A centralized financial management system integrating business and finance

Abstract

The present invention relates to the field of financial management technology, and discloses a financial centralized management system that integrates business and finance, including an integrated data processing center for realizing real-time interaction and analysis of business data and financial data, and also including a multi-dimensional report generator that is signal-connected to the integrated data processing center. The generator can generate multi-dimensional and dynamic reports based on the data of real-time interaction between each independent financial department, providing accurate data support for corporate decision-making. The present invention realizes centralized management, real-time analysis and monitoring of financial data by constructing a financial centralized management system that integrates business and finance, thereby improving the level of financial management and risk control capabilities, and ensuring the healthy and stable development of the enterprise. On this basis, through deep learning and big data technology, the system can provide enterprises with more accurate decision-making support, help enterprises accurately grasp the pulse of the market, optimize resource allocation, and improve operating efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of financial management, and in particular to a centralized financial management system integrating business and finance. Background Art

[0002] Business-finance integration refers to the integration of business management and financial management, bringing business and finance together. This involves considering the overall enterprise perspective to determine whether business operations align with the group's development goals. Business departments should maintain operational thinking and risk awareness throughout the entire business process, clearly recognizing that business operations must create value and profits for the company while also managing and mitigating risks. Finance departments should be deeply involved in business activities, specifically by bringing financial management closer to the forefront of operations. Through data forecasting and analysis, these data should be fed back to business departments and decision-makers, enabling more scientific management decisions.

[0003] Currently, many government agencies, enterprises, and institutions have multiple branches or subsidiaries, each of which may have its own independent finance department. These departments maintain a decentralized management model, resulting in a post-bookkeeping model characterized by fragmented data, a large number of personnel, and weak controls. This decentralized management model not only affects financial management efficiency but also increases corporate risk.

[0004] The purpose of this invention is to build a centralized financial management system that integrates business and finance, enabling centralized management, real-time analysis, and monitoring of financial data, thereby improving financial management and risk control capabilities and ensuring the healthy and stable development of enterprises. Furthermore, through deep learning and big data technologies, the system can provide enterprises with more accurate decision-making support, helping them accurately grasp the pulse of the market, optimize resource allocation, and improve operational efficiency. Summary of the Invention

[0005] The purpose of the present invention is to provide a centralized financial management system that integrates business and finance to solve the problems raised in the above background technology.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a centralized financial management system integrating business and finance, comprising an integrated data processing center for realizing real-time interaction and analysis of business data and financial data, and a multi-dimensional report generator connected to the integrated data processing center by signals. The generator can generate multi-dimensional and dynamic reports based on the data of real-time interaction between each independent financial department, providing accurate data support for enterprise decision-making. The system also includes an intelligent budget management unit, which can automatically generate budget plans based on historical expenditure and income data and market dynamics, providing scientific and reasonable budget planning for enterprises. The intelligent budget management unit includes a financial accounting collection module, a management accounting bookkeeping module and a cost analysis module. The three modules work together to provide enterprises with comprehensive budget management services, so as to achieve accurate control of the enterprise's financial activities and further reduce unnecessary cost expenditures.

[0007] The financial accounting collection module is used to automatically collect and organize financial data to ensure the timeliness and accuracy of account management, while reducing manual errors and improving overall work efficiency;

[0008] The management accounting module is used to record and analyze various data of enterprise operations and provide decision support for management so that management can scientifically formulate strategic plans based on real-time data;

[0009] The cost analysis module is used to deeply explore the components of various costs, helping enterprises to discover potential cost savings, thereby optimizing resource allocation and improving enterprise profitability;

[0010] The system also includes historical expenditure and income data of business matters carried out by various business systems, which are fed back to the multi-dimensional accounting database of business matters through the data collection and entry platform, and are linked with the financial accounting collection module, management accounting bookkeeping module and cost analysis module to form an information closed loop with deep integration of business and finance, promoting the accuracy and efficiency of enterprise management decisions.

[0011] Preferably, the integrated data processing center signal is connected to an intelligent early warning module. The intelligent early warning module uses the financial indicators and thresholds preset by the data processing center. If financial expenditure is required, the actual financial expenditure data will be compared with the preset financial threshold. If the error between the actual financial expenditure data and the preset financial expenditure indicator does not exceed the preset error threshold, the integrated data processing center will automatically process the data, mainly based on the actual financial expenditure 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 intelligent early warning module will automatically start the early 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.

[0012] Preferably, the integrated data processing center signal is connected to a real-time monitoring module for fund flow, which is used to track the flow of funds in real time, improve the efficiency of fund use, ensure that various financial operations are within a reasonable range, and predict future financial trends through data analysis.

[0013] Preferably, the integrated data processing center is also signal-connected to a risk control submodule for timely identifying and preventing possible risks through historical data and market trend analysis, thereby reducing uncertainty in business operations.

[0014] Preferably, the integrated data processing center is also signal-connected to an optimization decision-making sub-module, which is used to use advanced data mining technology to provide enterprises with data-driven optimization suggestions, further helping enterprises to optimize resource allocation, so as to ensure that enterprises can maintain their competitiveness in a constantly changing market environment, and capture market dynamics in real time through deep learning algorithms, adjust corporate strategies in a timely manner, enhance the adaptability and risk resistance of enterprises, thereby improving the intelligence level of the entire system and meeting the financial management needs of enterprises in a complex economic environment.

[0015] Preferably, the integrated data processing center is also signal-connected with a variety of business process automation processing modules, which can be efficiently configured for different business scenarios to achieve automation of business processes, reduce manual intervention, and lower error rates.

[0016] Preferably, the integrated data processing center is also signal-connected to a user interface module, and the terminal of the user interface module is a user interface interactive all-in-one machine. The user operation interface end of the all-in-one machine includes an income registration form, an expenditure registration form, a budget registration form, an income and expenditure analysis form, monthly expenditure statistics, income detail query, expenditure detail query, home page, instructions for use, etc., so that corporate employees can intuitively operate and monitor various financial data, and provide customized data views for corporate leaders, so that decision makers can quickly grasp the financial health of the company, and with the help of graphical display and intelligent analysis tools, make complex data easy to understand.

[0017] Preferably, the integrated data processing center is also signal-connected to a cloud data backup and recovery module to ensure that the enterprise is fully protected in terms of data security, while supporting remote access from mobile devices to facilitate management to make decision-making references anytime and anywhere.

[0018] The present invention provides a centralized financial management system that integrates business and finance. It has the following beneficial effects:

[0019] (1) The present invention realizes all-round monitoring and management of enterprise financial activities by setting up an integrated data processing center, further improving the enterprise's operational efficiency. In conjunction with modules such as a multi-dimensional report generator, an intelligent early warning module, a real-time monitoring module for capital flow, and a variety of business process automation processing modules, it realizes real-time interaction and analysis of business data and financial data.

[0020] (2) This invention builds a centralized financial management system that integrates business and finance, enabling centralized management, real-time analysis, and monitoring of financial data, thereby improving financial management and risk control capabilities, and ensuring the healthy and stable development of enterprises. Furthermore, through deep learning and big data technologies, the system can provide enterprises with more accurate decision-making support, helping them accurately grasp the pulse of the market, optimize resource allocation, and improve operational efficiency.

[0021] (3) The present invention not only optimizes the budget planning process but also strengthens the internal cost control of the enterprise by setting up an intelligent budget management unit. Through continuous data analysis and model prediction, it helps enterprises adapt to market changes and reduce operating risks. In addition, the linkage effect of the system enables each business department to work more closely together, promotes the optimal allocation of resources, and lays a solid foundation for the long-term development of the enterprise. At the same time, by setting up a multi-dimensional accounting database for business matters, it realizes the efficient connection between business activities and financial data, so that enterprises can face a complex market environment. Among them, the data collection and entry platform is used for the rapid integration and accurate classification of data, ensuring the smooth flow of information, playing the role of pre-management budget of income and expenditure, and pre-reporting of budget income and expenditure, thereby effectively improving the transparency and flexibility of budget execution and enabling enterprises to respond quickly to market changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a block diagram of the connection between the integrated data processing center of the present invention and other modules;

[0023] Figure 2 This is a view of the intelligent budget management unit of the present invention;

[0024] Figure 3 This is a view of the user operation interface of the user interface interactive all-in-one machine of the present invention. DETAILED DESCRIPTION

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0026] 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, but are not to be construed as limiting the present invention.

[0027] Example 1:

[0028] A preferred embodiment of the financial centralized management system for business and financial integration provided by the present invention is as follows: Figure 1-3 As shown: A financial centralized management system for the integration of business and finance, including an integrated data processing center for realizing real-time interaction and analysis of business data and financial data, and also including a multi-dimensional report generator connected to the integrated data processing center by signal. The generator can generate multi-dimensional and dynamic reports based on the data of real-time interaction between independent financial departments, providing accurate data support for corporate decision-making. The integrated data processing center is signal-connected with an intelligent early warning module. The intelligent early warning module uses the financial indicators and thresholds preset by the data processing center. If financial expenditure is required, the actual financial expenditure data will be compared with the preset financial threshold. If the error between the actual financial expenditure data and the preset financial expenditure indicator does not exceed the preset error threshold, the integrated data processing center will automatically process the data, mainly based on the actual financial expenditure data, and automatically complete the financial expenditure approval process; on the contrary, if the error between the actual financial expenditure data and the preset financial expenditure indicator exceeds the preset threshold, the intelligent early warning module will automatically activate the early 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;

[0029] The integrated data processing center is connected to the real-time monitoring module of capital flow, which is used to track the flow of funds in real time, improve the efficiency of capital use, ensure that various financial operations are within a reasonable range, and predict future financial trends through data analysis;

[0030] The integrated data processing center is also connected to a risk control submodule, which is used to timely identify and prevent possible risks through historical data and market trend analysis, thereby reducing the uncertainty of enterprise operations;

[0031] The integrated data processing center is also connected to an optimization decision-making submodule, which uses advanced data mining technology to provide enterprises with data-driven optimization suggestions, further helping them optimize resource allocation to ensure they can maintain competitiveness in an ever-changing market environment. It also uses deep learning algorithms to capture market dynamics in real time, allowing for timely adjustments to corporate strategies and enhancing their adaptability and risk resistance, thereby improving the intelligence level of the entire system and meeting the financial management needs of enterprises in a complex economic environment.

[0032] The integrated data processing center is also connected to a variety of business process automation processing modules. These modules can be efficiently configured for different business scenarios to automate business processes, reduce manual intervention, and lower error rates.

[0033] The integrated data processing center is also signal-connected to a user interface module. The terminal of the user interface module is an interactive all-in-one user interface machine. The user interface of the all-in-one machine includes an income registration form, an expenditure registration form, a budget registration form, an income and expenditure analysis form, a monthly expenditure statistics, an income and expenditure detail query, a homepage, and instructions for use. This allows corporate employees to intuitively operate and monitor various financial data, and provides customized data views for corporate leadership, enabling decision makers to quickly grasp the company's financial health. With the help of graphical displays and intelligent analysis tools, complex data becomes easy to understand.

[0034] The integrated data processing center is also connected to a cloud-based data backup and recovery module to ensure that the company's data is fully protected. It also supports remote access via mobile devices, allowing management to make decisions anytime, anywhere.

[0035] In this embodiment, by setting up an integrated data processing center, all-round monitoring and management of the company's financial activities are achieved, further improving the company's operational efficiency. In conjunction with modules such as a multi-dimensional report generator, an intelligent early warning module, a real-time monitoring module for cash flow, and various business process automation processing modules, real-time interaction and analysis of business data and financial data are achieved.

[0036] Example 2:

[0037] See also Figure 1-Figure 3 , and based on the first embodiment, it is further obtained that: the system also includes an intelligent budget management unit, which can automatically generate a budget plan based on historical expenditure and income data and combined with market dynamics, providing scientific and reasonable budget planning for the enterprise. The intelligent budget management unit includes a financial accounting collection module, a management accounting bookkeeping module, and a cost analysis module. The three modules work together to provide the enterprise with a full range of budget management services, so as to achieve accurate control of the enterprise's financial activities and further reduce unnecessary cost expenditures;

[0038] The financial accounting collection module is used to automatically collect and organize financial data to ensure the timeliness and accuracy of account management, while reducing manual errors and improving overall work efficiency;

[0039] Management accounting module, used to record and analyze various data of enterprise operations, providing decision support for management so that management can formulate strategic plans scientifically based on real-time data;

[0040] The cost analysis module is used to deeply explore the components of various costs, helping enterprises to discover potential cost savings, thereby optimizing resource allocation and improving corporate profitability.

[0041] The system also includes historical expenditure and income data of business matters carried out by various business systems, which are fed back to the multi-dimensional accounting database of business matters through the data collection and entry platform, and are linked with the financial accounting collection module, management accounting bookkeeping module and cost analysis module to form an information closed loop with deep integration of business and finance, promoting the accuracy and efficiency of enterprise management decisions.

[0042] In this embodiment, the establishment of an intelligent budget management unit not only optimizes the budget planning process but also strengthens internal cost control. Through continuous data analysis and model forecasting, it helps the company adapt to market changes and reduce operational risks. Furthermore, the system's interconnectedness enables closer collaboration across business departments, promotes optimal resource allocation, and lays a solid foundation for the company's long-term development.

[0043] At the same time, by setting up a multi-dimensional accounting database for business matters, efficient connection between business activities and financial data is achieved, enabling enterprises to face complex market environments. Among them, the data collection and entry platform is used to quickly integrate and accurately classify data, ensuring the smooth flow of information, and playing a role in pre-management budgeting of income and expenditure, and pre-reporting of budget revenue and expenditure, thereby effectively improving the transparency and flexibility of budget execution and enabling enterprises to respond quickly to market changes.

[0044] When in use, first, the historical expenditure and income data of the business matters carried out by each business system are fed back to the multi-dimensional accounting database of the business matters through the data collection and entry platform. Among them, the data collection and entry platform is used to quickly integrate and accurately classify the data, ensuring the smooth flow of information, and playing the role of pre-management budget of income and expenditure, and pre-reporting the budget income and expenditure; then the financial accounting collection module collects and organizes financial data to ensure the timeliness and accuracy of account management and reduce manual errors. The management accounting bookkeeping module records and analyzes various data of enterprise operations to provide decision-making support for the management. It is convenient for management to formulate strategic plans scientifically based on real-time data. The cost analysis module conducts in-depth research on the components of various costs, helping enterprises to discover potential cost savings points, thereby optimizing resource allocation and improving corporate profitability. In conjunction with the financial accounting collection module, management accounting bookkeeping module and cost analysis module, an information closed loop with deep integration of business and finance is formed. During this process, the multi-dimensional report generator can generate multi-dimensional and dynamic reports based on the real-time interactive data of each independent financial department and send them to the integrated data processing center to realize real-time interaction and analysis of business data and financial data.

[0045] When funds need to be spent, the real-time monitoring module of capital flow is activated to track the flow of funds in real time to ensure that all financial operations are within a reasonable range. The intelligent early warning module is activated at this time. Through the financial indicators and thresholds preset by the data processing center, if financial expenditure is required, the actual financial expenditure data will be compared with the preset financial threshold. If the error between the actual financial expenditure data and the preset financial expenditure indicator does not exceed the preset error threshold, the integrated data processing center will automatically process the data through a variety of business process automation processing modules, mainly based on the actual financial expenditure data, and automatically complete the financial expenditure approval process; on the contrary, when the error exceeds the preset threshold, the intelligent early warning module will automatically activate the early warning mechanism and notify the relevant departments for review. If the review fails, the system will refuse to execute the expenditure, ensuring that the company's financial risks are under control, thereby forming an efficient and rigorous financial management system, and further strengthening the stability of the company's internal control.

[0046] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0047] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are 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 will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A centralized financial management system integrating business and finance, including an integrated data processing center for real-time interaction and analysis of business and financial data, and a multi-dimensional report generator connected to the integrated data processing center. This generator can generate multi-dimensional, dynamic reports based on real-time interactive data from independent financial departments, providing accurate data support for corporate decision-making. Features: The system also includes an intelligent budget management unit, which can automatically generate budget plans based on historical expenditure and income data and market dynamics, providing enterprises with scientific and reasonable budget planning. The intelligent budget management unit includes a financial accounting collection module, a management accounting bookkeeping module, and a cost analysis module. The three modules work together to provide enterprises with comprehensive budget management services, thereby achieving precise control of corporate financial activities and further reducing unnecessary cost expenditures. The financial accounting collection module is used to automatically collect and organize financial data to ensure the timeliness and accuracy of account management, while reducing manual errors and improving overall work efficiency; The management accounting module is used to record and analyze various data of enterprise operations and provide decision support for management so that management can scientifically formulate strategic plans based on real-time data; The cost analysis module is used to deeply explore the components of various costs, helping enterprises to discover potential cost savings, thereby optimizing resource allocation and improving enterprise profitability; The system also includes historical expenditure and income data of business matters carried out by various business systems, which are fed back to the multi-dimensional accounting database of business matters through the data collection and entry platform, and are linked with the financial accounting collection module, management accounting bookkeeping module and cost analysis module to form an information closed loop with deep integration of business and finance, promoting the accuracy and efficiency of enterprise management decisions.

2. A centralized financial management system for business and financial integration according to claim 1, characterized in that: The integrated data processing center is signal-connected to an intelligent early warning module. The intelligent early warning module uses the financial indicators and thresholds preset by the data processing center. If financial expenditure is required, the actual financial expenditure data will be compared with the preset financial threshold. If the error between the actual financial expenditure data and the preset financial expenditure indicator does not exceed the preset error threshold, the integrated data processing center will automatically process the data, based on the actual financial expenditure data, and automatically complete the financial expenditure approval process; On the contrary, if the error between the actual financial expenditure data and the preset financial expenditure indicators exceeds the preset threshold, the intelligent early warning module will automatically activate the early 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 company.

3. The centralized financial management system for business and financial integration according to claim 1 is characterized by: The integrated data processing center is signal-connected to a real-time fund flow monitoring module, which is used to track fund flows in real time, improve fund utilization efficiency, ensure that various financial operations are within a reasonable range, and predict future financial trends through data analysis.

4. The centralized financial management system for business and financial integration according to claim 1 is characterized by: The integrated data processing center is also signal-connected to a risk control submodule for timely identifying and preventing possible risks through historical data and market trend analysis, thereby reducing uncertainty in business operations.

5. The centralized financial management system for business and financial integration according to claim 1 is characterized by: The integrated data processing center is also signal-connected to an optimization decision-making sub-module, which is used to use advanced data mining technology to provide enterprises with data-driven optimization suggestions, further helping enterprises to optimize resource allocation to ensure that enterprises can maintain their competitiveness in a constantly changing market environment, and capture market dynamics in real time through deep learning algorithms, timely adjust corporate strategies, enhance the adaptability and risk resistance of enterprises, thereby improving the intelligence level of the entire system and meeting the financial management needs of enterprises in a complex economic environment.

6. The centralized financial management system for business and financial integration according to claim 1, characterized in that: The integrated data processing center is also signal-connected to a variety of business process automation processing modules, which can be efficiently configured for different business scenarios to achieve automation of business processes, reduce manual intervention, and lower error rates.

7. The centralized financial management system for business and financial integration according to claim 1, characterized in that: The integrated data processing center is also signal-connected to a user interface module, and the terminal of the user interface module is a user interface interactive all-in-one machine. The user operation interface end of the all-in-one machine includes an income registration form, an expenditure registration form, a budget registration form, an income and expenditure analysis form, monthly expenditure statistics, income detail query, expenditure detail query, home page, instructions for use, etc., so that corporate employees can intuitively operate and monitor various financial data, and provide customized data views for corporate leaders, so that decision makers can quickly grasp the financial health of the company, and with the help of graphical display and intelligent analysis tools, make complex data easy to understand.

8. The centralized financial management system for business and financial integration according to claim 1 is characterized by: The integrated data processing center is also connected to a cloud data backup and recovery module to ensure that the company's data security is fully protected. It also supports remote access from mobile devices, making it convenient for management to make decision-making references anytime and anywhere.

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