Operation performance data management method and device, equipment and storage medium

By constructing operating performance analysis models in the regional equity market, management and analysis of the business data of the enterprise, the problem of the existing technology cannot effectively manage the operating data of the equity market enterprise in the region, and realize the comprehensive understanding and risk assessment of the business performance of the enterprise. The company's long -term development.

CN119379061APending Publication Date: 2025-01-28NANJING UNIV
View PDF 5 Cites 0 Cited by

Patent Information

Application Number
CN202411251641.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-08
Publication Date
2025-01-28

AI Technical Summary

Technical Problem

The existing operating data management methods cannot effectively manage the business data of the enterprise in the regional equity market, resulting in the inability to fully understand the business results and asset operation efficiency of the enterprise, the inability to objectively reflect the quality risks and risk prospects of the enterprise, and the inability to deeply diagnose the business management of the enterprise. problems and shortcomings.

Method used

Put forward a method of business performance data management. By obtaining the business data of the enterprise to analyze the enterprise, the data is entered to the business performance analysis model based on the performance of the business performance of regional equity market enterprises, the output business performance analysis results, and the results are sent to the analysis of the analysis of the analysis of the analysis. enterprise.

Benefits of technology

Realize data management of the operating characteristics of regional equity market enterprises, can fully understand the business performance of the enterprise, objectively reflect the quality and risk prospects of the enterprise, and in -depth problems and lack of problems in the management and management of the enterprise, thereby promoting the coordination of enterprises to coordinate short -term interests and long -term long -term develop.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119379061A_ABST
    Figure CN119379061A_ABST
Patent Text Reader

Abstract

The invention discloses an operation performance data management method and device, equipment and a storage medium, and the method comprises the steps: obtaining the enterprise operation data of a to-be-analyzed enterprise; inputting the enterprise operation data into an operation performance analysis model to enable the operation performance analysis model to output an operation performance analysis result; wherein the operation performance analysis model is constructed based on the regional equity market enterprise operation performance of the region where the to-be-analyzed enterprise is located. The operation performance data management method, device and equipment and the storage medium have the beneficial effects that the operation performance data management method, device and equipment for managing the enterprise operation data according to the enterprise operation characteristics in the regional equity market are provided.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present application relates to the technical field of enterprise data management, and more specifically, to a method, device, equipment and storage medium for managing business performance data. Background Art

[0002] The existing business data management methods and systems are aimed at central enterprises and have not yet managed the business data of enterprises in the regional equity market. As a result, it is impossible to conduct a comprehensive analysis and evaluation of the business performance of enterprises from the perspective of investors, it is impossible to fully understand the business results and asset operation efficiency of the enterprise, it is impossible to objectively reflect the quality risks and risk prospects of the enterprise, and it is impossible to deeply diagnose the problems and deficiencies in the business management of the enterprise. Ultimately, it is impossible to promote the enterprise to coordinate short-term interests and long-term development, establish a correct performance concept, continuously improve the economic benefits of the enterprise, and enhance market competitiveness. Summary of the invention

[0003] The content of this application is used to introduce concepts in a brief form, which will be described in detail in the detailed implementation section below. The content of this application is not intended to identify the key features or essential features of the technical solution claimed for protection, nor is it intended to limit the scope of the technical solution claimed for protection.

[0004] Some embodiments of the present application propose operating performance data management methods, devices, equipment and storage media to solve the technical problems mentioned in the above background technology section.

[0005] As a first aspect of the present application, some embodiments of the present application provide a method for managing business performance data, including: obtaining business business data of an enterprise to be analyzed; inputting the business business data into a business performance analysis model so that the business performance analysis model outputs a business performance analysis result; wherein the business performance analysis model is constructed based on the business performance of regional equity market enterprises in the region where the enterprise to be analyzed is located.

[0006] Optionally, in some embodiments of the present application, the step of inputting the enterprise operating data into a business performance analysis model so that the business performance analysis model outputs business performance analysis results includes: determining evaluation plan objectives; forming criteria, i.e., evaluation indicators; and obtaining indicator weights.

[0007] Optionally, in some embodiments of the present application, the construction of the operating performance analysis model also includes: generating an FCE vector; and calculating a comprehensive evaluation result.

[0008] Optionally, in some embodiments of the present application, the construction of the operating performance analysis model further includes: comparing the actual financial indicator ratio with the standard ratio to obtain a standardized ratio, and multiplying the standardized ratio with the proportion of each indicator to obtain a total score.

[0009] Optionally, in some embodiments of the present application, the operating performance data management method further includes: sending the operating performance analysis results to the enterprise to be analyzed.

[0010] Optionally, in some embodiments of the present application, an analysis application sent by the enterprise to be analyzed is received.

[0011] Optionally, in some embodiments of the present application, the operating performance analysis result is a grade classification of the enterprise's operating performance.

[0012] As a second aspect of the present application, some embodiments of the present application provide a business performance data management device, including: an acquisition module for acquiring business business data of an enterprise to be analyzed; and an analysis module for inputting the enterprise business data into a business performance analysis model so that the business performance analysis model outputs a business performance analysis result.

[0013] As the third aspect of the present application, some embodiments of the present application provide an electronic device, comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by one or more processors, the one or more processors implement the method described in any implementation manner of the above-mentioned first aspect.

[0014] As a fourth aspect of the present application, some embodiments of the present application provide a computer-readable medium on which a computer program is stored, wherein when the program is executed by a processor, the method described in any implementation of the above-mentioned first aspect is implemented.

[0015] The beneficial effect of the present application is that it provides a method, device, equipment and storage medium for managing business performance data based on the business characteristics of enterprises in a regional equity market. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings constituting a part of this application are used to provide a further understanding of this application, so that other features, purposes and advantages of this application become more obvious. The illustrative embodiment drawings and their descriptions of this application are used to explain this application and do not constitute an improper limitation on this application.

[0017] In addition, throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and that the components and elements are not necessarily drawn to scale.

[0018] In the attached picture:

[0019] Figure 1 It is a schematic diagram of the main steps of the business performance data management method according to an embodiment of the present application;

[0020] Figure 2 is a schematic diagram of the architecture of a business performance data management device according to an embodiment of the present application;

[0021] Figure 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

[0022] Figure 4 It is a schematic diagram of steps of a specific application scenario according to an embodiment of the present application;

[0023] Figure 5 is a schematic diagram of specific evaluation steps according to an embodiment of the present application;

[0024] Figure 6 It is a schematic diagram of the steps of a specific application process according to an embodiment of the present application;

[0025] Figure 7 It is a schematic diagram of the steps of constructing an analysis model according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0027] It should also be noted that, for ease of description, only the parts related to the invention are shown in the drawings. In the absence of conflict, the embodiments and features in the embodiments of the present disclosure can be combined with each other.

[0028] It should be noted that the concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0029] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0030] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0031] The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0032] Reference Figure 1 As shown, the operating performance data management method of this application includes:

[0033] S101: receiving an analysis application sent by the enterprise to be analyzed.

[0034] S102: Obtain business operation data of the enterprise to be analyzed.

[0035] S103: Inputting the enterprise operation data into the operation performance analysis model so that the operation performance analysis model outputs the operation performance analysis results.

[0036] S104: Send the operating performance analysis results to the enterprise to be analyzed.

[0037] Specifically, step S103 includes: determining the evaluation plan objectives; forming criteria, i.e., evaluation indicators; obtaining indicator weights; generating FCE vectors; calculating comprehensive evaluation results; comparing the actual financial indicator ratio with the standard ratio to obtain a standardized ratio, and multiplying the standardized ratio with the weight of each indicator to obtain a total score.

[0038] Specifically, the results of the operating performance analysis are a classification of the company's operating performance.

[0039] Reference Figure 2 As shown, the operating performance data management device of the present application includes: a receiving module, an acquisition module, an analysis module and an output module.

[0040] Among them, the receiving module is used to receive the analysis application sent by the enterprise to be analyzed; the acquisition module is used to receive and acquire the enterprise business data of the enterprise to be analyzed; the analysis module is used to input the enterprise business data into the business performance analysis model so that the business performance analysis model outputs the business performance analysis results; the output module is used to send the business performance analysis results to the enterprise to be analyzed.

[0041] Reference Figures 4 to 7 As shown, as a specific application scenario of this application, the regional equity market operation data management system is used as a specific implementation application scenario, and the specific scheme of this application is introduced as follows:

[0042] Reference Figure 4As shown, the source platform of enterprise operation data, specifically, can obtain enterprise operation data in different regions from the data sharing module of the regional equity market supervision chain platform. Then, the operation rating analysis module of the regional equity market supervision chain platform is used to evaluate and warn the enterprise's operating performance through the quantitative analysis method of operation rating and operation data. Among them, the data sharing module is equivalent to the acquisition module of this application; the operation rating analysis module of the regional equity market supervision chain platform is equivalent to the analysis module of this application.

[0043] Reference Figure 5 As shown, the specific operating performance evaluation method of the operating rating analysis module of the regional equity market supervision chain platform is based on the analytic hierarchy process (AHP), the fuzzy comprehensive evaluation method (FCE), and the New Wall Method.

[0044] The specific steps of the operating performance evaluation method of the operating rating analysis module of the regional equity market supervision chain platform include:

[0045] 1. Determine the objectives of designing the enterprise's operating performance evaluation program.

[0046] 2. With the idea of ​​"divide and conquer", the evaluation objectives are decomposed, criteria and evaluation indicators are formed, and finally a hierarchical model is constructed.

[0047] 3 Using this hierarchical model, collect the AHP weight conclusions of experts and obtain the ranking weights of each evaluation indicator for the evaluation target. At this point, the AHP process is completed.

[0048] 4. Using the evaluation index of the hierarchical model, that is, the scheme layer elements, as the evaluation index, generate the FCE vector.

[0049] 5. Collect the FCE vector results, and calculate the comprehensive evaluation results of each measured object based on the weights obtained from the expert data (as the weight vector of FCE).

[0050] 6Compare the actual financial indicator ratio with the standard ratio to obtain the standardized ratio, and multiply this standardized ratio by the weight of each indicator to obtain the total score.

[0051] Referring to Table 1, in order to make a more detailed evaluation, this application draws on the indicator design in Order No. 7 of the "Regulations on Performance Evaluation of Central Enterprises (Trial)" to obtain the following indicators and weights. Finally, through the efficiency coefficient method scoring principle, the actual value of the evaluation indicator is compared with the industry evaluation standard value, and the score of each basic indicator is calculated according to the prescribed scoring formula. The calculation formula is as follows:

[0052] Total score of basic indicators = ∑ score of individual basic indicators

[0053] Single basic indicator score = basic score of this level + adjustment score

[0054] Basic score of this level = indicator weight × standard coefficient of this level

[0055] Adjustment score = efficacy coefficient × (upper level basic score - current level basic score)

[0056] Upper basic score = indicator weight × upper standard coefficient

[0057] Efficacy coefficient = (actual value - standard value of this file) / (upper standard value - standard value of this file)

[0058] This standard value refers to the lower level of the upper and lower standard values.

[0059] Table 1

[0060]

[0061] The evaluation results obtained based on the performance evaluation scores and analysis are expressed in terms of evaluation scores, evaluation types and evaluation levels. The evaluation scores are expressed in percentage.

[0062] Evaluation types are levels of comprehensive enterprise performance divided according to evaluation scores, expressed in words and letters, and divided into five types: excellent (A), good (B), medium (C), low (D), and poor (E). Evaluation levels are further divided into grades for each type to reflect the differences of the same evaluation type, and are expressed by repeating the letter after the letter.

[0063] The comprehensive performance evaluation results of enterprises use 85, 70, 50 and 40 points as the scoring line for type determination.

[0064] 1. The evaluation type of the evaluation with a score of 85 points or above (including 85 points) is excellent (Class A), and is divided into three levels on this basis, namely: AAA ≥ 95 points; 95 points > AA ≥ 90 points; 90 points > A ≥ 85 points;

[0065] 2. The evaluation type of the evaluation score of 70 points or more (including 70 points) but less than 85 points is good (category B), and is divided into three levels on this basis, namely: 85 points>BBB≥80 points; 80 points>BB≥75 points; 75 points>B≥70 points;

[0066] 3. The evaluation type of those with an evaluation score of 50 points or more (including 50 points) but less than 70 points is medium (C type), and is divided into two levels on this basis: 70 points>CC≥60 points; 60 points>C≥50 points;

[0067] 4. The evaluation type with an evaluation score of 40 points or more (including 40 points) but less than 50 points is low (category D);

[0068] 5. The evaluation type with an evaluation score below 40 points is poor (Type E).

[0069] Reference Figure 6 As shown, users can access the regional equity market operation data management system to achieve Figure 6 The specific steps shown are: checking the business operation data of regional equity market enterprises; sending an application to the regional equity market supervision chain platform; the regional equity market supervision chain platform receives the application; whether to agree to the request; if yes, sending the business operation data evaluation index and rating to the applicant, if not, returning; the applicant accepts the data.

[0070] Reference Figure 7 As shown in the figure, the specific construction process of the database of the regional equity market operation data management system includes:

[0071] First, data collection is performed.

[0072] Then, visit the enterprises / enterprises to fill in the data based on the data requirements raised by the system to form a digital file of the enterprise's operations.

[0073] Subsequently, multi-dimensional data such as corporate entity information and financial statement information are collected to establish a regional equity market corporate operation database.

[0074] The data in the database are digitally layered; after layering, there are two processes, one of which is to layer the digital files according to the industry and scale of the enterprise, and regularly update the data needs; the other is to conduct performance evaluation, and then calculate the enterprise score according to the scale of the enterprise and the corresponding standard value table, and give the enterprise a rating.

[0075] Both branches are aimed at forming a digital portrait of the business operations; ultimately, based on the total score of the enterprise, an analysis of strengths and weaknesses, abnormal dimensions, and abnormal indicators can be conducted.

[0076] Based on the above scheme, the specific application of the technical scheme of this application can achieve: (1) Through the regional equity market enterprise performance index, we can understand the overall operation of the enterprise in its industry or region, including financial status, market performance, management quality and other aspects. This helps investors, creditors, corporate leaders and stakeholders make more informed decisions. (2) Through the regional equity market enterprise performance index, we can objectively evaluate the management level of the enterprise. Through a detailed analysis of various indicators, the enterprise can find out the deficiencies in management, further optimize the management process and improve the management quality. (3) The release of the regional equity market enterprise performance index can enhance the transparency of the market and provide investors with more decision-making basis. At the same time, this will also help regulators to more effectively supervise the market and maintain market fairness and justice. (4) The regional equity market enterprise performance index can help users understand the operating performance of each enterprise in the regional equity market, thereby helping users to adjust and optimize strategies more accurately and improve the pertinence and effectiveness of strategies. (5) The regional equity market enterprise performance index can help industry analysts and researchers conduct industry analysis to gain an in-depth understanding of the overall development of the industry, the competitive landscape, etc. This helps them predict the future development trend of the industry and provide valuable reference information for enterprises and investors.

[0077] like Figure 3 As shown, the electronic device 800 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 801, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage device 808 into a random access memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the electronic device 800 are also stored. The processing device 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0078] Typically, the following devices may be connected to the I / O interface 805: input devices 806 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 807 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 808 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 809. The communication device 809 may allow the electronic device 800 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 800 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0079] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In some such embodiments, the computer program can be downloaded and installed from the network through the communication device 809, or installed from the storage device 808, or installed from the ROM 802. When the computer program is executed by the processing device 801, the above-mentioned functions defined in the method of some embodiments of the present disclosure are executed.

[0080] It should be noted that the computer-readable medium described above in some embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0081] In some embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device, or device. In some embodiments of the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in combination with an instruction execution system, device, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0082] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperTextTransferProtocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an adhoc peer-to-peer network), as well as any currently known or future developed network.

[0083] The computer-readable medium may be included in the electronic device, or may exist independently without being installed in the electronic device. The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device: obtains the business operation data of the enterprise to be analyzed; inputs the business operation data into the business performance analysis model so that the business performance analysis model outputs the business performance analysis results.

[0084] Computer program code for performing the operations of some embodiments of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0085] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, which contains one or more executable instructions for implementing a specified logical function.

[0086] It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures.

[0087] For example, two boxes shown in succession may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of boxes in the block diagram and / or flow chart, can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0088] The units described in some embodiments of the present disclosure may be implemented by software or by hardware.

[0089] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0090] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. A method for managing business performance data, comprising: Obtaining business operation data of the enterprise to be analyzed; Inputting the enterprise operation data into the operation performance analysis model so that the operation performance analysis model outputs an operation performance analysis result; The operating performance analysis model is constructed based on the operating performance of regional equity market enterprises in the region where the enterprise to be analyzed is located.

2. The method for managing business performance data according to claim 1, Features: The step of inputting the enterprise operation data into the operation performance analysis model so that the operation performance analysis model outputs an operation performance analysis result includes: Determine the evaluation program objectives; Formation criteria are evaluation indicators; Get the indicator weight.

3. The operating performance data management method according to claim 2, Features: The construction of the business performance analysis model also includes: Generate FCE vector; Calculate the comprehensive evaluation results.

4. The method for managing business performance data according to claim 3, characterized in that: in, The construction of the business performance analysis model also includes: Compare the actual financial indicator ratio with the standard ratio to obtain the standardized ratio, and multiply this standardized ratio by the weight of each indicator to obtain the total score.

5. The method for managing business performance data according to any one of claims 1 to 4, characterized in that: The operating performance data management method further includes: The operating performance analysis results are sent to the enterprise to be analyzed.

6. The method for managing business performance data according to claim 5, characterized in that: Receive an analysis application sent by the enterprise to be analyzed.

7. The method for managing business performance data according to claim 6, characterized in that: The operating performance analysis result is a classification of the operating performance of the enterprise.

8. A business performance data management device, comprising: An acquisition module is used to acquire the business operation data of the enterprise to be analyzed; The analysis module is used to input the enterprise operation data into the operation performance analysis model so that the operation performance analysis model outputs the operation performance analysis results.

9. An electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the processors implement the method according to any one of claims 1 to 7.

10. A computer readable medium having a computer program stored thereon, wherein: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

Citation Information

Patent Citations

  • Securities industry performance evaluation method, system and device, and storage medium

    CN108537436A

  • Enterprise credit rating evaluation method based on cloud platform

    CN113743817A

  • Method and system for determining differentiated performance of equipment type suppliers

    CN114282697A

  • Enterprise operation data processing method and system

    CN116644985A

  • Organic electroluminescence device and fused polycyclic compound for luminescence device

    KR102965379B1