Enterprise management method based on large model

Abstract

The invention discloses an enterprise management method based on a large model, particularly relates to the technical field of large models, and comprises an enterprise evaluation information acquisition step, a text preprocessing step, an evaluation information analysis step, a comprehensive analysis step, a comprehensive judgment step and an intelligent feedback step. The method comprises the steps of obtaining a first evaluation text corresponding to a target enterprise area and performing text preprocessing operation to obtain a first evaluation data set; the evaluation module is used for obtaining an intelligent model, inputting the first evaluation data set into the intelligent model to obtain a second evaluation data set, importing the second evaluation data set into a comprehensive analysis model to obtain a comprehensive evaluation reasonable value, and obtaining a preset comprehensive evaluation reasonable value. And the comprehensive evaluation reasonable value is compared with the preset comprehensive evaluation reasonable value, and feedback is performed, so that the time cost and the labor cost can be reduced, and the accuracy and the comprehensiveness of the enterprise management evaluation rate are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of large models, and more specifically, to an enterprise management method based on large models. Background Art

[0002] Large models use the self-attention mechanism to improve the parallel computing capabilities of the model and better model long-distance dependencies. Based on the Transformer architecture, pre-trained models such as BERT and GPT were born. These models are based on self-supervised learning, using large-scale text data (such as massive data on the Internet) to learn language models, and then fine-tune them with limited annotated data for various natural language processing tasks. This pre-training and fine-tuning technology has promoted the development of natural language processing, greatly improving various tasks, and also marks the entry of natural language processing into the industrial implementation stage.

[0003] With the widespread application of information technology, enterprises have accumulated massive amounts of data in their daily operations and have conducted in-depth analysis and processing of massive data. Democratic comprehensive evaluation of leading cadres is an important method and procedure for examining and understanding cadres. It is an organic part of the inspection or work assessment of leading cadres, and an important basis for the selection and appointment of leading cadres. It can promote the construction of a high-quality cadre team; it focuses on understanding the practices and results of various departments in implementing the work arrangements of superiors, promoting reform and innovation, solving development problems, and resolving prominent contradictions, and inspects and understands the personal performance of the evaluation subjects in their job performance and their own construction over the past year.

[0004] However, there are still many problems in the democratic evaluation of leading cadres in various enterprises and institutions, such as: the evaluation indicators are too simple and cannot serve the selection and appointment of cadres in a scientific way; the evaluation process is mainly implemented by manual processing, which is inefficient; the storage of relevant evaluation materials is not standardized and complete, and effective auxiliary decision-making analysis cannot be carried out. Therefore, it is necessary to use the current information, digital and intelligent technical means to effectively solve the problems of traditional evaluation efficiency and statistical analysis, and further improve the evaluation efficiency and the scientific nature of the evaluation results.

[0005] Therefore, there is an urgent need for an enterprise management method based on a large model to solve the above problems. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an enterprise management method based on a big model, which solves the problems raised in the above-mentioned background technology through the field of big model technology.

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a large model-based enterprise management method, comprising an enterprise management database, a central processing terminal and a user information terminal, and further comprising: an enterprise evaluation information acquisition step, a text preprocessing step, an evaluation information analysis step, a comprehensive analysis step, a comprehensive judgment step and an intelligent feedback step: S1: Enterprise evaluation information acquisition: used for intelligent operation of the target enterprise to obtain the first evaluation text corresponding to the target enterprise area; S2: Text preprocessing: preprocessing the first evaluation text, obtaining a first evaluation data group corresponding to the first evaluation text, filtering the first evaluation data group into sub-data, and numbering the sub-data in sequence as i=1, 2, ..., n; S3: Evaluation information analysis: used to obtain an intelligent model, input the first evaluation data group into the intelligent model to obtain a second evaluation data group; including a strategic performance analysis unit, an employee coverage analysis unit, a performance analysis unit, and a change promotion analysis unit; S4: Comprehensive analysis: used to obtain a comprehensive analysis model, and import the second evaluation data group into the comprehensive analysis model to obtain a reasonable value of comprehensive evaluation; including a comprehensive analysis unit; S5: Comprehensive judgment: obtaining a preset reasonable value of comprehensive evaluation, outputting a digital signal after comparing the reasonable value of comprehensive evaluation with the preset reasonable value of comprehensive evaluation, and transmitting the digital signal to the intelligent feedback step; S6: Intelligent feedback: Based on the digital signal described in the comprehensive judgment step, the digital signal is sent to the corresponding manager of the target enterprise in a preset intelligent feedback manner.

[0008] Preferably, the first evaluation text: the number of strategic measure innovations is recorded as zl, the accuracy of strategic resource allocation is recorded as zt, the time interval of strategic adjustment is recorded as zw, the training coverage is recorded as bj, the number of employee turnover is recorded as by, the success rate of employee promotion is recorded as bc, the amount of cost control savings is recorded as yc, the market share growth ratio is recorded as ys, the business profit increment is recorded as yl, the success rate of transformation project launch is recorded as hc, the success rate of transformation project launch is recorded as hq, and the time for consolidating transformation results is recorded as hs.

[0009] Preferably, the strategic performance analysis unit is used to establish a strategic performance analysis model, import the first evaluation data group obtained in the text preprocessing step into the strategic performance analysis model, and calculate the strategic performance coefficient value of each sub-data, which is specifically expressed as: , Z i represents the strategic performance coefficient value of the i-th sub-data, zl i represents the number of strategic innovations of the ith sub-data, zt irepresents the strategic resource allocation accuracy of the i-th sub-data, zw i represents the strategic adjustment time interval of the i-th sub-data, and n represents the total number of sub-data groups.

[0010] Preferably, the employee coverage analysis unit is used to establish an employee coverage analysis model, import the first evaluation data group processed by the text preprocessing module into the employee coverage analysis model, and calculate the employee coverage coefficient value of each sub-data, which is specifically expressed as: , B i Indicates the employee coverage coefficient value of the i-th sub-data, bj i represents the training coverage of the i-th sub-data, by i Indicates the number of employee turnover in the i-th sub-data, bc i represents the employee promotion success rate of the i-th sub-data, a1 is the adjustment coefficient of the training coverage rate, a2 is the adjustment coefficient of the employee promotion success rate, a1 and a2 range from (0,1), N represents the total number of employees, and n represents the total number of sub-data groups.

[0011] Preferably, the performance analysis unit is used to establish a performance analysis model, import the first evaluation data group processed by the text preprocessing module into the performance analysis model, and calculate the performance coefficient value of each sub-data, which is specifically expressed as: , Y i Indicates the performance coefficient value of the i-th sub-data, yc i Indicates the cost control savings amount of the i-th sub-data, ys i represents the market share growth ratio of the i-th sub-data, yl i represents the business profit increment of the i-th sub-data, γ represents the performance adjustment coefficient, and its value range is (0,1), and n represents the number of sub-data.

[0012] Preferably, the change promotion analysis unit is used to establish a change promotion analysis model, import the first evaluation data group processed by the text preprocessing module into the change promotion analysis model, and calculate the change promotion coefficient value of each sub-data, which is specifically expressed as: , H i represents the change promotion coefficient value of the i-th sub-data, hc i represents the success rate of the transformation project launch of the i-th sub-data, hq i represents the success rate of the transformation project launch of the i-th sub-data, hs i It represents the consolidation time of the transformation results of the ith sub-data, M represents the total number of initiated projects, and n represents the number of sub-data.

[0013] Preferably, the comprehensive analysis unit is used to establish a comprehensive analysis model, import the second evaluation data group into the comprehensive analysis model, and calculate the reasonable value of the comprehensive evaluation, which is specifically expressed as: , Where P represents the reasonable value of comprehensive evaluation, Z i represents the strategic performance coefficient value of the i-th sub-data, B i represents the employee coverage coefficient value of the i-th sub-data, Y i Indicates the performance coefficient value of the i-th sub-data, H i represents the change promotion coefficient value of the i-th sub-data, α 1 , α 2 , α 3 , α 4 Represents the weight coefficient and is greater than zero, α 1 , α 2 , α 3 , α 4 The sum is equal to one, where μ represents other influencing factors of the reasonable value of the comprehensive evaluation.

[0014] Preferably, the preset reasonable value of comprehensive evaluation is a reasonable value of evaluation obtained based on the democratic comprehensive evaluation of leaders in previous years; the specific determination is as follows: B1: If the reasonable value of the comprehensive evaluation is greater than the preset reasonable value of the comprehensive evaluation, an early warning signal is issued; B2: If the comprehensive evaluation reasonable value is less than the preset comprehensive evaluation reasonable value, a qualified signal is issued; B3: If an abnormal signal appears, the enterprise management database will be abnormally interrupted, and the relevant management personnel will process and optimize the data in a timely manner.

[0015] Preferably, the preset intelligent feedback method is: obtaining results based on the analysis and evaluation report, and sending them to relevant managers.

[0016] Technical effects and advantages of the present invention: 1. The present invention performs intelligent operations on target enterprises, obtains the first evaluation text corresponding to the target enterprise area, performs text preprocessing operations, obtains the first evaluation data group corresponding to the first evaluation text, and determines the first evaluation data group to be screened into various sub-data, which is helpful to subsequently improve the comprehensiveness of enterprise management evaluation, and at the same time, improves the data accuracy of enterprise management evaluation; 2. The present invention obtains an intelligent model, inputs the first evaluation data group into the intelligent model to obtain a second evaluation data group, and timely discovers potential problems in enterprise management evaluation, which helps to improve the reliability of controllable voice-controlled canvas evaluation; it is used to obtain a comprehensive analysis model, and imports the second evaluation data group into the comprehensive analysis model to obtain a reasonable value of the comprehensive evaluation, which helps to present more intuitive effects and the integrity of the evaluation to management personnel. At the same time, it can perform more sophisticated and in-depth calculation and analysis on the evaluation data, provide multi-angle and multi-dimensional result analysis, and provide a basis for leadership decision-making; 3. The present invention obtains digital signals through comprehensive judgment steps, which helps to improve the accuracy of enterprise management evaluation judgment and remove outliers, comprehensively improve efficiency, greatly improve work efficiency, and reduce user workload; the digital signals emitted by the method can be discovered in real time through a preset intelligent feedback method. Once a warning signal and an abnormal signal are received, the system will feed back the processing results to the management personnel, who will then intelligently optimize and adjust the enterprise management evaluation data, which helps to reduce time costs and improve the comprehensiveness and scientificity of enterprise management's evaluation of leaders. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the structure of the method of the present invention.

[0018] Figure 2 It is a structural schematic diagram of the evaluation information analysis of the present invention. DETAILED DESCRIPTION

[0019] 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.

[0020] As attached Figure 1 Shown in the figure is a structural diagram of a large model-based enterprise management method, including S1-S6.

[0021] As attached Figure 2 Shown in the figure is a schematic diagram of the structure of the evaluation information analysis.

[0022] S1: Enterprise evaluation information acquisition: used for intelligent operation of the target enterprise to obtain the first evaluation text corresponding to the target enterprise area.

[0023] In this embodiment, it should be specifically explained that the intelligent operation specifically includes: first, obtaining and organizing relevant information of the leader to be evaluated through the APP or PC, then, the employees evaluate and score the leader through the QR code and verification code, and finally, generating a corresponding evaluation text, that is, the first evaluation text.

[0024] In this embodiment, it should be specifically explained that, in the first evaluation text: the number of strategic measure innovations is recorded as zl, the accuracy of strategic resource allocation is recorded as zt, the time interval of strategic adjustment is recorded as zw, the training coverage is recorded as bj, the number of employee turnover is recorded as by, the success rate of employee promotion is recorded as bc, the amount of cost control savings is recorded as yc, the market share growth ratio is recorded as ys, the business profit increment is recorded as yl, the success rate of transformation project launch is recorded as hc, the success rate of transformation project launch is recorded as hq, and the time for consolidating the transformation results is recorded as hs.

[0025] In this embodiment, it is specifically necessary to explain that the storage location of the first evaluation text: the data of the first evaluation text are all stored in the enterprise management database. When the corresponding data needs to be collected, it can be queried through the database professional terms; the collection method of the first evaluation text: the number of strategic measures innovation can be collected by establishing an innovation management system to collect innovation plans, and a special evaluation team can sort out documents such as strategic meeting records, and at the same time, combined with information from R&D, marketing and other departments, regularly review and determine; the accuracy of strategic resource allocation is to use the enterprise management database to record the resource allocation plan, and then collect the actual allocation situation based on the data records during project execution, and then compare the plan with the actual resources to calculate; the strategic adjustment time interval is the enterprise management database recording the strategic adjustment trigger event and the adjustment decision date, and using the information system audit tool to track the update time of related files, so as to calculate the interval length; the training coverage rate is to maintain the training course information in the training management system, use the employee attendance system to record the employee participation in training, and combine the human resources management system to determine the number of people who meet the training requirements, thereby calculating the coverage rate; the number of employee turnover is to extract employee resignation information from the human resources management information system, and count it in natural months or quarters, etc., especially The employee promotion success rate is calculated by the human resource management system looking for promotion application records and approval results, combined with the performance evaluation system, on an annual or semi-annual basis; the cost control savings amount is calculated by the financial system clarifying the cost control scope, recording the budget and actual costs before and after the implementation of the control measures, and calculating the savings amount of each cost item separately and summarizing them; the market share growth rate is calculated by obtaining industry market size data from market research institutions and sales data from the enterprise sales management system, calculating the market share and deriving the growth rate, and using data analysis tools to assist in verification; the business benefit increment is calculated by the financial system determining the business benefit measurement indicators, extracting financial statement data from different periods, and analyzing the driving factors in combination with market data and business operation data; the change project launch success rate is calculated by the change management system recording project establishment information and launch information, counting the number of projects established and successfully launched in a specific period, and evaluating the launch effectiveness in combination with project management methods; the change results consolidation time is the change project management system setting consolidation evaluation indicators, recording the time from the initial completion of the project, regularly auditing and evaluating the business operation, and collecting employee and customer feedback to determine the consolidation time.

[0026] S2: Text preprocessing: preprocess the first evaluation text, obtain the first evaluation data group corresponding to the first evaluation text, filter the first evaluation data group into sub-data, and number the sub-data in sequence as i=1, 2, ..., n.

[0027] In this embodiment, it should be specifically explained that the specific steps of preprocessing the first evaluation text of the target enterprise are as follows: A1: Text cleaning: First, remove special characters, punctuation marks, and numbers from the evaluation text, convert the case, and make it uniformly uppercase or lowercase; A2: Outlier detection: After cleaning, detect and process the abnormal outliers in the first evaluation text; A3: Data extraction: Extract the most critical and informational data from the first assessment text, and integrate the data into the first assessment data set.

[0028] S3: Evaluation information analysis: used to obtain an intelligent model, input the first evaluation data group into the intelligent model to obtain a second evaluation data group; including a strategic performance analysis unit, an employee coverage analysis unit, a performance analysis unit and a change promotion analysis unit.

[0029] In this embodiment, it should be specifically explained that the intelligent model includes: a strategic performance analysis model, an employee coverage analysis model, a performance analysis model and a change promotion analysis model.

[0030] In this embodiment, it should be specifically explained that the strategic performance analysis unit is used to establish a strategic performance analysis model, import the first evaluation data group obtained in the text preprocessing step into the strategic performance analysis model, and calculate the strategic performance coefficient value of each sub-data, which is specifically expressed as: , Z i represents the strategic performance coefficient value of the i-th sub-data, zl i represents the number of strategic innovations of the ith sub-data, zt i represents the strategic resource allocation accuracy of the i-th sub-data, zw i represents the strategic adjustment time interval of the i-th sub-data, and n represents the total number of sub-data groups.

[0031] In this embodiment, it should be specifically explained that the employee coverage analysis unit is used to establish an employee coverage analysis model, import the first evaluation data group processed by the text preprocessing module into the employee coverage analysis model, and calculate the employee coverage coefficient value of each sub-data, which is specifically expressed as: , B i Indicates the employee coverage coefficient value of the i-th sub-data, bj i represents the training coverage of the i-th sub-data, by i Indicates the number of employee turnover in the i-th sub-data, bc irepresents the employee promotion success rate of the i-th sub-data, a1 is the adjustment coefficient of the training coverage rate, a2 is the adjustment coefficient of the employee promotion success rate, a1 and a2 range from (0,1), N represents the total number of employees, and n represents the total number of sub-data groups.

[0032] In this embodiment, it should be specifically explained that the performance analysis unit is used to establish a performance analysis model, import the first evaluation data group processed by the text preprocessing module into the performance analysis model, and calculate the performance coefficient value of each sub-data, which is specifically expressed as: , Y i Indicates the performance coefficient value of the i-th sub-data, yc i Indicates the cost control savings amount of the i-th sub-data, ys i represents the market share growth ratio of the i-th sub-data, yl i represents the business profit increment of the i-th sub-data, γ represents the performance adjustment coefficient, and its value range is (0,1), and n represents the number of sub-data.

[0033] In this embodiment, it should be specifically explained that the change promotion analysis unit is used to establish a change promotion analysis model, import the first evaluation data group processed by the text preprocessing module into the change promotion analysis model, and calculate the change promotion coefficient value of each sub-data, which is specifically expressed as: , H i represents the change promotion coefficient value of the i-th sub-data, hc i represents the success rate of the transformation project launch of the i-th sub-data, hq i represents the success rate of the transformation project launch of the i-th sub-data, hs i It represents the consolidation time of the transformation results of the ith sub-data, M represents the total number of initiated projects, and n represents the number of sub-data.

[0034] Specifically, the first evaluation data set is input into the intelligent model to obtain the second evaluation data set including: Z i represents the strategic performance coefficient value of the i-th sub-data, B i represents the employee coverage coefficient value of the i-th sub-data, Y i represents the performance coefficient value of the i-th sub-data and H i Represents the change driving coefficient value of the i-th sub-data.

[0035] S4: Comprehensive analysis: used to obtain a comprehensive analysis model, and import the second evaluation data group into the comprehensive analysis model to obtain a reasonable value of the comprehensive evaluation; including a comprehensive analysis unit.

[0036] In this embodiment, it should be specifically explained that the comprehensive analysis unit is used to establish a comprehensive analysis model, import the second evaluation data group into the comprehensive analysis model, and calculate the reasonable value of the comprehensive evaluation, which is specifically expressed as: , Where P represents the reasonable value of comprehensive evaluation, Z i represents the strategic performance coefficient value of the i-th sub-data, B i represents the employee coverage coefficient value of the i-th sub-data, Y i Indicates the performance coefficient value of the i-th sub-data, H i represents the change promotion coefficient value of the i-th sub-data, α 1 , α 2 , α 3 , α 4 Represents the weight coefficient and is greater than zero, α 1 , α 2 , α 3 , α 4 The sum is equal to one, where μ represents other influencing factors of the reasonable value of the comprehensive evaluation.

[0037] S5: Comprehensive judgment: Obtain a preset reasonable value of the comprehensive evaluation, output a digital signal after comparing the reasonable value of the comprehensive evaluation with the preset reasonable value of the comprehensive evaluation, and transmit the digital signal to the intelligent feedback step.

[0038] In this embodiment, it should be specifically explained that the preset reasonable value of comprehensive evaluation is the reasonable value of evaluation obtained based on the democratic comprehensive evaluation of leaders in previous years; the specific determination is as follows: B1: If the reasonable value of the comprehensive evaluation is greater than the preset reasonable value of the comprehensive evaluation, an early warning signal is issued; B2: If the comprehensive evaluation reasonable value is less than the preset comprehensive evaluation reasonable value, a qualified signal is issued; B3: If an abnormal signal appears, the enterprise management database will be abnormally interrupted, and the relevant management personnel will process and optimize the data in a timely manner.

[0039] The digital signals include: warning signals, qualified signals and abnormal signals.

[0040] S6: Intelligent feedback: Based on the digital signal described in the comprehensive judgment step, the digital signal is sent to the corresponding manager of the target enterprise in a preset intelligent feedback manner.

[0041] In this embodiment, it is specifically necessary to explain that the intelligent feedback method is preset: the results are obtained according to the analysis and evaluation report and sent to the relevant management personnel.

[0042] The present invention performs intelligent operations on the target enterprise, obtains the first evaluation text corresponding to the target enterprise area, and performs text preprocessing operations to obtain the first evaluation data group corresponding to the first evaluation text, and determines the first evaluation data group to be screened into various sub-data, which is helpful to subsequently improve the comprehensiveness of the enterprise management evaluation, and at the same time, improve the data accuracy of the enterprise management evaluation; thereafter, it is used to obtain the intelligent model, input the first evaluation data group into the intelligent model to obtain the second evaluation data group, and timely discover potential problems in the enterprise management evaluation, which is helpful to improve the reliability of the controllable voice-controlled canvas evaluation; it is used to obtain the comprehensive analysis model, and the second evaluation data group is imported into the comprehensive analysis model to obtain a reasonable value of the comprehensive evaluation, which is helpful to present to the management personnel. More intuitive effects and overall evaluation. At the same time, more refined and in-depth calculation and analysis of evaluation data can be carried out, providing multi-angle and multi-dimensional result analysis, and providing a basis for leadership decision-making; digital signals are obtained according to comprehensive judgment steps, which is helpful to improve the accuracy of enterprise management evaluation judgment and remove outliers, comprehensively improve efficiency, greatly improve work efficiency, and reduce user workload; through the preset intelligent feedback method, the digital signal emitted by the method can be discovered in real time. Once the early warning signal and abnormal signal are received, the system will feed back the processing results to the management personnel, and the management personnel will intelligently optimize and adjust the enterprise management evaluation data, which will help reduce time costs and improve the comprehensiveness and scientificity of enterprise management's evaluation of leaders.

[0043] Secondly, in the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other; The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for enterprise management based on a large model, characterized in that: include: S1: Enterprise evaluation information acquisition: used for intelligent operation of the target enterprise to obtain the first evaluation text corresponding to the target enterprise area; S2: Text preprocessing: preprocessing the first evaluation text, obtaining a first evaluation data group corresponding to the first evaluation text, filtering the first evaluation data group into sub-data, and numbering the sub-data in sequence as i=1, 2, ..., n; S3: Evaluation information analysis: used to obtain an intelligent model, input the first evaluation data group into the intelligent model to obtain a second evaluation data group; It includes strategic performance analysis unit, employee coverage analysis unit, performance analysis unit and change promotion analysis unit; S4: Comprehensive analysis: used to obtain a comprehensive analysis model, and import the second evaluation data group into the comprehensive analysis model to obtain a reasonable value of the comprehensive evaluation; Includes comprehensive analysis unit; S5: Comprehensive judgment: obtaining a preset reasonable value of comprehensive evaluation, outputting a digital signal after comparing the reasonable value of comprehensive evaluation with the preset reasonable value of comprehensive evaluation, and transmitting the digital signal to the intelligent feedback step; S6: Intelligent feedback: Based on the digital signal described in the comprehensive judgment step, the digital signal is sent to the corresponding manager of the target enterprise in a preset intelligent feedback manner.

2. The enterprise management method based on a large model according to claim 1, characterized in that: The first assessment text includes: the number of strategic measure innovations is recorded as zl, the accuracy of strategic resource allocation is recorded as zt, the time interval of strategic adjustment is recorded as zw, the training coverage is recorded as bj, the number of employee turnover is recorded as by, the success rate of employee promotion is recorded as bc, the amount of cost control savings is recorded as yc, the market share growth rate is recorded as ys, the business profit increment is recorded as yl, the success rate of transformation project launch is recorded as hc, the success rate of transformation project launch is recorded as hq, and the time for consolidating transformation results is recorded as hs.

3. The enterprise management method based on a large model according to claim 1, characterized in that: The strategic performance analysis unit is used to establish a strategic performance analysis model, import the first evaluation data group obtained in the text preprocessing step into the strategic performance analysis model, and calculate the strategic performance coefficient value of each sub-data, which is specifically expressed as: ， Z i represents the strategic performance coefficient value of the i-th sub-data, zl i represents the number of strategic innovations of the ith sub-data, zt i represents the strategic resource allocation accuracy of the i-th sub-data, zw i represents the strategic adjustment time interval of the i-th sub-data, and n represents the total number of sub-data groups.

4. The enterprise management method based on a large model according to claim 1, characterized in that: The employee coverage analysis unit is used to establish an employee coverage analysis model, import the first evaluation data group processed by the text preprocessing module into the employee coverage analysis model, and calculate the employee coverage coefficient value of each sub-data, which is specifically expressed as: ， B i Indicates the employee coverage coefficient value of the i-th sub-data, bj i represents the training coverage of the i-th sub-data, by i Indicates the number of employee turnover in the i-th sub-data, bc i represents the employee promotion success rate of the i-th sub-data, a1 is the adjustment coefficient of the training coverage rate, a2 is the adjustment coefficient of the employee promotion success rate, a1 and a2 range from (0,1), N represents the total number of employees, and n represents the total number of sub-data groups.

5. The enterprise management method based on a large model according to claim 1, characterized in that: The performance analysis unit is used to establish a performance analysis model, import the first evaluation data group processed by the text preprocessing module into the performance analysis model, and calculate the performance coefficient value of each sub-data, which is specifically expressed as: ， Y i Indicates the performance coefficient value of the i-th sub-data, yc i Indicates the cost control savings amount of the i-th sub-data, ys i represents the market share growth ratio of the i-th sub-data, yl i represents the business profit increment of the i-th sub-data, γ represents the performance adjustment coefficient, and its value range is (0,1), and n represents the number of sub-data.

6. The enterprise management method based on a large model according to claim 1, characterized in that: The change promotion analysis unit is used to establish a change promotion analysis model, import the first evaluation data group processed by the text preprocessing module into the change promotion analysis model, and calculate the change promotion coefficient value of each sub-data, which is specifically expressed as: ， H i represents the change promotion coefficient value of the ith sub-data, hc i represents the success rate of the transformation project launch of the i-th sub-data, hq i represents the success rate of the transformation project launch of the i-th sub-data, hs i It represents the consolidation time of the transformation results of the ith sub-data, M represents the total number of initiated projects, and n represents the number of sub-data.

7. The enterprise management method based on a large model according to claim 1, characterized in that: The comprehensive analysis unit is used to establish a comprehensive analysis model, import the second evaluation data group into the comprehensive analysis model, and calculate the reasonable value of the comprehensive evaluation, which is specifically expressed as: ， Where P represents the reasonable value of comprehensive evaluation, Z i represents the strategic performance coefficient value of the i-th sub-data, B i represents the employee coverage coefficient value of the i-th sub-data, Y i Indicates the performance coefficient value of the i-th sub-data, H i It represents the change promotion coefficient value of the i-th sub-data, α1, α2, α3, α4 represent weight coefficients and are all greater than zero, the sum of α1, α2, α3, α4 is equal to one, and μ represents other influencing factors of the reasonable value of the comprehensive evaluation.

8. The enterprise management method based on a large model according to claim 1, characterized in that: The preset reasonable value of comprehensive evaluation is the reasonable value of evaluation obtained based on the democratic comprehensive evaluation of leaders in previous years; the specific judgment is as follows: B1: If the reasonable value of the comprehensive evaluation is greater than the preset reasonable value of the comprehensive evaluation, an early warning signal is issued; B2: If the comprehensive evaluation reasonable value is less than the preset comprehensive evaluation reasonable value, a qualified signal is issued; B3: If an abnormal signal appears, the enterprise management database will be abnormally interrupted, and the relevant management personnel will process and optimize the data in a timely manner.

9. The enterprise management method based on a large model according to claim 1, characterized in that: The preset intelligent feedback method is: obtaining results based on the analysis and evaluation report and sending them to relevant managers.

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