Enterprise data evaluation method and system and related products

Abstract

The embodiment of the invention discloses an enterprise data evaluation method and system and related products. According to the enterprise listing regulation sets, current listing regulations are classified and summarized according to business indexes, and a plate set to which each enterprise listing regulation set corresponds is designed, so that the current listing regulations can be stored and automatically participated in evaluation in a structural data form which is convenient for a computer to understand in a large range; and the labor input cost and the evaluation time are reduced. Through the design, enterprise listing laws and regulations can be gradually separated from underlying codes, so that when the laws and regulations need to be updated, a large number of underlying codes do not need to be modified, and changes of the enterprise listing laws and regulations are quickly responded. And the enterprise listing regulation set is divided according to the plate elements, so that the correspondingly found target enterprise listing regulation set can be ensured to practically conform to the actual conditions such as the pre-listing plate and the enterprise type of the current enterprise, the specific unsatisfied business indexes of the current enterprise can be accurately identified, and the IPO compliance risk is efficiently avoided for the enterprise.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of data processing technology, and in particular, to enterprise data evaluation methods, systems and related products. Background Art

[0002] In reality, companies often hope to issue stocks to investors for the first time through stock exchanges at an appropriate time (IPO, Initial Public Offering) in order to raise funds for corporate development, and the process of implementing this IPO can also be called the company's listing process. However, companies need to meet the requirements stipulated by many laws and regulations to initiate IPOs, and must be approved by relevant stock exchanges in accordance with the law. The required materials and procedures are quite cumbersome. Once an error occurs in any link or there is a compliance risk, it may cause the IPO to fail.

[0003] At present, the listing services provided by the industry to enterprises are usually to simply list and display a series of laws and regulations issued by the China Securities Regulatory Commission or major exchanges in the form of table documents. However, it can be seen that such documents in the industry only simply realize the visual presentation of the key points of enterprise listing regulations, and still need to manually compare the actual situation of the enterprise with the details of the regulations one by one in combination with the documents, which has low risk identification efficiency; moreover, in the face of constantly updated regulatory content and massive enterprise data, the manual workload required is large, and it is difficult to quickly and accurately identify the specific IPO compliance risk points currently faced by the enterprise, that is, it is difficult to efficiently locate which listing terms the enterprise does not meet. Summary of the invention

[0004] The embodiments of the present application provide enterprise data evaluation methods, systems and related products for conveniently and accurately identifying IPO compliance risks and assisting enterprises in successfully listing.

[0005] The first aspect of the embodiment of the present application provides an enterprise data evaluation method, comprising: obtaining each pre-constructed section set and each section set corresponding to the constructed enterprise listing regulation set; wherein each section set is divided according to the section element value defined by the current listing regulations, and the enterprise listing regulation set summarizes the business indicator standard value specifically required by the current listing regulations for the pre-listed enterprise through different business indicators, and the section element includes the listing section and the enterprise type;

[0006] Based on the pre-listing sector of the current enterprise and the type of enterprise it belongs to, searching for a target enterprise listing regulation set that is suitable for the current enterprise from the correspondence between the sector set and the enterprise listing regulation set;

[0007] The actual values ​​of the business indicators of the current enterprise are compared with the corresponding standard values ​​of the business indicators in the target enterprise's listing regulations to determine the listing satisfaction result of the current enterprise, and when the listing satisfaction result is not satisfied, the specific business indicators of the current enterprise that are not satisfied in the target enterprise's listing regulations are displayed.

[0008] Optionally, the construction process of each of the plate sets includes:

[0009] Based on each of the section elements, the text content of the current listing regulations is structured and decomposed to extract keywords that conform to the parts of speech of each of the section elements and are related to the expression of each of the section elements as section element values; the section element values ​​are used to integrate various section sets represented in a structured form.

[0010] Optionally, the process of constructing the enterprise listing regulations set includes:

[0011] Extracting text descriptions of each of the business indicators from the current listing regulations as standard values ​​of the business indicators;

[0012] The standard values ​​of the business indicators are classified according to the corresponding sector element values ​​to integrate the enterprise listing regulations set belonging to different sector sets.

[0013] Optionally, the process of constructing the enterprise listing regulations set includes:

[0014] According to the applicable time of the business indicator standard value, the business indicator standard value in each enterprise listing regulations set is divided into time dimensions, so that the target enterprise listing regulations set found is applicable to comparing the actual value of the business indicator in the time dimension.

[0015] Optionally, comparing the actual value of each business indicator of the current enterprise with the standard value of each business indicator corresponding to the target enterprise listing regulations to determine the listing satisfaction result of the current enterprise includes:

[0016] If there are multiple sets of listing standards in the target enterprise listing regulations set, calculate the proportion of the number of actual values ​​of the business indicators that meet the corresponding standard values ​​of the business indicators in each set of the listing standards to the total number of standard values ​​of the business indicators; wherein the business indicators and the standard values ​​of the business indicators specified in the multiple sets of the listing standards are not completely the same;

[0017] If the proportion corresponding to at least one set of the listing standards reaches a preset proportion, it is determined that the listing satisfaction result met by the current enterprise is compliant.

[0018] Optionally, when the listing satisfaction result is not satisfied, the business indicators that the current enterprise does not specifically satisfy in the target enterprise listing regulations are displayed, including:

[0019] From the multiple sets of listing standards, the listing standard with the highest proportion is selected as the best applicable standard;

[0020] The business indicators that the current enterprise does not meet in the best applicable standard are displayed, and risk prevention prompts are initiated for the unmet business indicators.

[0021] When the method described in the first aspect of the present application is implemented, the content described in the second aspect of the present application can be adopted to achieve it.

[0022] A second aspect of the embodiment of the present application provides an enterprise data evaluation system, including: an acquisition unit and a processing unit;

[0023] The acquisition unit is used to acquire each pre-constructed section set and the enterprise listing regulation set corresponding to each section set; wherein each section set is divided according to the section element value defined by the current listing regulations, and the enterprise listing regulation set summarizes the business indicator standard values ​​specifically required by the current listing regulations for pre-listed enterprises through different business indicators, and the section elements include the listing section and the enterprise type;

[0024] The processing unit is used to find out a target enterprise listing regulation set suitable for the current enterprise from the correspondence between the sector set and the enterprise listing regulation set based on the pre-listing sector and the enterprise type of the current enterprise;

[0025] The processing unit is also used to compare the actual value of each business indicator of the current enterprise with the corresponding standard value of each business indicator in the target enterprise listing regulations to determine the listing satisfaction result of the current enterprise, and when the listing satisfaction result is not satisfied, display the specific business indicators that the current enterprise does not meet in the target enterprise listing regulations.

[0026] A third aspect of an embodiment of the present application provides an electronic device, including: a processor and a memory;

[0027] The processor is configured to communicate with the memory and execute instructions in the memory to implement the method described in the first aspect of the embodiment of the present application or any specific implementation of the first aspect.

[0028] A fourth aspect of an embodiment of the present application provides a computer-readable storage medium, which stores computer instructions. When the computer instructions are executed by a processor, they implement the method described in the first aspect of the embodiment of the present application or any specific implementation of the first aspect.

[0029] A fifth aspect of an embodiment of the present application provides a computer program product, which includes computer instructions. When the computer instructions are executed by a processor, they implement the method described in the first aspect of the embodiment of the present application or any specific implementation of the first aspect.

[0030] It can be seen from the above technical solutions that the embodiments of the present application have at least the following advantages:

[0031] The enterprise listing regulations set of the embodiment of the present application is to classify and summarize the current listing regulations according to business indicators, and design the corresponding section set of each enterprise listing regulations set, which helps to store and automatically participate in the evaluation of large-scale current listing regulations in the form of structured data that is easy for computers to understand, reducing the cost of manual input and the time for evaluation. And such a design can promote the gradual separation of enterprise listing regulations and underlying codes, so that when the regulations need to be updated, there is no need to modify a large amount of underlying code, and the standard value of the business indicator that needs to be updated can be quickly indexed for update, that is, quickly respond to changes in enterprise listing rules. In addition, it is precisely because the enterprise listing regulations set is divided according to specific listing sections, enterprise types, etc., so it ensures that the corresponding target enterprise listing regulations set can effectively meet the actual situation of the current enterprise's pre-listing section and enterprise type, and then accurately identify the specific business indicators that the current enterprise does not meet, and efficiently avoid IPO compliance risks for enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0033] It should be noted that, although the steps in the process diagrams (if any) involved in the embodiments are drawn in sequence as indicated by the arrows, unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a portion of the steps or stages in other steps.

[0034] Figure 1 A schematic diagram of an application environment of the enterprise data evaluation method according to an embodiment of the present application;

[0035] Figure 2 A flowchart of the enterprise data evaluation method according to an embodiment of the present application;

[0036] Figure 3 A schematic diagram of a set of sections and a set of enterprise listing regulations in the enterprise data evaluation method according to an embodiment of the present application;

[0037] Figure 4 Another flowchart of the enterprise data evaluation method according to an embodiment of the present application;

[0038] Figure 5 A schematic diagram of a risk identification result of the enterprise data assessment method according to an embodiment of the present application;

[0039] Figure 6 A structural diagram of the enterprise data evaluation system of the embodiment of the present application;

[0040] Figure 7 A schematic diagram of the structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0042] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims and drawings of the present application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0043] In the following description, similar expressions such as "a specific implementation" or "a specific example" are involved, which describe a subset of all possible embodiments, but it can be understood that "a specific implementation" or "a specific example" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. In the following description, the term multiple refers to at least two. In some specific examples, the numerical value mentioned in this application reaches the threshold value (if any), which may include the case where the former is greater than the latter of the threshold value; if similar expressions such as "any" or "at least one" are mentioned, it can specifically refer to any one of the listed examples or any combination of these examples.

[0044] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0045] The method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, the terminal 102 communicates with the server 101 through the network, and the data storage system 100 can store the data that the server 101 needs to process or needs, for example, storing the various section sets of the embodiment of the present application and their corresponding corporate listing regulations. The data storage system 100 can be integrated on the server 101, or it can be placed on the cloud or other network servers. The terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers and portable wearable devices. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, etc. The server 101 can be implemented with an independent server or a server cluster consisting of multiple servers.

[0046] Terminal 102 can obtain the pre-listing section of the current enterprise and the type of enterprise to which it belongs input by the user, and send it to server 101; of course, server 101 can automatically identify the pre-listing section of the current enterprise and the type of enterprise to which it belongs based on the current enterprise identifier (such as enterprise name, etc.) input by the user. Afterwards, server 101 can find out the target enterprise listing regulations set that is suitable for the current enterprise from the correspondence between the section set and the enterprise listing regulations set based on the pre-listing section of the current enterprise and the type of enterprise to which it belongs. Server 101 can compare the actual value of each business indicator of the current enterprise with the corresponding standard value of each business indicator in the target enterprise listing regulations set to determine the listing satisfaction result of the current enterprise, and when the listing satisfaction result is not satisfied, display to terminal 102 the business indicators that the current enterprise specifically does not meet in the target enterprise listing regulations set.

[0047] It should be noted that the method provided in the embodiment of the present application can be implemented jointly by the terminal device and the server as described above, or it can be implemented entirely on the server side, or it can be implemented entirely on the terminal device side. The specific method can be determined according to the actual application scenario and is not limited here.

[0048] The method of the present application will be further described in detail below, and some specific possible implementation examples will be provided. In actual applications, the implementation contents between these examples can be combined or implemented separately as needed according to the corresponding functional principles and application logic. If implemented in combination, the execution order between the combined examples can be determined according to their respective processing logics, which may be determined by the actual scenario.

[0049] See also Figure 2 In a first aspect, the present application provides a specific embodiment of an enterprise data evaluation method, which includes the following steps:

[0050] Step S21, obtaining pre-constructed sector sets and the enterprise listing regulations sets corresponding to the sector sets;

[0051] Among them, each segment set (or strategy set or decision set) is divided according to the segment element values ​​specified by the current listing regulations. The enterprise listing regulation set (or rule set) summarizes the standard values ​​of business indicators that the current listing regulations have specific requirements for pre-listed enterprises through different business indicators. The segment elements include listing segments and enterprise types.

[0052] The sector element values ​​corresponding to the above-mentioned listed sectors may include GEM, Beijing Stock Exchange, Shenzhen Stock Exchange Main Board, rapid growth in operating income, etc.; the sector element values ​​corresponding to the enterprise types may include general enterprises, voting rights differences, red chip enterprises-not listed overseas, red chip enterprises-listed overseas, etc.

[0053] The above business indicators can be understood as structural features expressed by extracting the content of current listing regulations, which are mainly used to refer to content attributes or common parameters in current listing regulations. For example, business indicators can include at least one of net profit, business theme association, risk label, etc., and in some examples, business indicators can include sector elements. The above business theme association can specifically refer to at least one of the subject record tables in the monetary fund structure analysis table under the asset theme, the loan analysis table under the liability theme, and the R&D expense analysis table under the cost and expense theme. These subject record tables can be used as the evaluation basis or actual value source of the enterprise in the actual listing evaluation link; the above risk label can specifically refer to at least one IPO risk label (n can be a non-zero integer) in which there are related parties among the top five customers and there is a concentration of customers in the previous n years (the single customer revenue accounts for more than 50%). Not meeting any of the risk labels here can be understood as the current enterprise hitting the meaning of this risk label.

[0054] Therefore, it can be understood that the above-mentioned set of corporate listing regulations is based on business indicators in different dimensions, and structuredly summarizes a series of specific review requirements for pre-listed companies under the current listing regulations.

[0055] Step S22: based on the pre-listing sector of the current enterprise and the type of enterprise it belongs to, find out the target enterprise listing regulation set that is suitable for the current enterprise from the correspondence between the sector set and the enterprise listing regulation set;

[0056] Different sector elements can be divided according to priority. For example, one of the listed sector and enterprise type can be used as a primary classification element, and the other can be used as a secondary classification element, where the primary can take precedence over the secondary. Therefore, illustratively, the above correspondence can refer to the association between the sector element value combination and the enterprise listing regulations set under it; for example, general enterprises under the GEM can correspond to their own enterprise listing regulations set, which records a series of characteristic standard values ​​that general enterprises under the GEM must meet in order to be listed.

[0057] It can be seen that the embodiment of the present application uses the listing sector, enterprise type and other sector elements as routing labels, which are used to accurately route to (or find) the enterprise listing regulations set that can effectively meet the actual conditions of the current enterprise's pre-listing sector and enterprise type, that is, to provide a reliable index direction to ensure accurate identification of IPO compliance risks; the IPO compliance risk may specifically refer to the business indicators that the current enterprise does not meet in the target enterprise listing regulations set, for example, the monetary capital structure analysis table under the asset theme of the current enterprise is not compliant, or there are related parties among the top five customers of the current enterprise, etc.

[0058] Step S23: compare the actual value of each business indicator of the current enterprise with the corresponding standard value of each business indicator in the target enterprise listing regulations to determine the listing satisfaction result of the current enterprise, and when the listing satisfaction result is not satisfied, display the specific business indicators of the current enterprise that are not satisfied in the target enterprise listing regulations.

[0059] It should be noted that if the actual value of a business indicator does not meet the corresponding standard value of the business indicator, it can be equivalent to understanding that the current enterprise does not meet the business indicator to which the standard value of the business indicator belongs (which can be regarded as the IPO risk point faced).

[0060] It can be seen that the enterprise listing regulations set of the embodiment of the present application is to classify and summarize the current listing regulations according to business indicators, and design the corresponding section set of each enterprise listing regulations set, which helps to store and automatically participate in the evaluation of large-scale current listing regulations in the form of structured data that is easy for computers to understand, reducing the cost of manual input and the time for evaluation. And such a design can promote the gradual separation of enterprise listing regulations and underlying codes, so that when the regulations need to be updated, there is no need to modify a large amount of underlying code, and the standard value of the business indicator that needs to be updated can be quickly indexed for update, that is, quickly respond to changes in enterprise listing rules. In addition, it is precisely because the enterprise listing regulations set is divided according to specific listing sections, enterprise types, etc., so it ensures that the corresponding target enterprise listing regulations set can effectively meet the actual situation of the current enterprise's pre-listing section and enterprise type, and then accurately identify the specific business indicators that the current enterprise does not meet, and efficiently avoid IPO compliance risks for enterprises.

[0061] Some specific examples or possible implementations will be provided below. These examples or possible implementations can be implemented in combination or separately. If implemented in combination, the execution order between the combined examples can be determined according to their respective processing logic, which may depend on the actual scenario.

[0062] based on Figure 2 In some specific examples, the construction process of each section set includes: structurally decomposing the text content of the current listing regulations based on each section element, so as to decompose the keywords that conform to the part of speech of each section element and are related to the expression of each section element as the section element value; the section element value is used to integrate each section set represented in a structured form.

[0063] The above description can be understood as the structured extraction and processing of the plain text, disorganized and unstructured knowledge of corporate listing regulations, such as the "Interim Regulations on the Administration of Stock Issuance and Trading", "Notice on Matters Related to the Application of Red Chip Enterprises for Listing on the Science and Technology Innovation Board", and the Shenzhen Stock Exchange Stock Listing Rules (revised in 2023), based on IPO business indicators, to construct a set of sections in a structured representation form. These section sets can be stored as computer-based basic data for subsequent automatic evaluation of the company's listing satisfaction. This design allows large volumes of plain text corporate listing regulations to be disassembled and arranged based on business characteristics of different dimensions, so that they can be stored and conveniently calculated in clear and concise structured representation forms (such as knowledge graphs, tables, etc.). In other words, the above-mentioned structured representation of specific content such as listing sections and corporate types can be understood as organizing large volumes of plain text corporate listing regulations and other complex information into a clear, organized and easy-to-understand format, which can be simply understood as a directory format or a header format, as shown below. Figure 3 shown.

[0064] Specifically, the above-mentioned structured decomposition process may include text cleaning, word segmentation and part-of-speech tagging, and keyword extraction. Text cleaning: remove irrelevant characters (such as some punctuation marks and adjectives), format errors and redundant information in the pure text of corporate listing regulations to ensure the accuracy and consistency of the text content. Word segmentation and part-of-speech tagging: use natural language processing (NLP) technology to split the text into words or phrases, and perform part-of-speech tagging to lay the foundation for subsequent information extraction. For example, by marking nouns, it is easier to identify entity information related to IPO listing sectors, corporate types, etc. Taking the listing sector, corporate type and other sector elements as an example, after that, keywords related to the listing sector, such as the main board, GEM, Sci-Tech Innovation Board, etc., can be extracted from the above-mentioned word segmentation with marked parts of speech, as well as keywords related to corporate types, such as general enterprises, voting rights differences, red chip enterprises-unlisted overseas, red chip enterprises-listed overseas, etc.

[0065] In some examples, in addition to the listing sector and enterprise type, the sector elements can also include business attributes (such as profitability or business model), implementation standard classification (such as standard 1, standard 2, etc.), industry type (agriculture, animal husbandry, etc.) and other different dimensional elements. For example, the summary of implementation standard 1 can be "market value + R&D investment", and the specific standard content can be "the estimated market value is not less than 1.5 billion yuan, and the accounting R&D investment in the last two years is not less than 50 million yuan"; the summary of implementation standard 2 can be "market value + revenue + R&D proportion", and the specific standard content can be "the estimated market value is not less than 800 million yuan, the operating income in the last year is not less than 200 million yuan, and the total R&D investment in the last two years accounts for not less than 8% of the total operating income in the last two years". These standard contents can be written as specific regulatory contents in the enterprise listing regulations.

[0066] In actual situations, the embodiments of the present application can be applied to various information management systems, such as enterprise resource planning systems (ERP), enterprise management systems, financial systems, human resources systems, supply chain systems, etc. For example, in the ERP system, a sector set, an enterprise listing regulations set, and an automatic evaluation process for listing satisfaction can be constructed.

[0067] based on Figure 2 In some specific examples, the construction process of the enterprise listing regulations set includes: extracting the text description content for each business indicator from the current listing regulations as the standard value of the business indicator; classifying the standard value of each business indicator according to the corresponding sector element value to integrate the enterprise listing regulations set belonging to different sector sets.

[0068] After creating the above section set, you can use the rule engine designer to design different enterprise listing regulations sets based on different policy sets and different business indicators. The process of extracting the standard value of the business indicator can be similar to the process of obtaining the section element value through structured decomposition. For example, at the beginning, you can perform a one-time structured decomposition of the text content of the current listing regulations according to structural factors such as section elements and business characteristics to decompose the detailed content of the regulations that can be used as section element values ​​and as the characteristic values ​​of each business, thereby integrating various section sets and their enterprise listing regulations sets represented in a structured form (such as Figure 3 As shown in the figure, computers can automatically understand the content of regulations quickly and accurately and accurately identify IPO risks.

[0069] Specifically, the business characteristic standard values ​​belonging to the same sector element value combination can be classified together. For example, a series of business characteristic standard values ​​belonging to the GEM and for general enterprises can be uniformly classified into the "GEM, general enterprises" sector set. In some examples, the above business characteristics may include thresholds, rule conditions (which may contain logical conditions such as greater than, equal to, and or not), risk labels, risk warnings, IPO business points (such as net profit, sector, enterprise type waiting for evaluation points), and at least one feature in the business theme association. The business characteristics and their business characteristic values ​​bound to each enterprise listing regulation set may be the same or different. For example, the thresholds in some enterprise listing regulation sets may be empty.

[0070] In actual situations, regulations have an applicable period and are updated from time to time. Therefore, in order to better apply and comply with the current corporate listing regulations, the concept of time can be introduced into the corporate listing regulations to ensure the practicality of the evaluation results. Figure 2 In some specific examples, the construction process of the enterprise listing regulations set includes: dividing the business indicator standard values ​​in each enterprise listing regulations set into time dimensions according to the applicable time of the business indicator standard values, so that the target enterprise listing regulations set found is applicable to comparing the actual values ​​of the business indicators in the time dimension.

[0071] Specifically, the business indicator standard values ​​in each enterprise listing regulations can be divided into time dimensions according to the applicable time, so that through one-click filtering and other functions, the effective standard values ​​that meet the target period can be found quickly and accurately to avoid the regulatory content involved in the evaluation being outdated, resulting in incorrect test results. In comparison, the listing sector, enterprise type and other sector elements generally do not change dynamically, so they can be called ordinary fields, while the time field often has variables such as addition, deletion and modification, so the time field can be called a dynamic field.

[0072] In addition, the introduction of the time field helps to specifically access the actual data such as the reports to be evaluated of the company under test during the target period, and facilitates the system to automatically pull out the target company's listing regulations set that conforms to the target period, that is, to reliably route the actual values ​​and standard values ​​of actual and effective business indicators to participate in the evaluation.

[0073] based on Figure 2 In some specific examples, the operation process of "determining the listing satisfaction result of the current enterprise" in step S23 may include: if there are multiple listing standards in the target enterprise listing regulations set, calculate the proportion of the number of actual values ​​of business indicators that meet the corresponding business indicator standard values ​​in each set of listing standards in the total number of business indicator standard values; wherein, the business indicators and business indicator standard values ​​defined by each of the multiple listing standards are not completely the same; if the proportion corresponding to at least one set of listing standards reaches a preset proportion (such as 100%), then determine that the listing satisfaction result that the current enterprise meets is compliant. This proportion can be called satisfaction. In other words, calculating the proportion is equivalent to calculating the proportion of satisfied items of the actual values ​​of each business indicator relative to the corresponding business indicator standard values ​​in each set of listing standards.

[0074] For example, the user can enter the name of the current enterprise, the pre-listing sector and the type of enterprise to which it belongs, the target period to be evaluated (or the period to which the business subject to be evaluated belongs) and other request parameters in the interface. After that, the system can access the actual business data of the current enterprise for extraction and calculation to obtain the actual value of each business indicator. For example, through the financial statements for 2020-2022 (i.e., the business subject to be evaluated), etc., the actual values ​​of business indicators such as sales value and cost are calculated, and these actual values ​​of business indicators are loaded into the rule engine library containing the sector set and its enterprise listing regulations set.

[0075] like Figure 4 As shown, after constructing the sector set and its enterprise listing regulations set, the system can determine the business route (i.e., sector set) applicable to the current enterprise based on the accessed request parameters (or input parameters), and then find the target enterprise listing regulations set applicable under the sector set; that is, it is necessary to first determine which sector set corresponds to the current enterprise's pre-listing sector and the type of enterprise it belongs to, so as to accurately route to the target enterprise listing regulations set that is suitable for the current enterprise, that is, find the most appropriate decision rule set.

[0076] Specifically, the enterprise listing regulations set under different sector sets can have one or more listing standards. For example, under the sector element value combination of "Beijing Stock Exchange, General Enterprises", there can be multiple sets of business indicator standard values. For example, for the business indicator of estimated market value, there can be different business indicator standard values ​​such as ≥5 billion yuan, ≥8 billion yuan, etc. Of course, some business indicator standard values ​​can be empty, that is, they can be not used as hard requirements.

[0077] Generally, if a current enterprise wants to be successfully listed, it is often required to 100% comply with a set of listing standards in the current listing regulations, that is, it can be listed as long as there is no IPO risk for any set of listing standards. Therefore, the system can compare the actual value of each business indicator with the standard value of each business indicator corresponding to each set of listing standards in the target enterprise's listing regulations to automatically evaluate or decide the listing satisfaction result of the current enterprise (i.e., compliance or non-compliance with the listing standards); if the proportion of at least one set of listing standards in the target enterprise's listing regulations reaches the preset proportion, it can be determined that the listing satisfaction result that the current enterprise meets is compliant.

[0078] In contrast, if the listing satisfaction result that the current enterprise meets is non-compliance, the operation process of "displaying the business indicators that the current enterprise does not specifically meet in the target enterprise listing regulations" in step S23 may include: selecting the listing standard with the highest proportion from multiple sets of listing standards as the best applicable standard; displaying the business indicators that the current enterprise does not meet in the best applicable standard, and initiating risk prevention prompts for the unmet business indicators.

[0079] like Figure 5 As shown, the system can select the set of listing standards with the highest satisfaction (i.e., percentage) as the best applicable standard, and show the current enterprise which business indicators (which can be regarded as the IPO risk points it faces) are not met in the best applicable standard, so that users can prevent these IPO risks in a targeted manner and go public as soon as possible. Figure 5 The atomic indicators shown are the above-mentioned business indicators, and the standard values ​​are the standard values ​​of the business indicators.

[0080] Furthermore, a risk prevention reminder for unsatisfied business indicators can be initiated to the user end. The risk prevention reminder can specifically display: the number of risk tags bound or triggered by the business indicators that the current enterprise does not meet and the specific risk tag details, the data table or data trend chart corresponding to the current enterprise's actual value under this risk tag, etc., to assist the current enterprise in prevention and smooth listing as soon as possible. For example, when the risk tag includes "there are related parties among the top five customers", the data table or data trend chart (such as a bar chart or a curve chart) of the current enterprise's "total change in sales revenue of the top five customers" can be displayed.

[0081] Of course, different companies have different actual considerations for each set of listing standards. It is possible that the current company does not focus on the above-mentioned best applicable standards evaluated by the system, but instead wants to gradually approach or meet other listing standards other than the best applicable standards. Therefore, further, the embodiment of the present application can also display the business indicators that the current company does not meet in other listing standards, and initiate risk prevention prompts for the unmet business indicators, etc. The specific settings can be determined as needed and are not limited here.

[0082] In summary, after the implementation example of the present application has structured the characteristics of the enterprise listing regulations, the rule engine technology can be used to build an IPO risk identification system in the computer system, so as to accurately identify IPO compliance risks. On the other hand, the implementation example of the present application can design and open some front-end interfaces to separate the enterprise listing regulations from the application code (such as the enterprise listing regulations are not written into the underlying code), so that when the business rules such as the enterprise listing regulations need to be updated, they can be updated on the front-end interface without modifying the underlying code, thereby reducing maintenance costs and improving the flexibility of the system, ensuring that the system can quickly respond to changes in enterprise listing rules. In addition, the implementation example of the present application can automatically manage rules, and the rule engine reduces manual intervention and improves the efficiency of the system in handling IPO compliance risk business. At the same time, since the change of rules does not require a lot of programming work, the cost is reduced.

[0083] Compared to Figure 2 The examples shown illustrate that the above-mentioned additional or detailed example contents or possible implementation methods do not necessarily have to be executed during the specific implementation. If more than two examples or possible implementation methods are added, these examples or possible implementation methods can be implemented in combination or separately. If implemented in combination, the execution order between the combined examples can be determined according to their respective processing logic, which can be determined according to the actual scenario.

[0084] See also Figure 6 , the second aspect of the present application provides a specific embodiment of an enterprise data evaluation system, the system comprising: an acquisition unit 601, a processing unit 602;

[0085] The acquisition unit 601 is used to acquire each pre-constructed sector set and the enterprise listing regulation set corresponding to each sector set; wherein each sector set is divided according to the sector element value defined by the current listing regulations, and the enterprise listing regulation set summarizes the business indicator standard values ​​specifically required by the current listing regulations for the pre-listed enterprises through different business indicators, and the sector elements include the listing sector and the enterprise type;

[0086] The processing unit 602 is used to find out a target enterprise listing regulation set suitable for the current enterprise from the correspondence between the sector set and the enterprise listing regulation set based on the pre-listing sector of the current enterprise and the enterprise type to which it belongs;

[0087] Processing unit 602 is also used to compare the actual values ​​of each business indicator of the current enterprise with the corresponding standard values ​​of each business indicator in the target enterprise's listing regulations to determine the listing satisfaction result of the current enterprise, and when the listing satisfaction result is not satisfied, display the specific business indicators of the current enterprise that are not satisfied in the target enterprise's listing regulations.

[0088] In some examples, the acquisition unit 601 is specifically used to:

[0089] Based on each section element, the text content of the current listing regulations is structured and decomposed to extract keywords that conform to the parts of speech of each section element and are related to the expression of each section element as section element values; the section element values ​​are used to integrate various section sets expressed in a structured form.

[0090] In some examples, the acquisition unit 601 is specifically used to:

[0091] Extract the text description of each business indicator from the current listing regulations as the standard value of the business indicator;

[0092] The standard values ​​of various business indicators are classified according to the corresponding sector element values ​​to integrate the corporate listing regulations set belonging to different sector sets.

[0093] In some examples, the acquisition unit 601 is specifically used to:

[0094] According to the applicable time of the business indicator standard value, the business indicator standard value in each enterprise listing regulations set is divided into time dimensions, so that the target enterprise listing regulations set found is applicable to comparing the actual value of the business indicator in the time dimension.

[0095] In some examples, the processing unit 602 is specifically configured to:

[0096] If there are multiple sets of listing standards in the target enterprise's listing regulations, calculate the proportion of the number of actual business indicator values ​​that meet the corresponding business indicator standard values ​​in each set of listing standards to the total number of business indicator standard values; where the business indicators and business indicator standard values ​​specified in the multiple sets of listing standards are not completely the same;

[0097] If the proportion corresponding to at least one set of listing standards reaches the preset proportion, the current listing satisfaction result of the enterprise is determined to be compliant.

[0098] In some examples, when the listing satisfaction result is not satisfied, the processing unit 602 is specifically configured to:

[0099] From multiple sets of listing standards, select the listing standard with the highest proportion as the best applicable standard;

[0100] Displays the business indicators that the current enterprise does not meet in the best applicable standards, and initiates risk prevention prompts for the unmet business indicators.

[0101] In the embodiment of the present application, the operations performed by each unit of the enterprise data evaluation system are similar to the operations described in the first aspect or any specific method embodiment of the first aspect, and will not be described in detail here. Of course, the specific implementation process of each operation in the first aspect of the present application can also refer to the relevant description of the second aspect.

[0102] See also Figure 7 The electronic device 700 of the embodiment of the present application may include one or more processors (such as central processing units (CPU)) 701 and a memory 705, in which one or more applications or data are stored.

[0103] The memory 705 may be a volatile storage or a persistent storage. The program stored in the memory 705 may include one or more modules, each of which may include a series of instruction operations in the electronic device. Furthermore, the processor 701 may be configured to communicate with the memory 705 and execute a series of instruction operations in the memory 705 on the electronic device 700.

[0104] The electronic device 700 may also include one or more power supplies 702, one or more wired or wireless network interfaces 703, one or more input and output interfaces 704, and / or one or more operating systems, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.

[0105] The processor 701 can execute the operations performed by the aforementioned first aspect or any specific method embodiment of the first aspect, and the details will not be repeated here.

[0106] The present application provides a computer-readable storage medium, comprising instructions, which, when executed on a computer, enable the computer to execute the method described in the first aspect or any specific implementation of the first aspect.

[0107] The present application provides a computer program product comprising instructions or a computer program. When the computer program product is run on a computer, the computer is enabled to execute the method described in the first aspect or any specific implementation of the first aspect.

[0108] It is understood that in various embodiments of the present application, the sequence number of each step does not mean the order of execution, and the execution order of each step 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. The operation content added or refined in each example scheme of the above method, system or device (if any) does not necessarily have to be executed in the specific implementation. If more than two operations are added, these operations can be implemented in combination or separately, depending on the actual scenario.

[0109] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system (if any) and device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0110] In the several embodiments provided in the present application, it should be understood that the disclosed 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 device, 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.

[0111] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0112] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0113] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product (or computer program product) is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a business server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, read-only memory), random access memory (RAM, random access memory), disk or optical disk and other media that can store program code.

Claims

1. A method for evaluating enterprise data, characterized in that: include: Obtaining pre-constructed sector sets and corresponding enterprise listing regulation sets of each sector set; wherein each sector set is divided according to sector element values ​​defined by current listing regulations, and the enterprise listing regulation set summarizes the standard values ​​of business indicators specifically required by the current listing regulations for pre-listed enterprises through different business indicators, and the sector elements include listing sectors and enterprise types; Based on the pre-listing sector of the current enterprise and the type of enterprise it belongs to, searching for a target enterprise listing regulation set that is suitable for the current enterprise from the correspondence between the sector set and the enterprise listing regulation set; The actual values ​​of the business indicators of the current enterprise are compared with the corresponding standard values ​​of the business indicators in the target enterprise's listing regulations to determine the listing satisfaction result of the current enterprise, and when the listing satisfaction result is not satisfied, the specific business indicators of the current enterprise that are not satisfied in the target enterprise's listing regulations are displayed.

2. The enterprise data evaluation method according to claim 1, characterized in that: The construction process of each of the above-mentioned plate sets includes: Based on each of the section elements, the text content of the current listing regulations is structured and decomposed to extract keywords that conform to the parts of speech of each of the section elements and are related to the expression of each of the section elements as section element values; the section element values ​​are used to integrate various section sets represented in a structured form.

3. The enterprise data evaluation method according to claim 1 or 2, characterized in that: The process of constructing the enterprise listing regulations set includes: Extracting text descriptions of each of the business indicators from the current listing regulations as standard values ​​of the business indicators; The standard values ​​of the business indicators are classified according to the corresponding sector element values ​​to integrate the enterprise listing regulations set belonging to different sector sets.

4. The enterprise data evaluation method according to claim 1, characterized in that: The process of constructing the enterprise listing regulations set includes: According to the applicable time of the business indicator standard value, the business indicator standard value in each enterprise listing regulations set is divided into time dimensions, so that the target enterprise listing regulations set found is applicable to comparing the actual value of the business indicator in the time dimension.

5. The enterprise data evaluation method according to claim 1, characterized in that: The actual value of each business indicator of the current enterprise is compared with the standard value of each business indicator corresponding to the target enterprise listing regulations to determine the listing satisfaction result of the current enterprise, including: If there are multiple sets of listing standards in the target enterprise listing regulations set, calculate the proportion of the number of actual values ​​of the business indicators that meet the corresponding standard values ​​of the business indicators in each set of the listing standards to the total number of standard values ​​of the business indicators; wherein the business indicators and the standard values ​​of the business indicators specified in the multiple sets of the listing standards are not completely the same; If the proportion corresponding to at least one set of the listing standards reaches a preset proportion, it is determined that the listing satisfaction result met by the current enterprise is compliant.

6. The enterprise data evaluation method according to claim 5, characterized in that: When the listing satisfaction result is not satisfied, the specific business indicators that the current enterprise does not meet in the target enterprise listing regulations are displayed, including: From the multiple sets of listing standards, the listing standard with the highest proportion is selected as the best applicable standard; The business indicators that the current enterprise does not meet in the best applicable standard are displayed, and risk prevention prompts are initiated for the unmet business indicators.

7. An enterprise data evaluation system, characterized in that: include: Acquisition unit, processing unit; The acquisition unit is used to acquire each pre-constructed section set and the enterprise listing regulation set corresponding to each section set; wherein each section set is divided according to the section element value defined by the current listing regulations, and the enterprise listing regulation set summarizes the business indicator standard values ​​specifically required by the current listing regulations for pre-listed enterprises through different business indicators, and the section elements include the listing section and the enterprise type; The processing unit is used to find out a target enterprise listing regulation set suitable for the current enterprise from the correspondence between the sector set and the enterprise listing regulation set based on the pre-listing sector and the enterprise type of the current enterprise; The processing unit is also used to compare the actual value of each business indicator of the current enterprise with the corresponding standard value of each business indicator in the target enterprise listing regulations to determine the listing satisfaction result of the current enterprise, and when the listing satisfaction result is not satisfied, display the specific business indicators that the current enterprise does not meet in the target enterprise listing regulations.

8. An electronic device, characterized in that: include: Processor and memory; The processor is configured to communicate with the memory and execute instructions in the memory to implement the method according to any one of claims 1 to 6.

9. A readable storage medium, characterized in that: The readable storage medium stores computer instructions, and when the computer instructions are executed by a processor, the method according to any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product comprises computer instructions, and when the computer instructions are executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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