Template configuration financial report generation method based on risk detection model
Through the template configuration financial report generation method based on the risk detection model, the problem of time-consuming and inflexible allocation of traditional financial report generation methods is solved, and the flexible design and risk disclosure of financial reports are realized, and efficiency and accuracy are improved.
Patent Information
- Application Number
- CN202510113563.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-24
- Publication Date
- 2025-06-03
AI Technical Summary
The traditional financial report generation method requires a lot of time to manually obtain and fill in data, and cannot be flexibly configured and cannot effectively reveal potential risks.
A template-configured financial report generation method based on risk detection model is adopted. By selecting and combining modules from the preset component library, financial data is automatically obtained, and risk detection rules are implemented to generate a preliminary report with risk warnings.
It realizes flexible design and personalization of financial reports, improves development efficiency, reduces repetitive labor costs, can automatically obtain financial data and intuitively display potential risks, and makes up for the shortcomings of traditional reports that cannot reveal risks.
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Figure CN120087348A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data analysis. Specifically, it relates to a method for generating a template-configured financial report based on a risk detection model. Background Art
[0002] In financial operations, it is often necessary to fill in and view a large number of reports related to financial data. These reports usually contain a large amount of financial data, and the acquisition of data in the reports requires a large amount of time. Currently, the report documents are basically in paper form, and business personnel need to manually obtain data information and fill in the reports manually. The report forms are fixed and cannot be flexibly configured according to the business forms.
[0003] According to the required report form, select the required form from the existing modules. If there is no matching module, a new module can be created and saved in the module library. The data sources of the field data can be configured in the module, and the corresponding data can be automatically obtained according to the data sources. The fields that need to be filled in and confirmed manually can be configured in the module and filled in the report.
[0004] Select all the required modules to form a report template, including the modules in the template that need to automatically obtain data and the modules that need to be filled in manually. When generating a report, the template will be automatically matched according to the configured parameters (such as customer type, industry type, usage scenario, etc.), and the data required in the template (such as customer information, industrial and commercial information, judicial information, etc.) will be obtained. Then, the business personnel can fill in the parts that need to be filled in manually and confirmed manually to generate the final report.
[0005] With the continuous development of science and technology, the way people handle business is becoming more and more online-oriented, and higher requirements are put forward for data acquisition and information integration. The traditional way of manually filling in reports requires a large amount of time to obtain data and cannot guarantee the accuracy of the data, consuming a large amount of time cost and labor cost.
[0006] Regarding the problems in the related art, no effective solution has been proposed yet. Summary of the Invention
[0007] Regarding the problems in the related art, the present invention proposes a method for generating a template-configured financial report based on a risk detection model to overcome the above-mentioned technical problems existing in the existing related technologies.
[0008] For this purpose, the specific technical solution adopted by the present invention is as follows:
[0009] A method for generating a template-configured financial report based on a risk detection model, the financial report generation method includes the following steps:
[0010] S1. Select the required components from the preset component library, freely combine and adjust the layout to generate a module, and store it in the module library.
[0011] S2. Configure the data source for the fields in the module, and configure the data type for the fields that need to automatically obtain data information.
[0012] S3. Select the matching modules according to different business scenarios, and combine several selected modules into a template to form a report style that meets the requirements.
[0013] S4. Automatically obtain the corresponding financial data of the customer for analysis and processing according to the fields and data sources configured in the template, fill the required data into the report, and at the same time execute the risk detection rules to generate a preliminary report with risk warnings.
[0014] S5. Based on the preliminary report, form a complete report by combining manual filling of supplementary instructions and automatically generated data, and support PDF format download and sharing.
[0015] Furthermore, selecting the required components from the preset component library, freely combining and adjusting the layout to generate a new module, and storing it in the module library includes the following steps:
[0016] S11. Select the required components from the preset component library, drag the required components to the module design area, and adjust the component order and layout according to the requirements to complete the preliminary design of the module.
[0017] S12. Confirm the component layout and style of the module to ensure that it meets the design requirements. After clicking the confirmation, generate a new module and store the new module in the module library.
[0018] Furthermore, configuring the data source for the fields in the module, and configuring the data type for the fields that need to automatically obtain data information includes the following steps:
[0019] S21. Sort and classify the data sources, configure different data sources according to the data types, and integrate industry standard data to enrich the data in the data source library.
[0020] S22. Perform field configuration on the components in the module, mark the acquisition method of the component data source, and based on the acquisition method, set different editing permissions for the data.
[0021] Furthermore, the acquisition methods include automatic acquisition and manual filling.
[0022] Furthermore, performing field configuration on the components in the module, marking the acquisition method of the component data source, and based on the acquisition method, setting different editing permissions for the data includes the following steps:
[0023] S221. If the data source of the marked component is automatically obtained, select the required data information from the existing data sources in the data source library, configure a transaction code for the module, and dynamically query the data through the transaction code;
[0024] S222. If the data source of the marked component is filled in manually, there is no need to automatically obtain the data, and the user fills in the data information;
[0025] S223. For the data source of the component marked as automatically obtained, restrict the editing permission of ordinary users, and only allow specific administrators to modify the data; for the data source of the component marked as filled in manually, all users are allowed to edit the data content.
[0026] Furthermore, selecting a matching module according to different business scenarios and combining several selected modules into a template to form a report style that meets the requirements includes the following steps:
[0027] S31. According to the requirements of the business scenario, select a matching module style from the module library, drag the required modules to the template design area, adjust the order and layout of the modules and click to confirm to generate a new template, and at the same time store the modules in the template and their order in the database;
[0028] S32. When saving the report template, add a scenario type identifier to the template and store it in the database. When generating a new report, automatically match the template according to the type of the report.
[0029] Furthermore, when saving the report template, adding a scenario type identifier to the template and storing it in the database, and automatically matching the template according to the type of the report when generating a new report includes the following steps:
[0030] S321. Obtain the modules generated in step S1 for sorting, and through sorting and analysis, form a module library;
[0031] S322. Based on the module library, according to the report requirements, select the required module styles from the module library, add the selected module styles to the template, and adjust the arrangement order and overall layout of the modules according to the key factors of the content;
[0032] S323. After completing the selection and layout of the modules, configure the corresponding scenario type identifier for the template, and store the style design of the template, the arrangement order of the modules and the scenario type identifier in the database;
[0033] S324. When generating a new report, preview the template to check whether it meets the expectations. If not, return to step S322 to re-adjust the arrangement order and overall layout of the modules; if it meets the requirements, click to save and save the template style to the database for use when generating reports.
[0034] Furthermore, according to the fields and data sources configured in the template, the corresponding financial data of the customer is automatically obtained for analysis and processing, and the required data is filled into the report. At the same time, the risk detection rules are executed to generate a preliminary report with risk warnings, including the following steps:
[0035] S41: Automatically match the template configured in the database according to the correspondence between the customer type, industry type and scenario, and determine the template style to be used;
[0036] S42: Based on the determined template style, according to the customer information for creating the report and the data automatically obtained from the data sources configured in the module, the names of the automatically obtained data fields are made to correspond to the field names defined in the module, and the data is filled into the corresponding components in the report;
[0037] S43: Configure a corresponding risk detection model for the template, and based on the risk detection model of the template, query the required risk data, perform calculations and analysis, and generate a preliminary report with risk warnings.
[0038] Furthermore, configure a corresponding risk detection model for the template, and based on the risk detection model of the template, query the required risk data, perform calculations and analysis, and generate a preliminary report with risk warnings, including the following steps:
[0039] S431: Integrate internal and external data sources, collect internal and external data according to the template requirements, and use data cleaning and transformation technologies to process the collected internal and external data to ensure data quality and consistency;
[0040] S432: Combine the practical experience of the financial industry and data mining technologies to build a risk detection model, identify potential risks in the data, and formulate risk detection rules;
[0041] S433: Based on the formulated risk detection rules, mark the data sources, and configure the formulated risk detection rules in the database, marking the data information required by the risk detection rules;
[0042] S434: When generating the report, query the relevant data according to the risk detection model configured in the template, perform calculations and analysis, prompt the risk information that hits the risk detection rules, and embed the prompted risk information into the preliminary report to intuitively display potential risks.
[0043] Furthermore, when generating the report, query the relevant data according to the risk detection model configured in the template, perform calculations and analysis, prompt the risk information that hits the risk detection rules, and embed the prompted risk information into the preliminary report to intuitively display potential risks, including the following steps:
[0044] S4341. When generating a report, according to the risk detection model configured in the template, read the data source information in the database, and dynamically obtain customer information and processed financial data;
[0045] S4342. Obtain the risk detection rule information configured in the template in the database, and run the risk detection model in combination with the obtained data to calculate and analyze the data;
[0046] S4343. Fill the output result of the risk detection model and the triggered risk prompt information into the corresponding fields in the report, and embed the prompt information into the generated preliminary report to intuitively display the potential risks of the customer.
[0047] The beneficial effects of the present invention are as follows:
[0048] 1. By selecting modules and combining them into a template, the present invention meets the diverse requirements of financial reports in different business scenarios, realizes the flexibility and personalization of report design, improves development efficiency, reduces the cost of repetitive labor, and accurately configures the data sources and data types of module fields, enabling automatic acquisition of required financial data from internal and external data sources, avoiding errors caused by manual input. By executing the risk detection model, dynamically analyzing data according to the configured risk rules, and generating a preliminary report with risk prompts, it can intuitively reveal potential risks, thus making up for the shortcoming of traditional financial reports that only display basic business information and cannot reveal risks.
[0049] 2. By configuring a risk detection model for the template, the financial report of the present invention can not only display basic business data, but also identify potential risks from the data, generate a preliminary report with risk prompts, and provide intuitive risk information for users. The risk detection model uses data mining technology combined with actual business experience, and through flexibly configured risk detection rules, provides diverse risk identification capabilities for different industries and customer scenarios, greatly improving the intelligence level of the report. Through risk prompts, it helps users identify hidden business risks, contributes to reducing potential losses in decision-making, dynamically queries data and performs analysis according to the configured risk detection rules, embeds the risk information that hits the rules into the report, and prompts users in an intuitive way, enabling users to quickly understand the potential problems hidden in the report, and effectively improving the efficiency and accuracy of financial business decisions. Description of the Drawings
[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.
[0051] Figure 1 It is a flowchart of a method for generating a template-configured financial report based on a risk detection model according to an embodiment of the present invention;
[0052] Figure 2 It is a flowchart of a risk detection model according to an embodiment of the present invention. Detailed implementation manners
[0053] To further illustrate each embodiment, the present invention provides drawings. These drawings are part of the disclosure of the present invention, mainly used to illustrate the embodiments, and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, those of ordinary skill in the art should be able to understand other possible implementation manners and the advantages of the present invention.
[0054] According to an embodiment of the present invention, a method for generating a template-configured financial report based on a risk detection model is provided.
[0055] Now, the present invention will be further described in conjunction with the drawings and specific implementation manners. As Figure 1 shown, the method for generating a template-configured financial report based on a risk detection model according to an embodiment of the present invention includes the following steps:
[0056] S1. Select the required components from a preset component library, freely combine and adjust the layout to generate a module, and store it in the module library;
[0057] S2. Configure data sources for the fields in the module, and configure data types for the fields that need to automatically obtain data information;
[0058] S3. Select the matching modules according to different business scenarios, and combine several selected modules into a template to form a report style that meets the requirements;
[0059] S4. Automatically obtain the corresponding financial data of the customer for analysis and processing according to the fields and data sources configured in the template, fill the required data into the report, and at the same time execute risk detection rules to generate a preliminary report with risk warnings;
[0060] S5. Based on the preliminary report, form a complete report by combining manual filling of supplementary explanations and automatically generated data, and support PDF format download and sharing.
[0061] It should be explained that the method for generating the financial report can freely configure the module style, select the required functions from the component library to form a new module. The components are implemented based on the front-end technology VUE, including:
[0062] 1) Design a component library that contains common styles and functions on the page, mainly including input boxes, text areas, radio buttons, check boxes, tables, image previews, file uploads, etc.
[0063] 2) Select the required components from the component library, freely combine the selected components and adjust the layout of the components according to the requirements to generate new modules, and store them in the module library.
[0064] 3) Configure data sources for the fields in the module. If the fields need to automatically obtain data information, data types need to be configured for the fields, such as industrial and commercial information data, judicial information data, credit information data, etc. Subsequently, corresponding data can be obtained according to the data types.
[0065] 4) You can select suitable modules according to different business scenarios, combine multiple selected modules into a template to form a report style that meets the requirements. Which modules are included in the template can be modified later to generate a new template style to meet the needs of the rapid development of business scenarios.
[0066] 5) Select a customer to generate a financial report, and the corresponding template can be automatically matched according to information such as customer type and industry type to obtain the financial report style template of this customer.
[0067] 6) After obtaining the report template, the corresponding financial data can be automatically obtained according to the data source information configured for the fields in the template, and the data can be analyzed and processed, and the data required for the report can be filled into the report.
[0068] 7) Corresponding risk detection rules can be configured for the template, such as the asset - liability ratio is greater than 50%. When generating the report, the risk detection rules will be executed to determine whether the customer triggers the rules. If triggered, corresponding prompts will be given in the report.
[0069] 8) The report supports the online filling function. Corresponding information can be filled in the report, such as the suggestions and instructions of the user, etc., and combined with the automatically obtained data to generate a report.
[0070] 9) The report includes a function to add watermarks, which can enhance the security of the report. The watermark should include the user's name and ID number to prevent information leakage.
[0071] 10) The report supports downloading in PDF format for convenient offline viewing of report data.
[0072] In this alternative embodiment, selecting the required components from the preset component library, freely combining and adjusting the layout to generate new modules, and storing them in the module library include the following steps:
[0073] S11. Select the required components from the preset component library, drag the required components to the module design area, and adjust the component order and layout according to requirements to complete the preliminary design of the module;
[0074] S12. Confirm the component layout and style of the module to ensure compliance with the design requirements. After clicking the confirmation, generate a new module and store the new module in the module library.
[0075] In this alternative embodiment, configuring a data source for the fields in the module and configuring the data type for the fields that need to automatically obtain data information includes the following steps:
[0076] S21. Sort and classify the data sources, configure different data sources according to the data types, and integrate industry standard data to enrich the data in the data source library;
[0077] S22. Perform field configuration on the components in the module, mark the acquisition method of the component data source, and based on the acquisition method, set different editing permissions for the data.
[0078] It should be noted that select the required components in the component library according to needs, such as input boxes, buttons, tables, etc., drag the required components to the module. After selecting the required components, you can drag the components in the module to adjust the component order. After determining the component style, click the confirmation button to generate a new module.
[0079] In this alternative embodiment, the acquisition methods include automatic acquisition and manual filling.
[0080] In this alternative embodiment, performing field configuration on the components in the module, marking the acquisition method of the component data source, and based on the acquisition method, setting different editing permissions for the data includes the following steps:
[0081] S221. If the component data source is marked as automatic acquisition, select the required data information from the existing data sources in the data source library, configure a transaction code for the module, and dynamically query the data through the transaction code;
[0082] S222. If the component data source is marked as manual filling, there is no need to automatically obtain data, and the user fills in the data information;
[0083] S223. For the component data source marked as automatic acquisition, restrict the editing permissions of ordinary users and only allow specific administrators to modify the data; for the component data source marked as manual filling, all users are allowed to edit the data content.
[0084] It should be noted that the system data sources are sorted and classified (different data sources are configured according to data types. For example, customer basic information data is obtained from internal data sources, and industrial and commercial data is obtained from external data sources). Combining internal and external systems, integrating industry standard data such as business systems, credit investigation data, industry and commerce, justice, and taxation to enrich the data in the data source library. Field settings are performed on the components in the module. First, mark whether the component data source needs to be obtained by the system or filled in manually. If it is obtained by the system, the required data information needs to be selected from the existing data sources in the data source library, such as the customer name in industrial and commercial information, judicial information, etc., and a transaction code is configured for the module. Subsequently, data will be queried through the transaction code. If it is filled in manually, there is no need for the system (referring to the system using the report generation method of the present invention, that is, the data that can be automatically obtained using the report generation method of the present invention) to obtain data, and the user fills in the data information by himself. Different editing permissions are set for the data obtained by the system and filled in manually. The data obtained by the system is not allowed to be changed by ordinary users, and only specific administrator permissions can change the content; for the data filled in manually, all users can change the data.
[0085] In this alternative embodiment, matching modules are selected according to different business scenarios, and several selected modules are combined into a template to form a report style that meets the requirements, including the following steps:
[0086] S31. According to the requirements of the business scenario, select a matching module style from the module library, drag the required modules to the template design area, adjust the order and layout of the modules and click to confirm to generate a new template, and at the same time store the modules in the template and their order in the database;
[0087] S32. When saving the report template, add a scenario type identifier to the template and store it in the database. When generating a new report, automatically match the template according to the type of the report.
[0088] It should be noted that the user selects the required module style in the module library, drags the required modules into the template, and adjusts the module order to combine into a template. After selecting the required modules and adjusting the order, click to confirm to form a new template. Subsequently, the modules included in each template and the order of the modules will be stored in the database, and a scenario type that triggers the template will be configured for the template (when saving the report template, add a scenario type identifier to the template and store it in the database. When generating a new financial report, automatically match the template according to the type of the financial report, such as a screening report, a monitoring report, etc.).
[0089] In this alternative embodiment, when saving the report template, adding a scenario type identifier to the template and storing it in the database, and automatically matching the template according to the type of the report when generating a new report includes the following steps:
[0090] S321. Organize the modules generated in step S1, and through sorting and analysis, form a module library.
[0091] S322. Based on the module library, according to the report requirements, select the required module styles from the module library, add the selected module styles to the template, and adjust the arrangement order and overall layout of the modules according to the key factors of the content.
[0092] S323. After completing the selection and layout of the modules, configure the corresponding scene type identifier for the template, and store the style design of the template, the arrangement order of the modules, and the scene type identifier in the database.
[0093] S324. When generating a new report, preview the template to check if it meets the expectations. If not, return to step S322 to re-adjust the arrangement order and overall layout of the modules. If it meets the requirements, click Save to save the template style to the database for use when generating reports.
[0094] It should be noted that the steps for generating a report template include:
[0095] Step 1. Build a module library. Collect and organize the modules generated in step S1. These modules contain different functional styles. Through sorting and analysis, form a module library with rich content.
[0096] Step 2. Select modules. In the already built module library, according to the report requirements, select the required module styles from the module library and add the module styles to a new template to achieve the flexibility and personalization of template design.
[0097] Step 3. Optimize the module order and layout. After adding the required modules to the template, adjust the arrangement order and overall layout of the modules according to factors such as the importance and aesthetics of the content.
[0098] Step 4. Generate and preview the template report. After completing the selection, dragging, and layout of the modules, click the Generate button to quickly generate a new template report according to the modules and layout set in the above steps. After generating the new report template, preview the template to check if it meets the expectations and check the integrity and standardization of the content. If it does not meet the requirements, return to step 3 above to add or delete modules and adjust the layout again. If it meets the requirements, click Save to save the template style to the database for use when generating reports.
[0099] In this alternative embodiment, according to the fields and data sources configured in the template, automatically obtain the corresponding financial data of the customer for analysis and processing, fill the required data into the report, and at the same time execute the risk detection rules. The steps for generating a preliminary report with risk warnings include:
[0100] S41. Automatically match the templates configured in the database according to the corresponding relationship between the customer type, industry type and the scenario, and determine the template style to be used;
[0101] S42. Based on the determined template style, according to the customer information for creating the report and the data automatically obtained from the data sources configured in the module, make the field names of the automatically obtained data correspond to the field names defined in the module, and fill the data into the corresponding components in the report;
[0102] S43. Configure a corresponding risk detection model for the template, and based on the risk detection model of the template, query the required risk data, perform calculations and analyses, and generate a preliminary report with risk warnings.
[0103] It should be explained that when selecting a customer to generate a financial report, the corresponding template can be automatically matched according to information such as the customer type and industry type to obtain the financial report style template of this customer; configure the corresponding relationship between the customer type, industry type and the scenario, and then trigger the scenario information according to the template configured in the database to determine which template to use. After obtaining the report template, the corresponding financial data can be automatically obtained according to the data source information configured in the template fields, and the data can be analyzed and processed, and the data required for the report can be filled into the report; after obtaining the template, query the data from the peripheral system according to the customer information for creating the report and the data sources configured in the module, and make the field names of the queried data correspond to the field names defined in the module, then the data can be filled into the corresponding components in the report. A corresponding risk detection rule can be configured for the template, such as the asset-liability ratio being greater than 50%, etc. When generating the report, the risk detection rule will be executed to determine whether the customer triggers the rule. If it is triggered, a corresponding prompt will be given in the report; configure the corresponding relationship between the risk detection rule and the template. For example, if template 1 corresponds to 3 rules, then after triggering template 1, the data required in the rules will be queried, and calculations and analyses will be performed according to the rules. For example, query the customer's asset-liability ratio from the peripheral system and calculate whether it exceeds the limit. If it meets the rule, then this rule is hit, and the risk warning "The asset-liability ratio of this customer is too high. Please choose carefully" will be triggered. Risk detection can help users better understand the customer information under investigation. When some risks are involved, it can remind users to choose carefully and effectively avoid risks. The report supports the online filling function, and corresponding information such as the user's suggestions and explanations can be filled in the report, and combined with the automatically obtained data to generate a report. The report includes the function of adding watermarks, which can enhance the security of the report. The watermark should include the user's name and ID number to prevent information leakage.
[0104] In this alternative embodiment, configuring a corresponding risk detection model for the template, and based on the risk detection model of the template, querying the required risk data, performing calculations and analyses, and generating a preliminary report with risk warnings includes the following steps:
[0105] S431. Integrate internal and external data sources, collect internal and external data according to template requirements, and process the collected internal and external data using data cleaning and transformation technologies (such as data merging) to ensure data quality and consistency;
[0106] S432. Combine the practical experience of the financial industry and data mining technologies (such as decision tree algorithms) to build a risk detection model, identify potential risks in the data, and formulate risk detection rules;
[0107] S433. Based on the formulated risk detection rules, label the data sources, configure the formulated risk detection rules in the database, and label the data information required by the risk detection rules;
[0108] S434. When generating a report, query relevant data according to the risk detection model configured in the template, perform calculations and analyses, prompt the risk information that hits the risk detection rules, and embed the prompted risk information into the preliminary report to visually display potential risks.
[0109] It should be noted that most existing financial reports are limited to presenting basic business information and lack the ability to directly reveal the risk status. In view of this, the present invention embeds a risk detection model in the financial report, and risk information can be intuitively obtained from the report, as Figure 2 shown. The specific process is as follows:
[0110] Step 1. Data collection and preprocessing: Collect internal and external data. Collect transaction data, customer information, credit information, etc. from internal data sources, and collect public market information, social media data, etc. from external data sources. Integrate internal and external data, and use big data technologies to clean and transform the data, collect valid information, and ensure the quality and consistency of the data to lay a foundation for subsequent analyses.
[0111] Step 2. Build a risk detection model: Summarize the advanced practical experience of excellent financial business personnel, combine data mining and analysis technologies to build a risk detection model, identify potential risks in the data, and formulate flexible and diverse risk detection rules. For example, obtain industrial and commercial change information from external data sources to judge whether the changes are frequent; obtain financial report data from internal data sources and analyze the tax and financial difference rates of the reports. The rules can be flexibly adjusted and customized according to needs to meet different risk management requirements.
[0112] Step 3. Configure data sources: Determine the required data according to the formulated rules, label the data sources, such as internal data sources and external data sources, configure the formulated rules in the database, and label the data information required by this rule.
[0113] Step 4: Execute the risk detection model when generating the report, and prompt the triggered risk detection information in the report (i.e., input the specified risk detection rules and data information, and execute the risk detection model).
[0114] Step 5: Output the risk detection results and view the risk information.
[0115] In this alternative embodiment, when generating the report, query relevant data according to the risk detection model configured in the template, perform calculations and analysis, prompt the risk information that hits the risk detection rules, and embed the prompted risk information in the preliminary report to intuitively display potential risks, including the following steps:
[0116] S4341: When generating the report, according to the risk detection model configured in the template, read the data source information in the database, and dynamically obtain customer information and processed financial data;
[0117] S4342: Obtain the risk detection rule information configured in the template in the database, and run the risk detection model in combination with the obtained data to perform calculations and analysis on the data;
[0118] S4343: Fill the output result of the risk detection model and the triggered risk prompt information into the corresponding fields in the report, and embed the prompt information in the generated preliminary report to intuitively display the potential risks of the customer.
[0119] It should be explained that when executing the risk detection rules: input the customer information and processed financial data into the model, automatically judge whether there are corresponding risks according to the set rules and data information, and output the judgment result after execution, which is displayed in the report. It includes:
[0120] 1) Read the data source information configured in the database to obtain the corresponding data.
[0121] 2) Obtain the rule information configured in the database, and run the risk detection rule model in combination with the obtained data.
[0122] 3) Obtain the output result of the risk detection model, and fill the triggered risk information in the report.
[0123] Embedding the risk detection model in the report can intuitively see potential risk information from the report, and better help business personnel avoid risks.
[0124] In summary, by means of the above technical solution of the present invention, the present invention configures a risk detection model for the template, enabling the financial report to not only display basic business data, but also identify potential risks from the data, generate a preliminary report with risk warnings, and provide intuitive risk information for users. The risk detection model utilizes data mining technology combined with actual business experience, and through flexibly configured risk detection rules, provides diverse risk identification capabilities for different industries and customer scenarios, greatly enhancing the intelligence level of the report. Through risk warnings, it helps users identify hidden business risks, contributing to reducing potential losses in decision-making. According to the configured risk detection rules, data is dynamically queried and analyzed, and the risk information that hits the rules is embedded in the report and presented to users in an intuitive manner, enabling users to quickly understand the potential problems hidden in the report and effectively improving the efficiency and accuracy of financial business decision-making.
[0125] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.
Claims
1. A template-configured financial report generation method based on a risk detection model, characterized in that: The financial report generation method comprises the following steps: S1. Select the required components from the preset component library, freely combine and adjust the layout to generate modules, and store them in the module library; S2. Configure data sources for fields in the module, and configure data types for fields that need to automatically obtain data information; S3. Select matching modules according to different business scenarios, and combine several selected modules into templates to form a report style that meets the requirements; S4. Automatically obtain the customer's corresponding financial data for analysis and processing based on the fields and data sources configured in the template, and fill the required data into the report. At the same time, execute the risk detection rules to generate a preliminary report with risk warnings; S5. Based on the preliminary report, a complete report is formed by combining manually filled supplementary instructions with automatically generated data, and supports downloading and sharing in PDF format.
2. A template-configured financial report generation method based on a risk detection model according to claim 1, characterized in that: The step of selecting required components from a preset component library, freely combining and adjusting the layout to generate a new module, and storing the module library includes the following steps: S11. Select the required components from the preset component library, drag the required components to the module design area, and adjust the component order and layout according to requirements to complete the preliminary design of the module; S12. Confirm the component layout and style of the module to ensure that they meet the design requirements. Click OK to generate a new module and save the new module into the module library.
3. A template-configured financial report generation method based on a risk detection model according to claim 1, characterized in that: The steps of configuring a data source for a field in a module and configuring a data type for a field that needs to automatically obtain data information include the following steps: S21. Sort and classify data sources, configure different data sources according to data types, and integrate industry standard data to enrich the data in the data source library; S22. Field configuration is performed on the components in the module, and the acquisition method of the component data source is marked, and different editing permissions are set for the data based on the acquisition method.
4. A template-configured financial report generation method based on a risk detection model according to claim 3, characterized in that: The acquisition method includes automatic acquisition and manual filling.
5. A template-configured financial report generation method based on a risk detection model according to claim 4, characterized in that: The field configuration of the components in the module, marking the acquisition method of the component data source, and setting different editing permissions for the data based on the acquisition method include the following steps: S221. If the data source of the marking component is automatically acquired, select the required data information from the existing data sources in the data source library, configure the transaction code for the module, and dynamically query the data through the transaction code; S222. If the data source of the tag component is filled in manually, there is no need to automatically obtain data, and the user fills in the data information; S223. For component data sources marked as automatically acquired, the editing permissions of ordinary users are restricted, and only specific administrators are allowed to modify the data; for component data sources marked as manually filled, all users are allowed to edit the data content.
6. A template-configured financial report generation method based on a risk detection model according to claim 1, characterized in that: The method of selecting matching modules according to different business scenarios and combining the selected modules into a template to form a report style that meets the requirements includes the following steps: S31. According to the business scenario requirements, select a matching module style from the module library, drag the required module to the template design area, adjust the order and layout of the modules and click OK to generate a new template, and store the modules and their order in the template in the database; S32. When saving the report template, add a scenario type identifier to the template and store it in a database. When a new report is generated, the template is automatically matched according to the report type.
7. A template-configured financial report generation method based on a risk detection model according to claim 6, characterized in that: When saving the report template, adding a scenario type identifier to the template and storing it in a database, when generating a new report, automatically matching the template according to the report type includes the following steps: S321, obtaining the modules generated in step S1, organizing them, and forming a module library through organization and analysis; S322. Based on the module library and according to the report requirements, select the required module style from the module library, add the selected module style to the template, and adjust the arrangement order and overall layout of the modules according to the key factors of the content; S323, after completing the selection and layout of the modules, configuring the corresponding scene type identifier for the template, and storing the style design of the template, the arrangement order of the modules and the scene type identifier in the database; S324. When generating a new report, preview the template to see if it meets expectations. If not, return to step S322 to readjust the arrangement order and overall layout of the modules. If it meets the requirements, click Save to save the template style to the database for use when generating the report.
8. The template-configured financial report generation method based on the risk detection model according to claim 1 is characterized in that: The process of automatically acquiring the corresponding financial data of the customer for analysis and processing according to the fields and data sources configured in the template, and filling the required data into the report, while executing the risk detection rules, and generating a preliminary report with risk warnings includes the following steps: S41. Automatically match the template configured in the database according to the correspondence between the customer type, industry type and scenario, and determine the template style to be used; S42, based on the determined template style, according to the customer information of the report creation and the data automatically obtained from the data source configured in the module, the automatically obtained data field names are matched with the field names defined in the module, and the data is filled into the corresponding components in the report; S43. Configure a corresponding risk detection model for the template, and based on the risk detection model of the template, query the required risk data, perform calculations and analysis, and generate a preliminary report with risk warnings.
9. A template-configured financial report generation method based on a risk detection model according to claim 8, characterized in that: The configuration of the corresponding risk detection model for the template, querying the required risk data based on the risk detection model of the template, and performing calculation and analysis to generate a preliminary report with risk warnings includes the following steps: S431. Integrate internal and external data sources, collect internal and external data according to template requirements, and use data cleaning and conversion technology to process the collected internal and external data to ensure data quality and consistency; S432. Combining practical experience in the financial industry with data mining technology, build a risk detection model, identify potential risks in the data, and formulate risk detection rules; S433. Based on the formulated risk detection rules, mark the data source, configure the formulated risk detection rules in the database, and mark the data information required by the risk detection rules; S434. When generating a report, query relevant data according to the risk detection model configured in the template, perform calculations and analysis, prompt risk information that hits the risk detection rules, and embed the prompted risk information into the preliminary report to intuitively display potential risks.
10. A template-configured financial report generation method based on a risk detection model according to claim 9, characterized in that: When generating a report, query relevant data according to the risk detection model configured in the template, perform calculation and analysis, prompt risk information that hits the risk detection rule, and embed the prompted risk information in the preliminary report to intuitively display potential risks, including the following steps: S4341. When generating a report, read the data source information in the database according to the risk detection model configured in the template, and dynamically obtain customer information and processed financial data; S4342, obtaining risk detection rule information configured in the template in the database, and running the risk detection model based on the obtained data to calculate and analyze the data; S4343. Fill the output results of the risk detection model and the triggered risk warning information into the corresponding fields in the report, and embed the warning information into the generated preliminary report to intuitively display the customer's potential risks.
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Technical economic risk assessment evidence-based report generation method based on open source intelligence
CN120931404A