Qualification data evaluation method for distribution subject, electronic equipment and storage medium

Abstract

The invention relates to the field of finance and the technical field of data analysis, in particular to a qualification data evaluation method for a distribution subject, electronic equipment and a storage medium. According to the qualification data evaluation method, a qualification data evaluation demand for a target distribution subject needs to be acquired firstly; performing template query in a preset qualification evaluation database based on the qualification data evaluation demand to obtain a target acquisition template matched with the qualification data evaluation demand; collecting various distribution qualification data of the target distribution subject based on the target collection template to obtain a target collection record; and performing distribution qualification data evaluation on the target distribution subject according to the template acquisition record to obtain corresponding qualification data evaluation result information. According to the method, by introducing the template configuration implementation mode, the development workload is reduced, and the efficiency of qualification data evaluation for the distribution subject can be improved.

Description

Technical Field

[0001] The present application relates to the fields of finance and data analysis technology, and in particular to a qualification data evaluation method, electronic equipment, and storage medium for a distribution entity. Background Art

[0002] The qualification data assessment of the distributor is a risk assessment task that financial institutions conduct before providing financing. Through this risk assessment task, financial institutions can fully understand the operating conditions, financial health, market competitiveness and other important information of the distributor, which are important bases for assessing the feasibility and potential risks of resource transfer before financial institutions and distributors conduct financial activities.

[0003] In the relevant technologies, the qualification data assessment of the distributor faces the difficulty of data collection and integration. At present, the collection of qualification data of the distributor mainly relies on manual offline visits. This method is not only inefficient, but also lacks a unified standard for the collation of the qualification data of the distributor due to the differences in needs of different management departments and personnel with different permissions. The collected data is scattered and difficult to be effectively managed and viewed in a timely manner through the system. Therefore, how to improve the efficiency of qualification data assessment for distributors has become a problem that needs to be solved urgently in the industry. Summary of the invention

[0004] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a qualification data evaluation method for a distribution entity, an electronic device, and a storage medium, which can improve the efficiency of the qualification data evaluation for the distribution entity.

[0005] According to the first aspect of the present application, a qualification data evaluation method for a distribution entity includes:

[0006] Obtain the qualification data assessment requirements for the target distributor;

[0007] Based on the qualification data evaluation requirement, a template query is performed in a preset qualification evaluation database to obtain a target acquisition template that matches the qualification data evaluation requirement;

[0008] Based on the target collection template, multiple distribution qualification data of the target distribution entity are collected to obtain a target collection record;

[0009] The target distributor's distribution qualification data is evaluated according to the template collection record to obtain corresponding qualification data evaluation result information.

[0010] According to some embodiments of the present application, before performing a template query in a preset qualification evaluation database based on the qualification data evaluation requirement to obtain a target acquisition template matching the qualification data evaluation requirement, the process includes:

[0011] Determine the preset assessment requirements corresponding to various types of dealer qualifications;

[0012] For each of the preset assessment requirements, configure a corresponding distribution qualification collection template;

[0013] The step of performing a template query in a preset qualification evaluation database based on the qualification data evaluation requirement to obtain a target acquisition template matching the qualification data evaluation requirement includes:

[0014] Based on the qualification data evaluation requirement, a template query is performed in the qualification evaluation database, and the target collection template matching the qualification data evaluation requirement is determined from a plurality of the dealer qualification collection templates.

[0015] According to some embodiments of the present application, for each of the preset evaluation requirements, configuring a corresponding distribution qualification collection template includes:

[0016] Obtain various distribution indicator attribute definitions;

[0017] Conducting a demand assessment on the preset assessment requirements to obtain multiple qualification data assessment dimensions;

[0018] Based on the multiple distribution indicator attribute definitions, a corresponding indicator collection form is configured for each qualification data evaluation dimension;

[0019] The indicator collection forms corresponding to each qualification data evaluation dimension are integrated to obtain the distribution qualification collection template.

[0020] According to some embodiments of the present application, the obtaining of multiple distribution indicator attribute definitions includes:

[0021] For each preset distribution benchmark indicator, configure the indicator data type and the indicator verification rule corresponding to the indicator data type;

[0022] A distribution indicator attribute definition is generated according to the indicator data type and the indicator verification rule corresponding to the indicator data type.

[0023] According to some embodiments of the present application, the target collection template is used to collect multiple distribution qualification data of the target distribution entity to obtain a target collection record, including:

[0024] Based on the indicator collection form of the target collection template, selecting target qualification data from a plurality of distribution qualification data;

[0025] Filling the target qualification data into the indicator collection form, and determining the indicator collection form after filling in the target qualification data as the indicator recording form;

[0026] The multiple indicator record forms of the target distribution entity are integrated to obtain a target collection record.

[0027] According to some embodiments of the present application, each of the indicator record forms corresponds to one of the qualification data evaluation dimensions;

[0028] The step of evaluating the target distributor's distribution qualification data according to the template collection record to obtain corresponding qualification data evaluation result information includes:

[0029] Determine the corresponding multiple indicator record forms according to the template collection record;

[0030] Based on each of the indicator record forms and the associations between the indicator record forms, a comprehensive evaluation is performed on the target distribution entity to obtain the qualification data evaluation result information.

[0031] According to some embodiments of the present application, after performing a template query in a preset qualification evaluation database based on the qualification data evaluation requirement, the method further includes:

[0032] In response to the target acquisition template not matching the qualification data evaluation requirement not existing in the qualification evaluation database, querying historical data in the qualification evaluation database based on the qualification data evaluation requirement to obtain historical evaluation records;

[0033] The historical evaluation record is determined as the qualification data evaluation result information.

[0034] According to some embodiments of the present application, after querying historical data in the qualification evaluation database based on the qualification data evaluation requirement, the method further includes:

[0035] In response to the absence of a historical assessment record matching the qualification data assessment requirement in the qualification assessment database, performing a form traversal query in the qualification assessment database based on the qualification data assessment requirement to obtain a plurality of indicator collection forms associated with the qualification data assessment requirement;

[0036] The indicator collection forms are integrated to generate the target collection template that matches the qualification data evaluation requirements.

[0037] In a second aspect, an embodiment of the present application provides an electronic device, comprising: a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements a qualification data assessment method for a distribution entity as described in any one of the embodiments of the first aspect of the present application.

[0038] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the storage medium stores a program, and the program is executed by a processor to implement a qualification data assessment method for a distribution entity as described in any one of the embodiments of the first aspect of the present application.

[0039] The qualification data evaluation method, electronic device, and storage medium for a distributor according to the embodiments of the present application have at least the following beneficial effects:

[0040] The qualification data evaluation method for the distribution entity in this application needs to first obtain the qualification data evaluation requirements for the target distribution entity; then, based on the qualification data evaluation requirements, perform a template query in a preset qualification evaluation database to obtain a target collection template that matches the qualification data evaluation requirements; further, based on the target collection template, collect a variety of distribution qualification data of the target distribution entity to obtain a target collection record; further, perform distribution qualification data evaluation on the target distribution entity according to the template collection record to obtain the corresponding qualification data evaluation result information. By introducing a configurable target collection template, this application not only solves the problem of data integration, but also improves flexibility and scalability. This template configuration implementation method reduces development workload and can improve the efficiency of qualification data evaluation for distribution entities.

[0041] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0043] Figure 1 This is a flow chart of a method for evaluating the qualification data of a distributor according to an embodiment of the present application;

[0044] Figure 2 This is another flowchart of the qualification data evaluation method for a distribution entity according to an embodiment of the present application;

[0045] Figure 3 This is another flowchart of the qualification data evaluation method for a distribution entity according to an embodiment of the present application;

[0046] Figure 4This is another flowchart of the qualification data evaluation method for a distribution entity according to an embodiment of the present application;

[0047] Figure 5 This is another flowchart of the qualification data evaluation method for a distribution entity according to an embodiment of the present application;

[0048] Figure 6 This is another flowchart of the qualification data evaluation method for a distribution entity according to an embodiment of the present application;

[0049] Figure 7 This is another flowchart of the qualification data evaluation method for a distribution entity according to an embodiment of the present application;

[0050] Figure 8 This is another flowchart of the qualification data evaluation method for a distribution entity according to an embodiment of the present application;

[0051] Fig. 9 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0052] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as limiting the present application.

[0053] In the description of this application, "several" means one or more, "more" means more than two, "greater than", "less than", "exceed", etc. are understood to exclude the number itself, and "above", "below", "within", etc. are understood to include the number itself. If there is a description of "first" or "second", it is only used for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0054] In the description of the present application, it should be understood that descriptions involving orientation, such as up, down, left, right, front, back, etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0055] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0056] In the description of this application, it should be noted that, unless otherwise clearly defined, the terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in this application in combination with the specific content of the technical solution. In addition, the identification of specific steps below does not represent a limitation on the order of steps and execution logic. The execution order and execution logic between each step should be understood and inferred with reference to the contents described in the embodiment.

[0057] It should be noted that in each specific implementation of the present application, when it comes to the need to perform relevant processing based on data related to user identity or characteristics such as user information, user behavior data, user historical data, and user location information, the user's permission or consent will be obtained first, and the collection, use, and processing of these data will comply with relevant laws, regulations, and standards. In addition, when the embodiment of the present application needs to obtain the user's sensitive personal information, the user's separate permission or consent will be obtained through a pop-up window or by jumping to a confirmation page. After clearly obtaining the user's separate permission or consent, the necessary user-related data for the normal operation of the embodiment of the present application will be obtained.

[0058] The qualification data assessment of the distributor is a risk assessment task that financial institutions conduct before providing financing. Through this risk assessment task, financial institutions can fully understand the operating conditions, financial health and market competitiveness of the distributor, which are important information used to assess the feasibility and potential risks of resource transfer before the financial institution and the distributor conduct financial activities. However, in the actual operation of related technologies, financial institutions face some technical and operational difficulties.

[0059] One of the main problems is the difficulty in data collection and integration. At present, the collection of data on the qualifications of distributors mainly relies on manual offline visits. This method is not only inefficient, but also lacks a unified standard for the collation of data on the qualifications of distributors due to the differences in needs of different management departments and personnel with different permissions. The collected data is scattered and difficult to be effectively managed and viewed in a timely manner through the system.

[0060] In order to overcome these difficulties, this application proposes a qualification data evaluation method for distributors to optimize the qualification data evaluation process for distributors. This method effectively integrates the qualification data of distributors by refining common logic, thereby simplifying the processing process and improving work efficiency.

[0061] In addition, this application also proposes improvements to the difficulties in information content management in related technologies. In the traditional practice, when storing the collected qualification data of the distributor, it is necessary to define fields in advance for the specific content of the qualification data of the distributor, and query and store them through fixed forms. This practice will lead to repeated development when there are similar needs in multiple business departments, which is not only time-consuming and labor-intensive, but also difficult to adapt to changes in the evaluation needs of the qualification data of the distributor.

[0062] This application not only solves the problem of data integration by introducing configurable templates, but also improves flexibility and scalability. This template configuration implementation method reduces the development workload, allowing financial institutions to quickly respond to market changes and the need to adjust the content of the distributor qualification data assessment, thereby improving the efficiency and accuracy of the entire qualification data assessment work.

[0063] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a qualification data evaluation method for a distribution entity, an electronic device, and a storage medium, which can improve the efficiency of the qualification data evaluation for the distribution entity.

[0064] Further explanation is given below based on the accompanying drawings.

[0065] Reference Figure 1 According to the embodiment of the present application, the qualification data evaluation method for the distribution entity may include, but is not limited to, the following steps:

[0066] Step S101, obtaining the qualification data evaluation requirements for the target distribution entity;

[0067] Step S102, based on the qualification data evaluation requirement, a template query is performed in a preset qualification evaluation database to obtain a target acquisition template that matches the qualification data evaluation requirement;

[0068] Step S103, collecting various distribution qualification data of the target distribution entity based on the target collection template to obtain a target collection record;

[0069] Step S104, evaluating the dealer qualification data of the target dealer according to the template collection record, and obtaining corresponding qualification data evaluation result information.

[0070] The qualification data evaluation method for the distribution entity in this application needs to first obtain the qualification data evaluation requirements for the target distribution entity; then, based on the qualification data evaluation requirements, perform a template query in the preset qualification evaluation database to obtain a target collection template that matches the qualification data evaluation requirements; further, based on the target collection template, collect various distribution qualification data of the target distribution entity to obtain a target collection record; further, perform distribution qualification data evaluation on the target distribution entity according to the template collection record to obtain the corresponding qualification data evaluation result information. This application not only solves the problem of data integration by introducing a configurable target collection template, but also improves flexibility and scalability. This template configuration implementation method reduces development workload and can improve the efficiency of qualification data evaluation for distribution entities.

[0071] In step S101 of some embodiments, the qualification data evaluation requirements for the target distribution entity are obtained.

[0072] It should be noted that during the execution of step S101, the embodiment of the present application needs to clarify the specific goals and requirements for evaluating the distribution entity, which may include the evaluation requirements for the distribution entity's operating conditions, financial health status, market competitiveness, etc.

[0073] In step S102 of some embodiments, a template query is performed in a preset qualification evaluation database based on the qualification data evaluation requirement to obtain a target acquisition template that matches the qualification data evaluation requirement.

[0074] It should be noted that step S102 needs to perform a template query in a preset qualification evaluation database based on the clear qualification data evaluation requirements, in order to find and obtain a target acquisition template that matches these qualification data evaluation requirements.

[0075] It should be noted that the embodiment of the present application requires the pre-setting of a qualification evaluation database, in which a variety of templates are stored, which are preset to meet the qualification data collection and evaluation requirements of different types of distribution entities. Each template may contain specific data fields, collection methods, and evaluation logic.

[0076] During the execution of step S102, the embodiment of the present application can extract a requirement document or list from the qualification data evaluation requirements and use it as an input condition to query the qualification evaluation database. This query process may involve a search algorithm for the qualification evaluation database, which can identify and match the template that best meets the current needs. In some embodiments, the query conditions may include key indicators such as the industry category, business scale, financial status, and subject status of the distribution entity. Once the query is completed, the embodiment of the present application will obtain one or more target acquisition templates. These target acquisition templates define the specific parameters and specific methods required for collecting distribution qualification data. The specific parameters required for collecting distribution qualification data may include but are not limited to questions that need to be asked and indicators to be observed. The specific methods required for collecting distribution qualification data may include but are not limited to tools and techniques for collecting data.

[0077] It should be understood that the embodiment of the present application can select the most matching template in the qualification evaluation database according to the query results, or make necessary adjustments and combinations of several templates with higher matching degrees to obtain a target acquisition template to ensure that the target acquisition template can meet the corresponding qualification data evaluation requirements. Step S102 is a refined template matching process, which ensures that the embodiment of the present application can select or customize a suitable data collection and evaluation framework for specific qualification data evaluation requirements, thereby determining an adapted target acquisition template. This not only improves the efficiency of qualification data evaluation, but also ensures the quality and reliability of the evaluation results.

[0078] In step S103 of some embodiments, multiple distribution qualification data of the target distribution entity are collected based on the target collection template to obtain a target collection record;

[0079] It should be noted that step S103 describes in detail the process of collecting various distribution qualification data of the target distribution entity based on the selected target collection template. This step is a key link in realizing data-driven qualification data evaluation. In this process, the embodiment of the present application will systematically collect detailed information about the distribution entity according to the guidance of the target collection template, and this information will be used for subsequent data analysis and qualification data evaluation.

[0080] In some embodiments, a data collection questionnaire or a data extraction form can be generated based on the predefined data fields and structures in the target collection template. The target collection template can include survey indicators on the financial statements, market performance, credit records, business models, etc. of the distribution entity. These survey indicators will help the target collection records collected by the embodiments of the present application to fully reflect the operating conditions and market position of the distribution entity.

[0081] Next, the embodiment of the present application can use automated tools to collect data according to the survey indicators included in the target collection template. Among them, the automated tools can include data crawling software, online survey forms, etc. These automated tools can improve the efficiency and accuracy of data collection.

[0082] It should be understood that the target collection records collected in step S103 will directly affect the quality of the qualification data evaluation for the distribution entity, and provide solid data support for the entity qualification data evaluation.

[0083] Reference Figure 2 According to some embodiments of the present application, before performing a template query in a preset qualification evaluation database based on the qualification data evaluation requirement in step S102 to obtain a target acquisition template matching the qualification data evaluation requirement, the following steps may be included, but not limited to:

[0084] Step S201, determining preset evaluation requirements corresponding to multiple types of dealer qualifications;

[0085] Step S202: configuring a corresponding distribution qualification collection template for each preset evaluation requirement;

[0086] In step S102, based on the qualification data evaluation requirement, a template query is performed in a preset qualification evaluation database to obtain a target acquisition template that matches the qualification data evaluation requirement, which may include, but is not limited to, the following steps:

[0087] Step S203: Based on the qualification data evaluation requirement, a template query is performed in the qualification evaluation database, and a target collection template matching the qualification data evaluation requirement is determined from a plurality of dealer qualification collection templates.

[0088] In some embodiments of the present application, the execution of step S102 is based on a series of preliminary works. These preliminary works ensure that before the template query is performed, the present application embodiment has a relatively complete template configuration system that can meet the needs of different distribution qualification data evaluation.

[0089] In step S201 of some embodiments, it is necessary to determine the preset evaluation requirements corresponding to multiple types of distribution qualifications. It should be noted that the embodiments of the present application carefully classify different types of distribution entities and determine specific preset evaluation requirements for each type. These preset evaluation requirements can be determined based on factors such as the industry characteristics, business scale, and market positioning of the distribution entity. For example, for distribution entities in large-scale manufacturing industries, the corresponding preset evaluation requirements may include complex financial analysis and supply chain evaluation; while for small retailers, the corresponding preset evaluation requirements may focus more on resource flow and customer satisfaction.

[0090] Step S202 of some embodiments is the process of configuring a corresponding dealer qualification collection template for each preset evaluation requirement. In this step, the embodiment of the present application will configure a corresponding customized collection template, that is, a dealer qualification collection template, according to the preset evaluation requirement determined in step S201. These dealer qualification collection templates may include a series of predefined data fields and columns to be filled in, specifically used to collect key information that meets specific evaluation requirements. It should be understood that the configuration of the dealer qualification collection template may include data collection methods, data formats, and subsequent data processing and analysis processes.

[0091] In step S203 of some embodiments, the embodiments of the present application will perform a template query in the qualification evaluation database based on the qualification data evaluation requirements, and determine the target collection template that matches the qualification data evaluation requirements from multiple dealer qualification collection templates. This step is the actual operation stage of the template configuration and query process. The embodiments of the present application will use specific query conditions, such as the type, scale, and region of the dealer entity, to search and determine the dealer qualification collection template that best suits the qualification data evaluation requirements from the qualification evaluation database, and determine it as the target collection template. It should be pointed out that the query process may involve advanced search functions of the qualification evaluation database and template matching algorithms to ensure that the selected dealer qualification collection template can meet the qualification data evaluation requirements to the greatest extent.

[0092] In the embodiment of the present application shown in steps S201 to S203, by pre-configuring dealer qualification collection templates corresponding to various preset evaluation requirements in the qualification evaluation database, and combining template query, a suitable dealer qualification collection template can be used to determine a target collection template that matches the qualification data evaluation requirements, which helps to improve the efficiency and quality of collecting various dealer qualification data and provide a basis for subsequent dealer qualification data evaluation.

[0093] Reference Figure 3 According to some embodiments of the present application, step S202 configures a corresponding distribution qualification collection template for each preset evaluation requirement, which may include, but is not limited to, the following steps:

[0094] Step S301, obtaining multiple distribution index attribute definitions;

[0095] Step S302, performing demand assessment on the preset assessment requirements to obtain multiple qualification data assessment dimensions;

[0096] Step S303: Based on the multiple distribution indicator attribute definitions, a corresponding indicator collection form is configured for each qualification data evaluation dimension;

[0097] Step S304: Integrate the indicator collection forms corresponding to each qualification data evaluation dimension to obtain a distribution qualification collection template.

[0098] In some embodiments of the present application, step S202 details the process of configuring a corresponding dealer qualification collection template to meet each preset evaluation requirement. This process ensures that multiple dealer qualification collection templates can fully cover and target specific qualification evaluation requirements.

[0099] In step S301 of some embodiments, the embodiments of the present application need to obtain multiple distribution indicator attribute definitions. The distribution indicator attributes corresponding to these distribution indicator attribute definitions are key factors in evaluating the qualifications of the distribution entity. Among them, the distribution indicator attributes may include but are not limited to financial indicators, market performance, customer satisfaction, supply chain stability, etc.

[0100] In step S302 of some embodiments, the embodiments of the present application perform a needs assessment on the preset assessment needs to obtain multiple qualification data assessment dimensions. This step involves an in-depth analysis of the preset assessment needs to determine the specific aspects or dimensions that need to be evaluated. For example, financial health may be subdivided into dimensions such as debt repayment ability, profitability, and resource flow status. The purpose of needs assessment is to break down complex assessment needs into quantifiable, actionable, and specific data collection points.

[0101] In step S303 of some embodiments, based on the multiple distribution indicator attribute definitions that have been obtained, the embodiments of the present application configure a corresponding indicator collection form for each qualification data evaluation dimension. This step requires the embodiments of the present application to customize the data collection form, i.e., the indicator collection form, according to the characteristics and requirements of each qualification data evaluation dimension. These indicator collection forms may include specific columns to be filled in, data fields, and instructions to ensure that information related to a specific qualification data evaluation dimension can be collected.

[0102] In step S304 of some embodiments, the embodiment of the present application integrates the indicator collection forms corresponding to each qualification data evaluation dimension to obtain a dealer qualification collection template. The integration process may involve consideration of the logical order, data relevance and overall consistency of different forms to ensure that the final dealer qualification collection template is both comprehensive and coordinated. It should be understood that the integrated dealer qualification collection template will be used as a unified data collection tool for subsequent data collection work.

[0103] The embodiment of the present application shown through steps S301 to S304 can ensure that the configured dealer qualification collection template can not only meet specific preset evaluation requirements, but also can efficiently guide data collection work and provide accurate and comprehensive data support for qualification data evaluation.

[0104] Reference Figure 4According to some embodiments of the present application, step S301 of obtaining multiple distribution indicator attribute definitions may include, but is not limited to, the following steps:

[0105] Step S401, for each preset distribution benchmark indicator, configure the indicator data type and the indicator verification rule corresponding to the indicator data type;

[0106] Step S402: Generate a distribution indicator attribute definition according to the indicator data type and the indicator verification rule corresponding to the indicator data type.

[0107] In some embodiments of the present application, the purpose of step S301 is to obtain the attribute definitions of various distribution indicators, which is the basis for building a distribution qualification collection template. This step ensures the standardization and systematization of indicators, providing consistency and accuracy for subsequent data collection and analysis.

[0108] In step S401 of some embodiments, detailed configuration is performed for each preset distribution benchmark indicator, which may specifically include determining the indicator data type of the indicator, such as a number, percentage, date, or other categorized data, wherein clarifying the indicator data type is crucial for data storage, processing, and analysis. In addition, corresponding indicator verification rules need to be configured for each data type. These indicator verification rules define acceptance criteria corresponding to the indicator data type, such as a numerical range, format requirements, or logical consistency.

[0109] Step S402 of some embodiments is a process of generating a distribution indicator attribute definition based on the indicator data type and indicator verification rules configured in step S401. In this step, the embodiments of the present application will use predefined data types and verification rules to create specific distribution indicator attribute definitions. These definitions will clarify the name, description, calculation method and importance level of each distribution indicator. The generated distribution indicator attribute definition will be used as a component of the distribution qualification collection template to facilitate the collection of template collection records in subsequent steps.

[0110] The embodiment of the present application shown by step S401 to step S402 can ensure that each distribution indicator has a clear definition and verification mechanism, thereby improving the quality of the distribution qualification collection template. These distribution indicator attribute definitions not only help to standardize the data collection process, but also provide a solid foundation for data analysis and qualification data evaluation. Ultimately, these definitions will be integrated into the distribution qualification collection template, which will help to collect and form high-quality template collection records in the subsequent process.

[0111] Reference Figure 5 According to some embodiments of the present application, after performing a template query in a preset qualification evaluation database based on the qualification data evaluation requirement in step S102, the following steps may also be included, but are not limited to:

[0112] Step S501, in response to the fact that the qualification evaluation database does not have a target collection template that matches the qualification data evaluation requirement, historical data query is performed in the qualification evaluation database based on the qualification data evaluation requirement to obtain historical evaluation records;

[0113] Step S502: determine the historical evaluation record as qualification data evaluation result information.

[0114] In some embodiments of the present application, step S501 and step S502 are supplementary processes designed for the situation where a target acquisition template that fully matches the current qualification data assessment requirement cannot be found in the qualification assessment database.

[0115] In step S501 of some embodiments, when the qualification assessment database cannot provide a template that directly matches the specific qualification data assessment requirements, the embodiments of the present application will instead query historical data. This step involves searching the qualification assessment database for historical assessment records that are similar or related to the current requirements. Among them, historical assessment records may contain data previously collected and analyzed in similar situations, which can provide valuable reference and reference for current assessment needs. The process of querying historical data can utilize keyword matching, similarity assessment, or other related search techniques to ensure that the retrieved information is as relevant as possible to the current needs.

[0116] Step S502 of some embodiments is intended to use the retrieved historical assessment records as the basis for the qualification data assessment result information. It should be noted that this means that the embodiments of the present application will analyze the historical data, extract key indicators and conclusions, and integrate this information into the current assessment process. The importance of this step is that it allows the embodiments of the present application to use existing knowledge and experience to support new assessment tasks, and to make reasonable judgments and decisions even in the absence of ready-made templates.

[0117] In some embodiments, during the implementation of step S502, the historical evaluation records may be verified and updated to ensure the applicability and accuracy of the historical evaluation records in the current context. Specifically, the timeliness, relevance, and reliability of the data source of the historical evaluation records may be evaluated. In addition, some embodiments may also consider changes in the current market environment, regulatory policies, or the distribution entity's own situation and make appropriate adjustments to the historical evaluation results.

[0118] The embodiment of the present application shown by steps S501 to S502 can ensure that even in the absence of a specific template, historical data can be effectively utilized to support qualification assessment work, thereby improving the comprehensiveness and depth of qualification data assessment, and also improving the flexibility and adaptability of the assessment work.

[0119] Reference Figure 6 According to some embodiments of the present application, after querying historical data in the qualification evaluation database based on the qualification data evaluation requirements in step S501, the following steps may also be included, but are not limited to:

[0120] Step S601, in response to the fact that there is no historical assessment record matching the qualification data assessment requirement in the qualification assessment database, a form traversal query is performed in the qualification assessment database based on the qualification data assessment requirement to obtain a plurality of indicator collection forms associated with the qualification data assessment requirement;

[0121] Step S602: Integrate the indicator collection forms to generate a target collection template that matches the qualification data assessment requirements.

[0122] In some embodiments of the present application, after step S501 is executed, if there is neither a ready-made template nor a historical assessment record that directly matches the qualification data assessment requirements in the qualification assessment database, the embodiments of the present application will take further measures, and steps S601 and S602 provide solutions for this.

[0123] In step S601 of some embodiments, the embodiments of the present application will perform a form traversal query in the qualification assessment database based on the qualification data assessment requirements. The purpose of this step is to retrieve indicator collection forms related to the current assessment requirements from the qualification assessment database. These indicator collection forms may not fully meet the current qualification data assessment requirements, but contain data indicators or fields associated with the current qualification data assessment requirements and can serve as the basis for building new templates. It should be noted that the form traversal query can systematically check all forms stored in the database to identify forms containing key indicators that are associated with the current qualification data assessment requirements.

[0124] Step S602 of some embodiments requires that the embodiments of the present application integrate multiple indicator collection forms associated with qualification data assessment requirements. This step requires analyzing and comparing the indicators in different indicator collection forms to determine their commonalities and differences. The embodiments of the present application can evaluate the relevance of each indicator collection form and clarify which indicators are necessary and which can be merged or excluded. Through this process, the embodiments of the present application can construct a new target collection template that specifically matches the current qualification data assessment requirements. It should be clear that the result of step S602 is to generate a new target collection template that can meet specific qualification data assessment requirements. This target collection template can be used to guide subsequent data collection work to ensure that the collected data can provide necessary information and support for risk assessment.

[0125] In some embodiments, during the integration process, the indicators in the indicator collection form may be adjusted or redefined to ensure that they can fully cover the evaluation requirements. Adjusting or refining the indicators in the indicator collection form may include: modifying the definition, data type, verification rules or collection method of the indicator.

[0126] The embodiment of the present application shown through step S601 to step S602 demonstrates an adaptable implementation method when there is no ready-made template. This implementation method not only improves the flexibility of the embodiment of the present application in handling complex evaluation tasks, but also provides a reusable template and solution for similar needs that may arise in the future.

[0127] Reference Figure 7 According to some embodiments of the present application, step S103 collects multiple distribution qualification data of the target distribution entity based on the target collection template to obtain the target collection record, which may include, but is not limited to, the following steps:

[0128] Step S701, selecting target qualification data from a variety of dealer qualification data based on the indicator collection form of the target collection template;

[0129] Step S702, fill the target qualification data into the indicator collection form, and determine the indicator collection form after filling in the target qualification data as the indicator recording form;

[0130] Step S703: Integrate multiple indicator record forms of the target distribution entity to obtain target collection records.

[0131] In some embodiments of the present application, the process of how step S103 collects various distribution qualification data of the target distribution entity based on the target collection template and finally obtains the target collection record is described in detail.

[0132] In step S701 of some embodiments, the target qualification data is selected from a plurality of distribution qualification data using the indicator collection form in the target collection template as the basis for data collection. This step involves screening out the target qualification data corresponding to the indicator defined in the target collection template from a large amount of distribution qualification data corresponding to the distribution entity. These screened target qualification data may cover indicators of multiple aspects such as financial performance, market position, and credit status, and each indicator may be a key point in evaluating the qualifications of the distribution entity.

[0133] In step S702 of some embodiments, the selected target qualification data will be filled into the corresponding indicator collection form. This step is the core link in the data collection process, requiring accurate and detailed input or verification of data to ensure that each indicator is accurately reflected on the form. After completing the data filling, the original indicator collection form is transformed into an indicator recording form, which records the specific performance and data of the target distribution entity on a specific indicator.

[0134] In step S703 of some embodiments, the embodiments of the present application integrate multiple indicator record forms of the target distribution entity to form a comprehensive target collection record. This step involves aggregating the data scattered in different indicator record forms to build a comprehensive data set to comprehensively reflect the qualification status of the distribution entity. It should be understood that the target collection record finally formed will serve as an important basis for the qualification data evaluation of the distribution entity.

[0135] Through step S701 to step S703, the embodiment of the present application can systematically collect and integrate the key qualification data of the distribution entity, ensure the comprehensiveness and accuracy of the data, and provide a basis for the subsequent qualification data evaluation of the distribution entity, which not only improves the efficiency of data collection, but also enhances the reliability and effectiveness of the evaluation task.

[0136] In step S104 of some embodiments, the target distributor's distribution qualification data is evaluated according to the template collection record to obtain corresponding qualification data evaluation result information.

[0137] It should be noted that step S104 is the final link in the qualification data evaluation process, which involves in-depth data analysis and interpretation of the target distribution entity based on the template collection records to obtain detailed qualification data evaluation result information.

[0138] During the execution of step S104, the embodiment of the present application first uses the target acquisition records collected in step S103. These target acquisition records contain multi-dimensional data of the distribution entity, such as financial data, market performance, credit records, etc. The embodiment of the present application can fill these multi-dimensional data into the target acquisition template to clarify the template acquisition record. Among them, the target acquisition template defines the logic and method of data evaluation.

[0139] Furthermore, the embodiments of the present application can use various data analysis tools and techniques to conduct a comprehensive analysis of the collected template collection records to obtain the corresponding qualification data evaluation result information. This can include financial ratio analysis, market trend forecasting, credit score calculation, etc. Through these analyses, the embodiments of the present application can evaluate the debt repayment ability, profitability, operational efficiency and market competitiveness of the distribution entity.

[0140] In some more specific embodiments, step S104 can also conduct in-depth mining and model building on the template collection records to obtain corresponding qualification data evaluation result information. For example, the embodiments of the present application can use advanced analysis methods such as statistical models and machine learning algorithms to identify potential risk factors and opportunities from the template collection records. These qualification data evaluation result information will more accurately reflect the operating conditions and risk levels of the distribution entity.

[0141] The qualification data evaluation result information of some embodiments may include a comprehensive evaluation of the qualifications of the distributor, risk level classification, etc. It should be understood that the qualification data evaluation result information can be presented in the form of a report to intuitively present the qualification level of the distributor.

[0142] In some other embodiments, step S104 may include a review and verification process for the evaluation results. The embodiments of the present application need to ensure the accuracy and reliability of the evaluation results, which may include reconfirming the rationality of the distribution qualification data evaluation process and the authenticity of the source of the template collection records. The qualification data evaluation result information that has been strictly reviewed can more accurately reflect the qualification level of the distribution entity.

[0143] It should be understood that through step S104, the embodiment of the present application can obtain qualification data evaluation result information about the qualifications of the distribution entity. The template-configured implementation method reduces the development workload and can improve the efficiency of qualification data evaluation for the distribution entity.

[0144] Reference Figure 8 , according to some embodiments of the present application, each indicator record form corresponds to a qualification data evaluation dimension;

[0145] Step S104 evaluates the dealer qualification data of the target dealer according to the template collection record to obtain corresponding qualification data evaluation result information, which may include, but is not limited to, the following steps:

[0146] Step S801, determining corresponding multiple indicator record forms according to the template collection record;

[0147] Step S802: Based on each indicator record form and the association relationship between each indicator record form, a comprehensive evaluation is performed on the target distribution entity to obtain qualification data evaluation result information.

[0148] In some embodiments of the present application, the qualification data evaluation process is a systematic and multi-dimensional analysis work, in which each indicator record form is an important tool corresponding to a specific evaluation dimension. The key to this evaluation process is how to use these indicator record forms in combination to obtain comprehensive and in-depth evaluation result information.

[0149] In step S801 of some embodiments, it is necessary to determine multiple corresponding indicator record forms based on the template collection record. This step is the starting point of the distribution qualification data evaluation, requiring the embodiment of the present application to first identify which indicator record forms are related to the current evaluation task. These indicator record forms may cover multiple different evaluation dimensions such as financial performance, market position, credit record, and operational efficiency.

[0150] Step S802 of some embodiments is the core of the distribution qualification data evaluation, which requires the embodiments of the present application to conduct a comprehensive evaluation of the target distribution entity based on the determined indicator record forms and the associations between them. This step requires not only the analysis of the data on a single indicator record form, but also the understanding of the interactions and dependencies between the various indicator data recorded in different indicator record forms. For example, profitability may be affected by market competitiveness and operating costs, which are related to the operating model and financial processing methods. Ultimately, the purpose of step S802 is to generate qualification data evaluation result information, which integrates the data from each indicator record form and the analysis of the associations between them, and provides a comprehensive evaluation of the qualifications of the distribution entity. It should be understood that the evaluation result information may include quantitative and qualitative evaluations of the various qualifications of the distribution entity, risk level classification, etc.

[0151] In some embodiments, step S802 may use a variety of analysis methods and tools, including statistical analysis, trend analysis, risk assessment models, etc., to evaluate and interpret the various indicator record forms and the associations between the various indicator record forms. In addition, external factors may also be considered, such as market conditions, industry trends, regulatory changes, etc., which may affect the evaluation of distribution qualification data.

[0152] The embodiment of the present application shown by step S801 to step S802 can ensure that the evaluation of dealer qualification data is both comprehensive and in-depth, improve the accuracy and reliability of the qualification data evaluation for the dealer entity, and also improve the efficiency of the qualification data evaluation.

[0153] Reference Fig. 9 , Fig. 9 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes:

[0154] The processor 901 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application.

[0155] The memory 902 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 902 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 902, and the processor 901 calls and executes the qualification data evaluation method for the distribution entity in the embodiment of this application;

[0156] Input / output interface 903, used to implement information input and output;

[0157] Communication interface 904, used to realize communication interaction between the device and other devices, which can be realized through wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WI FI, Bluetooth, etc.);

[0158] A bus 905 that transmits information between various components of the device (e.g., the processor 901, the memory 902, the input / output interface 903, and the communication interface 904);

[0159] The processor 901 , the memory 902 , the input / output interface 903 and the communication interface 904 are connected to each other in communication within the device via a bus 905 .

[0160] The embodiment of the present application further provides a computer program product, which includes a computer program. A processor of a computer device reads and executes the computer program, so that the computer device executes and implements the above-mentioned qualification data evaluation method for a distribution entity.

[0161] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can, for example, be implemented in an order other than those illustrated or described herein. In addition, the terms "comprises" and "comprising" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0162] It should be understood that in the present disclosure, "at least one (item)" refers to one or more, and "plurality" refers to two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can represent: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, and may include, but is not limited to, any combination of single or plural items of the following steps. For example, at least one of a, b or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0163] It should be understood that in the description of the embodiments of the present application, the meaning of multiple (or multiple items) is more than two, greater than, less than, exceed, etc. are understood to not include the number, and above, below, within, etc. are understood to include the number.

[0164] In the several embodiments provided in the present disclosure, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0165] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0166] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0167] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present disclosure is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and may include, but is not limited to, the following steps and several instructions to enable a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present disclosure. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store program codes.

[0168] It should also be understood that the various implementations provided in the embodiments of the present application can be combined arbitrarily to achieve different technical effects.

[0169] The above is a specific description of the implementation methods of the present disclosure, but the present disclosure is not limited to the above implementation methods. Technical personnel familiar with the art can also make various equivalent modifications or substitutions without violating the spirit of the present disclosure. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present disclosure.

Claims

1. A method for evaluating the qualification data of a distributor, characterized in that: include: Obtain the qualification data assessment requirements for the target distributor; Based on the qualification data evaluation requirement, a template query is performed in a preset qualification evaluation database to obtain a target acquisition template that matches the qualification data evaluation requirement; Based on the target collection template, multiple distribution qualification data of the target distribution entity are collected to obtain a target collection record; The target distributor's distribution qualification data is evaluated according to the template collection record to obtain corresponding qualification data evaluation result information.

2. The method according to claim 1, characterized in that Before performing a template query in a preset qualification evaluation database based on the qualification data evaluation requirement to obtain a target acquisition template matching the qualification data evaluation requirement, the method includes: Determine the preset assessment requirements corresponding to various types of dealer qualifications; For each of the preset assessment requirements, configure a corresponding distribution qualification collection template; The step of performing a template query in a preset qualification evaluation database based on the qualification data evaluation requirement to obtain a target acquisition template matching the qualification data evaluation requirement includes: Based on the qualification data evaluation requirement, a template query is performed in the qualification evaluation database, and the target collection template matching the qualification data evaluation requirement is determined from a plurality of the dealer qualification collection templates.

3. The method according to claim 2, characterized in that For each of the preset evaluation requirements, a corresponding distribution qualification collection template is configured, including: Obtain various distribution indicator attribute definitions; Conducting a demand assessment on the preset assessment requirements to obtain multiple qualification data assessment dimensions; Based on the multiple distribution indicator attribute definitions, a corresponding indicator collection form is configured for each qualification data evaluation dimension; The indicator collection forms corresponding to each qualification data evaluation dimension are integrated to obtain the distribution qualification collection template.

4. The method according to claim 3, characterized in that The acquisition of multiple distribution indicator attribute definitions includes: For each preset distribution benchmark indicator, configure the indicator data type and the indicator verification rule corresponding to the indicator data type; A distribution indicator attribute definition is generated according to the indicator data type and the indicator verification rule corresponding to the indicator data type.

5. The method according to claim 3, characterized in that: The target collection template is used to collect various distribution qualification data of the target distribution entity to obtain a target collection record, including: Based on the indicator collection form of the target collection template, selecting target qualification data from a plurality of distribution qualification data; Filling the target qualification data into the indicator collection form, and determining the indicator collection form after filling in the target qualification data as the indicator recording form; The multiple indicator record forms of the target distribution entity are integrated to obtain a target collection record.

6. The method according to claim 5, characterized in that Each of the indicator record forms corresponds to one of the qualification data evaluation dimensions; The step of evaluating the target distributor's distribution qualification data according to the template collection record to obtain corresponding qualification data evaluation result information includes: Determine the corresponding multiple indicator record forms according to the template collection record; Based on each of the indicator record forms and the associations between the indicator record forms, a comprehensive evaluation is performed on the target distribution entity to obtain the qualification data evaluation result information.

7. The method according to claim 1, characterized in that After performing a template query in a preset qualification evaluation database based on the qualification data evaluation requirement, the method further includes: In response to the target acquisition template not matching the qualification data evaluation requirement not existing in the qualification evaluation database, querying historical data in the qualification evaluation database based on the qualification data evaluation requirement to obtain historical evaluation records; The historical evaluation record is determined as the qualification data evaluation result information.

8. The method according to claim 7, characterized in that After querying historical data in the qualification evaluation database based on the qualification data evaluation requirement, the method further includes: In response to the absence of a historical assessment record matching the qualification data assessment requirement in the qualification assessment database, performing a form traversal query in the qualification assessment database based on the qualification data assessment requirement to obtain a plurality of indicator collection forms associated with the qualification data assessment requirement; The indicator collection forms are integrated to generate the target collection template that matches the qualification data evaluation requirements.

9. An electronic device, characterized in that: include: A memory and a processor, wherein the memory stores a computer program, and the processor implements the qualification data evaluation method for a distribution entity as described in any one of claims 1 to 8 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The storage medium stores a program, and the program is executed by a processor to implement the qualification data evaluation method for a distribution entity as described in any one of claims 1 to 8.

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