SYSTEM FOR EVALUATING IMPACT OF FINANCIAL ACCOUNTING IN DECISION MAKING PROCESS OF BUSINESS, SHARE TRADING, AND WORKING METHOD THEREOF

Abstract

The present invention relates to a system and method for evaluating the impact of financial accounting data on business decision-making and share trading activities. The system comprises data acquisition modules linked to various internal and external sources, including a company’s ERP system, financial management systems, and market trading platforms. These modules collect real-time financial and market data using APIs, web scraping, and IoT sensors. The system includes secure APIs for interfacing with external trading systems, blockchain-based ledgers for secure transaction recording, and a CPU that processes data using statistical models, deep learning algorithms, and reinforcement learning techniques. A decision analysis unit simulates potential business outcomes and trading scenarios using predictive and prescriptive analytics, while edge computing capabilities enable real-time decision-making. The processed data is displayed through an interactive visualization interface comprising charts, graphs, dashboards, 3D modeling, and augmented reality overlays, allowing stakeholders to make informed decisions. The system also features a user interface with voice recognition and natural language processing for continuous model improvement, ultimately bridging the gap between financial accounting and strategic business planning.

Specification

Description:[013] The following sections of this article will provide various embodiments of the current invention with references to the accompanying drawings, whereby the reference numbers utilised in the picture correspond to like elements throughout the description. However, this invention is not limited to the embodiment described here and may be embodied in several other ways. Instead, the embodiment is included to ensure that this disclosure is extensive and complete and that individuals of ordinary skill in the art are properly informed of the extent of the invention. Numerical values and ranges are given for many parts of the implementations discussed in the following thorough discussion. These numbers and ranges are merely to be used as examples and are not meant to restrict the claims' applicability. A variety of materials are also recognised as fitting for certain aspects of the implementations. These materials should only be used as examples and are not meant to restrict the application of the innovation.
[014] Referring now to the drawings, these are illustrated in FIG. 1, the system incorporates hardware elements, such as sensors, data storage units, and processing modules, to facilitate a continuous flow of financial and market data. The data acquisition modules are linked to the company's ERP (Enterprise Resource Planning), financial management systems, and market trading platforms, ensuring the integration of all relevant accounting and trading data. The modules include secure APIs to interface with external trading systems, blockchain-based ledgers for secure transaction recording, and IoT sensors for monitoring physical assets that contribute to financial data.
[015] In accordance with another embodiment of the present invention, The CPU utilizes a combination of statistical models, deep learning algorithms, and reinforcement learning techniques to process data and extract insights. The decision analysis unit employs both predictive and prescriptive analytics to simulate potential business outcomes and trading scenarios under various conditions, thereby providing a clear understanding of the influence of financial accounting data on strategic decisions and market opportunities. The decision analysis unit also features edge computing capabilities, allowing for real-time processing of critical trading decisions without relying solely on cloud infrastructure.
[016] In accordance with another embodiment of the present invention, the visualization interface is designed to display the processed data in an intuitive manner, utilizing charts, graphs, dashboards, and scenario-based models. The interface supports 3D modeling of financial data, AR-based overlays, and custom widgets to enhance the analytical experience. This interface helps business users and investors assess financial health, identify areas needing intervention, and evaluate the impact of financial and trading decisions on overall business performance and market positions.
[017] In accordance with another embodiment of the present invention, the method for evaluating the impact of financial accounting in decision-making processes and share trading activities involves the following steps:
Collecting real-time financial accounting and market data through data acquisition modules, including APIs, web scraping, and IoT sensors.
Aggregating and processing the financial and market data using the CPU, supported by hardware accelerators, to extract key financial metrics, trading signals, and trends.
Evaluating potential impacts on decision-making and trading opportunities through the decision analysis unit using predictive and prescriptive analytics, including deep learning and reinforcement learning models.
Displaying the analysis results on the visualization interface, including augmented reality-enhanced visualizations, allowing stakeholders and investors to make informed decisions based on accounting and market data insights.
Receiving user feedback through the user interface module, using voice recognition and NLP capabilities, for continuous improvement of decision and trading models.
[018] The system offers real-time data acquisition and processing, allowing stakeholders to make decisions based on the most up-to-date financial information.
The use of advanced machine learning models and artificial intelligence enables predictive insights into both business and market scenarios, improving the accuracy of decision-making.
By simulating potential business and trading scenarios, the system helps stakeholders evaluate various strategies, thereby improving resource allocation and reducing risks.
[019] In conclusion, the present invention provides a comprehensive system for evaluating the impact of financial accounting data on both business decision-making and share trading activities. By integrating multiple data sources, advanced processing capabilities, and interactive visualization tools, the system effectively bridges the gap between financial accounting and strategic business planning. The system's use of predictive and prescriptive analytics, combined with real-time data processing and user-friendly interfaces, empowers stakeholders to make timely and informed decisions, ultimately leading to enhanced business performance and market competitiveness.
[020] The benefits and advantages that the present invention may offer have been discussed above with reference to particular embodiments. These benefits and advantages are not to be interpreted as critical, necessary, or essential features of any or all of the embodiments, nor are they to be read as any elements or constraints that might contribute to their occurring or becoming more evident.
[021] Although specific embodiments have been used to describe the current invention, it should be recognized that these embodiments are merely illustrative and that the invention is not limited to them. The aforementioned embodiments are open to numerous alterations, additions, and improvements. These adaptations, changes, additions, and enhancements are considered to be within the purview of the invention. , Claims:1. A system for evaluating the impact of financial accounting data on business decision-making and share trading activities, comprising:
a plurality of data acquisition modules configured to collect real-time financial accounting and market data from internal and external sources, wherein the data acquisition modules are linked to a company's ERP system, financial management systems, and market trading platforms;
secure APIs for interfacing with external trading systems;
a blockchain-based ledger for securely recording transactions;
IoT sensors for monitoring physical assets that contribute to financial data;
a central processing unit (CPU) configured to aggregate and process the collected financial and market data using statistical models, deep learning algorithms, and reinforcement learning techniques;
a decision analysis unit configured to employ predictive and prescriptive analytics to simulate potential business outcomes and trading scenarios under various conditions;
an edge computing module configured to enable real-time processing of trading decisions without relying solely on cloud infrastructure; and
a visualization interface configured to display processed data using charts, graphs, dashboards, scenario-based models, 3D modeling, and augmented reality (AR) overlays.
2. The system as claimed in claim 1, wherein the data acquisition modules are configured to collect data using APIs, web scraping techniques, and IoT sensors, thereby ensuring comprehensive real-time monitoring of financial and market conditions.
3. The system as claimed in claim 1, wherein the decision analysis unit utilizes predictive and prescriptive analytics to evaluate potential impacts on decision-making and trading opportunities, including deep learning and reinforcement learning models for generating predictive insights.
4. The system as claimed in claim 1, wherein the visualization interface comprises: charts, graphs, and dashboards to provide intuitive representations of financial data; scenario-based models to simulate various business outcomes; 3D modeling of financial data; and AR-based overlays and custom widgets to enhance the analytical experience for business users and investors.
5. The system as claimed in claim 1, further comprising a user interface module with voice recognition and natural language processing (NLP) capabilities, configured to receive user feedback for continuous improvement of decision-making and trading models.
6. A method for evaluating the impact of financial accounting in decision-making processes and share trading activities, comprising:
a) collecting real-time financial accounting and market data through data acquisition modules, including APIs, web scraping, and IoT sensors;
b) aggregating and processing the collected data using a CPU, supported by hardware accelerators, to extract key financial metrics, trading signals, and trends;
c) evaluating potential impacts on decision-making and trading opportunities through a decision analysis unit using predictive and prescriptive analytics, including deep learning and reinforcement learning models;
d) displaying analysis results on a visualization interface, including augmented reality-enhanced visualizations, allowing stakeholders to make informed decisions; and
e) receiving user feedback through a user interface module, using voice recognition and NLP capabilities, for continuous improvement of decision and trading models.
7. The system as claimed in claim 1, wherein the use of advanced machine learning models and artificial intelligence enables predictive insights into both business and market scenarios, thereby improving the accuracy of decision-making and reducing risks.
8. The system as claimed in claim 1, wherein the edge computing module allows for real-time data processing and decision-making, thereby minimizing latency in critical trading decisions.
9. The method as claimed in claim 6, wherein the simulated business and trading scenarios help stakeholders evaluate resource allocation strategies and reduce associated risks.
10. The system as claimed in claim 1, wherein the integration of multiple data sources, advanced processing capabilities, and interactive visualization tools bridges the gap between financial accounting and strategic business planning, enabling enhanced business performance and market competitiveness.

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