A multi-level audit-based industry and finance integrated data processing method and system
The integrated business and finance data processing system based on multi-level review solves the problem of interaction between multi-level review of business and financial data within the enterprise, realizes intelligent push and risk monitoring, and improves the efficiency and accuracy of data review.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUBEI OPTICAL VALLEY STANDARD INNOVATION TECH CO LTD
- Filing Date
- 2025-03-26
- Publication Date
- 2026-05-29
Smart Images
Figure CN120278833B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of data processing technology, and specifically to a business and finance integrated data processing method and system based on multi-level review. Background Technology
[0002] Business data auditing is a crucial aspect of enterprise operations. Business data auditing focuses on sales, procurement, and other data to ensure the authenticity of transactions and the compliance of processes, supporting operational decision-making. Financial data auditing targets accounts and reports, controlling data accuracy, ensuring the quality of financial information, and safeguarding the company's funds and assets, thus laying a solid data foundation for the company's sound development.
[0003] The invention patent application with application number 202311855936.8 discloses an integrated financial and business management method, which includes the following steps: S110, planning financial statements based on annual operating targets and formulating decomposed business target values; S120, establishing a fusion model based on the forward business logic process, integrating the planning information flow from sales plan to project delivery with the project execution information flow; S130, obtaining the retention budget and financial budget based on the project budget and the fusion model; S140, conducting reverse control feedback from the financial end to the business end based on the financial budget, financial statements and business target values.
[0004] This application aims to address the problem in existing technologies where the finance and business departments within an enterprise cannot accurately coordinate their operations, resulting in low efficiency and inaccurate accuracy in fund management.
[0005] However, currently, business and financial data often involve multi-level management personnel to review step by step. This process requires frequent interaction and delivery between upper and lower level managers during the cross-level review process, resulting in high time costs for business and financial data review and errors that are prone to occur during the communication between upper and lower level managers.
[0006] To address this, a data processing method and system for integrated business and finance based on multi-level review is proposed. Summary of the Invention
[0007] In view of the above-mentioned shortcomings of the existing technology, the present invention provides a business and financial integrated data processing method and system based on multi-level review, which solves the technical problems mentioned in the background.
[0008] To achieve the above objectives, the present invention provides the following technical solution:
[0009] Firstly, a business-finance integrated data processing system based on multi-level approval includes:
[0010] The system comprises four modules: a management module for uploading and storing business and financial data; a configuration module for iterating through the stored business and financial data and configuring processing deadlines; a creation module for creating a user group topology for review; a push module for retrieving and pushing business and financial data to review users based on the configured processing deadlines; a risk control module for real-time monitoring of business and financial data review risks and providing feedback on the monitoring results to the highest-level review user in the user group topology; and a maintenance module for identifying the review user from whom the business and financial data review risks originate and ending all pushes of business and financial data to that user.
[0011] Furthermore, during the upload phase, the uploaded business and financial data are simultaneously tagged with text information containing the words "business" and "financial." The management module contains sub-modules, including:
[0012] The differentiation unit is used to create differentiated storage ranges in the management module, traverse the business and financial data tags uploaded in the management module, and store the business and financial data in different differentiated storage ranges based on the data tags.
[0013] The business and financial data formats include images and text documents. After the management module distinguishes and stores the business and financial data, it simultaneously performs a cleaning operation on the business and financial data to remove duplicate business and financial data.
[0014] Furthermore, during the configuration module's operation phase, system users access the management module to query target business and financial data, configure processing periods for the business and financial data, and the process ends after all business and financial data stored in the management module has been configured with processing periods.
[0015] The management module runs in real time and performs storage operations synchronously when new business and financial data are uploaded. The configuration module runs in conjunction with the management module and configures the processing period for the newly stored business and financial data in real time.
[0016] In this module, after the configuration module configures the processing period for business and financial data, the management module simultaneously sorts the business and financial data stored in each zone's storage area based on the processing period, generating a queue of business and financial data so that business and financial data with closer processing periods are placed first.
[0017] Furthermore, during the creation module's user group topology creation phase, user information is uploaded synchronously, and a tree-like topology structure is selected as the topology construction structure. The creation module has sub-modules at its lower levels, including:
[0018] The classification unit is used to traverse the review user information uploaded in the creation module, classify the review users based on the review user information, and send each type of review user to the creation module in sequence to create several secondary review user topologies.
[0019] The connection unit is used to receive all the secondary review user topologies created in the creation module, and connect the secondary review user topologies to each other based on the review user information to obtain the review user group topology.
[0020] The user information to be reviewed includes: job title, department, and supervising department. When classifying users by category, each user in each category has only two job titles, and one job title corresponds to a unique number of users. The user with a unique job title is the user with the highest job title in that category. The supervising department of the user with a unique job title is the same as the department of all other users. In the second-level user topology creation stage, the user with a unique job title is the superior, and the other users are subordinates.
[0021] Furthermore, during the operation of the push module, when retrieving business and financial data from the management module, business and financial data with near processing deadlines are retrieved first. When pushing to the review user, the review user is selected from the review user group topology. The selected review user and all its superior review users in the review user group topology are used to generate a review path. The generated review path is then applied to the review of the retrieved business and financial data.
[0022] When business and financial data are pushed to the reviewing user, the mobile computer device held by the reviewing user receives the business and financial data. After the reviewing user approves the business and financial data online via the mobile computer, the reviewing user submits the approved business and financial data to the superior reviewing user.
[0023] Furthermore, the risk control module has sub-modules at its lower level, including:
[0024] The recording unit is used to record relevant information about business and financial data during the audit process;
[0025] The record unit refreshes once each time business and financial data are approved and submitted to the superior reviewer. Relevant information during the review process includes: review duration of business and financial data; review time of business and financial data; and fatigue level of the reviewers.
[0026] When the risk control module sends the business and financial data audit risk monitoring results to the highest-level audit user, it creates a risk monitoring result data package based on the historical audit risk monitoring results of the same business and financial data. The risk monitoring results in the data package are sorted according to time sequence.
[0027] Furthermore, the monitoring logic for business and financial data audit risks in the risk control module is expressed as follows:
[0028]
[0029] In the formula: k represents the risk of auditing business and financial data; f[t∈(t)] min ,t max )] is the control function; t is the audit duration for business and financial data; (t min ,t max ) represents the preset health time range for business and financial data review; m represents the total amount of business and financial data reviewed by the reviewer in the past; d(t) represents the health time range for business and financial data review in the past. j t0) represents the time difference between the time of the j-th audit of business and financial data by the auditor and the time of the current audit of business and financial data; F represents the auditor's fatigue level factor;
[0030] Wherein, the control function f[t∈(t) min ,t max In )], t∈(t min ,t max If the condition is true, then f[t∈(t)] min ,t max )]=1, conversely, f[t∈(t) min ,t max The value is a fixed value greater than 1 preset by the system user. Indicates to Find the mean. This indicates the centralized nature of the reviewers' processing of business and financial data. The smaller the value, the more concentrated the auditors are in reviewing and processing business and financial data. F takes the value of an integer and is directly proportional to the auditor's current continuous online time.
[0031] Furthermore, after the business and financial data audit risk F is obtained, a business and financial data audit risk judgment threshold is set simultaneously. When any item in the data packet to which the business and financial data belongs exceeds the business and financial data audit risk judgment threshold, it is determined that the business and financial data has an audit risk, and the risk control module will provide feedback to the highest-level audit user in the audit user group topology. Otherwise, it will not provide feedback to the highest-level audit user in the audit user group topology.
[0032] The maintenance module obtains the audit users who are auditing the source of business and financial data audit risks, that is, audit users whose audit risks F are greater than the threshold for judging business and financial data audit risks.
[0033] Furthermore, the management module has a differentiation unit connected via a network, a configuration module and a creation module connected via a network, a classification unit and a connection unit connected via a network at its lower level, a push module, a risk control module and a maintenance module connected via a network, a recording unit connected via a network within the risk control module, and an interactive connection between the recording unit and the management module and the push module via a network.
[0034] Secondly, a multi-level audit-based integrated business and finance data processing method includes:
[0035] Upload business and financial data, and store them separately; iterate through each stored business and financial data, configure processing deadlines for each data point, sort the data based on these deadlines, create an audit user group topology, retrieve data from the sorted queues, and push the data to be audited to audit users within the audit user group topology; set up business and financial data audit risk monitoring logic, and monitor audit risks in real time based on this logic; set audit risk judgment thresholds for business and financial data, compare the results of each audit risk monitoring session with these thresholds to determine if audit risks exist; and provide feedback on the sources of audit risks for business and financial data.
[0036] Compared with known public technologies, the technical solution provided by this invention has the following beneficial effects:
[0037] This invention provides a multi-level audit-based integrated business and financial data processing method and system. During operation, this method and system provide intelligent push services for business and financial data audit processing by differentiating and managing business and financial data, configuring processing deadlines for business and financial data, and creating an audit user group topology. This reduces the cumbersome interaction and handover between audit users. Furthermore, based on business and financial data audit risk monitoring, it identifies business and financial data with audit risks and the audit personnel involved, further enhancing the system's management capabilities for both business and financial data and audit personnel, thus facilitating the progress of business and financial data audit work. Attached Figure Description
[0038] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.
[0039] Figure 1 This is a schematic diagram of the structure of a business and finance integrated data processing system based on multi-level review;
[0040] Figure 2 This is a flowchart illustrating a multi-level audit-based integrated business and finance data processing method. Detailed Implementation
[0041] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.
[0042] The present invention will be further described below with reference to embodiments.
[0043] Example 1:
[0044] This embodiment presents a business and finance integrated data processing system based on multi-level approval, such as... Figure 1 As shown, it includes:
[0045] Management module 1 is used to upload and store business and financial data.
[0046] During the upload phase, business and financial data are simultaneously tagged with text information containing the words "business" and "financial." The management module contains sub-modules, including:
[0047] The differentiation unit 11 is used to create differentiated storage intervals in the management module 1, traverse the business and financial data tag content uploaded in the management module 1, and store the business and financial data in different differentiated storage intervals based on the data tag content.
[0048] The business and financial data formats include images and text documents. After the management module 1 distinguishes and stores the business and financial data, it simultaneously performs a cleaning operation on the business and financial data to remove duplicate business and financial data.
[0049] Configuration module 2 is used to traverse the business and financial data stored in management module 1 and configure the processing period for the business and financial data.
[0050] During the configuration module 2 operation phase, system users access management module 1 to query target business and financial data in management module 1, configure processing time limits for business and financial data, and the process ends after all business and financial data stored in management module 1 has been configured with processing time limits.
[0051] Management module 1 runs in real time, and performs storage operations synchronously when new business and financial data are uploaded. Configuration module 2 runs in conjunction with management module 1, and configures the processing period for newly stored business and financial data in real time.
[0052] In this module, after the configuration module 2 configures the processing period for business and financial data, the management module 1 simultaneously sorts the business and financial data stored in the storage interval of each region based on the processing period, and generates a business and financial data queue, so that business and financial data with closer processing periods are arranged first.
[0053] Create module 3 to create the topology of the audit user group;
[0054] In Module 3, the topology for creating the user group for review is created. User information for review is uploaded synchronously, and a tree-like topology structure is used as the topology construction structure. The module has sub-modules, including:
[0055] The classification unit 31 is used to traverse the review user information uploaded in the creation module 3, classify the review users based on the review user information, and send each type of review user to the creation module 3 in sequence to create several secondary review user topologies.
[0056] Connection unit 32 is used to receive all secondary review user topologies created in creation module 3, and connect the secondary review user topologies to each other based on review user information to obtain the review user group topology;
[0057] The user information to be reviewed includes: job level, department, and supervising department. When classifying users by classification unit 31, each user in each category has only two job levels, and one job level corresponds to a unique number of users. The user with a unique job level is the user with the highest job level in that category. The supervising department in the information of the user with a unique job level is the same as the department in the information of all other users. In the second-level user topology creation stage, the user with a unique job level is the superior, and the other users are the subordinates.
[0058] Push module 4 is used to retrieve business and financial data based on the processing period configured in management module 1 and push it to the reviewing user.
[0059] During the operation of the push module 4, when retrieving business and financial data in the management module 1, business and financial data with near processing deadlines are retrieved first. When pushing to the review user, the review user is selected in the review user group topology. The review path is generated by the selected review user and all its superior review users in the review user group topology. The generated review path is applied to the review of the retrieved business and financial data.
[0060] When business and financial data are pushed to the reviewing user, the mobile computer device held by the reviewing user receives the business and financial data. After the reviewing user approves the business and financial data online based on the mobile computer, the reviewing user submits the approved business and financial data to the superior reviewing user.
[0061] Risk control module 5 is used to monitor the risks of business and financial data audit in real time, and to provide feedback on the monitoring results of business and financial data audit risks to the highest-level audit user in the audit user group topology;
[0062] Risk control module 5 has sub-modules, including:
[0063] Recording unit 51 is used to record relevant information about business and financial data during the audit process;
[0064] Each time business and financial data is approved and submitted to the superior reviewer, the recording unit 51 refreshes and runs once. Relevant information about business and financial data during the review process includes: review duration of business and financial data; review time of business and financial data; and fatigue level of the reviewers.
[0065] When the risk control module 5 sends the business and financial data audit risk monitoring results to the highest-level audit user, it creates a risk monitoring result data package based on the historical audit risk monitoring results of the same business and financial data. The risk monitoring results in the data package are sorted based on time sequence.
[0066] The monitoring logic for business and financial data audit risks in Risk Control Module 5 is represented as follows:
[0067]
[0068] In the formula: k represents the risk of auditing business and financial data; f[t∈(t)] min ,t max )] is the control function; t is the audit duration for business and financial data; (t min ,t max ) represents the preset health time range for business and financial data review; m represents the total amount of business and financial data reviewed by the reviewer in the past; d(t) represents the health time range for business and financial data review in the past. j t0) represents the time difference between the time of the j-th audit of business and financial data by the auditor and the time of the current audit of business and financial data; F represents the auditor's fatigue level factor;
[0069] Wherein, the control function f[t∈(t) min ,t max In )], t∈(t min ,t max If the condition is true, then f[t∈(t)] min ,t max)]=1, conversely, f[t∈(t min ,t max The value is a fixed value greater than 1 preset by the system user. Indicates to Find the mean. This indicates the centralized nature of the reviewers' processing of business and financial data. The smaller the value, the more concentrated the auditors are in processing business and financial data. F takes the value of an integer and is directly proportional to the auditor's current continuous online time.
[0070] The above logical formula is used to limit the monitoring logic for risks in business and financial data auditing;
[0071] After the business and financial data audit risk F is obtained, the business and financial data audit risk judgment threshold is set simultaneously. If any item in the data packet to which the business and financial data belongs exceeds the business and financial data audit risk judgment threshold, it is determined that the business and financial data has an audit risk. The risk control module 5 will then report this to the highest-level audit user in the audit user group topology. Otherwise, it will not report this to the highest-level audit user in the audit user group topology.
[0072] In Module 6, the source of audit risk for business and financial data is the audit user, that is, the audit user whose audit risk F exceeds the threshold for judging business and financial data audit risk.
[0073] Maintenance module 6 is used to obtain the source of business and financial data audit risks and audit users, and to stop all pushes of business and financial data to the audit users;
[0074] The management module 1 is internally connected to a differentiation unit 11 via a network. The management module 1 is also connected to a configuration module 2 and a creation module 3 via a network. The creation module 3 is internally connected to a classification unit 31 and a connection unit 32 via a network interaction. The creation module 3 is also connected to a push module 4, a risk control module 5, and a maintenance module 6 via a network interaction. The risk control module 5 is internally connected to a recording unit 51 via a network interaction. The recording unit 51 is interconnected with the management module 1 and the push module 4 via a network interaction.
[0075] In this embodiment, management module 1 uploads and stores business and financial data. Distinguishing unit 11 simultaneously creates distinguished storage intervals within management module 1, iterates through the marked content of the uploaded business and financial data, and stores the business and financial data in different distinguished storage intervals based on the marked content. Configuration module 2 subsequently iterates through the business and financial data stored in management module 1, configures processing deadlines for the business and financial data, and creation module 3 further creates a topology for the review user group. Classification unit 31 simultaneously iterates through the review user information uploaded in creation module 3, classifies the review users based on the review user information, and sequentially sends each type of review user to creation module 3 to create several secondary review user groups. The user topology, connection unit 32 receives all secondary review user topologies created in creation module 3 in real time, connects the secondary review user topologies based on review user information to obtain the review user group topology, and then pushes business and financial data to the review users based on the processing period configured in management module 1 based on the business and financial data. The risk control module 5 monitors the review risks of business and financial data in real time and feeds back the business and financial data review risk monitoring results to the highest-level review user in the review user group topology. Recording unit 51 records relevant information of business and financial data in real time during the review process. Finally, the maintenance module 6 obtains the review user from which the business and financial data review risk originates and ends all pushes of business and financial data to that review user.
[0076] In this embodiment, the system operation described in the above embodiments provides intelligent and logical push review services for business and financial data, alleviating the interaction pressure on reviewers at all levels and improving the efficiency of business and financial data review.
[0077] Example 2:
[0078] At the implementation level, based on Example 1, this example refers to... Figure 2 A more detailed description of the business-finance integrated data processing system based on multi-level approval in Example 1 is as follows:
[0079] A business-finance integrated data processing method based on multi-level approval includes the following steps:
[0080] Step 1: Upload business and financial data, and store the business and financial data separately;
[0081] Step 2: Traverse each stored business and financial data, configure the processing period for the business and financial data, sort the business and financial data based on the processing period, create an audit user group topology, retrieve the business and financial data from the sorted business and financial data queue, and select audit users in the audit user group topology to push the business and financial data to be audited to the audit users.
[0082] Step 3: Set up business and financial data audit risk monitoring logic, and monitor business and financial data audit risks in real time based on the monitoring logic;
[0083] Step 4: Set thresholds for assessing audit risks of business and financial data, compare the results of each audit risk monitoring of business and financial data with the thresholds, and determine whether there are audit risks in the business and financial data.
[0084] Step 5: Feedback on the sources of risk in the review of business and financial data.
[0085] In summary, the methods and systems described in the above embodiments, during operation, provide intelligent push services for the review and processing of business and financial data by distinguishing and managing business and financial data separately, configuring processing periods for business and financial data, and creating a user group topology for review. This reduces the cumbersome interaction and handover between review users. At the same time, based on the risk monitoring of business and financial data review, the system identifies business and financial data with review risks and the reviewers involved, further enhancing the system's management capabilities for both business and financial data and reviewers, and facilitating the progress of business and financial data review.
[0086] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A business-finance integrated data processing system based on multi-level approval, characterized in that, include: The management module (1) is used to upload and store business and financial data. The configuration module (2) is used to traverse the business and financial data stored in the management module (1) and configure the processing period for the business and financial data. Create module (3) to create the audit user group topology; The creation module (3) creates the topology of the review user group, synchronously uploads the review user information, and selects a tree topology structure as the topology construction structure. The creation module has sub-modules, including: The classification unit (31) is used to traverse the review user information uploaded in the creation module (3), classify the review users based on the review user information, and send each type of review user to the creation module (3) in turn to create several secondary review user topologies. The connection unit (32) is used to receive all the secondary review user topologies created in the creation module (3), and connect the secondary review user topologies to each other based on the review user information to obtain the review user group topology; The push module (4) is used to retrieve business and financial data based on the processing period configured for business and financial data and push it to the review user. During the operation phase of the push module (4), when retrieving business and financial data in the management module (1), business and financial data with the processing period approaching are retrieved first. When pushing to the review user, the review user is selected in the review user group topology. The selected review user and all its superior review users in the review user group topology are used to generate the review path. The generated review path is applied to the review of the retrieved business and financial data. The risk control module (5) is used to monitor the risks of business and financial data audits in real time, and to provide feedback on the monitoring results of business and financial data audit risks to the highest-level audit user in the audit user group topology; the risk control module (5) has sub-modules, including: Recording unit (51) is used to record relevant information about business and financial data during the audit process; The recording unit (51) refreshes once each time the business and financial data are approved and submitted to the superior reviewer. The relevant information of the business and financial data during the review process includes: the review duration of the business and financial data; the review time of the business and financial data; the fatigue level of the reviewers; when the risk control module (5) feeds back the business and financial data review risk monitoring results to the highest-level reviewer, it creates a risk monitoring result data package based on the historical review risk monitoring results of the same business and financial data, and the risk monitoring results in the data package are sorted based on time sequence. The monitoring logic for business and financial data audit risks in the risk control module (5) is expressed as follows: ； In the formula: Risks associated with auditing business and financial data; For control functions; The time required for reviewing business and financial data; The preset timeframe for reviewing business and financial data is the health timeframe. This represents the total amount of historical audited business and financial data by the auditors. The time difference between the j-th audit of business and financial data by the auditor and the current audit of business and financial data. For the fatigue level factor of the auditors; Among them, the control function middle, The conditions are established, =1, otherwise The value is a fixed value greater than 1 preset by the system user. Indicates to Find the mean. This indicates the centralized nature of the reviewers' processing of business and financial data. The smaller the size, the more centralized the auditors' review and processing of business and financial data. The value is an integer and is directly proportional to the reviewer's current continuous online time; The maintenance module (6) is used to obtain the source of business and financial data audit risk and audit user, and to end all push of business and financial data to the audit user.
2. The integrated business and financial data processing system based on multi-level review as described in claim 1, characterized in that, During the upload phase, the uploaded business and financial data are simultaneously tagged with text information containing the words "business" and "financial." The management module contains sub-modules, including: The differentiation unit (11) is used to create a differentiation storage range in the management module (1), traverse the business and financial data tag content uploaded in the management module (1), and store the business and financial data in different differentiation storage ranges based on the data tag content. The formats of business and financial data include images and text documents. After the management module (1) distinguishes and stores the business and financial data, it simultaneously performs a cleaning operation on the business and financial data to clean up duplicate business and financial data.
3. The integrated business and financial data processing system based on multi-level review according to claim 2, characterized in that, During the operation phase of the configuration module (2), the system user accesses the management module (1), queries the target business and financial data in the management module (1), configures the processing period for the business and financial data, and ends after all the business and financial data stored in the management module (1) have been configured with a processing period. The management module (1) runs in real time and performs storage operations synchronously when new business and financial data are uploaded. The configuration module (2) runs in conjunction with the management module (1) and configures the processing period for the newly stored business and financial data in real time. In this module, after the configuration module (2) configures the processing period for business and financial data, the management module (1) synchronously sorts the business and financial data stored in each storage interval based on the processing period, generates a business and financial data queue, and arranges the business and financial data with the processing period close to the front.
4. The integrated business and financial data processing system based on multi-level review according to claim 1, characterized in that, The user information to be reviewed includes: job level, department, and supervising department. When classifying users by classification unit (31), each user in each category has only two job levels, and one of the job levels corresponds to a unique number of users. The user with the unique job level is the user with the highest job level in that category. The supervising department in the information of the user with the unique job level is the same as the department in the information of all other users. In the second-level user topology creation stage, the user with the unique job level is the superior, and the other users are the subordinates.
5. The integrated business and financial data processing system based on multi-level review according to claim 1, characterized in that, When business and financial data are pushed to the reviewing user, the mobile computer device held by the reviewing user receives the business and financial data. After the reviewing user approves the business and financial data online via the mobile computer, the reviewing user submits the approved business and financial data to the superior reviewing user.
6. The integrated business and financial data processing system based on multi-level review according to claim 1, characterized in that, Risks related to the auditing of business and financial data After obtaining the data, the threshold for judging the audit risk of business and financial data is set synchronously. If any item in the data packet to which the business and financial data belong exceeds the threshold for judging the audit risk of business and financial data, it is determined that the business and financial data has audit risk. The risk control module (5) will then provide feedback to the highest-level audit user in the audit user group topology. Otherwise, it will not provide feedback to the highest-level audit user in the audit user group topology. The maintenance module (6) obtains the source of business and financial data audit risks from auditing users, i.e., business and financial data audit risks exceeding the threshold for business and financial data audit risk judgment. Source verified by the user.
7. The integrated business and financial data processing system based on multi-level review according to claim 1, characterized in that, The management module (1) is internally connected to a differentiation unit (11) via a network. The management module (1) is internally connected to a configuration module (2) and a creation module (3) via a network. The creation module (3) is internally connected to a classification unit (31) and a connection unit (32) via a network interaction. The creation module (3) is internally connected to a push module (4), a risk control module (5), and a maintenance module (6) via a network interaction. The risk control module (5) is internally connected to a recording unit (51) via a network interaction. The recording unit (51) is internally connected to the management module (1) via a network interaction with the push module (4).
8. A business-finance integrated data processing method based on multi-level review, wherein the method is an implementation method of the business-finance integrated data processing system based on multi-level review as described in any one of claims 1-7, characterized in that, Includes the following steps: Step 1: Upload business and financial data, and store the business and financial data separately; Step 2: Traverse each stored business and financial data, configure the processing period for the business and financial data, sort the business and financial data based on the processing period, create an audit user group topology, retrieve the business and financial data from the sorted business and financial data queue, and select audit users in the audit user group topology to push the business and financial data to be audited to the audit users. Step 3: Set up business and financial data audit risk monitoring logic, and monitor business and financial data audit risks in real time based on the monitoring logic; Step 4: Set thresholds for assessing audit risks of business and financial data, compare the results of each audit risk monitoring of business and financial data with the thresholds, and determine whether there are audit risks in the business and financial data. Step 5: Feedback on the sources of risk in the review of business and financial data.