Enterprise operation-oriented enterprise operation data analysis system

Abstract

The invention discloses an enterprise operation-oriented enterprise operation data analysis system, relates to the technical field of enterprise operation, and discloses an enterprise operation index analysis module, an abnormal operation index labeling module, an enterprise operation dynamic evaluation module and an enterprise operation analysis dynamic adjustment module. The enterprise operation index analysis module and the abnormal operation index labeling module are arranged, each operation index of enterprise operation can be analyzed one by one, influence factors in each operation index are fully and comprehensively considered during analysis, fusion analysis does not need to be carried out on data of each operation index at the same time, and the analysis efficiency is improved. The analysis efficiency of the operating index data is improved, data analysis of the operating indexes with large operating hidden dangers is preferentially ensured, and enterprises can preferentially process the risk operating indexes.

Description

Technical Field

[0001] The present invention relates to the field of enterprise operation technology, and more specifically, to an enterprise management data analysis system for enterprise operation. Background Art

[0002] As the scale of enterprises expands and market competition intensifies, enterprises are increasingly dependent on business data. When the scale of an enterprise is large, the enterprise will have a large amount of data. The enterprise needs to spend a lot of time and energy on analyzing the enterprise's business data. It usually takes several days to complete a comprehensive evaluation of the enterprise's operations. This will also make it impossible for enterprises to respond quickly to market changes and achieve refined management needs. How to ensure that enterprises can respond quickly to market changes is an urgent problem that needs to be solved. Summary of the invention

[0003] In view of the deficiencies in the prior art, the present invention aims to provide an enterprise management data analysis system for enterprise operations.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] The enterprise operation data analysis system for enterprise operations includes enterprise operation index analysis module, abnormal operation index annotation module, enterprise operation dynamic evaluation module, and enterprise operation analysis dynamic adjustment module;

[0006] The enterprise operating indicator analysis module is used to formulate the enterprise's operating indicator type sequence, and analyze the operating indicator types one by one according to the operating indicator type sequence every p time period;

[0007] When generating an operating indicator numerical record of an operating indicator type, the abnormal operating indicator marking module obtains an indicator data analysis index of the operating indicator numerical record, and determines whether the operating indicator type is an abnormal operating indicator type based on a comparison result between the indicator data analysis index and the indicator data analysis boundary index, and then continues to analyze the next operating indicator type according to the operating indicator type sequence;

[0008] The enterprise operation dynamic evaluation module updates the enterprise operation evaluation value each time an operation indicator score record of an operation indicator type is generated, and obtains the enterprise operation evaluation level according to the enterprise operation evaluation value;

[0009] After completing the analysis of all the operating indicator types in the operating indicator type sequence, the enterprise operation analysis dynamic adjustment module determines whether to adjust the duration of the enterprise operation analysis based on the comparison result between the enterprise operation evaluation value and the enterprise operation threshold evaluation value.

[0010] Furthermore, when analyzing each operating indicator type, an operating indicator score record of the operating indicator type is generated, and the operating indicator score record includes an indicator data analysis index and a record generation time.

[0011] Furthermore, the business indicator type sequence of the enterprise is formulated in the following way: obtain all business indicator digital records of the enterprise before the current time of the system, mark the business indicator digital records of the same business indicator type as same-index business records, sum and average the indicator data analysis indexes of all the same-index business records, and obtain the average same-index business analysis index We, obtain the indicator data analysis index of the same-index business record, set the indicator data analysis intermediate index, when the indicator data analysis index is greater than or equal to the indicator data analysis intermediate index, mark the same-index business record as an abnormal same-index business record, when the indicator data analysis index is less than the indicator data analysis intermediate index, do not process it, sort all abnormal same-index business records in the chronological order of record generation time, calculate the time difference between the record generation times of two adjacent abnormal same-index business records after sorting, and obtain the abnormal same-index business time difference, sum and average all abnormal same-index business time differences, and obtain the average abnormal same-index business time difference SSK, and use the formula The indicator sequence value AGT of the operating indicator type is obtained, where H1 is the average same-index operating analysis index coefficient, and H2 is the average abnormal same-index operating time difference coefficient. All operating indicator types are sorted from large to small according to the numerical value of the indicator sequence value to obtain the enterprise's operating indicator type sequence.

[0012] Further, the indicator data analysis value of the business indicator number record is obtained in the following way: obtain various business data of the business indicator type within the current time length p, obtain business data analysis models of various business data, obtain business data analysis indexes of various business data according to the business data analysis models of various business data, sum up all business data analysis indexes and take the average to obtain the average business data analysis index ZG, obtain business data crisis index of various business data, compare the business data analysis index of the same business data with the business data crisis index, when the business data analysis index is greater than the business data crisis index, mark the business data as business risk data, when the business data analysis index is less than or equal to the business data crisis index, mark the business data as business routine data, calculate the difference between the business data analysis index of the business risk data and the business data crisis index to obtain the business risk prominence index SKm, set the business risk prominence index coefficient to Rb, mark the total number of business risk data as Ec, mark the total number of business routine data as Wk, and use the formula The index data analysis value EW of the business index number record is obtained, where Y1 is the average business data analysis index coefficient, m=1, 2, ..., M, and M is the total number of business risk data.

[0013] Furthermore, based on the business data analysis models of various business data, business data analysis indexes of various business data are obtained. Specifically, various business data are input into corresponding business data analysis models respectively, and each business data analysis model outputs a business data analysis index, thereby obtaining business data analysis indexes of various business data.

[0014] Furthermore, based on the comparison result between the indicator data analysis index and the indicator data analysis boundary index, determine whether the operating indicator type is an abnormal operating indicator type, specifically: obtain the indicator data analysis boundary index of the operating indicator type, compare the indicator data analysis index with the indicator data analysis boundary index, when the indicator data analysis index is greater than the indicator data analysis boundary index, mark the operating indicator type as an abnormal operating indicator type, when the indicator data analysis index is less than or equal to the indicator data analysis boundary index, do not mark the operating indicator type.

[0015] Furthermore, the enterprise operation evaluation is obtained in the following way: obtain the operating indicator spectrum, synchronously obtain all abnormal operating indicator types within the current p time length, compare all abnormal operating indicator types in pairs, when two abnormal operating indicator types have a dependency line in the operating indicator spectrum, sum the indicator data analysis indexes of the two abnormal operating indicator types and take the average to obtain the abnormal indicator dependency index, when the two abnormal operating indicator types do not have a dependency line in the operating indicator spectrum, increase the number of abnormal operating increases by one, set the abnormal indicator dependency threshold index, when the abnormal indicator dependency index is greater than the abnormal indicator dependency threshold index, increase the number of abnormal indicator dependencies by one, when the abnormal indicator dependency index is less than or equal to the abnormal indicator dependency threshold index, do not process it, sum all abnormal indicator dependency times to obtain the abnormal indicator dependency sum times SL, sum all operating abnormal increase times to obtain the operating abnormal increase sum times KC, and use the formula The enterprise operation evaluation value Yy is obtained, where R1 is the abnormal indicator dependence and frequency coefficient, and R2 is the operating abnormal increase and frequency coefficient.

[0016] Furthermore, the operation evaluation level of the enterprise is obtained according to the enterprise operation evaluation, specifically: obtain the enterprise operation evaluation value Yy, set the range of each enterprise operation evaluation value to correspond to an operation evaluation level, the range of enterprise operation evaluation value is [0, Y1], (Y1, Y2], ..., (Yy-1, Yy], the operation evaluation level includes operation evaluation level 1, operation evaluation level 2, ..., operation evaluation level y-1, rectification range y, as the operation evaluation level increases, it means that the operation crisis of the enterprise is greater.

[0017] Furthermore, based on the comparison result between the enterprise operation evaluation value and the enterprise operation threshold evaluation value, it is determined whether to adjust the duration of the enterprise operation analysis. Specifically, after the analysis of all operating indicator types in the operating indicator type sequence is completed, the enterprise operation threshold evaluation value is set, and the enterprise operation evaluation value is compared with the enterprise operation threshold evaluation value. When the enterprise operation evaluation value is greater than the enterprise operation threshold evaluation value, the enterprise operation threshold evaluation value is calculated with the enterprise operation evaluation value to obtain the operation evaluation value JG. The next time based on p JG The duration is to analyze the operating indicator types one by one according to the sequence of operating indicator types. When the enterprise operation evaluation value is less than or equal to the enterprise operation threshold evaluation value, the next time the duration is to analyze the operating indicator types one by one according to the sequence of operating indicator types.

[0018] Compared with the prior art, the present invention has the following beneficial effects:

[0019] 1. Set up the enterprise operating indicator analysis module and the abnormal operating indicator marking module, which can analyze each operating indicator of the enterprise one by one, and fully and comprehensively consider the influencing factors of each operating indicator during the analysis. It is no longer necessary to integrate and analyze the data of various operating indicators at the same time, which improves the analysis efficiency of operating indicator data, gives priority to data analysis of operating indicators with major operating risks, and facilitates enterprises to prioritize the processing of risky operating indicators, ensuring that enterprises can respond quickly to market changes;

[0020] 2. Set up a dynamic evaluation module for enterprise operations and a dynamic adjustment module for enterprise operation analysis. This module can dynamically evaluate the enterprise's operating status while analyzing the enterprise's business indicator data, and adjust the corresponding operation analysis duration based on the final evaluation results of the operation status. This not only allows the company's managers to more intuitively understand the company's operation evaluation and the changes between operation evaluations, but also customize a reasonable operation analysis duration for the company. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A flowchart of the business data analysis system for enterprise operations;

[0022] Figure 2 This is a module block diagram of the enterprise business data analysis system for enterprise operations. DETAILED DESCRIPTION

[0023] Reference Figure 1-Figure 2 , an enterprise operation data analysis system for enterprise operations, including an enterprise operation indicator analysis module, an abnormal operation indicator marking module, an enterprise operation dynamic evaluation module, and an enterprise operation analysis dynamic adjustment module.

[0024] Enterprise operating indicator analysis module: formulate the enterprise's operating indicator type sequence, and analyze the operating indicator types one by one according to the operating indicator type sequence every p time (the size of p is set comprehensively according to the enterprise's scale, complexity, industry characteristics, business model and other factors) (analyze each operating indicator type in the order of the operating indicator type sequence). When analyzing each operating indicator type, generate an operating indicator numerical record of this operating indicator type, which includes the indicator data analysis index and the record generation time.

[0025] The business indicator type sequence of the enterprise is formulated in the following way: obtain all business indicator digital records of the enterprise before the current time of the system, mark the business indicator digital records of the same business indicator type as the same-index business records, sum and average the indicator data analysis indexes of all the same-index business records, and obtain the average same-index business analysis index We, obtain the indicator data analysis index of the same-index business records, set the indicator data analysis intermediate index (the system sets the threshold, which is modified according to actual needs), when the indicator data analysis index is greater than or equal to the indicator data analysis intermediate index, mark the same-index business record as an abnormal same-index business record, when the indicator data analysis index is less than the indicator data analysis intermediate index, do not process it, sort all abnormal same-index business records in the chronological order of the record generation time, calculate the time difference between the record generation time of the two adjacent abnormal same-index business records after sorting, and obtain the abnormal same-index business time difference, sum and average all abnormal same-index business time differences, and obtain the average abnormal same-index business time difference SSK, using the formula The indicator sequence value AGT of the operating indicator type is obtained, where H1 is the average same-index operating analysis index coefficient, H2 is the average abnormal same-index operating time difference coefficient, the value of H1 is 0.98, and the value of H2 is 0.66. All operating indicator types are sorted from large to small according to the numerical value of the indicator sequence value to obtain the enterprise's operating indicator type sequence.

[0026] Abnormal operating indicator marking module: when generating an operating indicator numerical record of an operating indicator type, obtain the indicator data analysis index of the operating indicator numerical record, and simultaneously obtain the indicator data analysis boundary index of the operating indicator type (each operating indicator type corresponds to an indicator data analysis boundary index, and the indicator data analysis boundary index is a threshold set according to the system, and the indicator data analysis boundary indexes of different operating indicator types may be different), compare the indicator data analysis index with the indicator data analysis boundary index, and when the indicator data analysis index is greater than the indicator data analysis boundary index, mark the operating indicator type as an abnormal operating indicator type, and when the indicator data analysis index is less than or equal to the indicator data analysis boundary index, do not mark the operating indicator type;

[0027] Then continue to analyze the next operating indicator type according to the operating indicator type sequence.

[0028] By setting up an enterprise operating indicator analysis module and an abnormal operating indicator marking module, each operating indicator of the enterprise can be analyzed one by one, and the influencing factors of each operating indicator can be fully and comprehensively considered during the analysis. There is no need to integrate and analyze the data of each operating indicator at the same time, which improves the analysis efficiency of the operating indicator data, gives priority to data analysis of operating indicators with major operating risks, and facilitates enterprises to prioritize the processing of risky operating indicators.

[0029] Enterprise operation dynamic evaluation module: every time an operating indicator score record of an operating indicator type is generated, the enterprise operation evaluation is updated, and the enterprise's operation evaluation level is obtained based on the enterprise operation evaluation.

[0030] Dynamic adjustment module for enterprise operation analysis: After the analysis of all operating indicator types in the operating indicator type sequence is completed, the enterprise operation threshold evaluation value is set (the system sets the threshold value and is modified according to actual needs), and the enterprise operation evaluation value is compared with the enterprise operation threshold evaluation value. When the enterprise operation evaluation value is greater than the enterprise operation threshold evaluation value, the enterprise operation threshold evaluation value is calculated with the enterprise operation evaluation value to obtain the operation evaluation value JG. The next time based on p JG The duration is to analyze the operating indicator types one by one according to the operating indicator type sequence. When the enterprise operation evaluation value is less than or equal to the enterprise operation threshold evaluation value, the next time the p duration is maintained, the operating indicator types are analyzed one by one according to the operating indicator type sequence.

[0031] The operation evaluation level of the enterprise is obtained according to the enterprise operation evaluation, specifically: obtain the enterprise operation evaluation value Yy, set an operation evaluation level corresponding to the range of each enterprise operation evaluation value, the range of enterprise operation evaluation value is [0, Y1], (Y1, Y2], ..., (Yy-1, Yy], the operation evaluation level includes operation evaluation level 1, operation evaluation level 2, ..., operation evaluation level y-1, rectification range y, as the operation evaluation level increases, it means that the operation crisis of the enterprise is greater.

[0032] By setting up a dynamic evaluation module for enterprise operations and a dynamic adjustment module for enterprise operation analysis, it is possible to dynamically evaluate the enterprise's operating status while analyzing the enterprise's business indicator data, and adjust the corresponding operation analysis duration based on the final evaluation results of the operation status. This not only allows the enterprise's managers to more intuitively understand the enterprise's operation evaluation and the changes between operation evaluations, but also customizes a reasonable operation analysis duration for the enterprise.

[0033] The enterprise operation evaluation is obtained in the following way: obtain the operating indicator spectrum, synchronously obtain all abnormal operating indicator types within the current p time length, compare all abnormal operating indicator types in pairs, when two abnormal operating indicator types have a dependency line in the operating indicator spectrum, sum the indicator data analysis indexes of the two abnormal operating indicator types and take the average to obtain the abnormal indicator dependency index, when the two abnormal operating indicator types do not have a dependency line in the operating indicator spectrum, increase the number of abnormal operating increases by one, set the abnormal indicator dependency threshold index (the system sets the threshold value and modifies it according to actual needs), when the abnormal indicator dependency index is greater than the abnormal indicator dependency threshold index, increase the number of abnormal indicator dependencies by one, when the abnormal indicator dependency index is less than or equal to the abnormal indicator dependency threshold index, do not process it, sum all abnormal indicator dependency times to obtain the abnormal indicator dependency sum times SL, sum all operating abnormal increase times to obtain the operating abnormal increase sum times KC, and use the formula The enterprise operation evaluation value Yy is obtained, where R1 is the abnormal indicator dependence and frequency coefficient, R2 is the operation abnormal increase and frequency coefficient, the value of R1 is 1.32, and the value of R2 is 1.59;

[0034] The operating indicator spectrum includes all operating indicator types. The operating indicator types are displayed in the operating indicator spectrum in the form of a box diagram. At the same time, the operating indicator spectrum shows the dependence and influence relationship between the operating indicator types. For example, the financial indicator type and the sales indicator type are interdependent and influence each other, so there is a dependency line between the financial indicator type and the sales indicator type in the operating indicator spectrum.

[0035] In the daily operation process, enterprises need to analyze the operating indicator data of various operating indicator types. The operating indicator types include but are not limited to financial indicator types, sales indicator types, market indicator types, operation indicator types, and employee indicator types. The operating indicator data of the above operating indicator types are crucial to the operation of the enterprise. Each operating indicator type contains a variety of operating data. For example, financial indicator types include but are not limited to asset and liability data, profit data, and cash flow data. The operating indicator type sequence is to arrange the above operating indicator types in order. For example, the operating indicator type sequence is (financial indicator type, market indicator type, sales indicator type, operation indicator type, employee indicator type);

[0036] The indicator data analysis value of the business indicator number record is obtained in the following way: obtain various business data of the business indicator type within the current p time length, obtain business data analysis models of various business data (each business data corresponds to a business data analysis model), obtain business data analysis indexes of various business data according to the business data analysis models of various business data, sum up all business data analysis indexes and take the average to obtain the average business data analysis index ZG, obtain business data crisis indexes of various business data (each business data corresponds to a business data crisis index, and the business data crisis index is set according to the characteristics of the business data, and the business data crisis indexes of different business data may be different), compare the business data analysis index of the same business data with the business data crisis index, and when the business data analysis index is greater than the business data crisis index When the business data analysis index is less than or equal to the business data crisis index, the business data is marked as normal business data. The business data analysis index of the business risk data and the business data crisis index are calculated to obtain the business risk prominence index SKm. The business risk prominence index coefficient is set to Rb, b=1, 2, 3, …, b; R1<R2<R3<…<Rb. Each of the above business risk prominence index coefficients corresponds to an independent business risk prominence index range, including (0, SK1], (SK1, SK2], …, (SKM-1, SKM], when the business risk prominence index SKm∈(0, SK1], the business risk prominence index coefficient is R1. The total number of business risk data is marked as Ec, and the total number of normal business data is marked as Wk. The formula is used. The indicator data analysis value EW of the business indicator number record is obtained, where Y1 is the average business data analysis index coefficient, m=1, 2, ..., M, M is the total number of business risk data, and the value of Y1 is 2.54.

[0037] According to the business data analysis models of various business data, business data analysis indexes of various business data are obtained. Specifically, various business data are input into corresponding business data analysis models respectively, and each business data analysis model outputs a business data analysis index, thereby obtaining the business data analysis indexes of various business data.

[0038] Each type of operating indicator contains multiple operating data, and each type of operating data corresponds to an operating data analysis model. The construction method of each operating data analysis model is the same, except that the training data of the model is replaced. The value range of the operating data analysis index of each operating data analysis model is unified. The following will introduce the construction method of the operating data analysis model based on the asset-liability data of the asset-liability data: collect i groups of asset-liability data, where the specific content of the asset-liability data includes but is not limited to short-term loan data, transactional financial liabilities, and contractual liabilities, build a deep learning model, use i groups of asset-liability data as training data for the deep learning model, assign an operating data analysis index to the training data, divide the training data into a training set and a validation set in a ratio of 2:3, and train the training set and the validation set to obtain an operating data analysis model. Among them, the value range of the operating data analysis index is (1~2), the larger the value of the operating data analysis index, the higher the asset-liability data will cause the operating risk of the enterprise to increase, and the smaller the value of the operating data analysis index, the lower the asset-liability data will cause the operating risk of the enterprise to decrease.

[0039] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0040] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0041] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0042] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0043] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0044] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0045] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0046] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An enterprise management data analysis system for enterprise operations, characterized by: It includes enterprise operation index analysis module, abnormal operation index marking module, enterprise operation dynamic evaluation module, and enterprise operation analysis dynamic adjustment module; The enterprise operating indicator analysis module is used to formulate the enterprise's operating indicator type sequence, and analyze the operating indicator types one by one according to the operating indicator type sequence every p time period; When generating an operating indicator numerical record of an operating indicator type, the abnormal operating indicator marking module obtains an indicator data analysis index of the operating indicator numerical record, and determines whether the operating indicator type is an abnormal operating indicator type based on a comparison result between the indicator data analysis index and the indicator data analysis boundary index, and then continues to analyze the next operating indicator type according to the operating indicator type sequence; The enterprise operation dynamic evaluation module updates the enterprise operation evaluation value each time an operation indicator score record of an operation indicator type is generated, and obtains the enterprise operation evaluation level according to the enterprise operation evaluation value; After completing the analysis of all the operating indicator types in the operating indicator type sequence, the enterprise operation analysis dynamic adjustment module determines whether to adjust the duration of the enterprise operation analysis based on the comparison result between the enterprise operation evaluation value and the enterprise operation threshold evaluation value.

2. The enterprise management data analysis system for enterprise operations according to claim 1, characterized in that: When analyzing each operating indicator type, an operating indicator score record of the operating indicator type is generated, and the operating indicator score record includes the indicator data analysis index and the record generation time.

3. The enterprise management data analysis system for enterprise operation according to claim 1, characterized in that: The business indicator type sequence of the enterprise is formulated in the following way: obtain all business indicator digital records of the enterprise before the current time of the system, mark the business indicator digital records of the same business indicator type as same-index business records, sum and average the indicator data analysis indexes of all the same-index business records, and obtain the average same-index business analysis index We, obtain the indicator data analysis index of the same-index business record, set the indicator data analysis intermediate index, when the indicator data analysis index is greater than or equal to the indicator data analysis intermediate index, mark the same-index business record as an abnormal same-index business record, when the indicator data analysis index is less than the indicator data analysis intermediate index, do not process it, sort all abnormal same-index business records in the chronological order of record generation time, calculate the time difference between the record generation time of two adjacent abnormal same-index business records after sorting, and obtain the abnormal same-index business time difference, sum and average all abnormal same-index business time differences, and obtain the average abnormal same-index business time difference SSK, using the formula The indicator sequence value AGT of the operating indicator type is obtained, where H1 is the average same-index operating analysis index coefficient, and H2 is the average abnormal same-index operating time difference coefficient. All operating indicator types are sorted from large to small according to the numerical value of the indicator sequence value to obtain the enterprise's operating indicator type sequence.

4. The enterprise management data analysis system for enterprise operations according to claim 1, characterized in that: The indicator data analysis value of the business indicator number record is obtained in the following way: obtain various business data of the business indicator type within the current p time length, obtain business data analysis models of various business data, obtain business data analysis indexes of various business data according to the business data analysis models of various business data, sum up all business data analysis indexes and take the average to obtain the average business data analysis index ZG, obtain business data crisis index of various business data, compare the business data analysis index of the same business data with the business data crisis index, when the business data analysis index is greater than the business data crisis index, mark the business data as business risk data, when the business data analysis index is less than or equal to the business data crisis index, mark the business data as business routine data, calculate the difference between the business data analysis index of the business risk data and the business data crisis index, obtain the business risk prominence index SKm, set the business risk prominence index coefficient as Rb, mark the total number of business risk data as Ec, mark the total number of business routine data as Wk, and use the formula The index data analysis value EW of the business index number record is obtained, where Y1 is the average business data analysis index coefficient, m=1, 2, ..., M, and M is the total number of business risk data.

5. The enterprise management data analysis system for enterprise operation according to claim 4 is characterized in that: According to the business data analysis models of various business data, business data analysis indexes of various business data are obtained. Specifically, various business data are input into corresponding business data analysis models respectively, and each business data analysis model outputs a business data analysis index, thereby obtaining the business data analysis indexes of various business data.

6. The enterprise management data analysis system for enterprise operation according to claim 1, characterized in that: Based on the comparison result between the indicator data analysis index and the indicator data analysis boundary index, determine whether the operating indicator type is an abnormal operating indicator type, specifically: obtain the indicator data analysis boundary index of the operating indicator type, compare the indicator data analysis index with the indicator data analysis boundary index, when the indicator data analysis index is greater than the indicator data analysis boundary index, mark the operating indicator type as an abnormal operating indicator type, when the indicator data analysis index is less than or equal to the indicator data analysis boundary index, do not mark the operating indicator type.

7. The enterprise management data analysis system for enterprise operation according to claim 1 is characterized in that: The enterprise operation evaluation is obtained in the following way: obtain the operating indicator spectrum, synchronously obtain all abnormal operating indicator types within the current p time length, compare all abnormal operating indicator types in pairs, when two abnormal operating indicator types have a dependency line in the operating indicator spectrum, sum the indicator data analysis indexes of the two abnormal operating indicator types and take the average to obtain the abnormal indicator dependency index, when the two abnormal operating indicator types do not have a dependency line in the operating indicator spectrum, increase the number of abnormal operating increases by one, set the abnormal indicator dependency threshold index, when the abnormal indicator dependency index is greater than the abnormal indicator dependency threshold index, increase the number of abnormal indicator dependencies by one, when the abnormal indicator dependency index is less than or equal to the abnormal indicator dependency threshold index, do not process it, sum all abnormal indicator dependency times to obtain the abnormal indicator dependency sum times SL, sum all operating abnormal increase times to obtain the operating abnormal increase sum times KC, and use the formula The enterprise operation evaluation value Yy is obtained, where R1 is the abnormal indicator dependence and frequency coefficient, and R2 is the operating abnormal increase and frequency coefficient.

8. The enterprise management data analysis system for enterprise operation according to claim 1, characterized in that: The operation evaluation level of the enterprise is obtained according to the enterprise operation evaluation, specifically: obtain the enterprise operation evaluation value Yy, set an operation evaluation level corresponding to the range of each enterprise operation evaluation value, the range of enterprise operation evaluation value is [0, Y1], (Y1, Y2], ..., (Yy-1, Yy], the operation evaluation level includes operation evaluation level 1, operation evaluation level 2, ..., operation evaluation level y-1, rectification range y, as the operation evaluation level increases, it means that the operation crisis of the enterprise is greater.

9. The enterprise management data analysis system for enterprise operation according to claim 1, characterized in that: Based on the comparison results between the enterprise operation evaluation value and the enterprise operation threshold evaluation value, it is determined whether to adjust the duration of the enterprise operation analysis. Specifically, after the analysis of all operating indicator types in the operating indicator type sequence is completed, the enterprise operation threshold evaluation value is set, and the enterprise operation evaluation value is compared with the enterprise operation threshold evaluation value. When the enterprise operation evaluation value is greater than the enterprise operation threshold evaluation value, the enterprise operation threshold evaluation value is calculated with the enterprise operation evaluation value to obtain the operation evaluation value JG. The next time based on p JG The duration is to analyze the operating indicator types one by one according to the sequence of operating indicator types. When the enterprise operation evaluation value is less than or equal to the enterprise operation threshold evaluation value, the next time the duration is to analyze the operating indicator types one by one according to the sequence of operating indicator types.

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