CN114723544A

CN114723544A - Financial report data processing method, device, equipment, medium and program product

Info

Publication number: CN114723544A
Application number: CN202210484967.6A
Authority: CN
Inventors: 巫小兰; 朱富荣; 庄佳和; 林宜领; 傅莉莉; 赵琦
Original assignee: CCB Finetech Co Ltd
Current assignee: CCB Finetech Co Ltd
Priority date: 2022-05-06
Filing date: 2022-05-06
Publication date: 2022-07-08
Anticipated expiration: 2042-05-06
Also published as: CN114723544B

Abstract

The application discloses a financial and newspaper data processing method, device, equipment, medium and program product. The method comprises the steps that a target mechanism is determined in response to selection input of a user for selecting a control of the target mechanism from controls of preset mechanisms of a first preset interface; responding to selection input of a control for selecting a target financial report data processing scene from controls of preset financial report data processing scenes of a second preset interface by a user, and determining the target financial report data processing scene; performing index analysis processing on the target financial report data based on an index analysis rule corresponding to the target financial report data processing scene to obtain an index analysis result; and generating a financial report of the target financial report data based on the chart template corresponding to the target financial report data processing scene and the index analysis result. According to the financial report generating method and device, the financial report reports under various financial report data processing scenes can be automatically generated based on the requirements of the user, so that the financial report analysis results are more accurate and comprehensive, and the personalized financial report analysis requirements of the user are met.

Description

Financial report data processing method, device, equipment, medium and program product

Technical Field

The present application belongs to the field of data processing technologies, and in particular, to a method, an apparatus, a device, a medium, and a program product for processing financial and newspaper data.

Background

At present, the economy of China is rapidly internationalized, and the organization faces the competition of the international market. In this form, the survival and development of the organization will depend on the level of the business management of the organization itself. In order to rationalize the management of an organization and to make and adjust the development strategy of the organization in time, financial analysis is usually required to find out the problems in the financial management of the organization.

In the prior art, an organization generally employs a financial report analysis expert or performs financial report analysis by the organization, finds out the problem in the financial management of the organization by using the knowledge of the expert and provides a solution. The financial analysis has high requirements on professional knowledge of experts, and has strong requirements on financial market practical experience, industry analysis experience and transaction acuteness.

Because the financial report analysis result is influenced by human factors such as analysis, knowledge, experience, technology and the like of a financial report analysis expert on a large amount of financial report data, the financial report analysis result is not accurate enough, and the analysis result is single and not comprehensive enough.

Disclosure of Invention

The embodiment of the application provides a financial report data processing method, device, equipment, medium and program product, which can automatically generate financial report reports under various financial report data processing scenes based on the requirements of users, so that the financial report analysis results are more accurate and comprehensive, and the individualized financial report analysis requirements of the users are met.

In a first aspect, an embodiment of the present application provides a financial report data processing method, where the method may include:

displaying a first preset interface, wherein the first preset interface comprises a control of a preset mechanism;

responding to selection input of a user for selecting a control of a target mechanism from the controls of the preset mechanisms, and determining the target mechanism;

displaying a second preset interface, wherein the second preset interface comprises a control of a preset financial and newspaper data processing scene;

responding to selection input of a control for selecting a target financial and newspaper data processing scene from the controls of the preset financial and newspaper data processing scene by a user, and determining a target financial and newspaper data processing scene of the financial and newspaper data of the target mechanism;

performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scene to obtain an index analysis result; the target financial report data is financial report data of the target mechanism under a target financial report data processing scene, which is acquired from a preset database;

and generating a financial report of the target financial report data in the target financial report data processing scene based on the chart template corresponding to the target financial report data processing scene and the index analysis result.

In one embodiment, the generating a financial report of the target financial report data in the target financial report data processing scenario based on the graph template corresponding to the target financial report data processing scenario and the index analysis result may specifically include:

filling the index analysis result into a chart template corresponding to the target financial report data processing scene by using a data visualization tool to obtain a source code file;

converting the source code file to generate a hypertext markup language file of a data visualization chart;

rendering and screenshot are carried out on the hypertext markup language file, and a financial report of the target financial report data in the target financial report data processing scene is generated.

In one embodiment, the preset financial report data processing scenario may include at least one of external environment analysis, industry featured diagnosis, capital introduction, capital structure, management of business assets, cost mechanism, benefit quality, comprehensive evaluation, prospect prediction, and sensitivity analysis.

In one embodiment, the external environment analysis is performed on the target financial report data processing scenario, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result may include:

acquiring macroscopic environment data and industrial environment data of the target mechanism;

index analysis processing is carried out on the macroscopic environment data and the industry environment data by utilizing an index operation rule corresponding to the external environment analysis, and an external environment analysis result is obtained;

wherein, the macroscopic environment comprises at least one of political environment, economic environment, social environment and technical environment, and the industrial environment comprises at least one of industrial development status and industrial competition pattern.

In one embodiment, the target financial report data processing scenario is the industry characteristic diagnosis, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result may include:

acquiring industry key features and feature incidence relation of the industry where the target mechanism is located, mechanism operation mode data, operation result data, potential risk data and expert opinion data corresponding to the features;

performing index analysis processing on the target financial data by using an index operation rule corresponding to the industry characteristic diagnosis to obtain an industry characteristic diagnosis result;

and obtaining index operation rules corresponding to the industry characteristic diagnosis based on the industry key features, the feature association relation, the organization operation mode data corresponding to the features, the operation result data, the potential risk data and the expert opinion data.

In one embodiment, the target financial report data processing scenario introduces the capital, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result may include:

acquiring capital source data, capital configuration data and capital expansion strategy data of the target institution;

performing index analysis processing on the capital source data, the capital configuration data and the capital expansion strategy data by using index operation rules corresponding to the capital introduction to obtain a capital introduction analysis result;

wherein the capital introduction analysis results comprise financing strategy analysis results, capital structure division analysis results as profit sources, and controlled investment analysis results.

In one embodiment, the target financial report data processing scenario is the capital structure, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result may include:

acquiring asset structure quality data, asset efficiency quality data and asset change quality data of the target mechanism;

and performing index analysis processing on the asset structure quality data, the asset efficiency quality data and the asset change quality data by using an index operation rule corresponding to the capital structure to obtain a capital structure analysis result.

In one embodiment, the target property data processing scenario is the management asset management, and the performing index analysis processing on the target property data based on the index analysis rule corresponding to the target property data processing scenario to obtain an index analysis result may include:

acquiring currency fund management data, fixed asset management data, reputation co-purchase data, resource management comprehensive effect data and operating profit margin data of the target organization;

performing index analysis processing on the monetary fund management data, the fixed asset management data, the reputation joint-purchase data, the resource management comprehensive effect data and the business profit margin data by using an index operation rule corresponding to the management asset management to obtain a management asset management analysis result;

wherein the business asset management analysis results include the target organization's external environment, and the business management capabilities of the asset under the direction of the target organization's capital strategy.

In one embodiment, the target financial report data processing scenario is the cost mechanism, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result may include:

acquiring decision factor data and management factor data of the target mechanism;

and carrying out index analysis processing on the decision factor data and the management factor data by using an index operation rule corresponding to the cost mechanism to obtain a cost mechanism analysis result.

In one embodiment, the target financial report data processing scenario is the benefit quality, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result may include:

obtaining profit achievement process data, profit margin level data, profit scale quality data, and profit structure quality data for the target organization;

index analysis processing is carried out on the profit realization process data, the profit margin level data, the profit scale quality data and the profit structure quality data by utilizing an index operation rule corresponding to the benefit quality to obtain a benefit quality analysis result;

and the benefit quality analysis result is the operation result and the profit capacity analysis result of the target institution.

In one embodiment, the target financial report data processing scenario is the comprehensive evaluation, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result may include:

acquiring dominant index data and weak index data of the target mechanism in different scenes;

index analysis processing is carried out on the dominant index data and the weak index data by utilizing an index operation rule corresponding to the comprehensive evaluation to obtain a comprehensive evaluation analysis result;

wherein the comprehensive evaluation analysis result is an industry status analysis result and a competitive analysis result of the target institution.

In one embodiment, the predicting the target financial report data processing scene, and performing index analysis processing on the target financial report data based on an index analysis rule corresponding to the target financial report data processing scene to obtain an index analysis result, so as to obtain an index analysis result, may include:

acquiring operation activity data, financing activity data and investment activity data of the target organization;

and performing index analysis processing on the operation activity data, the financing activity data and the investment activity data from the dimensionalities of the asset basis, the liquidity guarantee and the growth potential developed by the target organization by using the index operation rule corresponding to the prospect prediction to obtain a prospect prediction analysis result.

In one embodiment, the sensitivity analysis is performed on the target financial report data processing scenario, and the performing index analysis processing on the target financial report data based on an index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result may include:

acquiring data of the financial data corresponding to the key financial index of the target mechanism in a prediction scene;

index analysis processing is carried out on the data under the prediction scene by utilizing an index operation rule corresponding to the sensitivity analysis, and a sensitivity analysis result is obtained;

wherein the sensitivity analysis results comprise sensitivities of the performance of the target financial data in different prediction scenarios to prediction assumptions and internal and external factor variations.

In a second aspect, an embodiment of the present application provides a financial data processing apparatus, which may include:

the first display module is used for displaying a first preset interface, and the first preset interface comprises a control of a preset mechanism;

the first determination module is used for responding to selection input of a control for selecting a target mechanism from the controls of the preset mechanisms by a user and determining the target mechanism;

the second display module is used for displaying a second preset interface, and the second preset interface comprises a control for presetting a financial and newspaper data processing scene;

the second determination module is used for responding to the selection input of a control for selecting a target financial report data processing scene from the controls of the preset financial report data processing scene by a user, and determining the target financial report data processing scene of the financial report data of the target mechanism;

the index processing module is used for carrying out index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scene to obtain an index analysis result; the target financial report data is financial report data of the target mechanism under a target financial report data processing scene, which is acquired from a preset database;

and the generating module is used for generating a financial report of the target financial report data in the target financial report data processing scene based on the chart template corresponding to the target financial report data processing scene and the index analysis result.

In one embodiment, the generating module may include:

the filling sub-module is used for filling the index analysis result into a chart template corresponding to the target financial report data processing scene by using a data visualization tool to obtain a source code file;

the first generation submodule is used for converting the source code file and generating a hypertext markup language file of a data visualization chart;

and the second generation submodule is used for rendering and screenshot the hypertext markup language file and generating a report of the target report data in the target report data processing scene.

In one embodiment, the target property data processing scenario is the external environment analysis, and the index processing module may include:

the first acquisition submodule is used for acquiring macroscopic environment data and industrial environment data of the target mechanism;

the first index processing submodule is used for performing index analysis processing on the macroscopic environment data and the industry environment data by using an index operation rule corresponding to the external environment analysis to obtain an external environment analysis result;

wherein, the macroscopic environment comprises at least one of political environment, economic environment, social environment and technical environment, and the industrial environment comprises at least one of industry development status and industry competition pattern.

In one embodiment, the target financial report data processing scenario is the industry characteristic diagnosis, and the index processing module may include:

the second acquisition submodule is used for acquiring the industry key features, the feature incidence relation, the mechanism operation mode data corresponding to the features, the operation result data, the potential risk data and the expert opinion data of the industry where the target mechanism is located;

the second index processing submodule is used for carrying out index analysis processing on the target financial report data by using the index operation rule corresponding to the industry characteristic diagnosis to obtain an industry characteristic diagnosis result;

in one embodiment, the target financial report data processing scenario is the capital introduction, and the index processing module may include:

a third obtaining sub-module, configured to obtain capital source data, capital configuration data, and capital expansion strategy data of the target institution;

the third index processing submodule is used for performing index analysis processing on the capital source data, the capital configuration data and the capital expansion strategy data by utilizing the index operation rule corresponding to the capital introduction to obtain a capital introduction analysis result;

In one embodiment, the target property data processing scenario is the capital structure, and the index processing module may include:

a fourth obtaining submodule, configured to obtain asset structure quality data, asset efficiency quality data, and asset occurrence quality data of the target mechanism;

and the fourth index processing submodule is used for performing index analysis processing on the asset structure quality data, the asset efficiency quality data and the asset change quality data by using an index operation rule corresponding to the capital structure to obtain a capital structure analysis result.

In one embodiment, the target property data processing scenario is the management asset management, and the index processing module may include:

a fifth obtaining submodule, configured to obtain monetary fund management data, fixed asset management data, reputation parallel purchase data, resource management comprehensive effect data, and operating profit margin data of the target institution;

a fifth index processing submodule, configured to perform index analysis processing on the monetary capital management data, the fixed asset management data, the reputation joint-purchase data, the resource management comprehensive effect data, and the business profit margin data by using an index operation rule corresponding to the management asset management, so as to obtain a management analysis result of the management asset;

wherein the management asset management analysis results include the target institution's external environment, and asset management capabilities under the direction of the target institution's capital strategy.

In one embodiment, the target financial report data processing scenario is the cost mechanism, and the index processing module may include:

a sixth obtaining submodule, configured to obtain decision factor data and management factor data of the target mechanism;

and the sixth index processing submodule is used for performing index analysis processing on the decision factor data and the management factor data by using an index operation rule corresponding to the cost mechanism to obtain a cost mechanism analysis result.

In one embodiment, the target property data processing scenario is the benefit quality, and the index processing module may include:

a seventh obtaining submodule for obtaining profit achievement process data, profit margin level data, profit scale quality data, and profit structure quality data of the target institution;

a seventh index processing sub-module, configured to perform index analysis processing on the profit realization process data, the profit margin level data, the profit scale quality data, and the profit structure quality data by using an index operation rule corresponding to the benefit quality, to obtain a benefit quality analysis result;

In one embodiment, the target property data processing scenario is the comprehensive evaluation, and the index processing module may include:

the eighth acquiring submodule is used for acquiring dominant index data and weak index data of the target mechanism in different scenes;

the eighth index processing submodule is used for performing index analysis processing on the dominant index data and the weak index data by using an index operation rule corresponding to the comprehensive evaluation to obtain a comprehensive evaluation analysis result;

In one embodiment, the target financial report data processing scenario is the foreground prediction, and the index processing module may include:

a ninth obtaining submodule, configured to obtain operation activity data, financing activity data, and investment activity data of the target institution;

and the ninth index processing submodule is used for performing index analysis processing on the business activity data, the financing activity data and the investment activity data from the dimensions of asset foundation, liquidity guarantee and growth potential developed by the target institution by using the index operation rule corresponding to the prospect prediction to obtain a prospect prediction analysis result.

In one embodiment, the target financial report data processing scenario is the sensitivity analysis, and the index processing module may include:

a tenth obtaining submodule, configured to obtain data of the financial data corresponding to the key financial index of the target institution in a prediction scene;

the tenth index processing submodule is used for carrying out index analysis processing on the data under the prediction scene by utilizing an index operation rule corresponding to the sensitivity analysis to obtain a sensitivity analysis result;

In a third aspect, an embodiment of the present application provides an electronic device, including: a processor and a memory storing computer program instructions;

the processor, when executing the computer program instructions, implements a financial data processing method as shown in any of the embodiments of the first aspect.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the method for processing financial and newspaper data shown in any embodiment of the first aspect is implemented.

In a fifth aspect, the present application provides a computer program product, and when executed by a processor of an electronic device, the instructions in the computer program product cause the electronic device to execute the financial and newspaper data processing method shown in any one of the embodiments of the first aspect.

The financial and newspaper data processing method, device, equipment, computer storage medium and program product of the embodiment of the application can determine a target mechanism and a target financial and newspaper data processing scene which need to be subjected to financial and newspaper data processing analysis based on the selection of a user on a control of the target mechanism and a control of the target financial and newspaper data processing scene in a preset interface by storing financial and newspaper data of a plurality of mechanisms in a preset database and setting index analysis rules corresponding to a plurality of financial and newspaper data processing scenes, automatically perform index analysis processing on target financial and newspaper data of the target mechanism under the target financial and newspaper data processing scene obtained from the preset database based on the index analysis rules corresponding to the target financial and newspaper data processing scene to obtain an index analysis result, and based on a chart template corresponding to the index analysis result and the target financial and newspaper data processing scene, the financial report of the target financial report data in the target financial report data processing scene is automatically generated, so that a user can select the target financial report data processing scene according to various financial report data processing scenes provided by the application in combination with financial report analysis requirements, and automatically generate a financial report data analysis report of a target mechanism in the target financial report data processing scene, so that personalized customization of the financial report is realized, a financial report analysis result is more accurate and comprehensive, and personalized financial report analysis requirements of the user are met.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings may be obtained according to the drawings without creative efforts.

Fig. 1 is a system architecture diagram of a method for processing financial and newspaper data according to an embodiment of the present application;

FIG. 2 is a flow chart of a method for processing financial data according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of a financial report data processing apparatus according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are intended to be illustrative only and are not intended to be limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

In addition, the acquisition, storage, use, processing and the like of the related data such as the financial data, the asset data and the like in the technical scheme of the application all accord with the related regulations of national laws and regulations.

In the prior art, the financial and newspaper analysis result is influenced by human factors such as analysis, knowledge, experience, technology and the like of a financial and newspaper analysis expert on a large amount of financial and newspaper data, so that the financial and newspaper analysis result is not accurate enough, and the analysis result is single and not comprehensive enough.

In order to solve the problems in the prior art, embodiments of the present application provide a method, an apparatus, a device, a medium, and a program product for processing financial and newspaper data. First, a financial report data processing method provided in the embodiment of the present application is described below.

Fig. 1 is a system architecture diagram of a financial report data processing method according to an embodiment of the present application, and as shown in fig. 1, a system of the financial report data processing method of the present application includes: the system comprises an external data interface module 101, a preset database 102, a financial report data analysis processing module 103, a business support engine 104, a special analysis module 105 and an application layer module 106.

The external data interface module 101 is mainly used for introducing external data required by the system, extracting, converting, checking and storing the external data into the preset database 102; specifically, the financial analysis needs to use external data, the system designs an external data interface, and the accessed data sources include: financial and newspaper data of a plurality of organizations, organization quantiles, state resource committee, state research network, industry data, state research network supplement data and the like, business data from customers and other systems of the organizations. The data will be periodically imported from the outside, using the scheduling system and ETL process tool for data cleaning, conversion, and storing standardized data into a preset database.

The above-mentioned financial affairs data analysis processing module 103 is mainly used for establishing standard input data and corresponding calculation rules, such as indexes, clause data and rules, required by the financial affairs analysis calculation, and performing calculation through the financial affairs analysis model to obtain a calculation result.

Specifically, the financial and newspaper data analysis processing module 103 mainly includes three modules, namely, an index definition module, an index modeling module and an index operation module.

The index definition module mainly comprises the core elements of the financial report: the method comprises the steps of creating indexes and clauses and configuring index operation rules and clause rules.

The index modeling module comprises an index calculation application model of the industry constructed according to the financial and newspaper analysis business requirements.

The index operation module comprises period setting, index pre-calculation, index dimension analysis statistics and index results.

The business support engine 104 can directly access the preset database 102, and is configured to establish data such as corresponding topics, graphs, terms, tables, and report chart templates according to business requirements; specifically, according to the financial report generation requirement, a business support engine comprises three modules of theme definition, theme content design and visualization application.

The theme definition supports corresponding theme creation and theme template design according to the requirements of financial report analysis content, and mainly displays the template design and import in the form of report chapters, titles, hierarchies and the like.

The subject matter design comprises analysis conclusion design, data form design, graphic design and clause design. The subject content, that is, the report content under a certain subject, is mainly presented in the form of a chart, a diagram, paragraph terms, and the like, and the content and the presentation form need to be designed and imported.

The visualization application is mainly used for outputting data visualization, and tools for applying corresponding graphs to the data visualization, such as FreeMarker, Echarts and the like, convert the calculation index data into a graph chart and output and display the graph chart.

The special analysis module 105 is configured to perform special analysis according to business requirements, and includes a plurality of financial and newspaper data analysis scenarios such as external environment analysis, capital introduction, and industry characteristic diagnosis.

Specifically, according to the business requirements of financial analysis, the enterprise financial analysis is defined as multi-dimensional special analysis (namely, multi-financial data analysis scenes) comprising the analysis of an external environment, industry characteristic diagnosis, capital introduction, a capital structure, management asset management, a cost mechanism, benefit and quality, prospect prediction, comprehensive evaluation, sensitivity analysis and other comprehensive and multi-view analysis.

The application layer module 106 is configured to provide real-time, batch, and multiple financial report data-based analysis functions, such as financial report visualization, report preview, and download, according to a user usage scenario; specifically, the application level support mechanism initiates real-time online financial analysis, supporting batch analysis. The financial statement analysis method can be used for analyzing the financial statement data disclosed by the organization and the financial statement automatically uploaded by the organization. The financial statement additional entry, the statement query, the preview and the download of the financial statement report and the visualization of the financial statement data are supported.

Therefore, by constructing the financial and newspaper analysis system, based on financial and newspaper data and external data of a mechanism and a financial and newspaper analysis model, the automatic generation of a visual financial and newspaper report based on the public financial and newspaper data of the mechanism and the mixed data of the public financial and newspaper data and the self-owned financial and newspaper data is realized, and the system has the characteristics of real-time performance, systematicness, high reliability, high efficiency, high quality, multiple application scenes, customization and the like.

Fig. 2 is a flowchart of a financial report data processing method according to an embodiment of the present application, and it should be noted that the financial report data processing method may be applied to a financial report data processing apparatus, and as shown in fig. 2, the financial report data processing method may include the following steps:

s210, displaying a first preset interface, wherein the first preset interface comprises a control of a preset mechanism;

s220, responding to selection input of a user for selecting a control of a target mechanism from controls of preset mechanisms, and determining the target mechanism;

s230, displaying a second preset interface, wherein the second preset interface comprises a control of a preset financial and newspaper data processing scene;

s240, responding to the selection input of a control for selecting a target financial report data processing scene from controls of a preset financial report data processing scene by a user, and determining a target financial report data processing scene of financial report data of a target mechanism;

s250, performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scene to obtain an index analysis result; the target financial report data is financial report data of a target mechanism under a target financial report data processing scene, which is acquired from a preset database;

and S260, generating a financial report of the target financial report data in the target financial report data processing scene based on the chart template and the index analysis result corresponding to the target financial report data processing scene.

Therefore, by storing the financial and newspaper data of a plurality of mechanisms in a preset database and setting index analysis rules corresponding to a plurality of financial and newspaper data processing scenes, a target mechanism and a target financial and newspaper data processing scene needing to be subjected to financial and newspaper data processing analysis can be determined based on the selection of a user on a control of the target mechanism and a control of the target financial and newspaper data processing scene in a preset interface, index analysis processing is automatically performed on the target financial and newspaper data of the target mechanism under the target financial and newspaper data processing scene acquired from the preset database based on the index analysis rules corresponding to the target financial and newspaper data processing scene to obtain an index analysis result, and a financial and newspaper report of the target financial and newspaper data in the target financial and newspaper data processing scene is automatically generated based on the index analysis result and a chart template corresponding to the target financial and newspaper data processing scene, so that the user can process scenes according to the plurality of financial and newspaper data provided by the application, and selecting a target financial and newspaper data processing scene according to the financial and newspaper analysis requirements, and automatically generating a financial and newspaper data analysis report of the target mechanism in the target financial and newspaper data processing scene, so that the personalized customization of the financial and newspaper report is realized, the financial and newspaper analysis result is more accurate and comprehensive, and the personalized financial and newspaper analysis requirements of users are met.

In some embodiments, generating a financial report of the target financial report data in the target financial report data processing scenario based on the graph template and the index analysis result corresponding to the target financial report data processing scenario may specifically include:

filling the index analysis result into a chart template corresponding to a target financial report data processing scene by using a data visualization tool to obtain a source code file;

and rendering and screenshot the hypertext markup language file to generate a financial report of the target financial report data in a target financial report data processing scene.

In particular, the main flow of chart processing is to define chart templates of different presentation types based on the ECharts visual chart library. Filling data into a chart template by using a Freemark technology to convert into a JavaScript source code file, then embedding the JavaScript source code file into a hypertext markup language html tag, importing a third-party JavaScript library file required to be supported, constructing a hypertext markup language html file for generating a data visualization chart, starting a headless mode of a browser, loading the hypertext markup language html at the rear end, rendering and screenshot the hypertext markup language html, and thus completing the making of a chart graph.

The chart template is developed based on an ECharts visual chart library, and the ECharts provides conventional line charts, bar charts, scatter charts, pie charts, K-line charts, box charts for statistics, maps, thermodynamic charts and line charts for geographic data visualization, relationship charts, treemap and Asahi charts for relationship data visualization, parallel coordinates for multi-dimensional data visualization, funnel charts, instrument panels and supports blending between charts and charts.

Because the ECharts are developed based on the Javascript library, the chart template is Javascript codes developed based on the ECharts, positions in the codes needing data filling are identified by defining variables, and finally the text file stored in the FTL format is stored in the template library under the designated directory.

Therefore, data corresponding to the index analysis result is filled into the chart template corresponding to the target financial report data processing scene by using the data visualization tool, and a financial report of the target financial report data in the target financial report data processing scene is automatically generated, so that the financial report is more visual and clear, and the reading experience is good.

In some embodiments, the pre-set financial data processing scenario may include at least one of external environmental analysis, industry specialty diagnostics, capital introduction, capital structure, management assets, cost mechanisms, benefit quality, comprehensive evaluation, prospect prediction, sensitivity analysis.

Therefore, the method meets the requirement of the user on personalized financial and newspaper analysis by constructing ten scenes of external environment analysis, industry characteristic diagnosis, capital introduction, capital structure, management of operating assets, cost mechanism, benefit quality, comprehensive evaluation, prospect prediction and sensitivity analysis.

In some embodiments, the external environment analysis is performed on the target financial report data processing scenario, and the index analysis processing is performed on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain the index analysis result, which may include:

acquiring macroscopic environment data and industry environment data of a target mechanism;

performing index analysis processing on macroscopic environment data and industrial environment data by using index operation rules corresponding to external environment analysis to obtain an external environment analysis result;

Therefore, according to the macroscopic environment data and the industry environment data, the external environment of the mechanism is analyzed, the influence of macroscopic economy, policies and the industry environment on the mechanism is analyzed, the influence of the macroscopic economy, policies and the industry environment on the mechanism is analyzed according to the data including but not limited to interest rate, capital market data, industry scene indexes, element prices and the like, and mining of macroscopic and industry reports and information is conducted, so that accurate and timely external environment analysis is provided for the mechanism, and development decision and avoidance risk protection and driving protection for the mechanism are achieved.

In some embodiments, the target financial report data processing scenario is an industry characteristic diagnosis, and the performing index analysis processing on the target financial report data based on an index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result may include:

index analysis processing is carried out on the target financial report data by utilizing index operation rules corresponding to the industry characteristic diagnosis to obtain an industry characteristic diagnosis result;

the index operation rule corresponding to the industry characteristic diagnosis is obtained based on industry key features, feature association relations, mechanism operation mode data corresponding to the features, operation result data, potential risk data and expert opinion data.

Therefore, by constructing index operation rules corresponding to industry characteristic diagnosis, the industry sample data is fully utilized, the industry key characteristics and the incidence relation sub-networks of different industry organizations are mined, the information such as the organization operation modes, the operation results and the potential risks indicated by the industry key characteristics and the incidence relation sub-networks are obtained, expert opinions are fused, the industry characteristics are comprehensively grasped, the industry logic is deeply matched, and personalized, accurate and effective analysis results and suggestions are provided for clients.

Specifically, the content of the industry characteristic diagnosis comprises industry plate positioning, industry ranking, comparable institution analysis, industry characteristic diagnosis results and industry characteristic diagnosis analysis.

The positioning of the industry plate can accurately position the industry plate and the industry chain position of the organization according to the standard industry classification of the organization and the information of the income composition, the industry chain position, the business range, the main business product and the like of the main business.

The industry rankings include capital introduction, capital structure, management of business assets, benefits and quality, cost mechanisms, ranking of results of evaluations in the prospect of six dimensions, and composite ranking. The ranking provides quantitative results in the form of percentages, providing clear industry competitive status views for the organization.

The comparable mechanisms analyze the similarity of industry classification and the position of an industry chain according to the positioning of the industry plates and the expression of financial and newspaper data, and automatically identify the comparable mechanisms from the open market and the in-line mechanism database respectively.

According to information such as industry classification, industry chain position, main business composition and the like, similar mechanisms are identified from public markets such as an A-stock mechanism, a debt mechanism database and the like by combining financial data expression and analysis results, and industry characteristic financial indexes of the comparable mechanisms, indexes of abnormal expression of target mechanisms and other indexes selected by users are analyzed and compared.

According to information such as industry classification, major business and products, and industrial chain positions, mechanisms with similar industry plates are obtained from the wind investment information base, recent investment and financing information of the comparable mechanisms of the parts is analyzed and compared, and accurate, timely and highly-referential investment and financing information is provided for building a large number of small and medium-sized micro mechanisms.

According to information such as industry classification, industry chain position, main business composition and the like, similar mechanisms are identified from an in-line mechanism database by combining financial report data expression and analysis results, and all-dimensional industry ranking, comprehensive ranking and industry diagnosis results of comparable mechanisms are analyzed and compared, so that comprehensive and deep industry relative position information is provided for the mechanisms, and meanwhile, the mechanisms can be helped to accurately master relative advantages and disadvantages of the mechanisms in competition with the similar mechanisms.

And identifying a regular path with analytical significance in the industry characteristic diagnosis result according to the key index and the index relation network of the industry characteristic diagnosis, and finally positioning the financial management target to form a qualitative classification result of the industry diagnosis.

According to the relevant theory of financial management, the results of the industry diagnosis classification include: and (3) maintaining survival: traversing relevant rules of sensitive dimensions such as payment capacity, cash liquidity, business income and the like, and judging the survival risk of an organization; avoid financial dilemma: traversing relevant rules such as short-term repayment and long-term repayment of the organization, cash payment conditions and the like, and if various analyses point to poor financial conditions of the organization but the characteristics pointing to survival risks do not exist temporarily, the organization can belong to the category; and (3) scale-up: by traversing the rules related to the asset structure, the change condition, the financing condition and the like, the organization is healthier in development, but has limited scale, and the scale can be further enlarged; controlling cost, analyzing related rules such as expense structures and change conditions of the organization by traversing the rules related to the expense level, and pointing to a relatively high expense rate level in the same industry; the income is enlarged, and the income structure, the change condition and the like of the organization are analyzed by traversing the income scale and the related rules of growth, so that the relatively lower income scale in the same industry is pointed; the stable increase of the profit is maintained, and the historical and future growth of the organization is judged by traversing relevant rules of the increase of business income, the increase of business profit, the business period, the sustainable growth rate and the like.

In the six categories, the mechanism can belong to one category or two categories at the same time. In the judgment path included in each classification, the subdivision dimension and the index for representing the abnormity are provided, so that the mechanism can acutely grasp the advantages and risks of the mechanism and identify key reasons.

The industry diagnosis analysis develops and analyzes the related indexes and the logic relationship according to the industry diagnosis characteristics and the relationship network, outputs a title reflecting the viewpoint of the paragraph, analyzes the sentence of the paragraph and a visual chart, and forms the main component of an industry diagnosis visualization and industry diagnosis report module.

In some embodiments, the target financial report data processing scenario is capital introduction, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result may include:

acquiring capital source data, capital configuration data and capital expansion strategy data of a target organization;

carrying out index analysis processing on capital source data, capital configuration data and capital expansion strategy data by utilizing corresponding index operation rules of capital introduction to obtain a capital introduction analysis result;

wherein, the capital introduction analysis result comprises a financing strategy analysis result, a capital structure division analysis result as a profit source and a controlled investment analysis result.

Specifically, the capital strategic analysis is the analysis of the institution in the strategic areas of capital source, capital allocation and capital expansion, including: financing strategies, capital structure partitioning as a source of profit, and controlled investments; the analysis items include: stockholder income, financial resources, stockholder left resources, business assets, investment assets and competition strategies: scale, core business proportion, profit margin, etc.; and (4) functional strategy: research and development investment, labor cost, sales cost, purchase cost and the like; dilation effect of controlled investments: and the subject difference of the master organization report form and the combined report form.

The index operation rule includes an index analysis dimension, an analysis sub-dimension, an index name, and an index calculation expression, "xxx" is a calculation expression corresponding to the index name, which is specifically shown in table 1:

TABLE 1

In this way, target financial data of a target institution in a capital introduction scene can be subjected to index analysis based on the selection of a user to obtain a capital introduction analysis result, so that the analysis result of the institution based on the capital strategy is improved.

In some embodiments, the target financial report data processing scenario is a capital structure, and the performing index analysis processing on the target financial report data based on an index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result may include:

acquiring asset structure quality data, asset efficiency quality data and asset change quality data of a target mechanism;

and performing index analysis processing on the asset structure quality data, the asset efficiency quality data and the asset occurrence quality data by using index operation rules corresponding to the capital structure to obtain a capital structure analysis result.

Specifically, the quality of the assets is determined by the macroscopic and industrial environment and capital strategy of the organization, and the financial management of the organization is the basis.

The index operation rule includes an index category and an index subcategory, which are specifically shown in table 2:

TABLE 2

The index operation rule includes an index category, a sub-category, an index name, and an index calculation expression, "xxx" is a calculation expression corresponding to the index name, which is specifically shown in table 3:

TABLE 3

In this way, the target financial data of the target institution in the capital structure scene can be subjected to index analysis based on the selection of the user to obtain the capital structure analysis result, so that the analysis result of the institution based on the capital structure is improved.

In some embodiments, the target financial report data processing scenario is management asset management, and performing index analysis processing on the target financial report data based on an index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result, which may include:

acquiring currency fund management data, fixed asset management data, reputation co-purchase data, resource management comprehensive effect data and operating profit margin data of a target organization;

index analysis processing is carried out on the monetary fund management data, the fixed asset management data, the reputation joint-purchase data, the resource management comprehensive effect data and the operating profit margin data by utilizing index operation rules corresponding to the management of the operating assets, so as to obtain a management analysis result of the operating assets;

wherein, the management asset management analysis result comprises the management ability of the asset management under the external environment of the target organization and the guidance of the capital strategy of the target organization.

Specifically, resource management is the ability to analyze the management of an organization's own assets in the current external environment, under the direction of capital strategies implemented by the organization. The method mainly comprises the dimensions of money and fund management, fixed asset management, reputation co-purchasing, resource management comprehensive effect and the like.

The index type and the sub-type included in the index operation rule are specifically shown in table 4:

TABLE 4

The index operation rule includes an index category, a sub-category, an index name, and an index calculation expression, "xxx" is a calculation expression corresponding to the index name, which is specifically shown in table 5:

TABLE 5

Therefore, index analysis can be performed on target financial data of a target organization in an operation asset management scene based on the selection of the user to obtain an operation asset management analysis result, so that the analysis result of the organization based on the operation asset management is improved.

In some embodiments, the target financial report data processing scenario is a cost mechanism, and the performing index analysis processing on the target financial report data based on an index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result may include:

acquiring decision factor data and management factor data of a target mechanism;

and performing index analysis processing on the decision factor data and the management factor data by using an index operation rule corresponding to the cost mechanism to obtain a cost mechanism analysis result.

Specifically, the cost mechanism is an important embodiment of the management level of the organization and is one of the decisive mechanisms influencing the management result, and the analysis dimension comprises two aspects of decision factors and management factors.

The index operation rule includes an index category, a first sub-category, and a second sub-category, which are specifically shown in table 6:

TABLE 6

The index operation rule includes an index category, a sub-category, an index name, and an index calculation expression, "xxx" is a calculation expression corresponding to the index name, which is specifically shown in table 7:

TABLE 7

Therefore, index analysis can be performed on target financial data of the target mechanism in the cost mechanism scene based on the selection of the user to obtain a cost mechanism analysis result, so that the analysis result of the mechanism based on the cost mechanism is improved.

In some embodiments, the target financial report data processing scenario is benefit quality, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result may include:

obtaining profit implementation process data, profit margin level data, profit scale quality data, and profit structure quality data of the target organization;

index analysis processing is carried out on the profit realization process data, the profit rate level data, the profit scale quality data and the profit structure quality data by utilizing the index operation rule corresponding to the benefit quality to obtain a benefit quality analysis result;

and the benefit quality analysis result is the operation result and the profit capacity analysis result of the target organization.

Specifically, the business benefits mainly examine the business results and profitability of the organization. Mainly comprises the following dimensions: profit implementation process, profit margin level, profit scale quality, and profit structure quality.

The index operation rules include index categories and sub-categories as shown in table 8:

TABLE 8

The index operation rule includes an index category, a sub-category, an index name, and an index calculation expression, "xxx" is a calculation expression corresponding to the index name, which is specifically shown in table 9:

TABLE 9

Therefore, index analysis can be performed on target financial data of the target mechanism in a benefit quality scene based on the selection of the user, a benefit quality analysis result is obtained, and the analysis result of the mechanism based on the benefit quality is improved.

In some embodiments, the target financial report data processing scenario is comprehensive evaluation, and performing index analysis processing on the target financial report data based on an index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result, where the index analysis processing scenario may include:

acquiring dominant index data and weak index data of a target mechanism in different scenes;

index analysis processing is carried out on the dominant index data and the weak index data by utilizing index operation rules corresponding to the comprehensive evaluation to obtain a comprehensive evaluation analysis result;

wherein the comprehensive evaluation analysis result is an industrial status analysis result and a competitive analysis result of the target organization.

Specifically, the results of comprehensive diagnosis and peer-to-peer comparison are obtained through the analysis of the scenes. From the perspective of financial analysis, the superiority and weakness of the organization are provided, the reason is traced, and relevant suggestions are provided; the comprehensive evaluation is a summary of financial analysis results in a plurality of scenes, and dimensions with relative advantages and dimensions with relative weaknesses are identified according to the result of financial data analysis. Meanwhile, the difference of the dimension comparison mechanism and the same industry data distribution is analyzed, the industry status and the competitiveness of the mechanism are analyzed, and relevant suggestions are given. In addition, an external industry evaluation criterion is provided, and when the criterion is selected, a diagnosis result calculated according to the criterion is output.

Therefore, index analysis can be performed on the target financial data of the target mechanism in the comprehensive evaluation scene based on the selection of the user to obtain a comprehensive evaluation analysis result, so that the analysis result of the mechanism based on the comprehensive evaluation is improved.

In some embodiments, the predicting the target financial report data processing scene is a foreground prediction, and performing index analysis processing on the target financial report data based on an index analysis rule corresponding to the target financial report data processing scene to obtain an index analysis result, and obtaining the index analysis result may include:

acquiring operation activity data, financing activity data and investment activity data of a target organization;

and performing index analysis processing on the operation activity data, the financing activity data and the investment activity data by using index operation rules corresponding to the prospect prediction from the dimensionalities of the asset basis, the liquidity guarantee and the growth potential developed by the target organization to obtain a prospect prediction analysis result.

Specifically, the aspects of business activities, financing activities, investment activities and the like are predicted by analyzing the aspects of asset foundation, liquidity guarantee, growth potential and the like developed by the organization, and the development prospect of the organization is comprehensively evaluated.

The index operation rule includes an index category, a first sub-category, and a second sub-category, which are specifically shown in table 10:

watch 10

The index operation rule includes an index category, a sub-category, an index name, and an index calculation expression, "xxx" is a calculation expression corresponding to the index name, which is specifically shown in table 11:

TABLE 11

Therefore, index analysis can be performed on the target financial data of the target mechanism in the foreground prediction scene based on the selection of the user to obtain a foreground prediction analysis result, so that the analysis result of the mechanism based on the foreground prediction is improved.

In some embodiments, the sensitivity analysis is performed on the target financial report data processing scenario, and the index analysis processing is performed on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain the index analysis result, which may include:

index analysis processing is carried out on data under a prediction scene by using index operation rules corresponding to sensitivity analysis to obtain a sensitivity analysis result;

the sensitivity analysis result comprises the sensitivity of the performance of the target financial data in different prediction scenes to the prediction hypothesis and the change of internal and external factors.

Specifically, in performing financial predictions, different index prediction assumptions have different degrees of impact on the prediction results. The sensitivity analysis means that index prediction hypotheses are combined into different scenes, and the sensitivity of financial performance to the prediction hypotheses and the changes of internal and external factors is analyzed by comparing the changes of key financial index prediction results of the organization in different future scenes.

The index operation rule corresponding to the sensitivity analysis is shown in table 12:

TABLE 12

Therefore, index analysis can be performed on the target financial data of the target mechanism in the sensitivity analysis scene based on the selection of the user to obtain a sensitivity analysis result, so that the mechanism is improved based on the sensitivity analysis result.

Based on the same inventive concept, the embodiment of the application also provides a financial and newspaper data processing device. The following describes in detail a financial report data processing apparatus provided in an embodiment of the present application with reference to fig. 3.

Fig. 3 is a schematic structural diagram illustrating a financial data processing apparatus according to an embodiment of the present application.

As shown in fig. 3, the financial data processing apparatus may include:

the first display module 301 is configured to display a first preset interface, where the first preset interface includes a control of a preset mechanism;

a first determination module 302, configured to determine a target mechanism in response to a selection input by a user to select a control of the target mechanism from the controls of the preset mechanisms;

a second display module 303, configured to display a second preset interface, where the second preset interface includes a control of a preset financial and newspaper data processing scene;

a second determining module 304, configured to determine a target financial instrument data processing scenario of the financial instrument data of the target institution in response to a selection input of a user selecting a control of a target financial instrument data processing scenario from the controls of the preset financial instrument data processing scenario;

the index processing module 305 is configured to perform index analysis processing on the target financial report data based on an index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result; the target financial report data is financial report data of the target mechanism under a target financial report data processing scene, which is acquired from a preset database;

a generating module 306, configured to generate a financial report of the target financial report data in the target financial report data processing scenario based on the graph template corresponding to the target financial report data processing scenario and the index analysis result.

In one embodiment, the generating module 306 may include:

the filling submodule is used for filling the index analysis result into a chart template corresponding to the target financial report data processing scene by using a data visualization tool to obtain a source code file;

and the second generation submodule is used for rendering and screenshot the hypertext markup language file and generating a financial report of the target financial report data in the target financial report data processing scene.

In one embodiment, the target property data processing scenario is the external environment analysis, and the index processing module 305 may include:

the first acquisition sub-module is used for acquiring macroscopic environment data and industrial environment data of the target mechanism;

In one embodiment, the target financial report data processing scenario is the industry feature diagnosis, and the index processing module 305 may include:

In one embodiment, the target financial report data processing scenario is the industry characteristic diagnosis, and the index processing module 305 may include:

in one embodiment, the target property data processing scenario is the capital introduction, and the index processing module may include:

In one embodiment, the target property data processing scenario is the capital structure, and the index processing module 305 may include:

a fourth obtaining submodule, configured to obtain asset structure quality data, asset efficiency quality data, and asset performance quality data of the target organization;

In one embodiment, the target property data processing scenario is the management asset management, and the index processing module 305 may include:

In one embodiment, the target financial report data processing scenario is the cost mechanism, and the index processing module 305 may include:

In one embodiment, the target property data processing scenario is the benefit quality, and the index processing module 305 may include:

In one embodiment, the target property data processing scenario is the comprehensive evaluation, and the index processing module 305 may include:

In one embodiment, the target property data processing scenario is the foreground prediction, and the index processing module 305 may include:

In one embodiment, the target property data processing scenario is the sensitivity analysis, and the index processing module 305 may include:

Fig. 4 shows a schematic structural diagram of an electronic device according to an embodiment of the present application.

As shown in fig. 4, the electronic device 4 is capable of implementing a structure diagram of an exemplary hardware architecture of an electronic device according to the financial report data processing method and the financial report data processing apparatus in the embodiment of the present application.

The electronic device may refer to an electronic device in the embodiments of the present application.

The electronic device 4 may comprise a processor 401 and a memory 402 in which computer program instructions are stored.

Specifically, the processor 401 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.

Memory 402 may include mass storage for data or instructions. By way of example, and not limitation, memory 402 may include a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, magnetic tape, or Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 402 may include removable or non-removable (or fixed) media, where appropriate. The memory 402 may be internal or external to the integrated gateway disaster recovery device, where appropriate. In a particular embodiment, the memory 402 is a non-volatile solid-state memory. In particular embodiments, memory 402 may include Read Only Memory (ROM), Random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory 402 comprises one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors), it is operable to perform operations described with reference to a method according to an aspect of the present application.

The processor 401 reads and executes the computer program instructions stored in the memory 402 to implement any of the data processing methods in the above embodiments.

In one example, the electronic device may also include a communication interface 403 and a bus 404. As shown in fig. 4, the processor 401, the memory 402, and the communication interface 403 are connected via a bus 404 to complete communication therebetween.

The communication interface 403 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present application.

The bus 404 comprises hardware, software, or both to couple the components of the electronic device to one another. By way of example, and not limitation, a bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hypertransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus or a combination of two or more of these. Bus 404 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.

The electronic device may execute the data processing method in the embodiment of the present application, so as to implement the data processing method and apparatus described in conjunction with fig. 1 to 3.

In addition, in combination with the data processing method in the foregoing embodiments, the embodiments of the present application may provide a computer storage medium to implement. The computer storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement any of the data processing methods in the above embodiments.

It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions or change the order between the steps after comprehending the spirit of the present application.

The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.

It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.

Aspects of the present application are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.

As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.

Claims

1. A financial data processing method, comprising:

2. The method according to claim 1, wherein the generating of the report of the target financial report data in the target financial report data processing scenario based on the graph template corresponding to the target financial report data processing scenario and the index analysis result specifically includes:

3. The method of claim 1 or 2, wherein the pre-set financial data processing scenario includes at least one of external environmental analysis, industry specialization diagnosis, capital introduction, capital structure, management of business assets, cost mechanisms, quality of benefit, comprehensive evaluation, prospect prediction, sensitivity analysis.

4. The method according to claim 3, wherein the target financial report data processing scenario is the external environment analysis, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result includes:

index analysis processing is carried out on the macroscopic environment data and the industry environment data by using index operation rules corresponding to the external environment analysis to obtain an external environment analysis result;

5. The method according to claim 3, wherein the target financial and newspaper data processing scenario is the industry featured diagnosis, and the performing index analysis processing on the target financial and newspaper data based on the index analysis rule corresponding to the target financial and newspaper data processing scenario to obtain an index analysis result comprises:

6. The method according to claim 3, wherein the target financial report data processing scenario is the capital introduction, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result includes:

wherein the capital introduction analysis results comprise financing strategy analysis results, capital structure division analysis results as profit sources and controlled investment analysis results.

7. The method according to claim 3, wherein the target financial report data processing scenario is the capital structure, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result includes:

8. The method according to claim 3, wherein the target financial report data processing scenario is the management asset management, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result includes:

acquiring currency fund management data, fixed asset management data, reputation co-purchase data, resource management comprehensive effect data and operating profit rate data of the target organization;

9. The method according to claim 3, wherein the target financial report data processing scenario is the cost mechanism, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result includes:

10. The method according to claim 3, wherein the target financial report data processing scenario is the benefit quality, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result includes:

and the benefit quality analysis result is the operation result and the profitability analysis result of the target organization.

11. The method according to claim 3, wherein the target financial report data processing scenario is the comprehensive evaluation, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result includes:

12. The method according to claim 3, wherein the target financial affairs data processing scenario is the foreground prediction, and the performing index analysis processing on the target financial affairs data based on an index analysis rule corresponding to the target financial affairs data processing scenario to obtain an index analysis result and obtain an index analysis result comprises:

13. The method according to claim 3, wherein the target financial report data processing scenario is the sensitivity analysis, and the performing index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scenario to obtain an index analysis result comprises:

14. A financial data processing apparatus, characterized in that the apparatus comprises:

the index processing module is used for carrying out index analysis processing on the target financial report data based on the index analysis rule corresponding to the target financial report data processing scene to obtain an index analysis result; the target financial report data is financial report data of the target mechanism under a target financial report data processing scene, and the financial report data is acquired from a preset database;

15. An electronic device, characterized in that the device comprises: a processor and a memory storing computer program instructions;

the processor, when executing the computer program instructions, implements a financial data processing method according to any one of claims 1 to 13.

16. A computer-readable storage medium having computer program instructions stored thereon which, when executed by a processor, implement the financial instrument data processing method according to any one of claims 1 to 13.

17. A computer program product, wherein instructions in the computer program product, when executed by a processor of an electronic device, cause the electronic device to perform the financial instrument data processing method of any one of claims 1-13.