Enterprise information management system

Abstract

The invention discloses an enterprise information management system, which belongs to the field of information management systems and comprises a data import module, a data analysis module, an evaluation module, a strategy optimization module and a visualization module. The data import module is used for importing previous monthly work records and business circulation information of each department to the data analysis module, wherein the work records comprise staff on-off work time, staff work duration, staff work rhythm, department allocation task load, department task completion rate and department performance indicators; the data analysis module is used for analyzing all the received information and outputting an analysis result to the evaluation module, the strategy optimization module and the visualization module; and the evaluation module is used for evaluating the overall busy / idle state of each department according to the analysis result. According to the invention, busy and idle states of all departments and employees of an enterprise can be accurately and effectively analyzed and evaluated, and a good personnel post-transfer optimization strategy is provided for decision makers of the enterprise.

Description

Technical Field

[0001] The present invention relates to the field of information management systems, in particular to an enterprise information management system. Background Art

[0002] As the division of labor in enterprises becomes more and more detailed, various tasks become increasingly complicated, and the corresponding information that needs to be processed is also increasing. It is difficult for departments within the enterprise to coordinate, which leads to the emergence of "data islands". Data islands refer to data stored on multiple independent, incompatible or inaccessible platforms within an organization or enterprise, resulting in the inability to achieve efficient data circulation and sharing between different departments and business systems, forming independent and closed data islands. Data islands will prevent the reasonable allocation of internal resources of the enterprise, and enterprise decision makers will not be able to effectively grasp the real-time dynamics of various departments within the enterprise, resulting in management chaos.

[0003] In the current enterprise information management system, due to the large number of enterprise departments, there is no reliable linkage between departments, resulting in the emergence of "data islands", which reduces the efficiency of the entire enterprise's task allocation, process management personnel management, etc. Solving the problem of data islands in enterprise information management systems requires multi-faceted efforts and collaboration, but the existing information management system only solves the problem of data difficulty in sharing data, but ignores the problem of personnel optimization, which makes some departments busier and some departments idle, and cannot provide enterprise decision makers with a good personnel transfer optimization strategy.

[0004] Therefore, those skilled in the art provide an enterprise information management system to solve the problems raised in the above background technology. Summary of the invention

[0005] In view of the defects in the prior art, the present invention provides an enterprise information management system, including a data import module, a data analysis module, an evaluation module, a strategy optimization module and a visualization module;

[0006] The data import module is used to import the previous monthly work records and business flow information of each department into the data analysis module. The work records include employee commuting time, employee working hours, employee work rhythm, department assigned task volume, department task completion rate, and department performance indicators; the data analysis module is used to analyze all received information and output the analysis results to the evaluation module, strategy optimization module and visualization module; the evaluation module is used to evaluate the overall busy and idle status of each department based on the analysis results, and to evaluate the individual busy and idle status of each employee in each department, and finally send the evaluation results to the visualization module and strategy optimization module; the strategy optimization module is used to formulate corresponding personnel transfer optimization strategies based on the analysis results and evaluation results, and send the personnel transfer optimization strategies to the visualization module; the visualization module is used to display all received information to the background staff.

[0007] As a further solution of the present invention: the specific process of the data analysis module analyzing all received information is as follows:

[0008] Label each department of the enterprise as Pi, i = 1···n, where n is a positive integer;

[0009] Establish a department-wide busy / idle status analysis model and output the first analysis result;

[0010] Establish a busy / idle status analysis model for department employees and output the second analysis results;

[0011] Establish a departmental data island status analysis model and output the third-party analysis results.

[0012] As a further solution of the present invention: the specific analysis process of the overall busy and idle status analysis model of the department is:

[0013] Obtain the previous monthly work records of the enterprise department Pi, and then extract the previous monthly departmental task volume Ai, departmental task completion rate Bi, and departmental performance index Ci, i = 1···n;

[0014] Mark the preset task volume as a, the preset task completion rate as b, and the preset department performance indicator as c;

[0015] Calculate the busy and idle weight value Vi of the enterprise department Pi in the past months = 50%*(Ai / a)+30%*(Bi / b)+20%*(Ci / c);

[0016] Based on the previous monthly busy-idle weight values ​​Vi of the enterprise department Pi, calculate the department's monthly average busy-idle weight value Vavg;

[0017] Divide the busy / idle weight value Vi by year and mark the current month as X;

[0018] Extract the busy / idle weight values ​​Vi of the enterprise department Pi for the three months (X-1), X, and (X+1) last year, generate a corresponding line graph, and judge the busy trend of the enterprise department Pi in X month last year based on the line graph. If the busy trend shows a continuous upward trend, the enterprise department Pi is marked as a busy rising department. If the busy trend shows a continuous downward trend, the enterprise department Pi is marked as a busy declining department.

[0019] As a further solution of the present invention: the specific analysis process of the department employee busy and idle status analysis model is:

[0020] Obtain the previous monthly work records of the enterprise department Pi, and then extract the corresponding employee's working time, employee working hours, and employee work rhythm;

[0021] Based on the employees' working hours, the number of employees' lateness and early departure in the past months is counted and marked as Di, and the employees' working hours in the past months are marked as Ei. If Di is zero, then Di=1;

[0022] Analyze the work rhythm of employees and use it to count the number of times employees were absent from work each month in the past and mark it as Fi. If Fi is zero, set Fi = 1;

[0023] Mark the preset number of late arrivals and early departures as d, the preset employee working hours as e, and the preset number of employee absences as f;

[0024] Calculate the previous monthly busy-idle weight values ​​of employees under the jurisdiction of enterprise department Pi: vi = 50%*(Ei / e)+30%*(d / Di)+20%*(f / Fi);

[0025] The employee's monthly average busy-idle weight value vavg is calculated based on the employee's previous monthly busy-idle weight values ​​vi.

[0026] As a further solution of the present invention: the specific process of analyzing the work rhythm of employees is:

[0027] Retrieve surveillance videos of employees at work and perform image recognition on them;

[0028] If the monitoring image identifies any of the following behaviors: absence from work, illegal use of computer, work laziness, or chatting while on duty, the behavior will be assigned to the first cluster;

[0029] The duration of each behavior in the first cluster is counted, and if the duration exceeds a preset time t, the behavior in the first cluster is transferred to the second cluster;

[0030] The number of all behaviors in the second cluster is counted and output as the number of times the employee is absent from work.

[0031] As a further solution of the present invention: the specific analysis process of the department data island status analysis model is:

[0032] Obtain the business flow information of the enterprise department Pi in previous months;

[0033] Count the number of departments that have not interacted with the enterprise department Pi in the past months and mark them as Gi;

[0034] Based on the number Gi of departments that have not interacted with the enterprise department Pi for data in previous months, the average number G average of departments that do not interact with data with the enterprise department Pi is calculated.

[0035] As a further solution of the present invention: the specific process of the evaluation module evaluating the overall busy and idle status of each department according to the analysis results is as follows:

[0036] Extract the monthly average busy-idle weight value Vavg of each department Pi, compare Vavg with the preset value Vpreset, if Vavg>Vpreset, plan Vavg to the first sequence, if Vavg≤Vpreset, plan Vavg to the second sequence;

[0037] The V averages in the first sequence are sorted from large to small to obtain a first data set, and the V averages in the second sequence are sorted from small to large to obtain a second data set;

[0038] In the first data set, the departments with higher average V rankings are busier, while in the second data set, the departments with higher average V rankings are less busy.

[0039] As a further solution of the present invention: the specific process of the evaluation module evaluating the personal busy and idle status of each employee in each department is as follows:

[0040] Extract the monthly average busy-idle weight value vavg of employees, compare vavg with the preset value vpreset, if vavg>vpreset, plan vavg to the third sequence, if vavg≤vpreset, plan vavg to the fourth sequence;

[0041] The v in the third sequence is sorted from large to small on average to obtain a third data set, and the v in the fourth sequence is sorted from small to large on average to obtain a fourth data set;

[0042] In the third data set, the employees with higher average v rankings are busier, and in the fourth data set, the employees with higher average v rankings are more idle.

[0043] As a further solution of the present invention: the specific process of the strategy optimization module formulating the personnel transfer optimization strategy is:

[0044] Employees are supplemented according to the ranking in the first data set as the priority order, wherein the monthly average busy-idle weight value Vaverage of each department Pi is compared with the preset value Vpreset. If Vpreset < Vaverage ≤ 2Vpreset, one employee is transferred to department Pi for supplementation; if 2Vpreset < Vaverage ≤ 3Vpreset, two employees are transferred to department Pi for supplementation; if 3Vpreset < Vaverage, three employees are transferred to department Pi for supplementation. In addition, if department Pi is a department with decreasing busyness, supplementation of employees to department Pi is suspended;

[0045] Employees are transferred using the ranking in the second data set as the priority order, wherein the monthly average busy-idle weight value Vaverage of each department Pi is compared with the preset value Vpreset. If 0.5Vpreset<Vaverage≤Vpreset, one employee is transferred from department Pi to wait for transfer; if 0.3Vpreset<Vaverage≤0.6Vpreset, two employees are transferred from department Pi to wait for transfer; if Vaverage≤0.3Vpreset, two employees are transferred from department Pi to wait for transfer. In addition, if department Pi is a busy rising department, employees are suspended from department Pi.

[0046] The ranking in the third data set is used as the priority order for selecting employees from each department, and the ranking in the fourth data set is used as the priority order for interviewing employees;

[0047] Based on the average number of departments G in the enterprise Pi that do not interact with data per month, select the corresponding data sharing solution.

[0048] As a further solution of the present invention: the data sharing solution includes data exchange and interconnection through API interface and building a unified data platform. The specific selection process is:

[0049] Add up the average G corresponding to each enterprise department Pi to get the total island weight value gtotal;

[0050] Compare gtotal with the preset value gpreset. If gtotal>gpreset, choose to build a unified data platform. If gtotal≤gpreset, choose to exchange and interconnect data through the API interface.

[0051] The beneficial effects of the present invention are embodied in:

[0052] This application can accurately and effectively analyze and evaluate the busy and idle status of each department and employee of the enterprise, and provide good personnel transfer optimization strategies for enterprise decision makers. Among them, based on the evaluated busy and idle status of each department and employee of the enterprise, and the established priority order, employees are transferred from idle departments to busy departments, and the transferred employees are diligent and busy in the original department. This can not only promote the formation of a good atmosphere in the department, but also make those lazy and slippery employees nowhere to hide, which is conducive to improving the overall work efficiency of the enterprise. In addition, in response to the data island problem of various departments of the enterprise, this application selects a suitable solution according to the severity of the data island. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0054] Figure 1 It is a structural diagram of an enterprise information management system;

[0055] Figure 2 A schematic diagram of busy trends in an enterprise information management system. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] As mentioned in the background technology of this application, the inventor has discovered through research that in existing enterprise information management systems, due to the large number of enterprise departments, there is no reliable linkage between departments, resulting in the emergence of "data islands", which reduces the efficiency of the entire enterprise's task allocation, process management personnel management, etc., which in turn makes some departments busier and some departments relatively idle, and cannot provide enterprise decision makers with good personnel transfer optimization strategies, which has certain defects.

[0058] In order to solve the above-mentioned defects, the present application discloses an enterprise information management system that can accurately and effectively analyze and evaluate the busy and idle status of various departments and employees of the enterprise, and provide good personnel transfer optimization strategies for enterprise decision makers.

[0059] The following will describe in detail how the solution of the present application solves the above technical problems in conjunction with the accompanying drawings.

[0060] See also Figure 1 In an embodiment of the present invention, an enterprise information management system includes a data import module, a data analysis module, an evaluation module, a strategy optimization module and a visualization module; the data import module is used to import the previous monthly work records and business flow information of each department into the data analysis module, and the work records include employee commuting time, employee working hours, employee work rhythm, departmental assigned task volume, departmental task completion rate, and departmental performance indicators; the data analysis module is used to analyze all received information and output the analysis results to the evaluation module, the strategy optimization module and the visualization module; the evaluation module is used to evaluate the overall busy and idle status of each department according to the analysis results, and evaluate the personal busy and idle status of each employee in each department, and finally send the evaluation results to the visualization module and the strategy optimization module; the strategy optimization module is used to formulate corresponding personnel transfer optimization strategies according to the analysis results and the evaluation results, and send the personnel transfer optimization strategies to the visualization module; the visualization module is used to display all received information to the background staff.

[0061] In this embodiment, the specific process of the data analysis module analyzing all the received information is as follows: mark each department of the enterprise as Pi, i=1···n, where n is a positive integer; establish an overall busy and idle status analysis model of the department, and output the first analysis result; establish an employee busy and idle status analysis model of the department, and output the second analysis result; establish a department data island status analysis model, and output the third analysis result. By constructing the overall busy and idle status analysis model of the department and the employee busy and idle status analysis model of the department, the busy and idle status of each department and employee of the enterprise can be accurately and effectively analyzed and evaluated.

[0062] In this embodiment, the specific analysis process of the overall busy-idle status analysis model of the department is as follows: obtain the previous monthly work records of the enterprise department Pi, and then extract the previous monthly departmental assigned task volume Ai, departmental task completion rate Bi, and departmental performance index Ci, i=1···n; mark the preset task volume as a, the preset task completion rate as b, and the preset departmental performance index as c; calculate the previous monthly busy-idle weight value Vi of the enterprise department Pi = 50%*(Ai / a)+30%*(Bi / b)+20%*(Ci / c); calculate the department's monthly average busy-idle weight value V based on the previous monthly busy-idle weight value Vi of the enterprise department Pi, divide the busy-idle weight value Vi by year, and mark the current month as X; extract the busy-idle weight values ​​Vi of the enterprise department Pi for the three months of (X-1), X, and (X+1) last year, generate a corresponding line graph, and judge the busy trend of the enterprise department Pi in month X last year based on the line graph, such as Figure 2As shown, if the busy trend is a continuous upward trend, the enterprise department Pi is marked as a busy rising department, and if the busy trend is a continuous downward trend, the enterprise department Pi is marked as a busy declining department. This application analyzes the overall busy and idle status of the department from three perspectives: the amount of tasks assigned to the department, the department task completion rate, and the department performance index, so that the final analysis result is accurate, reliable, and representative.

[0063] In this embodiment, the specific analysis process of the department employee busy-idle status analysis model is as follows: obtain the previous monthly work records of the enterprise department Pi, and then extract the corresponding employee commuting time, employee working hours, and employee work rhythm from them; based on the employee commuting time, count the number of employees' lateness and early departure in the previous month and mark it as Di, and mark the previous monthly working hours of employees as Ei, where Di is zero, then let Di=1; analyze the employee work rhythm and use it to count the number of employees' absenteeism in the previous month and mark it as Fi, where Fi is zero, then let Fi=1; mark the preset number of lateness and early departure as d, the preset employee working hours as e, and the preset number of employee absenteeism as f; calculate the previous monthly busy-idle weight value vi=50%*(Ei / e)+30%*(d / Di)+20%*(f / Fi) of the employees under the jurisdiction of the enterprise department Pi; calculate the monthly average busy-idle weight value vavg of the employees based on the previous monthly busy-idle weight value vi of the employees. This application analyzes the personal busy and idle status of employees from three perspectives: employee commuting time, employee working hours, and employee work rhythm, so that the final analysis results are accurate, reliable, and representative.

[0064] In this embodiment, the specific process of analyzing the work rhythm of employees is as follows: retrieve the monitoring video of employees at work, and perform image recognition on the monitoring video; if the monitoring image identifies any of the following: employees are absent from their posts (employees leave their posts without permission during working hours, or are absent from their posts when they should be on the posts), illegal use of computers (employees use official computers for activities unrelated to work during working hours, such as browsing non-work websites, online entertainment, stock speculation, online shopping, etc.), work slackness (such as long idle time), and chat and go to other posts (employees frequently chat with colleagues or go to other departments during working hours), then the behavior is planned to the first cluster; the duration of each behavior in the first cluster is counted, and if the duration exceeds the preset duration t, the behavior in the first cluster is transferred to the second cluster; the number of all behaviors in the second cluster is counted and output as the number of times the employee is absent from work. This setting can accurately and effectively capture the behavior of employees being absent from work, thereby improving the effect of the company's supervision of employees.

[0065] In this embodiment, the specific analysis process of the department data island status analysis model is as follows: obtain the business flow information of the enterprise department Pi in the past months; count the number of departments that have not interacted with the enterprise department Pi in the past months, marked as Gi; based on the number of departments Gi that have not interacted with the enterprise department Pi in the past months, calculate the average number of departments that do not interact with the enterprise department Pi in the past months G average. This setting can quickly identify the data island status of each department of the enterprise, and then facilitate the subsequent selection of an appropriate solution.

[0066] In this embodiment, the specific process of the evaluation module evaluating the overall busy and idle status of each department according to the analysis results is as follows: extract the monthly average busy and idle weight value V average of each department Pi, compare V average with the preset value V preset, if V average>V preset, then V average is planned to the first sequence, if V average≤V preset, then V average is planned to the second sequence; sort the V average in the first sequence from large to small to obtain the first data set, sort the V average in the second sequence from small to large to obtain the second data set; in the first data set, the department with the higher V average ranking is the busier, and in the second data set, the department with the higher V average ranking is the idler. This setting can quickly determine the overall busy and idle status of each department.

[0067] In this embodiment, the specific process of the evaluation module evaluating the personal busy and idle status of each employee in each department is as follows: extract the monthly average busy and idle weight value v average of the employees, compare v average with the preset value v preset, if v average>v preset, then plan v average to the third sequence, if v average≤v preset, then plan v average to the fourth sequence; sort the v average in the third sequence from large to small to obtain the third data set, sort the v average in the fourth sequence from small to large to obtain the fourth data set; in the third data set, the higher the v average ranking, the busier the employee is, and in the fourth data set, the higher the v average ranking, the more idle the employee is. This setting can quickly determine the personal busy and idle status of each employee in each department.

[0068] In this embodiment, the specific process of the strategy optimization module formulating the personnel transfer optimization strategy is as follows: using the ranking in the first data set as the priority order to supplement employees, wherein the monthly average busy-idle weight value Vaverage of each department Pi is compared with the preset value Vpreset, if Vpreset < Vaverage ≤ 2Vpreset, then one employee is transferred to department Pi for supplementation, if 2Vpreset < Vaverage ≤ 3Vpreset, then two employees are transferred to department Pi for supplementation, if 3Vpreset < Vaverage, then three employees are transferred to department Pi for supplementation, and in addition, if department Pi is a busy-declining department, then the supplementation of employees to department Pi is suspended (this setting avoids the situation that after supplementing employees, the department will be idle due to the subsequent busy-declining department); using the ranking in the second data set as the priority order to transfer employees, wherein the monthly average busy-idle weight value Vaverage of each department Pi is compared with the preset value Vpreset, if 0. If 5V preset < V average ≤ V preset, one employee will be transferred from department Pi to wait for transfer; if 0.3V preset < V average ≤ 0.6V preset, two employees will be transferred from department Pi to wait for transfer; if V average ≤ 0.3V preset, two employees will be transferred from department Pi to wait for transfer. In addition, if department Pi is a busy rising department, the transfer of employees from department Pi will be suspended (this setting avoids the situation where the department is short of staff due to subsequent busy rising after the transfer of employees); the ranking in the third data set is used as the priority order for transferring employees from each department, and the ranking in the fourth data set is used as the priority order for interviewing employees. Employee interview means that the department head interviews the employees under the jurisdiction of the department. The more idle the employees are, the more priority they should be interviewed, so as to curb the bad atmosphere in the department as soon as possible; based on the average number of departments G average that do not interact with data in the enterprise department Pi per month, select the corresponding data sharing solution. This application is based on the assessed busy and idle status of each department and employee of the enterprise, as well as the established priority order, and employees are transferred from idle departments to busy departments. The transferred employees are diligent and busy in their original departments. This can not only promote the formation of a good atmosphere in the department, but also make those lazy and slacking employees nowhere to hide, which is conducive to improving the overall work efficiency of the enterprise. The busier the department, the more employees it needs to add, and the more idle the department, the more employees it needs to transfer. Based on this, this application formulates a corresponding transfer system to effectively balance the busy and idle status of each department.

[0069] In this embodiment, the data sharing solution includes data exchange and interconnection through the API interface and the construction of a unified data platform. The specific selection process is: add the average G corresponding to each enterprise department Pi to obtain the total island weight value g total; compare g total with the preset value g preset, if g total>g preset, then choose to build a unified data platform, if g total≤g preset, then choose to exchange and interconnect data through the API interface. Among them, by building a unified data platform (such as a KPaaS business integration extension platform), the data scattered in various departments and systems are integrated on a platform to eliminate data islands. Different business systems can exchange and interconnect data through the API interface, thereby realizing the automation and real-time synchronization of data flows. API integration can ensure seamless docking between various systems, eliminate data islands, and realize data sharing. Building a unified data platform requires more manpower and material resources than exchanging and interconnecting data through the API interface. This solution will only be selected when the severity of data islands is high. It should be noted that the data platform aims to eliminate data islands and improve the utilization efficiency and value of data. It enables data sharing and interconnection between different departments and systems by centrally storing and managing data. Data platforms usually have multiple functions such as data storage, data processing, data analysis and data visualization to meet the needs of enterprises and organizations for data management and application. Data platforms are widely used in various fields, such as finance, telecommunications, retail, and medical care. In the financial field, data platforms can help banks, insurance companies and other institutions to achieve centralized management and sharing of customer information, improve business processing efficiency and risk management capabilities. In the telecommunications field, data platforms can support operators to achieve centralized storage and analysis of user data, optimize network operations and customer service. In the retail field, data platforms can help merchants analyze sales data, customer behavior and other data to develop more accurate marketing strategies. In the medical field, data platforms can support medical institutions to achieve sharing and exchange of medical data and improve the efficiency and quality of medical services.

[0070] The present invention can accurately and effectively analyze and evaluate the busy and idle status of each department and employees of an enterprise, and provide enterprise decision makers with a good personnel transfer optimization strategy. Among them, based on the evaluated busy and idle status of each department and employees of the enterprise, and the formulated priority order, employees are transferred from idle departments to busy departments, and the transferred employees are diligent and busy in the original department. This can not only promote the formation of a good atmosphere in the department, but also make those lazy and slippery employees nowhere to hide, which is conducive to improving the overall work efficiency of the enterprise. In addition, in response to the data island problem of various departments of the enterprise, this application selects a suitable solution according to the severity of the data island.

[0071] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. An enterprise information management system, characterized in that: It includes data import module, data analysis module, evaluation module, strategy optimization module and visualization module; The data import module is used to import the previous monthly work records and business flow information of each department into the data analysis module. The work records include employee commuting time, employee working hours, employee work rhythm, departmental assigned task volume, departmental task completion rate, and departmental performance indicators; the data analysis module is used to analyze all received information and output the analysis results to the evaluation module, the strategy optimization module, and the visualization module; the evaluation module is used to evaluate the overall busy and idle status of each department based on the analysis results, and evaluate the individual busy and idle status of each employee in each department, and finally send the evaluation results to the visualization module and the strategy optimization module; The strategy optimization module is used to formulate corresponding personnel transfer optimization strategies according to the analysis results and the evaluation results, and send the personnel transfer optimization strategies to the visualization module; the visualization module is used to display all received information to the background staff.

2. An enterprise information management system according to claim 1, characterized in that: The specific process of the data analysis module analyzing all received information is as follows: Label each department of the enterprise as Pi, i = 1···n, where n is a positive integer; Establish a department-wide busy / idle status analysis model and output the first analysis result; Establish a busy / idle status analysis model for department employees and output the second analysis results; Establish a departmental data island status analysis model and output the third-party analysis results.

3. An enterprise information management system according to claim 2, characterized in that: The specific analysis process of the overall busy-idle status analysis model of the department is as follows: Obtain the previous monthly work records of the enterprise department Pi, and then extract the previous monthly departmental task volume Ai, departmental task completion rate Bi, and departmental performance index Ci, i = 1···n; Mark the preset task volume as a, the preset task completion rate as b, and the preset department performance indicator as c; Calculate the busy / idle weight value Vi of the enterprise department Pi in the past months = 50%*(Ai / a)+30%*(Bi / b)+20%*(Ci / c); Based on the previous monthly busy-idle weight values ​​Vi of the enterprise department Pi, calculate the department's monthly average busy-idle weight value Vavg; Divide the busy / idle weight value Vi by year and mark the current month as X; Extract the busy / idle weight values ​​Vi of the enterprise department Pi for the three months (X-1), X, and (X+1) last year, generate a corresponding line graph, and judge the busy trend of the enterprise department Pi in X month last year based on the line graph. If the busy trend shows a continuous upward trend, the enterprise department Pi is marked as a busy rising department. If the busy trend shows a continuous downward trend, the enterprise department Pi is marked as a busy declining department.

4. An enterprise information management system according to claim 3, characterized in that: The specific analysis process of the department employee busy / idle status analysis model is as follows: Obtain the previous monthly work records of the enterprise department Pi, and then extract the corresponding employee's working time, employee working hours, and employee work rhythm; Based on the employees' working hours, the number of employees' lateness and early departure in the past months is counted and marked as Di, and the employees' working hours in the past months are marked as Ei. If Di is zero, then Di=1; Analyze the work rhythm of employees and use it to count the number of times employees were absent from work each month in the past and mark it as Fi. If Fi is zero, set Fi = 1; Mark the preset number of late arrivals and early departures as d, the preset employee working hours as e, and the preset number of employee absences as f; Calculate the previous monthly busy-idle weight values ​​of employees under the jurisdiction of enterprise department Pi: vi = 50%*(Ei / e)+30%*(d / Di)+20%*(f / Fi); The employee's monthly average busy-idle weight value vavg is calculated based on the employee's previous monthly busy-idle weight values ​​vi.

5. An enterprise information management system according to claim 4, characterized in that: The specific process of analyzing employee work rhythm is as follows: Retrieve surveillance videos of employees at work and perform image recognition on them; If the monitoring image identifies any of the following behaviors: absence from work, illegal use of computer, work laziness, or chatting while on duty, the behavior will be assigned to the first cluster; The duration of each behavior in the first cluster is counted, and if the duration exceeds a preset time t, the behavior in the first cluster is transferred to the second cluster; The number of all behaviors in the second cluster is counted and output as the number of times the employee is absent from work.

6. An enterprise information management system according to claim 5, characterized in that: The specific analysis process of the department data island status analysis model is as follows: Obtain the business flow information of the enterprise department Pi in previous months; Count the number of departments that have not interacted with the enterprise department Pi in the past months and mark them as Gi; Based on the number of departments Gi that have not interacted with the enterprise department Pi for data in previous months, the average number of departments G average that do not interact with data with the enterprise department Pi is calculated.

7. An enterprise information management system according to claim 6, characterized in that: The specific process of the evaluation module evaluating the overall busy and idle status of each department according to the analysis results is as follows: Extract the monthly average busy-idle weight value Vavg of each department Pi, compare Vavg with the preset value Vpreset, if Vavg>Vpreset, plan Vavg to the first sequence, if Vavg≤Vpreset, plan Vavg to the second sequence; The V averages in the first sequence are sorted from large to small to obtain a first data set, and the V averages in the second sequence are sorted from small to large to obtain a second data set; In the first data set, the departments with higher average V rankings are busier, while in the second data set, the departments with higher average V rankings are less busy.

8. An enterprise information management system according to claim 7, characterized in that: The specific process of the evaluation module evaluating the personal busy and idle status of each employee in each department is as follows: Extract the monthly average busy-idle weight value vavg of employees, compare vavg with the preset value vpreset, if vavg>vpreset, plan vavg to the third sequence, if vavg≤vpreset, plan vavg to the fourth sequence; The v in the third sequence is sorted from large to small on average to obtain a third data set, and the v in the fourth sequence is sorted from small to large on average to obtain a fourth data set; In the third data set, the employees with higher average v rankings are busier, and in the fourth data set, the employees with higher average v rankings are more idle.

9. An enterprise information management system according to claim 8, characterized in that: The specific process of the strategy optimization module formulating the personnel transfer optimization strategy is as follows: Employees are supplemented according to the ranking in the first data set as the priority order, wherein the monthly average busy-idle weight value Vaverage of each department Pi is compared with the preset value Vpreset. If Vpreset < Vaverage ≤ 2Vpreset, one employee is transferred to department Pi for supplementation; if 2Vpreset < Vaverage ≤ 3Vpreset, two employees are transferred to department Pi for supplementation; if 3Vpreset < Vaverage, three employees are transferred to department Pi for supplementation. In addition, if department Pi is a department with decreasing busyness, supplementation of employees to department Pi is suspended; Employees are transferred using the ranking in the second data set as the priority order, wherein the monthly average busy-idle weight value Vaverage of each department Pi is compared with the preset value Vpreset. If 0.5Vpreset<Vaverage≤Vpreset, one employee is transferred from department Pi to wait for transfer; if 0.3Vpreset<Vaverage≤0.6Vpreset, two employees are transferred from department Pi to wait for transfer; if Vaverage≤0.3Vpreset, two employees are transferred from department Pi to wait for transfer. In addition, if department Pi is a busy rising department, employees are suspended from department Pi. The ranking in the third data set is used as the priority order for selecting employees from each department, and the ranking in the fourth data set is used as the priority order for interviewing employees; Based on the average number of departments G in the enterprise Pi that do not interact with data per month, select the corresponding data sharing solution.

10. An enterprise information management system according to claim 9, characterized in that: The data sharing solution includes data exchange and interconnection through API interfaces and the construction of a unified data platform. The specific selection process is as follows: Add up the average G corresponding to each enterprise department Pi to get the total island weight value gtotal; Compare gtotal with the preset value gpreset. If gtotal>gpreset, choose to build a unified data platform. If gtotal≤gpreset, choose to exchange and interconnect data through the API interface.

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