CN117592652A - Analysis method, equipment and medium for enterprise association relation - Google Patents

Analysis method, equipment and medium for enterprise association relation Download PDF

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CN117592652A
CN117592652A CN202311587322.6A CN202311587322A CN117592652A CN 117592652 A CN117592652 A CN 117592652A CN 202311587322 A CN202311587322 A CN 202311587322A CN 117592652 A CN117592652 A CN 117592652A
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analyzed
association
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business
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李永伟
李仰允
崔乐乐
徐宏伟
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Tianyuan Big Data Credit Management Co Ltd
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Abstract

The application discloses an analysis method, equipment and medium for enterprise association relationship, which are used for solving the technical problems that the prior art only analyzes the enterprise association relationship manually, is easily influenced by subjective judgment of analysis personnel, and has lower analysis efficiency and accuracy of the association relationship. The method comprises the following steps: based on the initiation trigger of the business demand analysis request, determining the business to be analyzed and the name of the business to be analyzed corresponding to the business demand analysis, and crawling the business registration information corresponding to the business to be analyzed according to the name of the business; determining an analysis subsystem corresponding to an enterprise to be analyzed based on business demand analysis; and the association relationship of the enterprises to be analyzed can be more comprehensively revealed through comprehensive analysis of a plurality of analysis subsystems, the recognition precision is improved, and the potential association and influence among the enterprises can be found.

Description

Analysis method, equipment and medium for enterprise association relation
Technical Field
The present invention relates to the field of association technologies, and in particular, to a method, an apparatus, and a medium for analyzing an association of an enterprise.
Background
In this big data age today, enterprise association rule mining technology has become an important ring in the field of data mining. In enterprise association rule mining techniques, common background techniques include data mining, machine learning, network analysis, association analysis, and the like. The data mining technology is used for finding patterns and knowledge from large-scale data, and can realize automatic learning and prediction of enterprise association rules in combination with the machine learning technology. Network analysis may help understand complex relationships between enterprises, including social networks, equity networks, etc., thereby mining in depth dependencies and influences between enterprises.
The association analysis is a technology for finding the correlation among variables in the dataset, and through analysis of a large amount of data, the association mode and structure hidden among enterprises can be found, so that decision support and optimization schemes are provided for the enterprises. The enterprise association rules mainly focus on various forms of association between enterprises, such as equity relationships, legal relationships, transaction data, etc. These associations may reflect dependencies between one enterprise and other enterprises, providing clues for predicting the behavior of the enterprise. For example, if two enterprises have a certain correlation in equity relationships or transaction data, the behavior of one enterprise may be affected by the other enterprise or may be predicted by the behavior of the other enterprise.
Disclosure of Invention
The embodiment of the application provides an analysis method, equipment and medium for an enterprise association relationship, which are used for solving the technical problems that the prior art only manually analyzes the enterprise association relationship, is easily influenced by subjective judgment of an analysis person, and has lower analysis efficiency and accuracy of the association relationship.
In one aspect, an embodiment of the present application provides a method for analyzing an association relationship of an enterprise, including:
based on the initiation trigger of the business demand analysis request, determining a business to be analyzed and a business name corresponding to the business demand analysis, and crawling business registration information corresponding to the business to be analyzed according to the business name;
determining an analysis subsystem corresponding to the enterprise to be analyzed based on the business demand analysis; the analysis subsystem comprises at least: the system comprises a stock right association analysis module, a natural person association analysis module, a mutual gold platform association analysis module, an enterprise communication association analysis module, a borrowing/guarantee enterprise analysis module, an actual control person analysis module, an enterprise branch office analysis module and an enterprise association abnormality analysis module;
carrying out corresponding analysis on the enterprise to be analyzed through the corresponding analysis subsystem according to the business registration information so as to obtain the association relation of the enterprise to be analyzed; the association relation at least comprises the following steps: stakeholder investment relationships, natural person-enterprise relationships, platform-enterprise relationships, enterprise communication relationships, borrowing/vouching enterprise relationships, enterprise actual control person relationships, enterprise branch relationship, and enterprise association anomaly relationships.
In an implementation manner of the present application, the performing, by using the corresponding analysis subsystem and according to the business registration information, the corresponding analysis on the enterprise to be analyzed to obtain the association relationship of the enterprise to be analyzed specifically includes:
determining stockholder information and investment information in an enterprise to be analyzed through an analysis subsystem corresponding to the share right association analysis module based on the business registration information after data cleaning so as to construct a stockholder investment relationship corresponding to the enterprise to be analyzed;
analyzing the associated natural persons of the enterprises to be analyzed in the business registration information after the data are cleaned through an analysis subsystem corresponding to the natural person association analysis module, and determining at least one associated enterprise corresponding to each associated natural person; the associated natural person comprises at least: legal persons, directors, supervision and high management;
and determining the association relationship between the association enterprise and the enterprise to be analyzed according to the association enterprise corresponding to the association natural person and the stockholder investment relationship corresponding to the enterprise to be analyzed.
In an implementation manner of the present application, the performing, by using the corresponding analysis subsystem and according to the business registration information, the corresponding analysis on the enterprise to be analyzed to obtain the association relationship of the enterprise to be analyzed specifically includes:
carrying out association analysis on affiliated enterprises of the internet financial platform and associated gold-interaction platforms through analysis subsystems corresponding to the gold-interaction platform association analysis modules, and determining the internet financial platform and gold-interaction enterprises corresponding to the enterprises to be analyzed;
analyzing an inter-gold enterprise corresponding to the enterprise to be analyzed through an analysis subsystem corresponding to the borrowing/guarantee enterprise analysis module, determining project information in the inter-gold enterprise, and constructing a borrowing/guarantee enterprise relationship between the enterprise to be analyzed and the inter-gold enterprise according to the project information;
checking the enterprise to be analyzed through an analysis subsystem corresponding to the enterprise association abnormality analysis module to determine whether the enterprise to be analyzed has abnormal association conditions, and constructing an enterprise association abnormality relationship corresponding to the enterprise to be analyzed under the condition that the checking fails;
the abnormal association condition is used for indicating that the legal change times, the company opening quantity and the external investment quantity of the enterprise to be analyzed in a preset time interval are larger than a preset threshold value.
In an implementation manner of the present application, the performing, by using the corresponding analysis subsystem and according to the business registration information, the corresponding analysis on the enterprise to be analyzed to obtain the association relationship of the enterprise to be analyzed specifically includes:
determining enterprise contact ways in the business registration information after data cleaning through an analysis subsystem corresponding to the enterprise communication association analysis module, and constructing enterprise communication relations among enterprises according to the enterprises to be analyzed and the enterprise contact ways corresponding to the associated enterprises;
determining an actual controller corresponding to the enterprise to be analyzed through an analysis subsystem corresponding to the actual controller analysis module and based on the business registration information after data cleaning so as to construct a corresponding enterprise actual controller relationship;
and determining branches of the enterprise to be analyzed in the business registration information after data cleaning through an analysis subsystem corresponding to the enterprise branch analysis module, and determining the number of branches, the regional distribution information of each branch and the registration time distribution information corresponding to the enterprise to be analyzed.
In one implementation manner of the present application, the determining, based on the initiation trigger of the service requirement analysis request, the enterprise to be analyzed and the enterprise name corresponding to the service requirement analysis specifically includes:
based on the initiation trigger of the business demand analysis request, receiving the business demand analysis request, and analyzing the business demand analysis request in a preset mode to determine an enterprise to be analyzed corresponding to business demand analysis;
determining a queriable data source corresponding to the enterprise to be analyzed, and acquiring an enterprise name corresponding to the enterprise to be analyzed from the queriable data source; the queriable data source includes at least: enterprise databases, public data sources.
In an implementation manner of the present application, crawling, according to the name of the enterprise, business registration information corresponding to the enterprise to be analyzed specifically includes:
crawling the business registration information corresponding to the enterprise to be analyzed in at least one information display platform according to the enterprise name of the enterprise to be analyzed by using a crawler technology;
wherein, the business registration information at least comprises: corporate stakeholders, natural stakeholders, external investment enterprises, mutual-gold platforms, borrowing/vouching enterprises, communication addresses, corporate, high-rise, branch/head office.
In one implementation manner of the present application, after crawling the business registration information corresponding to the enterprise to be analyzed according to the enterprise name, the method further includes:
determining whether the non-conventional data exists in the business registration information, and preprocessing the non-conventional data to obtain the business registration information after data cleaning;
wherein the non-conventional data includes at least: missing data, repeated data, error data and format inconsistent data, wherein the preprocessing at least comprises the following steps: numerical value filling processing, redundancy removing processing, data checking processing and data format unifying processing.
In an implementation manner of the present application, after the corresponding analyzing subsystem performs corresponding analysis on the enterprise to be analyzed according to the business registration information to obtain the association relationship of the enterprise to be analyzed, the method further includes:
constructing an association relation map corresponding to the enterprise to be analyzed based on the obtained stockholder investment relation, natural person enterprise relation, platform enterprise relation, enterprise communication relation, borrowing/guarantee enterprise relation, enterprise actual control person relation, enterprise branch office relation and enterprise association abnormal relation of the enterprise to be analyzed;
based on a visualization technology and through a preset display form, the association relation map is visually displayed, so that an enterprise or a user can check the association relation map.
On the other hand, the embodiment of the application also provides an analysis device for the association relationship of enterprises, which comprises:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method of analyzing an enterprise association as described above.
On the other hand, the embodiment of the application also provides a non-volatile computer storage medium, which stores computer executable instructions, wherein the computer realizes the analysis method of the enterprise association relationship when executing the executable instructions.
The embodiment of the application provides an analysis method, equipment and medium for enterprise association relation, which at least comprise the following beneficial effects:
through comprehensive analysis of a plurality of analysis subsystems, the association relation of enterprises to be analyzed can be more comprehensively revealed, the recognition precision is improved, and potential association and influence among enterprises can be found; through displaying the analysis result in a graphical mode, the association relation of enterprises is more visual and understandable, and a user can conveniently and quickly know the association situation among the enterprises; by automatically analyzing the enterprise business registration information and other related data, the analysis of the enterprise association relationship can be rapidly completed, the analysis period is shortened, and the analysis efficiency is improved; the method can be conveniently expanded to other fields and data sources, such as industry analysis, market research and the like, and has wide application prospect; through joint analysis of a plurality of analysis subsystems, deeper and wider data analysis can be realized, and more comprehensive data support is provided for decision making of enterprises; the method can effectively analyze the association relationship of the enterprise, provide powerful support for business decision making, cover the association relationship of a plurality of aspects by the analysis result, help the enterprise to comprehensively know various relations in the ecological system, and further better make strategy and plan future development.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
fig. 1 is a flow chart of an analysis method for an enterprise association relationship according to an embodiment of the present application;
fig. 2 is an internal structure schematic diagram of an enterprise association relationship analysis device provided in an embodiment of the present application.
Detailed Description
For the purposes, technical solutions and advantages of the present application, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The embodiment of the application provides an analysis method, equipment and medium for enterprise association relations, which can more comprehensively reveal the association relations of enterprises to be analyzed through comprehensive analysis of a plurality of analysis subsystems, improve the identification precision and help to find potential association and influence among the enterprises; through displaying the analysis result in a graphical mode, the association relation of enterprises is more visual and understandable, and a user can conveniently and quickly know the association situation among the enterprises; by automatically analyzing the enterprise business registration information and other related data, the analysis of the enterprise association relationship can be rapidly completed, the analysis period is shortened, and the analysis efficiency is improved; the method can be conveniently expanded to other fields and data sources, such as industry analysis, market research and the like, and has wide application prospect; through joint analysis of a plurality of analysis subsystems, deeper and wider data analysis can be realized, and more comprehensive data support is provided for decision making of enterprises; the method can effectively analyze the association relationship of the enterprise, provide powerful support for business decision making, cover the association relationship of a plurality of aspects by the analysis result, help the enterprise to comprehensively know various relations in the ecological system, and further better make strategy and plan future development. The method solves the technical problems that the prior art only manually analyzes the association relation of enterprises, is easily influenced by subjective judgment of analysts, and has lower analysis efficiency and accuracy of the association relation.
The following describes in detail the technical solutions provided by the embodiments of the present application with reference to the accompanying drawings.
Fig. 1 is a flow chart of an analysis method for an enterprise association relationship according to an embodiment of the present application.
The implementation of the analysis method according to the embodiment of the present application may be a terminal device or a server, which is not particularly limited in this application. For ease of understanding and description, the following embodiments are described in detail with reference to a server.
It should be noted that the server may be a single device, or may be a system formed by a plurality of devices, that is, a distributed server, which is not specifically limited in this application.
As shown in fig. 1, an analysis method for an enterprise association relationship provided in an embodiment of the present application includes:
101. based on the initiation trigger of the business demand analysis request, determining the business to be analyzed and the name of the business to be analyzed corresponding to the business demand analysis, and crawling the business registration information corresponding to the business to be analyzed according to the name of the business.
In order to analyze the association of enterprises effectively, we need to disassemble and quantify various complex clues, and turn them into useful indexes for analysis. The common indexes of the association rule mainly comprise support degree, confidence degree and promotion degree.
Support refers to the probability that a particular item appears in the dataset at the same time. For example, in 1000 transactions of products, where the number of simultaneous occurrences of product A and product B is 50, the association is supported at 5% which means that the association occurs relatively less frequently in the dataset. Confidence refers to the probability that B occurs when a has occurred in the dataset. For example, the confidence may be a proportion of how many of the people who purchased the A merchandise purchased the B merchandise. In the graph, confidence can be understood as the proportion of intersections in A. The lifting degree is used for measuring the lifting effect of the first purchased commodity A on the purchased commodity B. It can help us judge whether the commodity combination mode has practical value. This combination is effective if the number of purchases of the combination is higher than the number of purchases of the individual items; otherwise, it is not effective. When calculated, a degree of improvement greater than 1 indicates that the combined item is purchased more than the item alone, and less than 1 indicates that the item alone is purchased less than the item alone. Through analysis of the indexes, the association relation between enterprises can be better understood and utilized, and powerful support is provided for enterprise decision-making.
Specifically, in one embodiment of the application, the server can ensure the accuracy of data, reduce human intervention and errors and improve the reliability of analysis by acquiring information such as enterprise names from preset queriable data sources. It should be noted that, the queriable data sources in the embodiments of the present application include an enterprise database, a public data source, etc., which can cover different types of data sources, increase the comprehensiveness and diversity of data, and help to more comprehensively understand the association relationship of the enterprise to be analyzed.
The server analyzes the business demand analysis request in a preset mode, can rapidly locate an enterprise to be analyzed, reduces manual operation and intervention, improves data processing efficiency and analysis speed, realizes automatic processing in the whole process, reduces manual participation and intervention, improves the automation degree and the intelligent level of a system, reduces the possibility of human errors and missed reports, and ensures that information such as enterprise names and the like acquired through inquireable data sources is authenticated through authoritative channels, thereby ensuring the reliability of data, being beneficial to ensuring the comprehensive understanding of the enterprise to be analyzed and providing a reliable basis for the subsequent analysis of the association relationship of the enterprise.
In one embodiment, the server can climb the business registration information of the enterprise to be analyzed in a plurality of information display platforms through a crawler technology, so that the data acquisition range is enlarged, the diversity and the comprehensiveness of the data are improved, and more complete business registration information can be acquired through crawling the data of the plurality of information display platforms, wherein the information comprises information of corporate stakeholders, natural corporate stakeholders, external investment enterprises, mutual gold platforms, borrowing/guaranteeing enterprises, communication addresses, corporate persons, high-level companies, branch companies/main companies and the like, and the integrity of the data is improved.
The information display platform is high in authority and accuracy, the business registration information acquired through the crawler technology is consistent with the information issued by the platform official, the accuracy of data can be guaranteed, human intervention and errors are reduced, the business registration information is automatically crawled through the crawler technology, manual operation and intervention can be reduced, and the data processing efficiency and analysis speed are improved. The whole process realizes automatic processing, reduces manual participation and intervention, improves the automation degree and the intelligent level of the system, and reduces the possibility of human errors and missing report. In addition, the business registration information obtained by the server through the crawler technology is authoritative authenticated by the information presentation platform, so that the reliability of data can be ensured, and a reliable basis is provided for the subsequent analysis of the association relationship of enterprises.
In one embodiment of the application, after crawling business registration information corresponding to an enterprise to be analyzed according to an enterprise name, the server can improve the quality and the integrity of data by preprocessing unconventional data in the business registration information, such as missing data filling, redundant data removing, error data checking and the like, provides a more accurate and reliable basis for subsequent data analysis, and can reduce the time and effort required to process abnormal data in the data analysis process by preprocessing unconventional data, thereby improving the efficiency and the accuracy of data processing.
The existence of the unconventional data can negatively influence the accuracy of data analysis, the influence on the data analysis result can be reduced by preprocessing the data, the reliability of analysis is improved, and the server can enhance the robustness and stability of the system by preprocessing the unconventional data, so that the server can better cope with abnormal data conditions of different types, the reliability and stability of the system are improved, the reliability and accuracy of data analysis can be improved, and more reliable data support is provided for decision making of enterprises.
102. And determining an analysis subsystem corresponding to the enterprise to be analyzed based on the business demand analysis.
It should be noted that, the analysis subsystem in the embodiment of the present application at least includes: the system comprises a stock right association analysis module, a natural person association analysis module, a mutual gold platform association analysis module, an enterprise communication association analysis module, a borrowing/guarantee enterprise analysis module, an actual control person analysis module, an enterprise branch office analysis module and an enterprise association abnormality analysis module;
the server analyzes the business registration information corresponding to the enterprise to be analyzed through a plurality of analysis subsystems, can find out the illegal behaviors (such as self-fusion, self-protection and associated transactions) or associated risks (such as associated problem enterprises or natural persons) of the enterprise, comprehensively improves the financial security monitoring analysis, early warning notification and emergency cooperative supporting capability, provides decision basis for government authorities, gradually provides technical support for industry supervision, provides financial security authority resource sharing and propaganda education platform for citizens, and is constructed as an important infrastructure in the financial supervision supporting field.
103. And carrying out corresponding analysis on the enterprise to be analyzed through the corresponding analysis subsystem according to the business registration information so as to obtain the association relation of the enterprise to be analyzed.
It should be noted that, the association relationship in the embodiment of the present application at least includes: stakeholder investment relationships, natural person-enterprise relationships, platform-enterprise relationships, enterprise communication relationships, borrowing/vouching enterprise relationships, enterprise actual control person relationships, enterprise branch relationship, and enterprise association anomaly relationships.
Specifically, in one embodiment of the application, the server can more comprehensively reveal the association relation between the enterprise to be analyzed and other enterprises through comprehensive analysis of the equity association analysis module and the natural person association analysis module, so that the recognition precision is improved, and potential association and influence among the enterprises can be found; through displaying the analysis result in a graphical mode, the association relation of enterprises is more visual and understandable, and a user can conveniently and quickly know the association situation among the enterprises; by automatically analyzing the business registration information and other related data, the analysis of the association relation of enterprises can be completed quickly, the analysis period is shortened, and the analysis efficiency is improved.
In addition, the method can be conveniently expanded to other fields and data sources, such as industry analysis, market research and the like, has wide application prospect, can realize deeper and wider data analysis through joint analysis of a plurality of analysis subsystems, and provides more comprehensive data support for decision making of enterprises. In the enterprise association analysis, through the organic combination of the equity association analysis and the natural person association analysis and the combination of the business registration information after data cleaning, a more comprehensive equity investment relationship and a natural person association relationship can be built, the equity investment relationship and the natural person association relationship of the enterprise to be analyzed are deeply excavated, powerful support is provided for comprehensively grasping the enterprise association relationship, the enterprise is helped to better understand the position of the enterprise in a ecological system, and strategy and decision are made more intelligently.
In one embodiment, to reduce system complexity and focus on strong associations, the system implements mining of any hierarchical relationships for relative or absolute equity relationships of the corporate stakeholders, 3-tier inner-tier sub-construction centered on the corporation for general equity relationships, 2-tier inner-tier construction for branch companies, and one-tier relationships for borrowing/vouching enterprises.
In one embodiment of the application, the server can more comprehensively analyze the association relation between the enterprise to be analyzed and other gold platforms and gold enterprises through the gold platform association analysis module and the borrowing/guaranteeing enterprise analysis module, and provide a deeper association analysis view angle; through comprehensive analysis of a plurality of analysis subsystems, various association relations between enterprises to be analyzed and other enterprises can be revealed, including stockholder investment relations, natural person enterprise relations, platform enterprise relations, borrowing/guarantee enterprise relations, enterprise branch office relations and the like, and the integrity of the association relations is improved; and through the enterprise association anomaly analysis module, abnormal association conditions such as legal change times, company set-up quantity, external investment quantity and the like of an enterprise to be analyzed in a preset time interval can be detected, and abnormal behaviors and potential risks of the enterprise can be found.
In addition, the method can rapidly acquire and analyze the business registration information and other related data through an automatic analysis method, improve the real-time performance and response speed of data analysis, generate a comprehensive enterprise association analysis report through comprehensively analyzing the data of all modules, provide a complete association relation view and abnormal association condition reminding for an enterprise to be analyzed, comprehensively know the information of the enterprise to be analyzed in the aspects of an inter-gold platform, a borrowing/guaranteeing enterprise and abnormal association conditions, and be beneficial to the enterprise to better manage the relationship with the inter-gold platform, monitor the situation of the borrowing/guaranteeing enterprise, discover and cope with the potential abnormal association conditions in time, and provide reliable support for enterprise decision.
In one embodiment of the application, the server can acquire the communication relation between the enterprise to be analyzed and other enterprises through the enterprise communication association analysis module, wherein the communication relation comprises information such as contact information, communication addresses and the like, and provides a more comprehensive and deep communication relation analysis result; the actual control person analysis module can determine the actual control person of the enterprise to be analyzed based on the business registration information, so that the accuracy and the credibility of the relationship of the actual control person are improved, and the method is beneficial to better knowing the share right structure and the actual control person condition of the enterprise; and through the enterprise branch office analysis module, the number of branch offices, the regional distribution information and the registration time distribution information of each branch office and the like of an enterprise to be analyzed can be determined, more detailed and useful branch office information is provided, and the expansion condition and the regional distribution condition of the branch offices of the enterprise can be better known.
According to the method and the system, various incidence relations between the enterprise to be analyzed and other enterprises can be revealed through comprehensive analysis of the analysis subsystems, including stockholder investment relations, natural person enterprise relations, platform enterprise relations, borrowing/guarantee enterprise relations, enterprise branch relations and the like, the comprehensiveness and diversity of the incidence relations are improved, further, information of the enterprise to be analyzed in the aspects of communication relations, actual control persons and branch relations can be comprehensively known through comprehensive analysis of data of all modules, the enterprise to be analyzed can better manage communication with the associated enterprise, grasp actual control situations, know branch distribution situations of the enterprise in different areas, and provide beneficial support for strategic decisions.
In one embodiment of the application, after the server performs corresponding analysis on the enterprise to be analyzed through the corresponding analysis subsystem and according to the business registration information to obtain the association relationship of the enterprise to be analyzed, the server can present the complex association relationship to the enterprise or the user in a more visual mode by constructing the association relationship map and visually displaying the association relationship, so that the enterprise or the user can better understand and manage the association relationship of the enterprise. The enterprise decision maker can quickly know the whole association structure and key association party of the enterprise by looking up the association relation map, so that decision making and judgment can be faster. The server displays the association relationship in a graphical mode, so that a user or an enterprise decision maker can more easily find the association and influence relationship among enterprises, and the understandability and usability of the data are improved.
In addition, the server can clearly know the complex association network of the enterprise to be analyzed through the establishment and visual display of the association relation graph, so that potential risks and opportunities can be found, and visual references are provided for decision making. And moreover, the visual display enables the data to be more understandable, and improves insight and decision-making effect on the relationship. The method can be applied to different fields and industries, such as finance, law, business and the like, and provides cross-field association analysis and visualization services.
The foregoing is a method embodiment presented herein. Based on the same inventive concept, the embodiment of the application also provides analysis equipment of the enterprise association relationship, and the structure of the analysis equipment is shown in fig. 2.
Fig. 2 is an internal structure schematic diagram of an enterprise association relationship analysis device provided in an embodiment of the present application. As shown in fig. 2, the apparatus includes:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to:
based on the initiation trigger of the business demand analysis request, determining the business to be analyzed and the name of the business to be analyzed corresponding to the business demand analysis, and crawling the business registration information corresponding to the business to be analyzed according to the name of the business;
determining an analysis subsystem corresponding to an enterprise to be analyzed based on business demand analysis; the analysis subsystem comprises at least: the system comprises a stock right association analysis module, a natural person association analysis module, a mutual gold platform association analysis module, an enterprise communication association analysis module, a borrowing/guarantee enterprise analysis module, an actual control person analysis module, an enterprise branch office analysis module and an enterprise association abnormality analysis module;
corresponding analysis is carried out on the enterprises to be analyzed through the corresponding analysis subsystems according to the business registration information so as to obtain the association relation of the enterprises to be analyzed; the association relationship at least comprises: stakeholder investment relationships, natural person-enterprise relationships, platform-enterprise relationships, enterprise communication relationships, borrowing/vouching enterprise relationships, enterprise actual control person relationships, enterprise branch relationship, and enterprise association anomaly relationships.
The embodiments of the present application also provide a non-volatile computer storage medium, storing computer executable instructions, where the computer is capable of, when executing the executable instructions:
based on the initiation trigger of the business demand analysis request, determining the business to be analyzed and the name of the business to be analyzed corresponding to the business demand analysis, and crawling the business registration information corresponding to the business to be analyzed according to the name of the business;
determining an analysis subsystem corresponding to an enterprise to be analyzed based on business demand analysis; the analysis subsystem comprises at least: the system comprises a stock right association analysis module, a natural person association analysis module, a mutual gold platform association analysis module, an enterprise communication association analysis module, a borrowing/guarantee enterprise analysis module, an actual control person analysis module, an enterprise branch office analysis module and an enterprise association abnormality analysis module;
corresponding analysis is carried out on the enterprises to be analyzed through the corresponding analysis subsystems according to the business registration information so as to obtain the association relation of the enterprises to be analyzed; the association relationship at least comprises: stakeholder investment relationships, natural person-enterprise relationships, platform-enterprise relationships, enterprise communication relationships, borrowing/vouching enterprise relationships, enterprise actual control person relationships, enterprise branch relationship, and enterprise association anomaly relationships.
All embodiments in the application are described in a progressive manner, and identical and similar parts of all embodiments are mutually referred, so that each embodiment mainly describes differences from other embodiments. In particular, for the apparatus and medium embodiments, the description is relatively simple, as it is substantially similar to the method embodiments, with reference to the section of the method embodiments being relevant.
The foregoing describes specific embodiments of the present application. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The devices and media provided in the embodiments of the present application are in one-to-one correspondence with the methods, so that the devices and media also have similar beneficial technical effects as the corresponding methods, and since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media are not described in detail herein.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.

Claims (10)

1. An analysis method for an enterprise association relationship, the method comprising:
based on the initiation trigger of the business demand analysis request, determining a business to be analyzed and a business name corresponding to the business demand analysis, and crawling business registration information corresponding to the business to be analyzed according to the business name;
determining an analysis subsystem corresponding to the enterprise to be analyzed based on the business demand analysis; the analysis subsystem comprises at least: the system comprises a stock right association analysis module, a natural person association analysis module, a mutual gold platform association analysis module, an enterprise communication association analysis module, a borrowing/guarantee enterprise analysis module, an actual control person analysis module, an enterprise branch office analysis module and an enterprise association abnormality analysis module;
carrying out corresponding analysis on the enterprise to be analyzed through the corresponding analysis subsystem according to the business registration information so as to obtain the association relation of the enterprise to be analyzed; the association relation at least comprises the following steps: stakeholder investment relationships, natural person-enterprise relationships, platform-enterprise relationships, enterprise communication relationships, borrowing/vouching enterprise relationships, enterprise actual control person relationships, enterprise branch relationship, and enterprise association anomaly relationships.
2. The method for analyzing an association relationship of an enterprise according to claim 1, wherein the analyzing, by the corresponding analyzing subsystem, the enterprise to be analyzed is correspondingly analyzed according to the business registration information, so as to obtain the association relationship of the enterprise to be analyzed, specifically includes:
determining stockholder information and investment information in an enterprise to be analyzed through an analysis subsystem corresponding to the share right association analysis module based on the business registration information after data cleaning so as to construct a stockholder investment relationship corresponding to the enterprise to be analyzed;
analyzing the associated natural persons of the enterprises to be analyzed in the business registration information after the data are cleaned through an analysis subsystem corresponding to the natural person association analysis module, and determining at least one associated enterprise corresponding to each associated natural person; the associated natural person comprises at least: legal persons, directors, supervision and high management;
and determining the association relationship between the association enterprise and the enterprise to be analyzed according to the association enterprise corresponding to the association natural person and the stockholder investment relationship corresponding to the enterprise to be analyzed.
3. The method for analyzing an association relationship of an enterprise according to claim 1, wherein the analyzing, by the corresponding analyzing subsystem, the enterprise to be analyzed is correspondingly analyzed according to the business registration information, so as to obtain the association relationship of the enterprise to be analyzed, specifically includes:
carrying out association analysis on affiliated enterprises of the internet financial platform and associated gold-interaction platforms through analysis subsystems corresponding to the gold-interaction platform association analysis modules, and determining the internet financial platform and gold-interaction enterprises corresponding to the enterprises to be analyzed;
analyzing an inter-gold enterprise corresponding to the enterprise to be analyzed through an analysis subsystem corresponding to the borrowing/guarantee enterprise analysis module, determining project information in the inter-gold enterprise, and constructing a borrowing/guarantee enterprise relationship between the enterprise to be analyzed and the inter-gold enterprise according to the project information;
checking the enterprise to be analyzed through an analysis subsystem corresponding to the enterprise association abnormality analysis module to determine whether the enterprise to be analyzed has abnormal association conditions, and constructing an enterprise association abnormality relationship corresponding to the enterprise to be analyzed under the condition that the checking fails;
the abnormal association condition is used for indicating that the legal change times, the company opening quantity and the external investment quantity of the enterprise to be analyzed in a preset time interval are larger than a preset threshold value.
4. The method for analyzing an association relationship of an enterprise according to claim 1, wherein the analyzing, by the corresponding analyzing subsystem, the enterprise to be analyzed is correspondingly analyzed according to the business registration information, so as to obtain the association relationship of the enterprise to be analyzed, specifically includes:
determining enterprise contact ways in the business registration information after data cleaning through an analysis subsystem corresponding to the enterprise communication association analysis module, and constructing enterprise communication relations among enterprises according to the enterprises to be analyzed and the enterprise contact ways corresponding to the associated enterprises;
determining an actual controller corresponding to the enterprise to be analyzed through an analysis subsystem corresponding to the actual controller analysis module and based on the business registration information after data cleaning so as to construct a corresponding enterprise actual controller relationship;
and determining branches of the enterprise to be analyzed in the business registration information after data cleaning through an analysis subsystem corresponding to the enterprise branch analysis module, and determining the number of branches, the regional distribution information of each branch and the registration time distribution information corresponding to the enterprise to be analyzed.
5. The method for analyzing an association relationship of enterprises according to claim 1, wherein the determining the enterprise to be analyzed and the name of the enterprise corresponding to the business demand analysis based on the initiation trigger of the business demand analysis request specifically comprises:
based on the initiation trigger of the business demand analysis request, receiving the business demand analysis request, and analyzing the business demand analysis request in a preset mode to determine an enterprise to be analyzed corresponding to business demand analysis;
determining a queriable data source corresponding to the enterprise to be analyzed, and acquiring an enterprise name corresponding to the enterprise to be analyzed from the queriable data source; the queriable data source includes at least: enterprise databases, public data sources.
6. The method for analyzing an association relationship of enterprises according to claim 1, wherein crawling the business registration information corresponding to the enterprise to be analyzed according to the enterprise name specifically comprises:
crawling the business registration information corresponding to the enterprise to be analyzed in at least one information display platform according to the enterprise name of the enterprise to be analyzed by using a crawler technology;
wherein, the business registration information at least comprises: corporate stakeholders, natural stakeholders, external investment enterprises, mutual-gold platforms, borrowing/vouching enterprises, communication addresses, corporate, high-rise, branch/head office.
7. The method for analyzing an association relationship of enterprises according to claim 6, wherein after crawling the business registration information corresponding to the enterprise to be analyzed according to the enterprise name, the method further comprises:
determining whether the non-conventional data exists in the business registration information, and preprocessing the non-conventional data to obtain the business registration information after data cleaning;
wherein the non-conventional data includes at least: missing data, repeated data, error data and format inconsistent data, wherein the preprocessing at least comprises the following steps: numerical value filling processing, redundancy removing processing, data checking processing and data format unifying processing.
8. The method for analyzing an association relationship of an enterprise according to claim 1, wherein after the analyzing the association relationship of the enterprise to be analyzed by the corresponding analyzing subsystem and according to the business registration information, the method further comprises:
constructing an association relation map corresponding to the enterprise to be analyzed based on the obtained stockholder investment relation, natural person enterprise relation, platform enterprise relation, enterprise communication relation, borrowing/guarantee enterprise relation, enterprise actual control person relation, enterprise branch office relation and enterprise association abnormal relation of the enterprise to be analyzed;
based on a visualization technology and through a preset display form, the association relation map is visually displayed, so that an enterprise or a user can check the association relation map.
9. An apparatus for analyzing an association of an enterprise, the apparatus comprising:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method of analyzing an enterprise association as claimed in any one of claims 1 to 8.
10. A non-transitory computer storage medium storing computer executable instructions which when executed implement a method of analyzing an enterprise association relationship as claimed in any one of claims 1 to 8.
CN202311587322.6A 2023-11-24 2023-11-24 Analysis method, equipment and medium for enterprise association relation Pending CN117592652A (en)

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CN202311587322.6A CN117592652A (en) 2023-11-24 2023-11-24 Analysis method, equipment and medium for enterprise association relation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311587322.6A CN117592652A (en) 2023-11-24 2023-11-24 Analysis method, equipment and medium for enterprise association relation

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Country Link
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