Manipulator enterprise handling screening system and method, equipment and medium

Abstract

The invention relates to the field of automatic analysis of enterprise data, and provides a screening system, method and equipment for businesses and enterprises, and a medium. In the scheme of the invention, a database is constructed, and data required by screening of the businesses and enterprises is stored in the database; and establishing an association relationship among the internal data, the external data and the employee employee handling system rule base of the target enterprise in the database by using a data analysis method so as to obtain an audit analysis model of the target enterprise, and obtaining an employee employee handling screening result of the target enterprise according to the audit analysis model. According to the method, the data required by screening of the business officers and the enterprises is stored in the database, the audit analysis model is constructed for analysis, the screening period is shortened through a unified automatic analysis mode, the screening accuracy is improved, and the requirements of the enterprises for efficient and accurate risk identification and compliance management can be met.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of enterprise data automatic analysis, in particular to a business operation screening system and method, equipment and medium. BACKGROUND

[0002] In enterprise management, the business operation behavior of employees may cause interest conflicts or compliance risks, and the traditional screening method relies on manual input of telephone numbers one by one through an enterprise information query platform and records the matched company information, which is inefficient and prone to errors; at the same time, relevant data are scattered in multiple systems such as supplier library, contract system and financial system, lacking unified automatic analysis tools, resulting in long screening period, insufficient accuracy, and difficulty in meeting the needs of enterprises for efficient and accurate risk identification and compliance management.

[0003] Therefore, there is an urgent need for a business operation screening scheme that can be automated to improve the efficiency of employee business operation screening in enterprises. SUMMARY

[0004] The present application provides a business operation screening system and method, equipment and medium to solve the problem that the existing screening method relies on manual work, resulting in low screening efficiency, and relevant data are scattered in multiple systems, lacking unified automatic analysis tools, resulting in long screening period, insufficient accuracy, and difficulty in meeting the needs of enterprises for efficient and accurate risk identification and compliance management.

[0005] The first aspect of the present application provides a business operation screening system, the business operation screening system of the present application comprises: A data collection robot is configured to obtain internal data of a target enterprise and external data of an enterprise information management platform; a business operation analysis device comprises: a data storage and analysis module, the data storage and analysis module is configured with a database, and is used to store the internal data and the external data, and to establish an association relationship between the internal data, the external data and a business operation system rule library of employees of the target enterprise by using a data analysis method, so as to obtain an audit analysis model of the target enterprise; a business operation analysis module is configured to calculate a business operation screening result of employees of the target enterprise according to the audit analysis model.

[0006] In some embodiments of the present application, the data collection robot is configured to obtain the internal data of the target enterprise and the external data of the enterprise information management platform in the following manner: Obtain a staff roster of the target enterprise, wherein the staff roster comprises telephone numbers of employees and employee-related contacts of the target enterprise; The preset data collection robot is connected with the enterprise information management platform, logs in the enterprise information query platform, collects enterprise information corresponding to the telephone number from the enterprise information query platform based on the employee roster by using the data collection robot, and forms the employee business operation information of the target enterprise by using the enterprise information; the obtained employee declared information, the warehousing supplier information, the external payment flow information and the employee business operation information of the target enterprise are used as internal data; the enterprise business registration information, the main personnel information and the enterprise change information obtained from the enterprise information management platform are used as external data.

[0007] In some embodiments of the present application, the database comprises: an internal data storage structure table for storing internal data; and an external data storage structure table for storing external data.

[0008] In some embodiments of the present application, the internal data storage structure table comprises: an employee business operation information table for storing the employee business operation information; a supplier information table for storing the warehousing supplier information; an employee declared information table for storing the employee declared information; a financial income and expenditure information table for storing the external payment flow information; and an employee basic information table for storing the basic information of the employee; and the external data storage structure table comprises: an enterprise basic information table for storing the enterprise business registration information; a shareholder information table for storing the enterprise change information; and a main personnel table for storing the main personnel information.

[0009] In some embodiments of the present application, the analysis result of the employee business operation comprises: an employee business operation scenario analysis, an employee business operation risk assessment result and an employee treatment measure result, and the business operation analysis module is configured to obtain the employee business operation scenario analysis, the employee business operation risk assessment result and the employee treatment measure result in the following manner: running an audit analysis model to obtain an employee business operation scenario analysis result; comparing the employee business operation scenario analysis result with a preset risk quantification model to obtain an employee business operation risk assessment result; and obtaining an employee treatment measure result according to the employee business operation risk assessment result and a preset risk and measure mapping relationship in an employee business operation system rule library.

[0010] In some embodiments of the present application, the employee business operation scenario analysis result includes employee declaration information, enterprise inventory information and enterprise transaction information, and the employee business operation analysis module is configured to obtain the employee declaration information, the enterprise inventory information and the enterprise transaction information in the following manner: performing correlation analysis on the data stored in the employee business operation information table, the employee declaration information table, the employee basic information table and the enterprise basic information table to obtain the employee declaration information of the target enterprise; performing correlation analysis on the employee business operation information table, the supplier information table and the enterprise basic information table to obtain the enterprise inventory information of the target enterprise; and performing correlation analysis on the employee business operation information table, the financial income and expenditure information table and the enterprise basic information table to obtain the enterprise transaction information of the target enterprise.

[0011] In some embodiments of the present application, the data collection robot is configured to obtain internal data and external data by using RPA and crawler methods.

[0012] The second aspect of the present application provides an employee business operation screening method, which comprises the following steps: obtaining internal data of a target enterprise and external data of an enterprise information management platform; storing the internal data and the external data in a preset database, and establishing a correlation relationship between the internal data, the external data and a rule library of an employee business operation system of the target enterprise by using a data analysis method to obtain an audit analysis model of the target enterprise; and calculating an employee business operation screening result of the target enterprise according to the audit analysis model.

[0013] The third aspect of the present application provides an electronic device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the method of the second aspect in the above embodiments when executing the computer program.

[0014] The fourth aspect of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the method of the second aspect in the above embodiments.

[0015] The present application has the following beneficial effects: The present application provides an automatic employee business operation screening scheme, in which a database is constructed to store data required for employee business operation screening in the database, and a correlation relationship between internal data, external data and a rule library of an employee business operation system of a target enterprise is established in the database by using a data analysis method to obtain an audit analysis model of the target enterprise, and an employee business operation screening result of the target enterprise is obtained according to the audit analysis model. The unified automatic analysis mode of storing data required for employee business operation screening in a database and constructing an audit analysis model for analysis reduces the screening period, improves the screening accuracy, and can meet the needs of enterprises for efficient and accurate risk identification and compliance management. BRIEF DESCRIPTION OF DRAWINGS

[0016] The drawings incorporated in and forming a part of the specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application.

[0017] Figure 1 is an example flowchart of a prior art business operation screening solution provided by the present application; Figure 2 is an example framework diagram of a prior art business operation screening solution using Excel provided by the present application; Figure 3 is an example framework diagram of a business operation screening system provided by the present application; Figure 4 is an example flowchart of a business operation screening result obtained by using a business operation screening system provided by the present application; Figure 5 is an example flowchart of a business operation screening result obtained by using a database and an audit analysis model provided by the present application; Figure 6 is an example flowchart of a business operation screening result obtained by running an audit analysis model provided by the present application; Figure 7 is an example flowchart of a business operation screening result obtained by using a business operation screening system provided by the present application; Figure 8 is an example flowchart of a business operation screening method provided by the present application; Figure 9 is a framework diagram of an embodiment of an electronic device provided by the present application; Figure 10 is a framework diagram of an embodiment of a computer readable storage medium provided by the present application. DETAILED DESCRIPTION

[0018] The scheme of the embodiments of the present application will be described in detail below with reference to the drawings.

[0019] In the following description, specific details are set forth, such as particular system configurations, interfaces, techniques, etc., in order to provide a thorough understanding of the present application. However, persons having ordinary skill in the art will appreciate that the present application can be practiced without these details.

[0020] The term "and / or", used herein merely describes association between associated objects, which means that there can exist three relationships, for example, A and / or B can mean that A exists alone, A and B exist together, and B exists alone. In addition, the character " / " herein generally means that the front and rear associated objects are in an "or" relationship. In addition, "multiple" herein means two or more than two. In addition, the term "at least one" herein means any one of multiple or any combination of at least two of multiple, for example, including at least one of A, B and C can mean including any one or more elements selected from the set consisting of A, B and C.

[0021] For example, as shown in Figure 1 , the auditor exports the telephone numbers of employees, family members, emergency contacts and the like from the HR human resource system, forms a CSV format of EXCEL after manual sorting, then converts the CSV format to VCF (a mobile phone recognizable way) by using a script tool, and then imports it into the mobile phone address book. Then install Tianyan APP in the mobile phone, run the APP and click the "discover the boss around you" function, and then use the long screenshot OCR tool to save the screenshot as a picture, identify the content of the picture, and sort it to form an EXCEL. Finally, the relevant enterprise information list of the employees' business and enterprise of the enterprise is obtained. After collecting the relevant enterprise information list of the employees' business and enterprise, through the VLOOKUP formula, the list is matched one by one with the already submitted list, and the actual unreported list is obtained. Then use VLOOKUP to associate and match the multiple tables of the exported supplier account and financial income and expenditure account of the audited unit, and finally obtain the screening result of the employees' business and enterprise of the enterprise. In addition, as shown in Figure 2 , a schematic diagram for using an EXCEL table to analyze data to obtain the screening result of the employees' business and enterprise. This use of the EXCEL table has the following disadvantages: (1) low efficiency: manual operation is time-consuming and cannot meet the needs of large-scale data screening; (2) prone to errors: manual entry is prone to data omission or misrecording; (3) limited analysis capability: Excel is difficult to handle multi-source data association and lacks complex logic analysis capability; (4) data island: internal and external data are not integrated, and risks cannot be comprehensively identified.

[0022] To solve the above problems, the present application provides an automatic business and enterprise screening scheme. In the present scheme, the data required for business and enterprise screening is stored in a database and an audit analysis model is constructed for analysis. The unified and automated analysis method reduces the screening period and improves the screening accuracy, which can meet the needs of enterprises for efficient and accurate risk identification and compliance management The present application will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0023] According to an embodiment of the present application, the present application provides a business and enterprise screening system, as shown in Figure 3As shown, the business operation screening system of the present application comprises: The data acquisition robot is configured to acquire internal data of the target enterprise and external data of the enterprise information management platform; the business operation analysis device comprises a data storage and analysis module, which is configured with a database for storing internal data and external data, and establishing a correlation between the internal data, the external data and a staff business operation system rule library of the target enterprise by using a data analysis method to obtain an audit analysis model of the target enterprise; and a business operation analysis module for calculating a staff business operation screening result of the target enterprise according to the audit analysis model.

[0024] As described above, the above-mentioned embodiments of the present application store the data required for business operation screening in the database, and establish a correlation between the internal data, the external data and the staff business operation system rule library of the target enterprise in the database by using a data analysis method to obtain an audit analysis model of the target enterprise, and obtain a staff business operation screening result of the target enterprise according to the audit analysis model. This unified and automated analysis method of storing the data required for business operation screening in a database and constructing an audit analysis model for analysis reduces the screening period and improves the screening accuracy, and can meet the needs of enterprises for efficient and accurate risk identification and compliance management.

[0025] The functions performed by the data acquisition robot and the data storage and analysis module will be described below.

[0026] I. Data acquisition robot According to an embodiment of the present application, the data acquisition robot is configured to acquire internal data and external data by using RPA and crawler methods.

[0027] As described above, the data acquisition robot of the above-mentioned embodiments of the present application can efficiently and accurately acquire internal data and external data of the target enterprise by combining RPA (robotic process automation) and crawler methods, significantly improving the automation degree and coverage of data acquisition. RPA technology ensures seamless extraction of internal system data, while the crawler method can flexibly cope with complex external network environments and capture diverse public data. This combination of dual technologies not only improves the efficiency of data acquisition, but also reduces the cost and error rate of manual intervention, providing a more comprehensive and reliable foundation for subsequent data analysis and decision-making. Moreover, RPA replaces manual operation, and the data acquisition efficiency is improved by more than 90%.

[0028] According to one embodiment of the present application, the data collection robot is configured to obtain internal data of the target enterprise and external data of the enterprise information management platform in the following manner: obtaining a staff roster of the target enterprise, wherein the staff roster includes telephone numbers of employees and employee-related contacts of the target enterprise; connecting the preset data collection robot to the enterprise information management platform, logging into the enterprise information query platform, and using the data collection robot to collect enterprise information corresponding to the telephone numbers from the enterprise information query platform based on the staff roster, and forming employee business operation information of the target enterprise from the enterprise information; obtaining the employee declared information, the warehoused supplier information, the external payment transaction information, and the employee business operation information of the target enterprise as internal data; obtaining the enterprise business registration information, the main personnel information, and the enterprise change information from the enterprise information management platform as external data.

[0029] For example, as shown in FIG. 1, the staff roster of the audited unit in the system is exported through the HR system within the enterprise, and the telephone list of employees, family members, emergency contacts, and related contact numbers is summarized and formed as a prerequisite for employee business operation information collection. Then, the RPA data collection robot program is run, the enterprise information management platform (i.e., the enterprise information query platform in the figure) is logged into, and the enterprise information of the related telephone numbers is automatically collected according to the telephone list, realizing automatic processing of the whole collection process, reducing manual errors, and automatically saving to form an employee business operation list. Figure 4

[0030] As can be seen from the above description, the data collection robot of the above embodiment of the present application can efficiently and accurately collect enterprise information corresponding to telephone numbers by obtaining a staff roster of a target enterprise and connecting it to an enterprise information management platform, and can construct employee business operation information. At the same time, the robot integrates internal data such as employee declared information, warehoused supplier information, and external payment transaction information of the target enterprise, and external data such as enterprise business registration information, main personnel information, and enterprise change information obtained from the enterprise information management platform, realizing comprehensive collection and integration of internal and external data of the enterprise. This scheme significantly improves the automation level and coverage of data collection, reduces the cost and error rate of manual intervention, and provides more comprehensive and reliable data support for enterprise risk management, compliance review, and decision analysis. Multi-source data correlation analysis supports complex scenario screening; data set analysis realizes full-coverage analysis to avoid sampling inspection risks.

[0031] ​According to an embodiment of the present application, the data collection robot comprises: a query interface module for encapsulating the standardized telephone number into a query task object conforming to the internal processing format; a query task management and scheduling module for managing the query queue, controlling the query rhythm, strictly complying with the call frequency limit (such as QPS, daily upper limit) of the enterprise information management platform (such as Tianyancha) API, avoiding the limitation or ban of enterprise information management platform API access due to high-frequency requests, and distributing tasks to the execution engine; an API request construction and execution engine module for being responsible for actual interaction with the enterprise information management platform API, sending query requests and receiving original responses through effective authentication tokens (such as token); a response analysis and data extraction module for realizing the analysis of the original JSON data returned by the enterprise information management platform API, extracting the required structured information, and accurately extracting the target field through path analysis (such as operator access to nested object properties) or key-value lookup according to the fixed data structure returned by the enterprise information management platform API; a data cleaning and standardization module for cleaning, converting and formatting the extracted original data, removing irrelevant characters, HTML tags (if the API returns unexpectedly), processing garbled codes, and making it conform to the internal storage or display standard; a result storage and output module for storing the cleaned results, persisting the structured results to the database (such as MySQL (using SQL Server or Oracle instead of MySQL), MongoDB, etc.), cache (such as Redis) or file system (such as csv, xlsx), and presenting the query results to the user; an error handling and log module for capturing and handling exceptions in the entire process, recording detailed operation logs and error information for monitoring, auditing and troubleshooting; a data security and compliance module for ensuring that the entire data query process complies with laws and regulations and the use terms of the enterprise information management platform API by forcing the use of HTTPS protocol for all API communications, and performing identity authentication and permission control on users using the data collection robot.

[0032] From the above description, the above embodiments of the present application standardize the telephone number through the query interface module and encapsulate the query task, strictly control the query rhythm through the query task management and scheduling module to avoid API access limitation, ensure stable interaction with the platform API through the API request construction and execution engine module, accurately extract structured information through the response analysis and data extraction module, optimize data quality through the data cleaning and standardization module, persist and present the results through the result storage and output module, guarantee the reliability of the process through the error handling and log module, and ensure compliance and security through the data security and compliance module. This scheme significantly improves the automation, accuracy and compliance of data collection, provides comprehensive and reliable data support for enterprise risk management, compliance review and decision analysis, while reducing the cost of manual intervention and the error rate.

[0033] II. Data Storage and Analysis Module The core feature of the database designed in this application lies in its storage architecture for heterogeneous data fusion. This architecture not only securely and isolatedly stores data from the enterprise's internal business systems (such as supplier, payment, and personnel data) and external enterprise information management platforms (such as Tianyancha), but also achieves deep linking of internal and external data through intelligent association rules based on key enterprise identifiers (unified social credit code, enterprise name, and contact number) and personnel identifiers (employee ID, name, and mobile phone number), as well as a tracking chain bound to user query requests. Furthermore, combined with immutable operation logs, granular field-level encryption strategies, and timestamp-based version management, this database provides robust data support and full lifecycle auditing capabilities for data collection robots that query enterprise-related information based on phone numbers. This is the key technological foundation for screening employees' business activities.

[0034] According to one embodiment of this application, the database includes: an internal data storage structure table for storing internal data; and an external data storage structure table for storing external data.

[0035] 1. Internal Data (Source: Enterprise's internal business systems) Source Identifier: Each record must clearly indicate the data source system (e.g., source_system='SRM', source_system = 'SAP', source_system = 'HR'); Storage Structure: Construct internal data storage structure tables, such as the Business and Enterprise Information Table (data collected by the robot), Financial Revenue and Expenditure Information Table (financial system), Supplier Information Table (SRM system), Employee Declaration Information Table (HR system), Employee Basic Information Table (HR system), etc., for storage. The storage rules for internal data in the database are as follows: (1) Use the original primary key of the business system (e.g., supplier ID, payment ID, employee ID) or generate a globally unique business key as the primary key of the audit database table to ensure that it can be uniquely identified in the audit database; (2) Record data operation timestamps: including creation timestamp (created_time) and last update timestamp (last_updated_time).

[0036] 2. External Data (Source: Tianyancha) Source Identifier: Each record must clearly indicate the data source platform (source_platform = 'Tianyan Check'); Storage Structure: Construct external data storage structure tables, such as enterprise basic information table, shareholder information table, key personnel table, etc. for storage. The storage rules for external data in the database are as follows: (1) Key Identifier Storage: Identifiers that can uniquely or with a high probability identify the enterprise must be stored. The unified social credit code (most authoritative) is preferred, followed by the registration number or Tianyan Check unique ID; (2) Record Data Acquisition Timestamp: The acquisition timestamp (data_acquired_time) records the precise time when the data was acquired from Tianyan Check. This is the key to assessing the freshness and timeliness of the data.

[0037] As described above, the embodiments of this application separate internal and external data storage by constructing internal and external data storage structure tables, clearly marking data sources and adopting different storage rules, which effectively achieves data classification management, accurate traceability, and efficient utilization. Internal data is stored based on the business system's native primary key or globally unique business key, and operation timestamps are recorded to ensure data uniqueness and auditability; external data is stored through key identifiers (such as unified social credit codes) and data acquisition timestamps to ensure data authority and timeliness. This separate storage method not only optimizes data organization and management efficiency but also facilitates data integration and analysis, risk monitoring, and compliance review, providing a clearer and more reliable data foundation for enterprise decision-making while reducing the risk of data confusion and errors.

[0038] According to one embodiment of this application, the internal data storage structure includes: a Business Operation Information Table, used to store employee business operation information; the Business Operation Information Table includes: Query ID, Query Number, Employee or Family Member Name, Matching Type, Company Name, Legal Representative, Establishment Date, Registered Capital, Company Status, Business Registration Number, Unified Social Credit Code, etc. A Supplier Information Table, used to store information on suppliers in the database; the Supplier Information Table includes: Supplier ID, Supplier Name, Enterprise Type, Unified Social Credit Code, Registered Capital, Legal Representative, Business Scope, Business Manager Name, Telephone Number, Introduction Time, Introducing Unit, Person in Charge, Supplier Status, etc. An Employee Declaration Information Table, used to store employee declaration information; the Employee Declaration Information Table includes: Declaration Record ID, Employee ID, Declaration Type, Declaration Company Name / Unified Social Credit Code, Declaration Shareholding Ratio / Position, Declaration Status, Declaration Time, etc. A Financial Revenue and Expenditure Information Table, used to store external payment transaction information; the Financial Revenue and Expenditure Information Table includes: Payment ID, Related Contract ID, Payment Amount, Payment Date, Payer Account, Payee Company Name, Payee Account, Voucher Number, Status, etc. The employee basic information table is used to store basic employee information. The employee basic information table includes: employee ID, name, department, position, mobile phone number, work email, date of employment, etc.

[0039] As described above, the embodiments of this application, by constructing an internal data storage structure table including a business operation information table, a supplier information table, an employee declaration information table, a financial income and expenditure information table, and an employee basic information table, can systematically and structurally store the core business data of an enterprise, achieving data classification management and precise traceability. This storage method not only ensures the integrity, uniqueness, and auditability of the data, but also facilitates rapid data retrieval, integration analysis, and risk monitoring, providing a comprehensive and reliable data foundation for the enterprise's compliance review, risk management, and decision support. Simultaneously, it improves the efficiency and transparency of data management and reduces the risk of data errors and confusion.

[0040] According to one embodiment of this application, the external data storage structure table includes: a basic enterprise information table, used to store enterprise registration information; the basic enterprise information table includes: enterprise ID, enterprise name, historical enterprise names, unified social credit code, registration number, legal representative's name, registered capital, establishment date, operating status, company type, registered address, business scope, contact number, email address, etc.; a shareholder information table, used to store enterprise change information; the shareholder information table includes: shareholder ID, related enterprises, shareholder name / person, shareholder type, subscribed capital, subscribed capital date, capital contribution ratio, etc.; and a key personnel table, used to store key personnel information; the key personnel table includes: personnel ID, related enterprises, name, position, etc.

[0041] As described above, the embodiments of this application, by constructing an external data storage structure table including a basic enterprise information table, a shareholder information table, and a key personnel table, can systematically and efficiently store and manage enterprise-related data from external platforms (such as Tianyancha), ensuring the integrity, authority, and timeliness of the data. This structured storage method not only facilitates rapid querying and integration of external data but also provides comprehensive and reliable external data support for enterprise risk assessment, compliance review, and business decision-making. Furthermore, by recording data acquisition timestamps, the freshness and timeliness of the data can be effectively assessed, improving the accuracy and value of data utilization.

[0042] According to one embodiment of this application, the employee business operation rule base is a system of rules stored in a structured or parsable form, such as: Prohibited scenarios: explicitly prohibited behaviors (e.g., employees serving as legal representatives / senior executives; employees holding shares; transactions with companies controlled by close relatives, etc.); Restricted scenarios: behaviors requiring declaration and approval (e.g., employees serving as legal representatives / senior executives; employees holding shares; transactions between companies controlled by close relatives of employees and the company, etc.); Risk level definition: clearly defined criteria for high, medium, low, and no risk (e.g., no risk - declared but not yet entered into the database, no transactions; low risk - declared and entered into the database, no transactions, no declaration and not yet entered into the database, no transactions; medium risk - declared and entered into the database, transactions, no declaration and entered into the database, no transactions; high risk - not declared but entered into the database, transactions); Handling measures guidance: preset handling measures for different risk levels and scenarios (e.g., high risk - termination of transactions, removal from the database, accountability; medium risk - termination of transactions, removal from the database, declaration or cancellation of the company; low risk - declaration or cancellation of the company, removal from the database; no risk - no handling required).

[0043] According to one embodiment of this application, the analysis results of employees engaging in business activities include: scenario analysis of employees engaging in business activities, risk assessment results of employees engaging in business activities, and results of employee handling measures. The business activity analysis module is configured to obtain the scenario analysis of employees engaging in business activities, risk assessment results of employees engaging in business activities, and results of employee handling measures in the following manner: running an audit analysis model to obtain the scenario analysis results of employees engaging in business activities; comparing the scenario analysis results of employees engaging in business activities with a preset risk quantification model to obtain the risk assessment results of employees engaging in business activities; and obtaining the results of employee handling measures based on the risk assessment results of employees engaging in business activities and the preset risk and measure mapping relationship in the employee business activity system rule base.

[0044] According to one embodiment of this application, the preset risk quantification model includes: High risk - no declaration + warehoused + transaction; Medium risk - no declaration + warehoused + no transaction, or Medium risk - declared + warehoused + transaction; Low risk - no declaration + not warehoused + no transaction, Low risk - declared + warehoused + no transaction; No risk - no declaration + not warehoused + no transaction. It should be noted that the specific risk quantification model may also include more corresponding relationships set according to the nature of the enterprise, which are not specifically limited here.

[0045] According to one embodiment of this application, the preset risk-measure mapping relationship includes: No declaration + already in storage + transaction -- terminate transaction and release from storage, determine liability and impose penalties; No declaration + already in storage + no transaction -- release from storage, supplementary declaration or deregistration of the enterprise; Declaration + already in storage + transaction -- terminate transaction and release from storage; No declaration + not in storage + no transaction -- supplementary declaration or deregistration of the enterprise; Declaration + already in storage + no transaction -- release from storage; No declaration + not in storage + no transaction -- no processing required. It should be noted that the specific risk-measure mapping relationship may also include more corresponding relationships set according to the nature of the enterprise, which are not specifically limited here.

[0046] As described above, the embodiments of this application obtain the analysis results of employees' business activities by running an audit analysis model, compare them with a preset risk quantification model, generate risk assessment results of employees' business activities, and determine the handling measures for employees based on the risk-measure mapping relationship. This achieves a comprehensive analysis and accurate assessment of employees' business activities, effectively identifies potential risks and provides targeted solutions, improves the efficiency of enterprise compliance management, reduces operational risks, and provides a strong guarantee for the steady development of enterprises.

[0047] According to one embodiment of this application, the analysis results of employee business operation scenarios include: employee declaration information, enterprise entry information, and enterprise transaction information. The business operation analysis module is configured to obtain these information in the following ways: Correlation analysis is performed on the data stored in the business operation information table, employee declaration information table, employee basic information table, and enterprise basic information table to obtain the employee declaration information of the target enterprise; if the collected enterprise exists in the employee declaration information table and corresponds to an associated employee, then the employee is considered to have declared; otherwise, no declaration is considered. Correlation analysis is performed on the business operation information table, supplier information table, and enterprise basic information table to obtain the enterprise entry information of the target enterprise; if the collected enterprise exists in the supplier information table and is introduced by the current company, then the enterprise is considered to have entered the database; otherwise, it is considered not entered. The business operation information table, financial income and expenditure information table, and enterprise basic information table are used to obtain the enterprise transaction information of the target enterprise; if the collected enterprise has a corresponding payment transaction record in the financial income and expenditure information table, it indicates that there is a transaction with the current company; otherwise, no transaction is considered.

[0048] As described above, the embodiments of this application, through multi-dimensional correlation analysis of the business operation information table, employee declaration information table, employee basic information table, enterprise basic information table, supplier information table, and financial income and expenditure information table, accurately obtain the employee declaration information, enterprise entry information, and enterprise transaction information of the target enterprise. This achieves a comprehensive review and efficient identification of employees' business operation scenarios, helps enterprises quickly grasp the true situation of employees' business operation, effectively improves compliance management capabilities, reduces potential risks, provides data support for enterprise decision-making, and further ensures the stable operation and healthy development of the enterprise.

[0049] According to one embodiment of this application, the data analysis method includes classification, clustering, and time series analysis methods.

[0050] For example, such as Figure 5 As shown, after automatically collecting employee business information, and combining it with the company's internal data set and external data exported from the enterprise information management platform, guided by big data analytics thinking, data intelligence analysis techniques such as classification, clustering, and time series analysis are employed to establish analytical logic and construct an audit data model to clean and analyze the data, thereby realizing its value analysis. The data aggregation and analysis stage is mainly divided into four parts: data preparation, data aggregation, data cleaning, and data analysis. Data cleaning and data analysis constitute the audit analysis model for analyzing employee business information, enabling comprehensive comparison and correlation analysis of relevant data, conducting full-coverage analysis, and discovering hidden audit clues. For example... Figure 6As shown, by running the audit analysis model, a data list of analysis results is output, enabling the identification of employee business-related scenarios and risk levels, and proposing handling measures based on the company's employee business-related regulations. Based on employee declarations, enterprise registration, and internal transactions, six types of employee business-related scenarios can be identified and categorized. Furthermore, combined with the company's risk control level, four risk levels—high risk, medium risk, low risk, and no risk—can be intelligently identified, and corresponding handling measures are suggested. Figure 7 The image shows the final result of the business operation screening system of this application, which is in EXCEL format.

[0051] Furthermore, according to one embodiment of this application, this application proposes a method for screening business operations, such as... Figure 8 As shown, the business operation screening method of this application obtains the business operation screening results of the target company's employees through the following execution steps S1-S3: S1, obtain the target company's internal data and external data from the enterprise information management platform; S2, store the internal and external data using a preset database, and use data analysis methods to establish the correlation between the internal data, external data, and the target company's employee business operation system rule base, so as to obtain the target company's audit analysis model; S3, calculate the target company's employee business operation screening results based on the audit analysis model.

[0052] In summary, compared to existing screening methods that rely on manual screening and involve data scattered across multiple systems, this application constructs a database to store the data required for business operation screening. Within this database, data analysis methods are used to establish relationships between internal data, external data, and the target company's employee business operation rules and regulations. This results in an audit analysis model of the target company, which in turn yields the screening results for its employees. This unified, automated analysis method, which stores the necessary data in a single database and uses an audit analysis model, reduces the screening cycle, improves accuracy, and meets the needs of enterprises for efficient and accurate risk identification and compliance management.

[0053] Based on the inventive concept of the above embodiments, this application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the method described in the above embodiments. The following is in conjunction with... Figure 9 Please provide a detailed explanation.

[0054] like Figure 9As shown, it illustrates the electronic device 100 of this application, which may specifically include a processor 110 and a memory 120. The memory 120 is coupled to the processor 110.

[0055] Processor 110 is used to control the operation of electronic devices. Processor 110 may also be referred to as a CPU (Central Processing Unit). Processor 110 may be an integrated circuit chip with signal processing capabilities. Processor 110 may also be a general-purpose processor, digital signal processor (DSP), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component. The general-purpose processor may be a microprocessor, or processor 110 may be any conventional processor.

[0056] The memory 120 is used to store computer programs and may be RAM, ROM, or other types of storage terminals. Specifically, the memory 120 may include one or more computer-readable storage media, which may be non-transitory or transient. The memory 120 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage terminals or flash memory terminals. In some embodiments, the non-transitory computer-readable storage media in the memory 120 is used to store at least one line of program code.

[0057] The processor 110 is used to execute computer programs stored in the memory 120 to implement the methods described in the various method embodiments of this application.

[0058] In some embodiments, the electronic device may further include a peripheral terminal interface 130 and at least one peripheral terminal. The processor 110, memory 120, and peripheral terminal interface 130 may be connected via a bus or signal line. Each peripheral terminal may be connected to the peripheral terminal interface 130 via a bus, signal line, or circuit board. Specifically, the peripheral terminal includes at least one of a radio frequency circuit 140, a display screen 150, an audio circuit 160, and a power supply 170.

[0059] The peripheral terminal interface 130 can be used to connect at least one I / O (Input / Output) related peripheral terminal to the processor 110 and the memory 120. In some embodiments, the processor 110, memory 120 and peripheral terminal interface 130 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 110, memory 120 and peripheral terminal interface 130 can be implemented on separate chips or circuit boards, which is not limited in this embodiment.

[0060] The radio frequency (RF) circuit 140 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The RF circuit 140 communicates with communication networks and other IoT devices via electromagnetic signals; it is the communication circuit of the electronic device. The RF circuit 140 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals back into electrical signals. Optionally, the RF circuit 140 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, an operator identification module card, etc. The RF circuit 140 can communicate with other terminals through at least one wireless communication protocol. This wireless communication protocol includes, but is not limited to: the World Wide Web, metropolitan area networks, intranets, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and / or WiFi (Wireless Fidelity) networks. In some embodiments, the RF circuit 140 may also include circuitry related to NFC (Near Field Communication), which is not limited in this application.

[0061] Display screen 150 is used to display a UI (User Interface). This UI may include graphics, text, icons, videos, and any combination thereof. When display screen 150 is a touch display screen, it also has the ability to collect touch signals on or above its surface. These touch signals can be input as control signals to processor 110 for processing. In this case, display screen 150 can also be used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments, there may be one display screen 150, located on the front panel of the electronic device; in other embodiments, there may be at least two display screens, located on different surfaces of the electronic device or in a folded design; in still other embodiments, display screen 150 may be a flexible display screen, located on a curved or folded surface of the electronic device. Furthermore, display screen 150 may be configured as a non-rectangular, irregular shape, i.e., a non-rectangular screen. Display screen 150 may be made of materials such as LCD (Liquid Crystal Display) or OLED (Organic Light-Emitting Diode).

[0062] The audio circuit 160 may include a microphone and a speaker. The microphone is used to collect sound waves from the operator and the environment, converting the sound waves into electrical signals that are input to the processor 110 for processing, or input to the radio frequency circuit 140 for voice communication. For stereo sound acquisition or noise reduction purposes, multiple microphones may be used, each positioned in a different part of the electronic device. The microphone may also be an array microphone or an omnidirectional microphone. The speaker is used to convert electrical signals from the processor 110 or the radio frequency circuit 140 into sound waves. The speaker may be a conventional film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can convert electrical signals not only into audible sound waves but also into inaudible sound waves for purposes such as distance measurement. In some embodiments, the audio circuit 160 may also include a headphone jack.

[0063] Power supply 170 is used to supply power to various components in an electronic device. Power supply 170 can be alternating current, direct current, a disposable battery, or a rechargeable battery. When power supply 170 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery that is charged via a wired line, while a wireless rechargeable battery is a battery that is charged via a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0064] For a detailed description of the functions and execution processes of each functional module or component in the electronic device embodiments of this application, please refer to the descriptions in the above-described method embodiments of this application, which will not be repeated here.

[0065] In the embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the embodiments of the electronic devices described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some data may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0066] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0067] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0068] Based on the inventive concept of the above embodiments, this application also provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, performs the steps of the method described in any of the above embodiments. The following is in conjunction with... Figure 10 This describes the execution process of the above embodiments on a computer-readable storage medium.

[0069] like Figure 10 As shown, it illustrates the computer-readable storage medium of this application. The integrated units described above, if implemented as software functional units and sold or used as independent products, can be stored in the computer-readable storage medium 200. Based on this understanding, the technical solution of this application, in essence, 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. This computer software product is stored in a storage medium and includes several instructions / computer programs to cause an Internet of Things device (which may be a personal computer, server, or network terminal, etc.) or processor to execute all or part of the steps of the methods of various embodiments of this application. The aforementioned storage medium includes various media such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks, as well as electronic terminals such as computers, mobile phones, laptops, tablets, and cameras that have the aforementioned storage media.

[0070] The execution process of program data in a computer-readable storage medium can be described with reference to the above-described method embodiments of this application, and will not be repeated here.

[0071] The above description is merely an embodiment of this application and does not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

[0072] Those skilled in the art will understand that, in the above-described method of the specific implementation, the order in which each step is written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of each step should be determined by its function and possible internal logic.

Claims

1. A business and enterprise screening system, characterized in that, The system includes: Data acquisition robots are used to acquire internal data of target companies and external data from enterprise information management platforms. Business operation analysis device, which includes: The data storage and analysis module is equipped with a database for storing internal data and external data, and uses data analysis methods to establish the relationship between the internal data, the external data, and the target company's employee business operation rules database, so as to obtain the audit analysis model of the target company. The business operation analysis module is used to calculate the screening results of the target company's employees' business operations based on the audit analysis model.

2. The business operation screening system according to claim 1, characterized in that, The data acquisition robot is configured to acquire internal data of the target enterprise and external data from the enterprise information management platform in the following manner: Obtain the employee roster of the target company, wherein the employee roster includes the employees of the target company and the phone numbers of the employees' related contacts; The preset data collection robot is connected to the enterprise information management platform, logs into the enterprise information query platform, and uses the data collection robot to collect enterprise information corresponding to the phone number from the enterprise information query platform based on the employee roster, as well as the enterprise information to form the business information of the target enterprise's employees. The information obtained regarding the target company's employees' declared information, supplier information, external payment records, and employees' business operations information will be used as the internal data. The enterprise registration information, key personnel information, and enterprise change information obtained from the enterprise information management platform will be used as the external data.

3. The business and enterprise screening system according to claim 2, characterized in that, The database includes: An internal data storage structure table is used to store the internal data; An external data storage structure table is used to store the external data.

4. The business and enterprise screening system according to claim 3, characterized in that, The internal data storage structure table includes: The Business and Enterprise Information Form is used to store the business and enterprise information of the aforementioned employees; The supplier information table is used to store the information of the suppliers that have entered the warehouse; Employee Declaration Information Form, used to store the declared information of the employees; A financial income and expenditure information table is used to store the aforementioned outward payment transaction information; The employee basic information table is used to store the basic information of the employees; The external data storage structure table includes: The enterprise basic information table is used to store the enterprise's business registration information; The shareholder information table is used to store the company's change information; The key personnel table is used to store information about the key personnel.

5. The business and enterprise screening system according to claim 4, characterized in that, The analysis results of employees engaging in business activities include: scenario analysis of employees engaging in business activities, risk assessment results of employees engaging in business activities, and results of employee handling measures. The business activity analysis module is configured to obtain these results in the following manner: Run the audit analysis model to obtain the analysis results of the employee's business operation scenario; The analysis results of the employee's business operation scenario are compared with the preset risk quantification model to obtain the risk assessment results of the employee's business operation. Based on the risk assessment results of the employee's business operations and the pre-set risk-measure mapping relationship in the employee's business operations system rule base, the results of the employee's handling measures are obtained.

6. The business and enterprise screening system according to claim 5, characterized in that, The analysis results of the employee's business activities include: employee declaration information, enterprise registration information, and enterprise transaction information. The business activities analysis module is configured to obtain the employee declaration information, enterprise registration information, and enterprise transaction information in the following manner: The data stored in the business information table, the employee declaration information table, the employee basic information table, and the enterprise basic information table are analyzed for correlation to obtain the employee declaration information of the target enterprise. A correlation analysis is performed on the business information table, the supplier information table, and the enterprise basic information table to obtain the enterprise entry information of the target enterprise. The business operation information table, the financial income and expenditure information table, and the basic enterprise information table are used to obtain the enterprise transaction information of the target enterprise.

7. The business and enterprise screening system according to claim 1, characterized in that, The data acquisition robot is configured to acquire the internal data and the external data using RPA and web crawling methods.

8. A method for screening business operations, characterized in that, The method includes: Acquire internal data of the target company and external data from the company's information management platform; The internal and external data are stored in a pre-set database, and data analysis methods are used to establish the relationship between the internal data, the external data, and the target company's employee business operation rules database, so as to obtain the audit analysis model of the target company. Based on the audit analysis model, the screening results of the target company's employees' business activities are calculated.

9. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the method as claimed in claim 8.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method of claim 8.

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