Intelligent financial management system based on data feature analysis

Abstract

The invention provides an intelligent financial management system based on data feature analysis, and relates to the technical field of financial management. The intelligent financial management system based on data feature analysis comprises a data acquisition module used for collecting various financial data inside and outside an enterprise; the data preprocessing module is used for carrying out standardization processing on the financial data; the feature extraction and analysis module is used for carrying out feature extraction and analysis on the preprocessed financial data; the model building and training module is used for building a prediction model based on the extracted features and training the model by using historical data; the financial management module is used for realizing comprehensive management of enterprise finance based on a feature analysis result; and the decision support module is used for presenting results of feature analysis and financial management to an enterprise manager in a visual form. The intelligent financial management system not only can improve the financial management efficiency of an enterprise and reduce the operation cost, but also can enhance the market competitiveness and adaptability of the enterprise.

Description

Technical Field

[0001] The present invention relates to the technical field of financial management, and in particular to an intelligent financial management system based on data feature analysis. Background Art

[0002] Intelligent financial management system technology uses advanced artificial intelligence, big data analysis and automation technology to achieve efficient management in the financial field. The system can automatically collect, integrate and analyze a large amount of financial data, generate accurate financial indicators and risk assessments through intelligent algorithms, and help companies make accurate financial decisions. The intelligent financial management system also has functions such as automated accounting, invoice recognition, and financial report generation, which improves financial work efficiency and reduces error rates. At the same time, the system monitors assets, cash flow, risk indicators, etc. in real time, promptly detects potential risks, and provides personalized warnings and suggestions, providing comprehensive financial management support for enterprises and helping them achieve financial digital transformation.

[0003] With the continuous expansion of enterprise scale and the increasing complexity of economic activities, traditional financial management methods are facing many challenges. The accumulation of large amounts of financial data, complex business processes and rapidly changing market environments all require financial management systems to have a higher level of intelligence and data analysis capabilities. The current financial management system has certain deficiencies in data processing efficiency, accuracy and decision support, and cannot meet the growing needs of enterprises. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies of the prior art, the present invention provides an intelligent financial management system based on data feature analysis, which solves the problems raised by the above-mentioned background technology.

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent financial management system based on data feature analysis, including a data acquisition module, a data preprocessing module, a feature extraction and analysis module, a model building and training module, a financial management module, and a decision support module;

[0008] The data collection module is responsible for collecting various financial data inside and outside the enterprise, and realizes real-time collection and update of financial data by connecting with the internal financial system, business system and external data interface of the enterprise;

[0009] The data preprocessing module is used to standardize the financial data, remove abnormal data and duplicate data, and classify and encode the financial data to provide a basis for subsequent feature analysis and financial management;

[0010] The feature extraction and analysis module uses advanced data analysis algorithms to extract and analyze features of preprocessed financial data;

[0011] The model building and training module builds a prediction model based on the extracted features and trains the model using historical data;

[0012] The financial management module realizes comprehensive management of enterprise finances based on the results of feature analysis;

[0013] The decision support module presents the results of feature analysis and financial management to enterprise managers in an intuitive form, providing strong support for decision-making.

[0014] Preferably, the financial data includes financial statements, transaction records, and market data; the financial statements include but are not limited to balance sheets, income statements, and cash flow statements; the transaction records include but are not limited to sales records, purchase records, and capital flow records; the market data includes but is not limited to stock prices, bond prices, and exchange rates; by integrating these data, the system can provide comprehensive financial analysis and management functions, thereby helping enterprises better understand their financial status, optimize resource allocation, and enhance market competitiveness.

[0015] Preferably, the standardization processing includes data cleaning, formatting and denoising; the data cleaning includes removing invalid data, correcting errors and filling missing values; the formatting includes unifying the data format; the denoising includes identifying and removing noise in the data; through these steps, the accuracy and reliability of data preprocessing are ensured, laying a solid foundation for subsequent feature extraction and analysis.

[0016] Preferably, the feature extraction and analysis module mines out valuable information hidden in the data by analyzing the trends, patterns and correlations of financial data. For example, it analyzes various indicators in financial statements to discover the financial status and operating trends of the enterprise; and analyzes customer behavior characteristics in transaction records to provide decision support for marketing and customer relationship management.

[0017] Preferably, the comprehensive management includes budget management, cost management, fund management, and financial report generation. The financial management module monitors the changes in financial data in real time, adjusts financial management strategies in a timely manner, and improves the financial benefits of the enterprise.

[0018] Preferably, the decision support module displays the financial status and operating trends of the enterprise through visual reports and data analysis charts, and provides risk warnings and decision-making suggestions to help managers make scientific and reasonable decisions.

[0019] (III) Beneficial effects

[0020] The present invention provides an intelligent financial management system based on data feature analysis, which has the following beneficial effects:

[0021] 1. Improve data processing efficiency and accuracy: Through data collection, preprocessing and feature analysis, the processing efficiency and accuracy of financial data are effectively improved, providing reliable data support for corporate financial management.

[0022] 2. Enhance decision-making support capabilities: The decision-making support module presents data analysis results to enterprise managers in an intuitive form, providing strong support for decision-making, helping managers make scientific and reasonable decisions, and improving the competitiveness of the enterprise.

[0023] 3. Realize intelligent financial management: The intelligent financial management system realizes comprehensive intelligent management of corporate finance, improves the efficiency and level of financial management, reduces the management cost of the enterprise, and improves the economic benefits of the enterprise.

[0024] 4. Adapt to the complex and changing market environment: The system can collect and analyze financial data in real time, adjust financial management strategies in a timely manner, and adapt to the complex and changing market environment, thus providing a guarantee for the sustainable development of the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the financial management system of the present invention. DETAILED DESCRIPTION

[0026] 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.

[0027] Example:

[0028] like Figure 1 As shown, an embodiment of the present invention provides an intelligent financial management system based on data feature analysis, including a data acquisition module, a data preprocessing module, a feature extraction and analysis module, a model building and training module, a financial management module, and a decision support module.

[0029] The data collection module is responsible for collecting various financial data inside and outside the enterprise, and realizes real-time collection and updating of financial data by connecting with the enterprise's internal financial system, business system and external data interface; specifically, financial data includes financial statements, transaction records, and market data; financial statements include but are not limited to balance sheets, income statements, and cash flow statements; transaction records include but are not limited to sales records, purchase records, and capital flow records; market data include but are not limited to stock prices, bond prices, and exchange rates.

[0030] As mentioned above, through the data collection module, and then integrating these data, the system can provide comprehensive financial analysis and management functions, thereby helping enterprises to better understand their financial status, optimize resource allocation, and enhance market competitiveness.

[0031] The data preprocessing module is used to standardize financial data, remove abnormal and duplicate data, and classify and encode financial data to provide a basis for subsequent feature analysis and financial management. Specifically, standardization includes data cleaning, formatting and denoising; data cleaning includes removing invalid data, correcting errors and filling missing values; formatting includes unifying data formats; denoising includes identifying and removing noise in the data.

[0032] As mentioned above, through the data preprocessing module, the accuracy and reliability of data processing are ensured, laying a solid foundation for subsequent feature extraction and analysis.

[0033] The feature extraction and analysis module uses advanced data analysis algorithms to extract and analyze the features of pre-processed financial data. Specifically, the feature extraction and analysis module mines valuable information hidden in the data by analyzing the trends, patterns and correlations of financial data. For example, it analyzes the various indicators in financial statements to discover the financial status and operating trends of the company; it analyzes the customer behavior characteristics in transaction records to provide decision support for marketing and customer relationship management.

[0034] As mentioned above, through feature extraction and analysis modules, the potential operating risks and opportunities of the enterprise can be discovered, providing strong data support for the enterprise's strategic planning and decision-making.

[0035] The model building and training module builds a prediction model based on the extracted features and trains the model using historical data. Specifically, the model building and training module uses machine learning algorithms, such as linear regression, decision trees, random forests, etc., to train a model that can predict future financial conditions and market trends based on historical financial data and market data. By continuously optimizing and adjusting model parameters, the prediction accuracy of the model is improved, thus providing a scientific basis for the company's long-term planning and short-term decision-making.

[0036] The financial management module, based on the results of feature analysis, realizes comprehensive management of corporate finances; specifically, comprehensive management includes budget management, cost management, capital management, and financial report generation. The financial management module monitors changes in financial data in real time, adjusts financial management strategies in a timely manner, and improves the financial benefits of the company.

[0037] As mentioned above, through the financial management module, the real-time monitoring and dynamic management of the enterprise's financial status can be achieved, ensuring the rational allocation and use of enterprise resources, thereby improving the overall operational efficiency of the enterprise. In addition, the financial management module can also automatically adjust the budget and cost control strategy according to market changes and internal conditions of the enterprise to adapt to changes in the external environment and enhance the market adaptability and competitiveness of the enterprise.

[0038] The decision support module presents the results of feature analysis and financial management to business managers in an intuitive form, providing strong support for decision-making; specifically, the decision support module displays the financial status and operating trends of the enterprise through visual reports and data analysis charts, and provides risk warnings and decision-making suggestions to help managers make scientific and reasonable decisions.

[0039] As mentioned above, the decision support module can effectively reduce decision risks and improve the efficiency and quality of decision-making. Managers can respond quickly based on this information and adjust the company's business strategy to cope with market changes and competitive challenges. In addition, the decision support module can also predict future development trends based on historical data and current financial conditions, providing strategic guidance for the long-term development of the company.

[0040] The intelligent financial management system based on data feature analysis proposed in the present invention improves data processing efficiency and accuracy: through data collection, preprocessing and feature analysis, it effectively improves the processing efficiency and accuracy of financial data, and provides reliable data support for enterprise financial management;

[0041] Enhance decision-making support capabilities: The decision-making support module presents data analysis results to enterprise managers in an intuitive form, providing strong support for decision-making. It helps managers make scientific and reasonable decisions and improve the competitiveness of the enterprise;

[0042] Realize intelligent financial management: The intelligent financial management system realizes comprehensive intelligent management of corporate finances, improves the efficiency and level of financial management, reduces the management costs of enterprises, and improves the economic benefits of enterprises

[0043] In summary, the intelligent financial management system of the present invention provides a comprehensive, efficient and intelligent financial management solution for enterprises by integrating advanced data analysis technology and financial management functions. It can not only improve the financial management efficiency of enterprises and reduce operating costs, but also enhance the market competitiveness and adaptability of enterprises, and provide strong support for the sustainable development of enterprises.

[0044] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent financial management system based on data feature analysis, characterized in that: It includes data acquisition module, data preprocessing module, feature extraction and analysis module, model building and training module, financial management module, and decision support module; The data collection module is responsible for collecting various financial data inside and outside the enterprise, and realizes real-time collection and update of financial data by connecting with the internal financial system, business system and external data interface of the enterprise; The data preprocessing module is used to standardize the financial data, remove abnormal data and duplicate data, and classify and encode the financial data to provide a basis for subsequent feature analysis and financial management; The feature extraction and analysis module uses advanced data analysis algorithms to extract and analyze features of preprocessed financial data; The model building and training module builds a prediction model based on the extracted features and trains the model using historical data; The financial management module realizes comprehensive management of enterprise finances based on the results of feature analysis; The decision support module presents the results of feature analysis and financial management to enterprise managers in an intuitive form, providing strong support for decision-making.

2. The intelligent financial management system based on data feature analysis according to claim 1 is characterized in that: The financial data includes financial statements, transaction records, and market data; the financial statements include but are not limited to balance sheets, income statements, and cash flow statements; the transaction records include but are not limited to sales records, purchase records, and capital flow records; the market data include but are not limited to stock prices, bond prices, and exchange rates.

3. The intelligent financial management system based on data feature analysis according to claim 1 is characterized in that: The standardization processing includes data cleaning, formatting and denoising; the data cleaning includes removing invalid data, correcting errors and filling missing values; the formatting includes unifying the data format; the denoising includes identifying and removing noise in the data.

4. The intelligent financial management system based on data feature analysis according to claim 1 is characterized in that: The feature extraction and analysis module mines out valuable information hidden in the data by analyzing the trends, patterns and correlations of financial data.

5. The intelligent financial management system based on data feature analysis according to claim 1 is characterized in that: The comprehensive management includes budget management, cost management, fund management, and financial report generation.

6. The intelligent financial management system based on data feature analysis according to claim 1 is characterized in that: The decision support module displays the financial status and operating trends of the enterprise through visual reports and data analysis charts, and provides risk warnings and decision-making suggestions to help managers make scientific and reasonable decisions.

Images