Enterprise data analysis system based on cloud computing

Abstract

The invention discloses an enterprise data analysis system based on cloud computing, and comprises an enterprise data analysis method based on enterprise cloud computing, and the enterprise data analysis method mainly comprises the following steps: accessing the enterprise data analysis method into an enterprise project management system; monitoring the selected target bidding enterprise through the dimension trust index, and comparing the plurality of bidding enterprises; analyzing the project adaptation degree between the employees of the enterprise and the employees of the target bidding enterprise; according to the method, the bidding enterprises are monitored according to the dimension trust index, the project adaptation degree is analyzed, the condition of the target bidding enterprise can be evaluated, information intercommunication of an employee information docking channel is enhanced, the target bidding enterprise is more visually and accurately understood, the accuracy of data analysis is improved, and the user experience is improved. According to the invention, the method has the characteristics of high enterprise capability evaluation capability and high enterprise state detection precision.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to an enterprise data analysis system based on cloud computing. Background Art

[0002] With the rapid development of information technology, cloud computing and big data analysis have become the core driving force for enterprise innovation and development. As a perfect combination of the two, cloud computing data analysis system is leading the new trend of data processing and analysis with its unique advantages.

[0003] Under the current development trend, cooperation between enterprises often uses enterprise data analysis systems to evaluate the various situations of the other party's enterprises. However, when evaluating the cooperation of the target enterprise, it is impossible to confirm the compatibility between the bidding enterprise and the enterprise itself without a detailed evaluation of the enterprise's product quality, which wastes a lot of evaluation resources and may even hinder subsequent cooperation due to inaccurate evaluation results of the enterprise's compatibility. Therefore, it is necessary to design a cloud computing-based enterprise data analysis system with strong enterprise capability evaluation capabilities and high enterprise status detection accuracy. Summary of the invention

[0004] The purpose of the present invention is to provide an enterprise data analysis system based on cloud computing to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an enterprise data analysis system based on cloud computing, including an enterprise data analysis method based on enterprise cloud computing, the enterprise data analysis method mainly comprising the following steps:

[0006] Step S1: accessing the enterprise data analysis method in the enterprise project management system, and when the enterprise receives a project that needs to be tendered, collecting the information of multiple bidding enterprises stored in the project terminal;

[0007] Step S2: monitor the selected target bidding enterprise through the dimensional trust index and compare multiple bidding enterprises;

[0008] Step S3: Open the enterprise employee information docking channel and analyze the project compatibility between the enterprise's own employees and the target bidding enterprise's employees;

[0009] Step S4: Select the most suitable bidding enterprise based on data analysis.

[0010] According to the above technical solution, step S2 includes:

[0011] Step S21: After authorization by the target enterprise, analyze the information of employees involved in the project in the target enterprise, obtain relevant information of the employees of the enterprise, help the enterprise to understand the information of the target enterprise, compare the specific information of different cooperative enterprises, and select better cooperative enterprises;

[0012] Step S22: After retrieving the data features of the bidding enterprise, the parameter detection method for data analysis of the bidding enterprise is divided into ability dimension trust, honesty dimension trust and goodwill dimension trust according to the product data dimension of the bidding enterprise. According to the analysis results of the three different enterprise dimension parameters, the comprehensive data of the enterprise is analyzed, and the impact of the three-dimensional trust index on the enterprise is analyzed. Finally, the total dimension trust parameter η of the enterprise is obtained. 总 =η 1 +η 2 +η 3 , if the total trust parameter of the target bidding enterprise reaches the limit value η 界 , then output the information that the enterprise can adapt to cooperation.

[0013] According to the above technical solution, step S22 includes:

[0014] Step S221: Open the enterprise employee information docking channel, evaluate the bidding enterprise through two enterprise dimension tests, namely, ability dimension trust and honesty dimension trust, to obtain the integrity of the cooperation information channel;

[0015] Step S222: extract the bidding company's historical cooperation companies and cooperation results to monitor the bidding company's historical transaction benefits, and obtain the honesty dimension trust parameter of the target bidding company;

[0016] Step S223: Evaluate the capabilities of the bidding companies by detecting the information of the bidding company employees, and obtain the capability dimension trust parameters of the target bidding company.

[0017] According to the above technical solution, in step S222, the monitoring method of the honesty dimension trust is specifically:

[0018] In the cooperation terminal between enterprises, the target bidding enterprise database is authorized to access the historical bidding information stored in the target bidding enterprise database, and the number of successful biddings when the target bidding enterprise cooperates with other enterprises is K1. The number of other competitors recorded by the bidding enterprise during the bidding is A. 1 , A 2 ……A K1 , the number of failed bids K2, the number of other competitors recorded by the bidding company during the bidding is B 1 , B 2 ……B K2 , then the current bidding enterprise has a strong competitive rate when bidding Among them, μ 1 is the successful bidding repetition rate, μ 1 Specifically, it is the average ratio of the number of duplicate enterprises in the other unsuccessful enterprises when the target bidding enterprise successfully bids once and the other unsuccessful enterprises in all other statistical biddings, μ 2 is the bidding failure re-competition rate, μ 2 Specifically, in all statistical biddings, when the target bidding enterprise fails in a single bidding, the average ratio of other successful bidding enterprises to other successful bidding enterprises in all other statistical biddings appears in duplicate enterprises. Then the honesty dimension trust index parameter value of the target bidding enterprise is the effective competition rate of the current bidding enterprise when bidding. At this time, the honesty dimension trust index parameter η 1 =η%.

[0019] According to the above technical solution, in step S223, the monitoring method of capability dimension trust is specifically as follows:

[0020] In the enterprise's cooperation terminal, authorize access to the employee work information stored in the target bidding enterprise database, and the access rights to the work computers of the enterprise's project docking employees. Obtain the average total working time of the target project team during the daily working hours of the bidding company, which is T hours. After the target project team successfully accepts the bidding project and starts working on the bidding project, the target project team has a complete speed of the project workload. The actual number of days the target employee and his / her project team completed the project Where Z is the total daily progress of the project team recorded in the daily plan. 0 is the total amount of the bidding project, and the completion time t of projects of the same scale as the company is extracted from the market project planning database 0 , then the target bidding enterprise's trust parameter for the project's capability dimension is

[0021] According to the above technical solution, step S3 includes:

[0022] Step S31: Analyze the business capabilities of the company's own employees through the cooperation information channel, analyze the capabilities of the employees and project teams, assign the corresponding business to the corresponding project team when accepting the corresponding business, and monitor the projects accepted by the company's own employees in real time;

[0023] Step S32: According to the detection method of step S223, the actual number of days C for the enterprise's own employees and project team to complete the project is obtained. 1 , the enterprise's trust parameter for the project's capability dimension where t 01To extract the planning time of projects of the same size as the company in the market project planning database, the trust parameter of the target bidding enterprise's goodwill dimension for the project is

[0024] According to the above technical solution, the enterprise data analysis system includes a data acquisition module, an enterprise analysis module and an output module. The data acquisition module is used to obtain relevant data of the enterprise to provide data support for detecting the capabilities of the bidding enterprises; the enterprise analysis module is used to analyze the capabilities of the target bidding company and determine whether the target bidding company meets the adaptation standards; the output module is used to output the most suitable target company for selection.

[0025] According to the above technical solution, the data collection module includes an enterprise cooperation information collection terminal and an enterprise employee data collection module. The enterprise cooperation information collection terminal is used to collect relevant data of the cooperating enterprises; the enterprise employee data collection module is used to collect relevant work data of employees within the target bidding enterprise and the enterprise's own employees.

[0026] According to the above technical solution, the enterprise analysis module includes a dimensional trust detection module and a bidding matching module. The dimensional trust detection module is used to detect the cooperation suitability of the target bidding enterprise through dimensional trust parameters; the bidding matching module is used to match the most suitable enterprise through analysis results.

[0027] According to the above technical solution, the dimensional trust detection module includes an ability dimension detection submodule, an honesty dimension detection submodule and a goodwill dimension detection submodule. The ability dimension detection submodule is used to perform data analysis on the target bidding enterprise in the direction of the ability dimension; the honesty dimension detection submodule is used to perform data analysis on the target bidding enterprise in the direction of the honesty dimension; the goodwill dimension detection submodule is used to perform data analysis on the target bidding enterprise in the direction of the goodwill dimension.

[0028] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by monitoring the bidding enterprises through the dimensional trust index and analyzing the project suitability, can evaluate the quality assurance of the target bidding enterprises' products, effectively solve the situation where the target bidding enterprises' small amount of products have poor sales and thus produce erroneous data analysis, can help enterprises effectively understand the intensity of the work of employees within the target bidding enterprises, and more quickly and accurately obtain the enterprise's capability dimension trust parameters; enhance the information exchange of the employee information docking channel, obtain a more intuitive and accurate understanding of the target bidding enterprises, improve the accuracy of data analysis, and facilitate the selection of more suitable enterprises for cooperation. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0030] Figure 1 It is a flow chart of a method for operating a cloud computing-based enterprise data analysis system provided by the present invention;

[0031] Figure 2 It is a schematic diagram of the module composition of a cloud computing-based enterprise data analysis system provided by the present invention. DETAILED DESCRIPTION

[0032] 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.

[0033] See also Figure 1 The present invention provides a technical solution: an enterprise data analysis system based on cloud computing, comprising:

[0034] An enterprise data analysis method based on enterprise cloud computing, the enterprise data analysis method mainly includes the following steps:

[0035] Step S1: accessing the enterprise data analysis method in the enterprise project management system, and when the enterprise receives a project that needs to be tendered, collecting the information of multiple bidding enterprises stored in the project terminal;

[0036] Step S2: monitor the selected target bidding enterprise through the dimensional trust index and compare multiple bidding enterprises;

[0037] Step S3: Open the enterprise employee information docking channel and analyze the project compatibility between the enterprise's own employees and the target bidding enterprise's employees;

[0038] Step S4: Select the most suitable bidding enterprise based on data analysis.

[0039] The embodiments of the present invention can monitor the bidding enterprises through the dimensional trust index and analyze the project suitability, so as to evaluate the quality assurance of the target bidding enterprises' products, effectively solve the situation that the target bidding enterprises' small amount of products have poor sales and thus produce erroneous data analysis, and can help enterprises effectively understand the work intensity of employees in the target bidding enterprises, and obtain the enterprises' capability dimension trust parameters more quickly and accurately; enhance the information exchange of the employee information docking channel, obtain a more intuitive and accurate understanding of the target bidding enterprises, improve the accuracy of data analysis, and facilitate the selection of more suitable enterprises for cooperation.

[0040] In a preferred embodiment, step S2 comprises:

[0041] Step S21: After authorization by the target enterprise, analyze the information of employees involved in the project in the target enterprise, obtain relevant information of the employees of the enterprise, help the enterprise to understand the information of the target enterprise, compare the specific information of different cooperative enterprises, and select better cooperative enterprises;

[0042] Step S22: After retrieving the data features of the bidding enterprise, the parameter detection method for data analysis of the bidding enterprise is divided into ability dimension trust, honesty dimension trust and goodwill dimension trust according to the product data dimension of the bidding enterprise. According to the analysis results of the three different enterprise dimension parameters, the comprehensive data of the enterprise is analyzed, and the impact of the three-dimensional trust index on the enterprise is analyzed. Finally, the total dimension trust parameter η of the enterprise is obtained. 总 =η 1 +η 2 +η 3 , if the total trust parameter of the target bidding enterprise reaches the limit value η 界 , then output the information that the enterprise can adapt to cooperation.

[0043] This paper introduces a method of evaluating enterprise data analysis through dimensional trust index, among which the trust in capability dimension has the greatest impact on the analysis results of bidding enterprises. The data analysis of bidding enterprises by capability dimension trust can make judgments on the internal nature of bidding enterprises.

[0044] In a preferred embodiment, step S22 includes:

[0045] Step S221: Open the enterprise employee information docking channel, evaluate the bidding enterprise through two enterprise dimension tests, namely, ability dimension trust and honesty dimension trust, to obtain the integrity of the cooperation information channel;

[0046] Step S222: extract the bidding company's historical cooperation companies and cooperation results to monitor the bidding company's historical transaction benefits, and obtain the honesty dimension trust parameter of the target bidding company;

[0047] Step S223: Evaluate the capabilities of the bidding companies by detecting the information of the bidding company employees, and obtain the capability dimension trust parameters of the target bidding company.

[0048] In step S222 of this embodiment, the monitoring method of the honesty dimension trust is specifically as follows:

[0049] In the cooperation terminal between enterprises, the target bidding enterprise database is authorized to access the historical bidding information stored in the target bidding enterprise database, and the number of successful biddings when the target bidding enterprise cooperates with other enterprises is K1. The number of other competitors recorded by the bidding enterprise during the bidding is A. 1 , A 2 ……A K1 , the number of failed bids K2, the number of other competitors recorded by the bidding company during the bidding is B 1 , B 2 ……B K2 , then the current bidding enterprise has a strong competitive rate when bidding Among them, μ 1 is the successful bidding repetition rate, μ 1 Specifically, it is the average ratio of the number of duplicate enterprises in the other unsuccessful enterprises when the target bidding enterprise successfully bids once and the other unsuccessful enterprises in all other statistical biddings, μ 2 is the bidding failure re-competition rate, μ 2 Specifically, in all statistical biddings, when the target bidding enterprise fails in a single bidding, the average ratio of other successful bidding enterprises to other successful bidding enterprises in all other statistical biddings appears in duplicate enterprises. Then the honesty dimension trust index parameter value of the target bidding enterprise is the effective competition rate of the current bidding enterprise when bidding. At this time, the honesty dimension trust index parameter η 1 =η%.

[0050] Since the honesty of the bidding enterprise is related to its reputation in the bidding market, and compared with the enterprise's own ability, the reputation of the enterprise to the outside world can better determine whether the enterprise can successfully promote its products to the outside and participate in bidding. If the target bidding enterprise's honesty is higher, the more times it competes effectively in the bidding market, the more likely it is to succeed in bidding; conversely, if the target bidding enterprise's honesty is lower, the fewer times it competes effectively in the bidding market, the less likely it is to succeed in bidding. By using the effective competition rate of the bidding enterprise during bidding as a detection method for the trust indicator of the target bidding enterprise's honesty dimension, the quality assurance of the target bidding enterprise's products can be evaluated, effectively solving the problem of error data analysis caused by poor sales of a small number of target bidding enterprises' products, and improving the accuracy of data analysis.

[0051] In step S223 of this embodiment, the monitoring method of capability dimension trust is specifically as follows:

[0052] In the enterprise's cooperation terminal, authorize access to the employee work information stored in the target bidding enterprise database, and the access rights to the work computers of the enterprise's project docking employees. Obtain the average total working time of the target project team during the daily working hours of the bidding company, which is T hours. After the target project team successfully accepts the bidding project and starts working on the bidding project, the target project team has a complete speed of the project workload. The actual number of days the target employee and his / her project team completed the project Where Z is the total daily progress of the project team recorded in the daily plan. 0 is the total amount of the bidding project, and the completion time t of projects of the same scale as the company is extracted from the market project planning database 0 , then the target bidding enterprise's trust parameter for the project's capability dimension is

[0053] This technical solution solves the problem that the process of evaluating the ability of enterprises to produce products by testing the quality of the required products is too difficult, which will lead to a lengthy evaluation process and a large consumption of public resources. Through authorization, the real-time transmission of employee work information in the cooperative employee channel can help enterprises effectively understand the intensity of employees' work in the target bidding enterprises and obtain the trust parameters of the enterprise's ability dimension more quickly and accurately.

[0054] In a preferred embodiment, step S3 includes:

[0055] Step S31: Analyze the business capabilities of the company's own employees through the cooperation information channel, analyze the capabilities of the employees and project teams, assign the corresponding business to the corresponding project team when accepting the corresponding business, and monitor the projects accepted by the company's own employees in real time;

[0056] Step S32: According to the detection method of step S223, the actual number of days C for the enterprise's own employees and project team to complete the project is obtained 1 , the enterprise's trust parameter for the project's capability dimension where t 01 To extract the planning time of projects of the same size as the company in the market project planning database, the trust parameter of the target bidding enterprise's goodwill dimension for the project is

[0057] Excluding other factors of the employees themselves that may affect task completion, by comparing the working hours of the employees of the target bidding company with the company's own employees, we conduct a horizontal analysis of the compatibility between the company and the employees of the bidding companies.

[0058] This technical solution solves the problem that when evaluating target bidding companies, enterprises have difficulty effectively linking their own work situation with the target companies. By analyzing the work intensity of enterprise employees and using the trust parameter ratio of the ability dimension between the enterprise's own employees and the target bidding company's employees as the detection standard for the goodwill dimension parameter, it is possible to improve the contact content between enterprises in addition to product data during enterprise data analysis, enhance the information exchange of employee information docking channels, obtain a more intuitive and accurate understanding of the target bidding companies, and facilitate the selection of more suitable companies for cooperation.

[0059] The enterprise data analysis system includes a data acquisition module, an enterprise analysis module and an output module. The data acquisition module is used to obtain relevant data of the enterprise and provide data support for detecting the capabilities of the bidding enterprises; the enterprise analysis module is used to analyze the capabilities of the target bidding company and determine whether the target bidding company meets the adaptation standards; the output module is used to output the most suitable target company.

[0060] The data collection module includes an enterprise cooperation information collection terminal and an enterprise employee data collection module. The enterprise cooperation information collection terminal is used to collect relevant data of the cooperative enterprises; the enterprise employee data collection module is used to collect relevant work data of employees within the target bidding enterprise and the enterprise's own employees.

[0061] The enterprise analysis module includes a dimensional trust detection module and a bidding matching module. The dimensional trust detection module is used to detect the cooperation suitability of the target bidding enterprise through dimensional trust parameters; the bidding matching module is used to match the most suitable enterprise through analysis results.

[0062] The dimensional trust detection module includes an ability dimension detection submodule, an honesty dimension detection submodule and a goodwill dimension detection submodule. The ability dimension detection submodule is used to perform data analysis on the target bidding enterprise in the direction of the ability dimension; the honesty dimension detection submodule is used to perform data analysis on the target bidding enterprise in the direction of the honesty dimension; and the goodwill dimension detection submodule is used to perform data analysis on the target bidding enterprise in the direction of the goodwill dimension.

[0063] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0064] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An enterprise data analysis system based on cloud computing, characterized by: A method for analyzing enterprise data based on enterprise cloud computing is provided, wherein the method mainly comprises the following steps: Step S1: accessing the enterprise data analysis method in the enterprise project management system, and when the enterprise receives a project that needs to be tendered, collecting the information of multiple bidding enterprises stored in the project terminal; Step S2: monitor the selected target bidding enterprise through the dimensional trust index and compare multiple bidding enterprises; Step S3: Open the enterprise employee information docking channel and analyze the project compatibility between the enterprise's own employees and the target bidding enterprise's employees; Step S4: Select the most suitable bidding enterprise based on data analysis.

2. The cloud computing-based enterprise data analysis system according to claim 1, characterized in that: The step S2 comprises: Step S21: After authorization by the target enterprise, analyze the information of employees involved in the project in the target enterprise, obtain relevant information of the employees of the enterprise, help the enterprise to understand the information of the target enterprise, compare the specific information of different cooperative enterprises, and select better cooperative enterprises; Step S22: After retrieving the data features of the bidding enterprise, the parameter detection method for data analysis of the bidding enterprise is divided into ability dimension trust, honesty dimension trust and goodwill dimension trust according to the product data dimension of the bidding enterprise. According to the analysis results of the three different enterprise dimension parameters, the comprehensive data of the enterprise is analyzed, and the impact of the three-dimensional trust index on the enterprise is analyzed. Finally, the total dimension trust parameter η of the enterprise is obtained. 总 =η1+η2+η3, if the total trust parameter of the target bidding enterprise reaches the limit value η 界 , then output the information that the enterprise can adapt to cooperation.

3. The cloud computing-based enterprise data analysis system according to claim 2, characterized in that: The step S22 comprises: Step S221: Open the enterprise employee information docking channel, evaluate the bidding enterprise through two enterprise dimension tests, namely, ability dimension trust and honesty dimension trust, to obtain the integrity of the cooperation information channel; Step S222: extract the bidding company's historical cooperation companies and cooperation results to monitor the bidding company's historical transaction benefits, and obtain the honesty dimension trust parameter of the target bidding company; Step S223: Evaluate the capabilities of the bidding company by detecting the information of the bidding company's employees, and obtain the capability dimension trust parameters of the target bidding company.

4. The cloud computing-based enterprise data analysis system according to claim 3, characterized in that: In step S222, the monitoring method of the honesty dimension trust is specifically as follows: In the cooperation terminal between enterprises, the target bidding enterprise database is authorized to access the historical bidding information stored in the target bidding enterprise database, and the number of successful biddings when the target bidding enterprise cooperates with other enterprises is K1. The number of other competitors recorded by the bidding enterprise during the bidding is A1, A2, ... A K1 , the number of failed bids is K2, and the number of other competitors recorded by the bidding company during the bidding is B1, B2, ... B K2 , then the current bidding enterprise has a strong competitive rate when bidding Among them, μ1 is the successful bidding repeated competition rate, and μ1 is specifically the average ratio of repeated enterprises among other unsuccessful bidding enterprises and other unsuccessful bidding enterprises in all statistical biddings when the target bidding enterprise successfully bids once in all statistical biddings; μ2 is the failed bidding repeated competition rate, and μ2 is specifically the average ratio of repeated enterprises among other successful bidding enterprises and other successful bidding enterprises in all statistical biddings when the target bidding enterprise fails to bid once in all statistical biddings. Then the honesty dimension trust index parameter value of the target bidding enterprise is the effective competition rate of the current bidding enterprise when bidding, and at this time the honesty dimension trust index parameter η1 = η%.

5. The cloud computing-based enterprise data analysis system according to claim 4, characterized in that: In step S223, the monitoring method of capability dimension trust is specifically as follows: In the enterprise's cooperation terminal, authorize access to the employee work information stored in the target bidding enterprise database, and the access rights to the work computers of the enterprise's project docking employees. Obtain the average total working time of the target project team during the daily working hours of the bidding company, which is T hours. After the target project team successfully accepts the bidding project and starts working on the bidding project, the target project team has a complete speed of the project workload. The actual number of days the target employee and his / her project team completed the project Where Z is the total daily progress of the project team recorded in the daily plan, Z0 is the total number of projects of the bidding project, and the completion time t0 of projects of the same scale as the company is extracted from the market project planning database. Then, the target bidding enterprise's trust parameter for the project's capability dimension is 6. The cloud computing-based enterprise data analysis system according to claim 5, characterized in that: The step S3 comprises: Step S31: Analyze the business capabilities of the company's own employees through the cooperation information channel, analyze the capabilities of the employees and project teams, assign the corresponding business to the corresponding project team when accepting the corresponding business, and monitor the projects accepted by the company's own employees in real time; Step S32: According to the detection method of step S223, the actual number of days C1 for the enterprise's own employees and project team to complete the project and the enterprise's trust parameter of the project's capability dimension are obtained. where t 01 To extract the planning time of projects of the same size as the company in the market project planning database, the trust parameter of the target bidding enterprise's goodwill dimension for the project is 7. The cloud computing-based enterprise data analysis system according to claim 6, characterized in that: The enterprise data analysis system includes a data acquisition module, an enterprise analysis module and an output module. The data acquisition module is used to obtain relevant data of the enterprise to provide data support for detecting the capabilities of the bidding enterprises; the enterprise analysis module is used to analyze the capabilities of the target bidding company and determine whether the target bidding company meets the adaptation standards; the output module is used to output the most suitable target company for selection.

8. The cloud computing-based enterprise data analysis system according to claim 7, characterized in that: The data collection module includes an enterprise cooperation information collection terminal and an enterprise employee data collection module, wherein the enterprise cooperation information collection terminal is used to collect relevant data of the cooperative enterprise; The enterprise employee data collection module is used to collect relevant work data of employees within the target bidding enterprise and the enterprise's own employees.

9. The cloud computing-based enterprise data analysis system according to claim 8, characterized in that: The enterprise analysis module includes a dimensional trust detection module and a bidding matching module. The dimensional trust detection module is used to detect the cooperation suitability of the target bidding enterprise through dimensional trust parameters; the bidding matching module is used to match the most suitable enterprise through analysis results.

10. The enterprise data analysis system based on cloud computing according to claim 9, characterized in that: The dimension trust detection module includes a capability dimension detection submodule, an honesty dimension detection submodule and a goodwill dimension detection submodule, and the capability dimension detection submodule is used to perform data analysis on the target bidding enterprise in the capability dimension direction; The honesty dimension detection submodule is used to perform data analysis on the target bidding enterprise in the direction of the honesty dimension; The goodwill dimension detection submodule is used to perform data analysis on the target bidding enterprise in the direction of the goodwill dimension.

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