An industry analysis and decision support system based on big data

Abstract

The application discloses an industry analysis and decision support system based on big data, which comprises a data collection module, a data processing module and a data application module, wherein the data collection module is connected with the data processing module and the data application module respectively. The data collection module is used for collecting industry-related data, the data processing module is used for processing, arranging and calculating and statistically processing the collected data, and the data application module is used for presenting the data processed by the data processing module to users in different ways and providing recommendations for the users through industry status, development and hot sensitive topics.

Description

Technical Field

[0001] This invention relates to the field of industry analysis, and in particular to an industry analysis and decision support system based on big data. Background Technology

[0002] In today's information-saturated era, the construction of industry analysis and decision support systems is crucial for enterprises to enhance their market competitiveness and achieve efficient operations.

[0003] In the prior art, reference patent CN117493412A discloses a digital base operation management system. This system improves operational management efficiency and provides high-quality data analysis results through automated data collection and processing. However, this system mainly focuses on the integration and analysis of internal enterprise data, and has limitations in terms of global insights at the industry level and grasp of hot and sensitive topics. Similarly, reference patent CN119149933A introduces an industrial decision support system based on big data and artificial intelligence technologies, which provides enterprises with accurate decision support through in-depth analysis of industrial data. Although this system shows significant advantages in improving production efficiency and product quality, there is still room for improvement in the flexibility of cross-domain information integration and decision support. In particular, in the face of rapidly changing market environments and complex industry trends, how to quickly obtain core industry information and make accurate decisions becomes a challenge. Summary of the Invention

[0004] This application provides an industry analysis and decision support system based on big data. The system includes a data collection module, a data processing module, and a data application module, wherein the data collection module is connected to the data processing module and the data application module, respectively.

[0005] The data collection module is used to collect industry-related data. The data processing module processes, organizes, and performs statistical calculations on the collected data. The data application module presents the data processed by the data processing module to users in different ways, providing recommendations based on the current state of the industry, its development, and hot and sensitive topics to help users make quick and correct decisions.

[0006] Preferably, the system also includes a data management module, which is connected to the data collection module and is used to organize and classify the data collected by the data collection module and establish a relevant database to improve the efficiency of data management and use.

[0007] Preferably, the data collection module collects web data and user-filled questionnaire information through a combination of web crawlers and client programs to ensure the comprehensiveness and timeliness of the data.

[0008] Preferably, the data processing module has multiple functional units, including but not limited to a data analysis unit, a data query unit, a data extraction unit, and a data operation unit, to achieve in-depth analysis and processing of the data.

[0009] Preferably, the data analysis unit includes one or more of a text mining module, a natural language processing module, a machine learning module, and a prediction algorithm module; the data query unit supports both structured and unstructured query statements; the data extraction unit can extract the information needed by the user from text data; and the data processing unit includes basic operations and logical operations to achieve complex data processing and analysis.

[0010] Preferably, the data application module presents the processed data to the user through visual graphics, lists, or mobile terminal applications to improve the readability and usability of the data.

[0011] The data application module includes a news and information unit, a report and document unit, an online consultation unit, and a decision analysis unit to meet users' needs in different scenarios.

[0012] Beneficial effects include improved decision-making efficiency, comprehensive and real-time data support, enhanced depth and breadth of data analysis, and diverse data presentation methods. The system can collect, process, and apply big data to provide users with industry analysis and decision support. It boasts advantages such as comprehensive data, strong real-time performance, powerful processing capabilities, and diverse presentation methods, effectively improving users' efficiency and accuracy in industry analysis and decision-making. Attached Figure Description

[0013] To more clearly illustrate the embodiments of this application, the accompanying drawings used in this application will be briefly described below.

[0014] Figure 1 Flowchart of an industry analysis and decision support system based on big data Detailed Implementation

[0015] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0016] like Figure 1As shown in the figure, this embodiment provides an industry analysis and decision support system based on big data, including a data collection module, a data processing module, and a data application module. The data collection module is connected to the data processing module and the data application module respectively. The data collection module is used to collect industry-related data. The data processing module is used to process, organize, and perform statistical calculations on the data collected by the data collection module. The data application module is used to present the data processed by the data processing module to users in different ways, and to provide recommendations to users based on the current status of the industry, its development, and hot and sensitive topics, so as to assist users in making correct decisions quickly.

[0017] Furthermore, it also includes a data management module, which is connected to the data collection module and is used to organize and classify the data collected by the data collection module and establish a relevant database.

[0018] The data collection module collects online data and user-filled questionnaire information through a combination of web crawlers and client programs.

[0019] The data processing module has multiple functional units, including a data analysis unit, a data query unit, a data extraction unit, and a data computation unit.

[0020] The data analysis unit includes one or more of the following modules: text mining module, natural language processing module, machine learning module, and prediction algorithm module.

[0021] The data query unit supports both structured and unstructured query statements.

[0022] The data extraction unit is able to extract the information needed by the user from text data.

[0023] The data processing unit includes basic operations and logical operations.

[0024] The data application module presents the processed data to the user through visual graphics, lists, or mobile terminal applications.

[0025] The data application module includes a news and information unit, a report and document unit, an online consultation unit, and a decision analysis unit.

[0026] The big data-based industry analysis / decision support system provided in this embodiment is mainly used by industry decision-makers. The system collects industry-related data by collecting network data and user-filled questionnaires, then processes, organizes, and statistically analyzes this data, and finally displays the processed data to users in the form of visual graphics, lists, or mobile terminal applications for easy and intuitive understanding.

[0027] The system can also push some hot and sensitive topics to users for industry decision-makers to analyze and think about, and assist them in making correct decisions quickly.

[0028] Specifically, the big data-based industry analysis / decision support system provided in this embodiment includes two main functions: data integration and data analysis.

[0029] First, the system can collect industry-related data through web crawlers and client programs, and store this data in a database.

[0030] To facilitate data querying and processing in the database, the system integrates both SQL and non-SQL data query functions. It supports not only simple SQL statements and parameter queries, but also complex queries such as string matching using regular expressions.

[0031] To facilitate comparison, analysis, and discussion of the query results, this embodiment can display the query results in various chart formats, including bar charts, pie charts, column charts, line charts, radar charts, etc.

[0032] In addition, the query results can be generated into a report and saved as a file or printed directly.

[0033] Secondly, the system can discover users' needs by analyzing their queries and usage behavior, and then recommend relevant information, reports, and documents to users in a targeted manner.

[0034] For example, if a user frequently searches for content in a certain field, the system may assume that the user is interested in that field and thus recommend more relevant information to the user within that field.

[0035] To achieve the above functions, the system needs to have the following technical capabilities: the ability to quickly obtain answers to specific questions from massive amounts of data. This capability mainly includes: distributed computing capabilities, high-speed data query capabilities, and the ability to perform rapid data mining and analysis on massive amounts of data.

[0036] The system's data storage layer needs to be able to achieve data persistence, scalability, and high availability, and also needs to be compatible with traditional relational databases or non-relational databases.

[0037] In this embodiment, databases such as MySQL, Oracle, Redis, and MongoDB can be selected; the application layer of the system needs to have flexible computing capabilities, such as various types of query interfaces and custom model algorithms.

[0038] In systems using a B / S architecture, these requirements can be achieved using web services.

[0039] The system can provide personalized content recommendations and decision support based on user behavior and needs.

[0040] For example, new and potentially interesting information can be recommended to users on a regular basis based on the types and frequency of their reading; better and more convenient access methods can be provided for users who frequently perform certain types of queries, and so on.

[0041] In these ways, the system can become an indispensable think tank member for every user, helping them make better decisions faster.

[0042] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A big data-based industry analysis and decision support system, characterized in that, It includes a data collection module, a data processing module, and a data application module; the data collection module is connected to the data processing module and the data application module respectively; the data collection module is used to collect industry-related data, the data processing module is used to process, organize, and perform statistical calculations on the data collected by the data collection module, and the data application module is used to present the data processed by the data processing module to users in different ways, providing recommendations to users based on industry status, development, and hot and sensitive topics, assisting users in making correct decisions quickly.

2. The industry analysis / decision support system based on big data according to claim 1, characterized in that, It also includes a data management module, which is connected to the data collection module and is used to organize and classify the data collected by the data collection module and establish a relevant database.

3. The industry analysis / decision support system based on big data according to claim 1, characterized in that, The data collection module collects online data and user-filled questionnaire information through a combination of web crawlers and client programs.

4. The industry analysis / decision support system based on big data according to claim 1, characterized in that, The data processing module has multiple functional units, including a data analysis unit, a data query unit, a data extraction unit, and a data computation unit.

5. The industry analysis / decision support system based on big data according to claim 4, characterized in that, The data analysis unit includes one or more of the following modules: text mining module, natural language processing module, machine learning module, and prediction algorithm module.

6. The industry analysis / decision support system based on big data according to claim 4, characterized in that, The data query unit supports both structured and unstructured query statements.

7. The industry analysis / decision support system based on big data according to claim 4, characterized in that, The data extraction unit is able to extract the information needed by the user from text data.

8. The industry analysis / decision support system based on big data according to claim 4, characterized in that, The data processing unit includes basic operations and logical operations.

9. The industry analysis / decision support system based on big data according to claim 1, characterized in that, The data application module presents the processed data to the user through visual graphics, lists, or mobile terminal applications.

10. The big data-based industry analysis / decision support system according to claim 1 or 9, characterized in that, The data application module includes a news and information unit, a report and document unit, an online consultation unit, and a decision analysis unit.

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