether the work status of enterprise employees is abnormal, and generate an enterprise employee status signal; wherein, the enterprise employee status signal includes an enterprise employee status normal signal and an enterprise employee abnormal status signal; Step S50: Based on the enterprise employee abnormal status signal, generate a correlation evaluation index according to the enterprise employee status evaluation index and the customer remittance evaluation index; Step S60: According to the correlation evaluation index, judge whether there is a correlation between customer remittance and employee status, and generate a correlation signal; wherein, the correlation signal includes a correlation signal and a non-correlation signal; Step S70: According to the correlation signal, judge whether the management of enterprise employees is qualified; The specific steps of step S50 include the following steps: Step S51: Obtain the customer remittance evaluation indexes of all customers of the enterprise and the enterprise employee status evaluation indexes of all enterprise employees; Step S52: Process the ratio of the customer remittance evaluation index to 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: Process the variance of all the correlation coefficients between the customer and the enterprise employee to generate a correlation coefficient fluctuation value; Step S54: Process the difference between the correlation coefficient fluctuation value and the near end point of the correlation coefficient fluctuation error range to generate a fluctuation difference value; Step S55: Process the ratio of the fluctuation difference value to the near end point of the correlation coefficient fluctuation error range to generate a correlation evaluation index.

2. The comprehensive evaluation method for enterprise management according to claim 1, characterized in that The specific steps of S10 include the following steps: Step S11: Obtain customer remittance data and customer management data; Step S12: Classify the customer remittance data according to the customer remittance time, and classify the customers into overdue remittance customers and normal remittance customers; The classification method is: compare the time when the customer remittance amount is reached with the predetermined time. If it exceeds the predetermined time, it is an overdue remittance customer. If it does not exceed, it is a normal remittance customer. If the remittance amount is not reached and exceeds the predetermined date, the current time is regarded as the end time when the remittance amount is reached, and it is classified as an overdue remittance customer; Step S13: Generate an overdue duration evaluation index based on the remittance time of customers with overdue remittances. Step S14: Generate an overdue amount evaluation index based on the remittance amount of customers with overdue remittances. Step S15: Generate a customer overdue attitude evaluation index based on the number of communication calls with customers with 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. The comprehensive evaluation method for enterprise management according to claim 2, wherein The specific method for generating the overdue duration evaluation index is as follows: Generate the overdue duration of customer remittances based on the remittance time of customers with overdue remittances. Perform a difference operation on the overdue duration of customer remittances and the maximum overdue period to generate a duration difference. Perform a ratio operation on the duration difference and the maximum overdue period to generate an overdue duration evaluation index. Among them, the specific method for generating the overdue amount evaluation index is as follows: Perform a difference operation on the remittance amount of customers with overdue remittances and the total required remittance amount to generate the overdue remittance amount. Perform a ratio operation on the overdue remittance amount and the total required remittance amount to generate an overdue amount evaluation index. Among them, the specific method for generating the customer overdue attitude evaluation index is as follows: Perform a difference operation on the number of communication calls with customers with overdue remittances and the total number of calls to generate a communication times difference; the total number of calls refers to the sum of the answered and unanswered calls. Perform a ratio operation on the communication times difference and the total number of calls to generate a customer overdue attitude evaluation index. Among them, the specific method for generating the customer remittance evaluation index is as follows: Perform a weighted operation on the overdue duration evaluation index, the overdue amount evaluation index, and the customer overdue attitude evaluation index to generate a customer remittance evaluation index.

4. The comprehensive enterprise management evaluation method according to claim 2, characterized in that The specific judgment method of Step S20 is as follows: Compare the customer remittance evaluation index 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 greater the customer remittance evaluation index, the more abnormal the customer remittance status, and then generate a remittance anomaly signal.

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

6. The comprehensive evaluation method for enterprise management according to claim 5, characterized in that The specific generation method of the evaluation index of the number of phone calls is as follows: Perform a difference operation on the number of phone calls between enterprise employees and customers and the set value of the number of phone calls to generate a deviation value of the number of calls; Perform a ratio operation on the deviation value of the number of calls and the set value of the number of phone calls to generate the evaluation index of the number of phone calls; Among them, the specific generation method of the evaluation index of the duration of phone calls is as follows: Perform a difference operation on the duration of phone calls between enterprise employees and customers and the set value of the duration of phone calls to generate a deviation value of the duration of phone calls; Perform a ratio operation on the deviation value of the duration of phone calls and the set value of the duration of phone calls to generate the evaluation index of the duration of phone calls; Among them, the specific generation method of the evaluation index of the number of in-person meetings is as follows: Perform a difference operation on the number of in-person meetings between enterprise employees and customers and the set value of the number of meetings to generate a deviation value of the number of meetings; Perform a ratio operation on the deviation value of the number of meetings and the set value of the number of meetings to generate the evaluation index of the number of in-person meetings.

7. A comprehensive evaluation method for enterprise management according to claim 5, characterized in that The specific judgment method of step S40 is 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 greater than the enterprise employee status evaluation index threshold, it means that the greater the enterprise employee status evaluation index, the worse the working status of the enterprise employees, and then generate an enterprise employee status abnormal signal.

8. A comprehensive evaluation method for enterprise management according to claim 1, characterized in that The specific judgment method of step S60 is 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, the stronger the relevance between customer remittance and employee status, and then generate a relevance signal; If the relevance evaluation index is greater than the relevance evaluation index threshold, it means that the greater the relevance evaluation index, the weaker the relevance between customer remittance and employee status, and then generate a non-relevance signal; Among them, step S70 specifically includes: When receiving a relevance signal, it indicates that the status of enterprise employees has a great impact on the timeliness of customer remittance, and the management of its enterprise employees is unqualified; When receiving a non-relevance signal, it indicates that the status of enterprise employees has little impact on the timeliness of customer remittance.

9. An enterprise management comprehensive evaluation system, characterized in that, The system includes: A customer remittance analysis unit, which is used to obtain customer remittance data and customer management data, establish a customer remittance evaluation model, and generate a customer remittance evaluation index; among them, 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 phone calls; customer remittance refers to the settlement of the fees corresponding to the enterprise project by the customer. The customer remittance evaluation module is used to judge whether the customer remittance status is abnormal according to the customer remittance evaluation index and generate a remittance status signal. Among them, 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 an enterprise employee status evaluation index. Among them, the work data includes the number of communication calls between enterprise employees and customers, the duration of communication calls between enterprise employees and customers, the number of in-person meetings between enterprise employees and customers, the leave frequency of enterprise employees, and the on-time attendance rate of enterprise employees. The on-time attendance rate refers to punching in for work within the specified time. Enterprise employees refer to the employees corresponding to the customers. The enterprise employee evaluation module is used to judge whether the work status of enterprise employees is abnormal according to the enterprise employee status evaluation index and generate an enterprise employee status signal. Among them, the enterprise employee status signal includes a normal enterprise employee status signal and an abnormal enterprise employee status signal. The correlation analysis unit is used to generate a correlation evaluation index based on the abnormal enterprise employee status signal, according to the enterprise employee status evaluation index and the customer remittance evaluation index. The correlation judgment module is used to judge whether there is a correlation between customer remittance and employee status according to the correlation evaluation index and generate a correlation signal. Among them, the correlation signal includes a correlation signal and a non-correlation signal. The management evaluation module is used to judge whether the management of enterprise employees is qualified according to the correlation signal. Among them, the customer remittance analysis unit specifically includes: The customer payment collection data acquisition module is used to acquire customer remittance data and customer management data. The customer classification module is used to classify the customer remittance data according to the customer remittance time and classify the customers into overdue remittance customers and normal remittance customers. The overdue remittance duration analysis module is used to generate an overdue duration evaluation index according to the remittance time of overdue remittance customers. The overdue remittance amount analysis module is used to generate an overdue amount evaluation index according to the remittance amount of overdue remittance customers. The customer overdue attitude analysis module is used to generate a customer overdue attitude evaluation index according to the number of communication calls with overdue remittance customers. The customer remittance evaluation index generation module is used to generate a customer remittance evaluation index according to the overdue duration evaluation index, the overdue amount evaluation index, and the customer overdue attitude evaluation index. Among them, the enterprise employee analysis unit specifically includes: The enterprise employee data acquisition module is used to obtain the number of communication calls between enterprise employees and customers, the duration of communication calls between enterprise employees and customers, the number of in-person meetings between enterprise employees and customers, the leave frequency of enterprise employees, and the on-time attendance rate of enterprise employees based on the abnormal remittance signal. The on-time attendance rate refers to punching in for work within the specified time. The phone call communication times analysis module is used to generate a phone call communication times evaluation index according to the number of communication calls between enterprise employees and customers. The communication call duration analysis module is used to generate a communication call duration evaluation index according to the duration of communication calls between enterprise employees and customers. The in-person meeting times analysis module is used to generate an in-person meeting times evaluation index according to the number of in-person meetings between enterprise employees and customers. An enterprise employee status evaluation index generation module, which is used to establish an employee status evaluation model, substitute the evaluation index of the number of phone calls, the evaluation index of the duration of communication calls, the evaluation index of the number of in-person meetings, the leave frequency of enterprise employees, and the on-time attendance rate of enterprise employees into the employee status evaluation model to generate an enterprise employee status evaluation index; the leave frequency of enterprise employees refers to the ratio of the number of leave days of enterprise employees to the total number of working days, and the on-time attendance rate of enterprise employees refers to the ratio of the number of days when enterprise employees go to work on time to the total number of working days; Among them, the correlation analysis unit specifically includes: A multiple data acquisition module, which is used to acquire the customer remittance evaluation index of all customers of the enterprise and the enterprise employee status evaluation index of all enterprise employees; A correlation coefficient generation module, which is used to perform a ratio process 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; A correlation coefficient analysis module, which is used to perform a variance process on all the correlation coefficients between customers and enterprise employees to generate a correlation coefficient fluctuation value; A fluctuation value analysis module, which is used to perform a difference process on the correlation coefficient fluctuation value and the near endpoint of the correlation coefficient fluctuation error range to generate a fluctuation difference; A correlation evaluation index generation module, which is used to perform a ratio process on the fluctuation difference and the near endpoint of the correlation coefficient fluctuation error range to generate a correlation evaluation index.

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