Integrated platform based on deep business and financial integration

Abstract

The invention relates to the technical field of business and financial fusion, and discloses an integrated platform based on deep business and financial fusion, comprising a comprehensive data processing center which is in communication connection with a payment management medium station, a financial data management medium station and a business data management medium station. The payment management middle platform, the financial data management middle platform and the business data management middle platform form a business and financial integrated management middle platform. The financial data set and the business data set are transmitted to the cloud computing platform through the financial data management middle platform and the business data management middle platform, efficient utilization and deep mining of data are achieved, data support is provided for strategic decision making of enterprises, a comprehensive business and financial integration integrated platform is created, and the business and financial integration platform is high in practicability. The financial management platform integrates advanced information technology and management concept, not only optimizes the financial management process, but also improves the response speed of enterprises to market changes, and enhances the accuracy of decision making.

Description

Technical Field

[0001] The present invention relates to the technical field of business-finance integration, and specifically to an integrated platform based on deep business-finance integration. Background Art

[0002] Business-finance integration refers to the combination of business management and financial management, the integration of business and finance, and the consideration of whether business development is in line with the development goals of the group from the perspective of the enterprise as a whole. The business department should have business thinking and risk awareness throughout the entire process of business development, and clearly realize that business development needs to create value and profits for the company, and control and avoid risks. The financial department should go deep into business activities, especially move financial management to the front end of the business, and provide feedback to the business department and decision-makers through data forecasting and analysis, so that the company's management decisions are more scientific.

[0003] At present, most groups and their subsidiaries are connected with multiple payment institutions or banks, which makes management difficult. They have to reconcile multiple accounts with multiple payment institutions or banks, and there are many capital accounts, which makes it difficult to settle and split accounts with upstream and downstream partners. Financial reconciliation, splitting, settlement, and fund management are handled manually, which is labor-intensive and inefficient.

[0004] At present, in order to improve the level of modernization of enterprise management, medium and large enterprises and government and enterprise units have introduced and used digital information system tools. However, due to the independence of information systems, data incompatibility and information islands often occur in various systems, making it extremely cumbersome for corporate financial and business personnel to process system data. It is not only time-consuming and error-prone, but also poor data sharing hinders the maximization of corporate economic benefits.

[0005] Therefore, the present invention aims to provide an efficient and intelligent integrated platform for deep business and financial integration, which integrates business and financial management to achieve the organic integration of data flow, capital flow and information flow, ensure the optimal allocation of enterprise resources, improve decision-making efficiency and reduce operating costs. Summary of the invention

[0006] The purpose of the present invention is to provide an integrated platform based on deep business and financial integration to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an integrated platform based on deep business-finance integration, including a comprehensive data processing center, wherein the comprehensive data processing center is communicatively connected to a payment management middle platform, a financial data management middle platform, and a business data management middle platform, wherein the payment management middle platform, the financial data management middle platform, and the business data management middle platform constitute an integrated business-finance management middle platform, and each middle platform realizes real-time data sharing through information interaction, realizes deep integration of business and finance, improves data processing efficiency, and optimizes enterprise resources under the premise of ensuring information security;

[0008] The payment management platform is used to optimize the payment process, improve the efficiency of capital circulation, and solve the problems of inconsistent payment interfaces for enterprises, repeated docking of payment institutions, and inability to manage payment flows in a unified manner;

[0009] The financial data management platform monitors and analyzes various financial data in real time, provides strong support for decision-making, and solves the problems of scattered enterprise data, difficulty in manual aggregation, difficulty in manual reconciliation, and inability to manage data in a unified manner;

[0010] The business data management middle platform is responsible for integrating business data, optimizing resource allocation, improving the transparency and efficiency of business processes, solving the problem of information islands between business and finance, further reducing operating costs, achieving collaborative work between departments within the enterprise, improving overall operational efficiency, and realizing integrated management.

[0011] Preferably, the payment management platform at least includes:

[0012] A processor for processing payment requests, optimizing payment structures, achieving unified access and scheduling of multiple payment methods, and providing payment security, effectively reducing transaction risks. At the same time, through efficient data processing capabilities, it improves the competitiveness of enterprises in a complex market environment and ensures transparency and traceability of enterprises in the payment process;

[0013] A storage device for storing various payment information to ensure data security and facilitate subsequent audits and inquiries;

[0014] an application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor;

[0015] a real-time monitoring module and a risk warning module, wherein at least one of the real-time monitoring module and the risk warning module is stored in a memory and configured to be executed by at least one processor;

[0016] The real-time monitoring module is responsible for real-time monitoring of the payment process to avoid inconsistent payment interfaces and repeated docking of payment institutions, thus ensuring that transactions comply with regulatory requirements;

[0017] The risk warning module provides timely feedback on payment anomalies, automatically triggers the warning mechanism, effectively prevents potential risks, and reduces potential risks and losses.

[0018] Preferably, the risk warning module presets a payment threshold through the comprehensive data processing center. If payment is required, the actual financial payment data will be compared with the preset payment threshold. If the error between the actual financial payment data and the preset financial payment indicator does not exceed the preset error threshold, the comprehensive data processing center will automatically perform data processing and automatically complete the financial expenditure approval process; conversely, if the error between the actual financial expenditure data and the preset financial expenditure indicator exceeds the preset threshold, the risk warning module intervenes and automatically activates the warning mechanism, notifying relevant departments to conduct an audit, timely discovering and warning of potential financial risks, and ensuring the financial stability of the enterprise.

[0019] Preferably, the financial data management center includes a data acquisition module, the data acquisition module is signal-connected to a data preprocessing module, the data preprocessing module is signal-connected to a data analysis module, and the data analysis module is signal-connected to a data integration module;

[0020] The data collection module is used to collect internal and external financial data of the enterprise, and through intelligent analysis algorithms, it deeply mines and accurately predicts various types of data to help the enterprise grasp market dynamics; the data preprocessing module is responsible for cleaning and standardizing the various types of collected financial data, and processing missing values, outliers and duplicate data; the data analysis module, this module deeply mines the payment data through efficient algorithms, analyzes and extracts financial reports that are valuable to corporate decision-making, and helps the enterprise accurately grasp the pulse of the market; the data integration module integrates financial reports that are valuable to corporate decision-making, integrates various types of financial data sets, and forms a unified data view, so that the enterprise can comprehensively review its financial status.

[0021] Preferably, the financial data management center also includes a data anomaly processing and reporting module, which can detect data anomalies in a timely manner, generate detailed reports, and take prompt measures, such as isolating abnormal data to prevent it from affecting the overall data quality. At the same time, the module will promptly feedback the exception handling situation to relevant departments, so that relevant departments can adjust strategies in a timely manner, optimize decision-making processes, and further improve corporate financial management efficiency and risk prevention and control capabilities.

[0022] Preferably, the financial data management middle platform further includes a financial system architecture design module, the financial system architecture design module is signal-connected to a financial system deployment module, and the financial system deployment module is signal-connected to a backup and recovery module A;

[0023] The financial system architecture design module is responsible for designing the overall architecture of the system, which includes data storage, computing and network architecture, planning data lake, data warehouse and real-time data processing functions; the financial system deployment module is responsible for deploying the designed system architecture to the cloud computing platform and transmitting the financial data set to the cloud computing platform; the backup and recovery module A is responsible for implementing the backup and recovery strategy; the financial data management middle platform also includes a system monitoring module A, which is responsible for monitoring the system operation status, ensuring efficient collaboration between modules, and effectively ensuring data security and integrity.

[0024] Preferably, the business data management middle platform includes a data warehouse for storing various types of data, including structured data, unstructured data, offline data and real-time data; big data middleware, which provides big data computing services, R&D kits and data analysis and presentation tools; data asset management, which classifies and manages data, such as vertical data, public data and extracted data; a data acquisition module, which uses various technologies (such as Kafka, Jdbc, Ftp, Sqoop) to safely, completely and efficiently collect data from different data sources; a data processing module, which uses technologies such as MapReduce and Storm to clean, convert and merge raw data; a data mart, which uses technologies such as GreenPlum and distributed MySQL database to store business-themed data to form multiple business data sets; data services, which provide data services to the outside world through Restful API and other methods; data security and governance, which realizes data security monitoring and management, including data desensitization, encryption, digital watermarking, and permission management.

[0025] Preferably, the business data management middle station also includes a business system architecture design module, the business system architecture design module is signal-connected to a business system deployment module, and the business system deployment module is signal-connected to a backup and recovery module B;

[0026] The business system architecture design module is responsible for designing the overall architecture of the system; the business system deployment module is responsible for deploying the designed system architecture to the cloud computing platform and transmitting the business data set to the cloud computing platform; the backup and recovery module B is responsible for implementing the backup and recovery strategy; the business data management middle platform also includes a system monitoring module B, which is responsible for monitoring the system operation status, ensuring efficient collaboration between modules, and effectively ensuring data security and integrity.

[0027] The present invention provides an integrated platform based on deep business and financial integration. It has the following beneficial effects:

[0028] (1) The present invention sets up a payment management platform, a financial data management platform and a business data management platform. Through information interaction between the platforms, real-time data sharing is achieved, and deep integration of business and finance is realized, thereby improving data processing efficiency. Under the premise of ensuring information security, enterprise resources are optimally allocated, achieving full coverage and efficient management of enterprise finance and business processes. This not only improves the internal management level of the enterprise, but also provides strong data support for the enterprise in external market competition.

[0029] (2) The present invention transmits financial data sets and business data sets to the cloud computing platform through the financial data management middle platform and the business data management middle platform, realizes efficient use and deep mining of data, provides data support for the strategic decision-making of the enterprise, and creates a comprehensive business-finance integration platform that integrates advanced information technology and management concepts. The platform not only optimizes the financial management process, but also improves the enterprise's response speed to market changes and enhances the accuracy of decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is the business and financial integrated management platform view of the present invention;

[0031] Figure 2 This is the payment management middle platform view of the present invention;

[0032] Figure 3 It is the financial data management middle platform view of the present invention;

[0033] Figure 4 This is the business data management middle platform view of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0036] Embodiment 1:

[0037] A preferred embodiment of an integrated platform based on deep business and financial integration provided by the present invention is as follows: Figure 1-4As shown: an integrated platform based on deep business and financial integration, including a comprehensive data processing center, which is connected to the payment management center, the financial data management center and the business data management center, which form a business and financial integrated management center, and the various centers can realize real-time data sharing through information interaction, realize deep integration of business and finance, improve data processing efficiency, and optimize enterprise resources under the premise of ensuring information security;

[0038] Payment management platform, used to optimize payment processes, improve capital flow efficiency, and solve problems such as inconsistent payment interfaces for enterprises, repeated docking of payment institutions, and inability to manage payment flows in a unified manner;

[0039] The financial data management platform monitors and analyzes all kinds of financial data in real time, provides strong support for decision-making, and solves the problems of scattered enterprise data, difficulty in manual aggregation, difficulty in manual reconciliation, and inability to manage data in a unified manner;

[0040] The business data management center is responsible for integrating business data, optimizing resource allocation, improving the transparency and efficiency of business processes, solving the problem of information islands between business and finance, further reducing operating costs, achieving collaborative operations between various departments within the enterprise, improving overall operational efficiency, and achieving integrated management;

[0041] In this embodiment, by setting up a payment management middle platform, a financial data management middle platform and a business data management middle platform, information interaction is used between the middle platforms to achieve real-time data sharing, achieve deep integration of business and finance, improve data processing efficiency, and optimize enterprise resources while ensuring information security, thereby achieving full coverage and efficient management of enterprise finances and business processes. This not only improves the internal management level of the enterprise, but also provides strong data support for the enterprise in external market competition.

[0042] Embodiment 2:

[0043] See also Figure 1-Figure 4 , and based on the first embodiment, it is further obtained that the payment management middle station at least includes:

[0044] A processor for processing payment requests, optimizing payment structures, achieving unified access and scheduling of multiple payment methods, and providing payment security, effectively reducing transaction risks. At the same time, through efficient data processing capabilities, it improves the competitiveness of enterprises in a complex market environment and ensures transparency and traceability of enterprises in the payment process;

[0045] A storage device for storing various payment information to ensure data security and facilitate subsequent audits and inquiries;

[0046] an application, wherein at least one application is stored in the memory and configured to be executed by at least one processor;

[0047] a real-time monitoring module and a risk warning module, wherein at least one of the real-time monitoring module and the risk warning module is stored in the memory and configured to be executed by at least one processor;

[0048] The real-time monitoring module is responsible for real-time monitoring of the payment process to avoid inconsistent payment interfaces and repeated docking of payment institutions, thus ensuring that transactions comply with regulatory requirements;

[0049] The risk warning module provides timely feedback on payment anomalies and automatically triggers the warning mechanism to effectively prevent potential risks and reduce potential risks and losses.

[0050] The risk warning module uses the payment threshold preset by the integrated data processing center. If payment is required, the actual financial payment data will be compared with the preset payment threshold. If the error between the actual financial payment data and the preset financial payment index does not exceed the preset error threshold, the integrated data processing center will automatically process the data and automatically complete the financial expenditure approval process; conversely, if the error between the actual financial expenditure data and the preset financial expenditure index exceeds the preset threshold, the risk warning module will intervene and automatically start the warning mechanism, notify the relevant departments to conduct an audit, and promptly discover and warn of potential financial risks to ensure the financial stability of the enterprise;

[0051] In this embodiment, by setting up efficient collaboration between the risk warning module and the payment management center, the company's financial risk prevention and control capabilities are further strengthened, ensuring the compliance and security of the company in the payment process.

[0052] Embodiment three:

[0053] See also Figure 1-Figure 4 , and on the basis of the first and second embodiments, it is further obtained that: the financial data management center includes a data acquisition module, the data acquisition module signal is connected to the data preprocessing module, the data preprocessing module signal is connected to the data analysis module, and the data analysis module signal is connected to the data integration module;

[0054] The data collection module is used to collect internal and external financial data of the enterprise. Through intelligent analysis algorithms, it conducts in-depth mining and accurate prediction of various types of data to help enterprises grasp market dynamics. The data preprocessing module is responsible for cleaning and standardizing various types of collected financial data, and processing missing values, outliers and duplicate data. The data analysis module uses efficient algorithms to conduct in-depth mining of payment data, analyze and extract financial reports that are valuable for corporate decision-making, and help enterprises accurately grasp the pulse of the market. The data integration module integrates financial reports that are valuable for corporate decision-making, integrates various types of financial data sets, and forms a unified data view, so that enterprises can comprehensively review their financial status.

[0055] The financial data management platform also includes a data anomaly processing and reporting module, which can detect data anomalies in a timely manner, generate detailed reports, and take prompt measures, such as isolating abnormal data to prevent it from affecting the overall data quality. At the same time, the module will promptly feedback the abnormal processing situation to the relevant departments, so that the relevant departments can adjust strategies in a timely manner, optimize decision-making processes, and further improve the efficiency of corporate financial management and risk prevention and control capabilities;

[0056] The financial data management center also includes a financial system architecture design module, the financial system architecture design module signal is connected to the financial system deployment module, and the financial system deployment module signal is connected to the backup and recovery module;

[0057] The financial system architecture design module is responsible for designing the overall architecture of the system, which includes data storage, computing and network architecture, and planning data lakes, data warehouses and real-time data processing functions; the financial system deployment module is responsible for deploying the designed system architecture to the cloud computing platform and transmitting the financial data set to the cloud computing platform; the backup and recovery module A is responsible for implementing the backup and recovery strategy; the system monitoring module A is responsible for monitoring the system operation status, ensuring efficient collaboration between modules, and effectively ensuring data security and integrity;

[0058] In this embodiment, by setting up a financial data management middle platform, all-round monitoring of the company's financial activities is achieved, which effectively improves the scientific nature and foresight of decision-making, enhances the core competitiveness of the company, and maintains a high degree of sensitivity and rapid response to financial risks in an ever-changing market environment, allowing the company to move forward steadily in the fierce market competition, while also laying a solid data foundation for the long-term development of the company.

[0059] Embodiment 4:

[0060] See also Figure 1-Figure 4, and on the basis of the first, second and third embodiments, it is further obtained that: the business data management middle platform includes a data warehouse for storing various types of data, including structured data, unstructured data, offline data and real-time data; big data middleware, providing big data computing services, R&D kits and data analysis and presentation tools; data asset management, classifying and managing data, such as vertical data, public data and extracted data; data acquisition module, using various technologies (such as Kafka, Jdbc, Ftp, Sqoop) to collect data from different data sources safely, completely and efficiently; data processing module, using MapReduce and Storm and other technologies to clean, convert and merge raw data; data mart, using GreenPlum and distributed MySQL database and other technologies to store business thematic data, forming multiple business data sets; data service, providing data services to the outside through Restful API and other methods; data security and governance, realizing data security monitoring and management, including data desensitization, encryption, digital watermarking, and permission management;

[0061] The business data management middle platform also includes a business system architecture design module, the business system architecture design module signal is connected to the business system deployment module, and the business system deployment module signal is connected to the backup and recovery module B;

[0062] The business system architecture design module is responsible for designing the overall architecture of the system; the business system deployment module is responsible for deploying the designed system architecture to the cloud computing platform and transmitting the business data set to the cloud computing platform; the backup and recovery module B is responsible for implementing the backup and recovery strategy; the business data management middle platform also includes a system monitoring module B, which is responsible for monitoring the system operation status, ensuring efficient collaboration between modules, and effectively ensuring data security and integrity.

[0063] When in use, the risk warning module uses the payment indicators and thresholds preset by the integrated data processing center. When the enterprise needs to make a financial payment, the actual financial payment data will be compared and analyzed in detail with the preset payment threshold. If the error between the actual financial payment data and the preset financial payment indicator does not exceed the preset error threshold, the integrated data processing center will automatically process the data and automatically complete the approval process of financial expenditures based on the actual financial payment data. This process will greatly simplify the procedures for financial approval and improve the operational efficiency of the enterprise;

[0064] However, if the error between the actual financial expenditure data and the preset financial expenditure indicators exceeds the preset threshold, the risk warning module will immediately intervene and automatically start the warning mechanism. At this time, the system will promptly notify the relevant departments to conduct an audit in order to timely discover and warn of potential financial risks. After receiving the warning notice, the relevant departments will quickly take measures to conduct a detailed review of the financial data to ensure the sound operation of the company's finances. This mechanism can effectively prevent and control financial risks, ensure the financial security of the company, and thus provide solid financial guarantees for the development of the company;

[0065] Then, through the financial data management middle platform and the business data management middle platform, the financial data set and the business data set are transmitted to the cloud computing platform to achieve efficient use and deep mining of data, provide data support for the company's strategic decision-making, and create a comprehensive business and financial integration platform that integrates advanced information technology and management concepts. This platform not only optimizes the financial management process, but also improves the company's response speed to market changes and enhances the accuracy of decision-making.

[0066] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0067] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An integrated platform based on deep business and financial integration, including a comprehensive data processing center, characterized by: The comprehensive data processing center is communicatively connected with the payment management center, the financial data management center and the business data management center. The payment management center, the financial data management center and the business data management center form an integrated business and financial management center. The various centers can realize real-time data sharing through information interaction, realize deep integration of business and finance, improve data processing efficiency, and optimize the allocation of enterprise resources under the premise of ensuring information security; The payment management platform is used to optimize the payment process, improve the efficiency of capital circulation, and solve the problems of inconsistent payment interfaces for enterprises, repeated docking of payment institutions, and inability to manage payment flows in a unified manner; The financial data management platform monitors and analyzes various financial data in real time, provides strong support for decision-making, and solves the problems of scattered enterprise data, difficulty in manual aggregation, difficulty in manual reconciliation, and inability to manage data in a unified manner; The business data management middle platform is responsible for integrating business data, optimizing resource allocation, improving the transparency and efficiency of business processes, solving the problem of information islands between business and finance, further reducing operating costs, achieving collaborative work between departments within the enterprise, improving overall operational efficiency, and realizing integrated management.

2. The integrated platform based on deep business and financial integration according to claim 1 is characterized by: The payment management platform at least includes: A processor for processing payment requests, optimizing payment structures, achieving unified access and scheduling of multiple payment methods, and providing payment security, effectively reducing transaction risks. At the same time, through efficient data processing capabilities, it improves the competitiveness of enterprises in a complex market environment and ensures transparency and traceability of enterprises in the payment process; A storage device for storing various payment information to ensure data security and facilitate subsequent audits and inquiries; an application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor; a real-time monitoring module and a risk warning module, wherein at least one of the real-time monitoring module and the risk warning module is stored in a memory and configured to be executed by at least one processor; The real-time monitoring module is responsible for real-time monitoring of the payment process to avoid inconsistent payment interfaces and repeated docking of payment institutions, thus ensuring that transactions comply with regulatory requirements; The risk warning module provides timely feedback on payment anomalies, automatically triggers the warning mechanism, effectively prevents potential risks, and reduces potential risks and losses.

3. The integrated platform based on deep business and financial integration according to claim 2 is characterized by: The risk warning module uses the payment threshold preset by the comprehensive data processing center. If payment is required, the actual financial payment data will be compared with the preset payment threshold. If the error between the actual financial payment data and the preset financial payment indicator does not exceed the preset error threshold, the comprehensive data processing center will automatically process the data and automatically complete the financial expenditure approval process; conversely, if the error between the actual financial expenditure data and the preset financial expenditure indicator exceeds the preset threshold, the risk warning module will intervene and automatically start the warning mechanism, notify the relevant departments to conduct an audit, and promptly discover and warn of potential financial risks to ensure the financial stability of the enterprise.

4. The integrated platform based on deep business and financial integration according to claim 1 is characterized by: The financial data management center includes a data acquisition module, the data acquisition module is signal-connected to a data preprocessing module, the data preprocessing module is signal-connected to a data analysis module, and the data analysis module is signal-connected to a data integration module; The data collection module is used to collect internal and external financial data of the enterprise, and through intelligent analysis algorithms, conduct in-depth mining and accurate prediction of various types of data to help enterprises grasp market trends; The data preprocessing module is responsible for cleaning and standardizing the collected financial data, and processing missing values, outliers, and duplicate data; Data analysis module, which uses efficient algorithms to deeply mine payment data, analyze and extract financial reports that are valuable for corporate decision-making, and help companies accurately grasp the pulse of the market; The data integration module integrates financial reports that are valuable for corporate decision-making, integrates various financial data sets, and forms a unified data view, allowing companies to comprehensively review their financial status.

5. The integrated platform based on deep business and financial integration according to claim 1 is characterized by: The financial data management middle platform also includes a data anomaly processing and reporting module, which can detect data anomalies in a timely manner, generate detailed reports, and take prompt measures, such as isolating abnormal data to prevent it from affecting the overall data quality. At the same time, the module will promptly feedback the exception handling situation to the relevant departments, so that the relevant departments can adjust strategies in a timely manner, optimize decision-making processes, and further improve the company's financial management efficiency and risk prevention and control capabilities.

6. The integrated platform based on deep business and financial integration according to claim 1 is characterized by: The financial data management center also includes a financial system architecture design module, the financial system architecture design module signal is connected to the financial system deployment module, and the financial system deployment module signal is connected to the backup and recovery module A; The financial system architecture design module is responsible for designing the overall architecture of the system, which includes data storage, computing and network architecture, and planning data lakes, data warehouses and real-time data processing functions; The financial system deployment module is responsible for deploying the designed system architecture to the cloud computing platform and transmitting the financial data set to the cloud computing platform; the backup and recovery module A is responsible for implementing the backup and recovery strategy; the financial data management center also includes a system monitoring module A, which is responsible for monitoring the system operation status, ensuring efficient collaboration between modules, and effectively ensuring data security and integrity.

7. The integrated platform based on deep business and financial integration according to claim 1 is characterized by: The business data management platform includes a data warehouse for storing various types of data, including structured data, unstructured data, offline data and real-time data; big data middleware, which provides big data computing services, R&D kits and data analysis and presentation tools; data asset management, which classifies and manages data, such as vertical data, public data and extracted data; a data acquisition module, which uses various technologies (such as Kafka, Jdbc, Ftp, Sqoop) to collect data from different data sources safely, completely and efficiently; a data processing module, which uses technologies such as MapReduce and Storm to clean, convert and merge raw data; a data mart, which uses technologies such as GreenPlum and distributed MySQL database to store business-specific data and form multiple business data sets; and a data service, which provides data services to the outside world through RestfulAPI and other methods. Data security and governance to achieve secure monitoring and management of data, including data desensitization, encryption, digital watermarking, and permission management.

8. The integrated platform based on deep business and financial integration according to claim 1 is characterized by: The business data management middle platform also includes a business system architecture design module, the business system architecture design module signal is connected to the business system deployment module, and the business system deployment module signal is connected to the backup and recovery module B; The business system architecture design module is responsible for designing the overall architecture of the system; The business system deployment module is responsible for deploying the designed system architecture to the cloud computing platform and transmitting the business data set to the cloud computing platform; the backup and recovery module B is responsible for implementing the backup and recovery strategy; the business data management center also includes a system monitoring module B, which is responsible for monitoring the system operation status, ensuring efficient collaboration between modules, and effectively ensuring data security and integrity.

Images