CN114862284A - Business intelligent module system based on cloud real-time semantic analysis - Google Patents
Business intelligent module system based on cloud real-time semantic analysis Download PDFInfo
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Abstract
The invention relates to the technical field of business intelligence, in particular to a business intelligent module system based on cloud real-time semantic analysis, which comprises a data extraction module, a data analysis module, a risk report module, a decision suggestion module, a foreground prediction module and a customer recommendation module, wherein the data extraction module is used for extracting business data information, associating, integrating and processing the business data information and transmitting the business data information to the data analysis module, and the data analysis module is used for analyzing the business data information integrated and processed by the data extraction module and generating corresponding analysis result information. And the sustainable management operation effect of the enterprise is ensured.
Description
Technical Field
The invention relates to the technical field of business intelligence, in particular to a business intelligent module system based on cloud real-time semantic analysis.
Background
The business is an organized commodity and service behavior for providing customers, most business behaviors are won by selling commodities or services at a price higher than cost, information resources are one of the most important resources of enterprises, developing the information resources is the starting point of enterprise informatization and is the homing of the enterprise informatization, and the traditional business service system is difficult to provide comprehensive business decision auxiliary information for the enterprises, reduces the decision efficiency and accuracy of the enterprises, and influences the sustainable management operation effect of the enterprises. In view of this, we propose a business intelligence module system based on cloud real-time semantic analysis.
Prior art CN104182389B proposes a big data analytics business intelligence service system based on semantics, which includes: the system comprises a data acquisition and storage subsystem, a real-time data stream processing subsystem, a storage subsystem, a bottom layer support subsystem and a service output subsystem; the data acquisition and storage subsystem comprises a distributed crawler module and a data source adapter which are mutually independent, the distributed crawler module and the data source adapter are respectively connected with the real-time data stream processing subsystem, the distributed crawler module is responsible for data source detection, internet data acquisition and HTML preprocessing, and the data source adapter is used for accessing third-party data resources to work; the real-time data stream processing subsystem is connected to the storage subsystem and comprises a temporary storage module and a data stream hook which are connected, and the temporary storage module temporarily stores data acquired in real time; the technical scheme can only provide analysis decisions of marketing and business opportunities, and cannot provide comprehensive business decision auxiliary information for enterprises.
Disclosure of Invention
The invention aims to provide a business intelligent module system based on cloud real-time semantic analysis, and aims to solve the problems that the traditional business service system provided in the background technology is difficult to provide comprehensive business decision auxiliary information for an enterprise, the decision efficiency and accuracy of the enterprise are reduced, and the sustainable management operation effect of the enterprise is influenced.
In order to achieve the purpose, the invention provides the following technical scheme:
a business intelligent module system based on cloud real-time semantic analysis comprises a data extraction module, a data analysis module, a risk reporting module, a decision suggestion module, a foreground prediction module and a client recommendation module, wherein,
the data extraction module is used for extracting commercial data information, associating and integrating the commercial data information and transmitting the commercial data information to the data analysis module;
the data analysis module is used for analyzing the commercial data information integrated and processed by the data extraction module and generating corresponding analysis result information;
the risk reporting module is used for generating a corresponding risk information report according to the corresponding analysis result information generated by the data analysis module and reporting and displaying the risk information report;
the decision opinion module is used for analyzing the risk information report generated by the risk reporting module and pushing decision opinion information corresponding to business plan rectification;
the foreground prediction module is used for analyzing the corresponding analysis result information generated by the data analysis module to predict business foreground information;
and the client recommending module is used for pushing developable target client information according to the analysis result information of the data analysis module.
Preferably, the business data information includes business funds, operating costs, order requirements, inventory supply, business competition, customer credit data information.
Preferably, the data extraction module includes an extraction unit and a data integration unit, and the specific operation flow of the data extraction module includes the following steps:
step a 1: the extraction unit is connected to a data source in a communication mode, and commercial data information is extracted from the data source in real time;
step a 2: and integrating and processing the business data information extracted by the extraction unit by using a data integration unit, and then transmitting the integrated and processed business data information.
Preferably, the data analysis module includes an information receiving unit, a cloud and an information analysis unit, the information receiving unit is configured to receive the business data information integrated and processed by the data extraction module to the cloud, and the information analysis unit is configured to analyze and process the business data information in the cloud according to a semantic analysis rule to generate analysis result information corresponding to the business data information.
Preferably, the data analysis module further includes a transmission unit, and the transmission unit is configured to transmit the analysis result information generated by the information analysis unit.
Preferably, the risk reporting module includes an information identification unit, a risk generation unit and a risk display unit, and the specific operation flow of the risk reporting module includes the following steps:
step b 1: receiving and reading analysis result information in the data analysis module by using the information identification unit;
step b 2: generating a corresponding risk information report according to the reading result of the information identification unit by using the risk generation unit;
step b 3: and reporting the risk information report generated by the risk generating unit by using the risk display unit.
Preferably, the decision opinion module comprises a risk analysis unit and an opinion information base, and the risk analysis unit is configured to associate and match the risk information report generated by the risk reporting module with the business plan rectification decision opinion information in the opinion information base.
Preferably, the foreground prediction module includes a prediction unit and a foreground information base, the prediction unit is configured to generate corresponding prediction information according to the analysis result information generated by the data analysis module, and the foreground information base is configured to generate corresponding business foreground information according to the prediction information generated by the prediction unit.
Preferably, the client recommendation module includes an information interpretation unit, a client pushing unit and a client information base, and the specific operation flow of the client recommendation module includes the following steps:
step c 1: the information interpretation unit is used for interpreting the analysis result information of the data analysis module;
step c 2: and analyzing the interpretation result information of the information interpretation unit by using the client pushing unit, and pushing the developable target client information in the client information base.
Preferably, the system further comprises an inquiry module, wherein the inquiry module is used for inquiring the content information in the risk reporting module, the decision opinion module, the foreground prediction module and the client recommendation module.
Compared with the prior art, the invention has the beneficial effects that:
the method and the system can display the risk information report according to the business data information report acquired in real time, correlate and match the risk information report with the corresponding business plan rectification decision suggestion information, predict business prospect information and push development target customer information according to the analysis result information, provide comprehensive business decision auxiliary information for enterprises, improve the decision efficiency and accuracy of the enterprises, and ensure the sustainable management operation effect of the enterprises.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic flow chart of the operation of the data extraction module of the present invention;
FIG. 3 is a schematic flow chart illustrating the operation of the risk reporting module of the present invention;
FIG. 4 is a schematic diagram of a foreground prediction module according to the present invention;
FIG. 5 is a schematic diagram of a client recommendation module according to the present invention;
FIG. 6 is a flow chart illustrating the operation of the client recommendation module in the present invention.
In the figure: 1. a data extraction module; 11. an extraction unit; 12. a data integration unit; 2. a data analysis module; 21. an information receiving unit; 22. a cloud end; 23. an information analysis unit; 24. a transmission unit; 3. a risk reporting module; 31. an information identification unit; 32. a risk generation unit; 33. a risk presentation unit; 4. a decision suggestion module; 41. a risk analysis unit; 42. an opinion information base; 5. a foreground prediction module; 51. a prediction unit; 52. a foreground information base; 6. a customer recommendation module; 61. an information interpretation unit; 62. a client push unit; 63. a customer information base; 7. and (5) a query module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to fig. 6, a technical solution provided by the present invention is:
a business intelligent module system based on cloud real-time semantic analysis comprises a data extraction module 1, a data analysis module 2, a risk reporting module 3, a decision suggestion module 4, a foreground prediction module 5 and a client recommendation module 6, wherein,
the data extraction module 1 is used for extracting commercial data information, performing correlation integration processing on the commercial data information and transmitting the commercial data information to the data analysis module 2;
the data analysis module 2 is used for analyzing the commercial data information integrated and processed by the data extraction module 1 and generating corresponding analysis result information;
the risk reporting module 3 is used for generating a corresponding risk information report according to the corresponding analysis result information generated by the data analysis module 2, and reporting and displaying the risk information report;
the decision opinion module 4 is used for analyzing the risk information report generated by the risk reporting module 3 and pushing the decision opinion information corresponding to the business plan rectification;
the foreground prediction module 5 is used for analyzing the corresponding analysis result information generated by the data analysis module 2 to predict business foreground information;
the client recommending module 6 is used for pushing developable target client information according to the analysis result information of the data analyzing module 2.
As a preferred implementation manner in this embodiment, the business data information includes business funds, operation cost, order demand, stock supply, business competition, and customer credit data information.
As a preferred implementation manner in this embodiment, the data extraction module 1 includes an extraction unit 11 and a data integration unit 12, and a specific operation flow of the data extraction module 1 includes the following steps:
step a 1: the extraction unit 11 is connected to a data source in a communication mode, and commercial data information is extracted from the data source in real time;
step a 2: the business data information extracted by the integrated processing extraction unit 11 is integrated by the data integration unit 12, and then the integrated processed business data information is transmitted.
As a preferred implementation manner in this embodiment, the data analysis module 2 includes an information receiving unit 21, a cloud 22, and an information analysis unit 23, where the information receiving unit 21 is configured to receive the business data information integrated and processed by the data extraction module 1 to the cloud 22, and the information analysis unit 23 is configured to analyze the business data information in the cloud 22 according to a semantic analysis rule, and generate analysis result information corresponding to the business data information.
As a preferred implementation manner in this embodiment, the data analysis module 2 further includes a transmission unit 24, and the transmission unit 24 is configured to transmit the analysis result information generated by the information analysis unit 23.
As a preferred implementation manner in this embodiment, the risk reporting module 3 includes an information identifying unit 31, a risk generating unit 32, and a risk displaying unit 33, and a specific operation flow of the risk reporting module 3 includes the following steps:
step b 1: receiving and reading the analysis result information in the data analysis module 2 by using the information recognition unit 31;
step b 2: a risk generation unit 32 is used for generating a corresponding risk information report according to the reading result of the information identification unit 31;
step b 3: the risk information report generated by the report risk generating unit 32 is performed by the risk presentation unit 33.
As a preferred implementation manner in this embodiment, the decision opinion module 4 includes a risk analysis unit 41 and an opinion information base 42, and the risk analysis unit 41 is configured to match the risk information report generated by the risk reporting module 3 with the business plan rectification decision opinion information in the opinion information base 42.
As a preferred implementation manner in this embodiment, the foreground prediction module 5 includes a prediction unit 51 and a foreground information base 52, the prediction unit 51 is configured to generate corresponding prediction information according to the analysis result information generated by the data analysis module 2, and the foreground information base 52 is configured to generate corresponding business foreground information according to the prediction information generated by the prediction unit 51.
As a preferred implementation manner in this embodiment, the client recommendation module 6 includes an information interpretation unit 61, a client pushing unit 62, and a client information library 63, and a specific operation flow of the client recommendation module 6 includes the following steps:
step c 1: the information interpretation unit 61 is used for interpreting the analysis result information of the data analysis module 2;
step c 2: the client pushing unit 62 is used for analyzing the interpretation result information of the information interpretation unit 61 and pushing the developable target client information in the client information base 63.
As a preferred implementation manner in this embodiment, the system further includes an inquiry module 7, and the inquiry module 7 is configured to inquire content information in the risk reporting module 3, the decision suggestion module 4, the foreground prediction module 5, and the client recommendation module 6.
In summary, the present invention can display the risk information report according to the business data information report acquired in real time, and associate and match the risk information report with the corresponding business plan rectification decision suggestion information, predict business prospect information and push development target customer information according to the analysis result information, provide comprehensive business decision auxiliary information for the enterprise, improve the decision efficiency and accuracy of the enterprise, and ensure the sustainable management operation effect of the enterprise.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The utility model provides a commercial intelligent module system based on real-time semantic analysis of high in the clouds which characterized in that: comprises a data extraction module (1), a data analysis module (2), a risk reporting module (3), a decision suggestion module (4), a prospect prediction module (5) and a client recommendation module (6),
the data extraction module (1) is used for extracting commercial data information, associating and integrating the commercial data information and transmitting the commercial data information to the data analysis module (2);
the data analysis module (2) is used for analyzing the commercial data information integrated and processed by the data extraction module (1) and generating corresponding analysis result information;
the risk reporting module (3) is used for generating a corresponding risk information report according to the corresponding analysis result information generated by the data analysis module (2), and reporting and displaying the risk information report;
the decision opinion module (4) is used for analyzing the risk information report generated by the risk reporting module (3) and pushing decision opinion information corresponding to business plan rectification;
the foreground prediction module (5) is used for analyzing the corresponding analysis result information generated by the data analysis module (2) to predict business foreground information;
the client recommending module (6) is used for pushing developable target client information according to the analysis result information of the data analyzing module (2).
2. The cloud-based real-time semantic analysis business intelligence module system of claim 1, further comprising: the business data information includes business funds, operating costs, order requirements, inventory supplies, business competitions, customer credit data information.
3. The cloud-based real-time semantic analysis business intelligence module system of claim 1, further comprising: the data extraction module (1) comprises an extraction unit (11) and a data integration unit (12), and the specific operation flow of the data extraction module (1) comprises the following steps:
step a 1: the extraction unit (11) is used for being connected with a data source in a communication mode, and commercial data information is extracted from the data source in real time;
step a 2: and integrating and processing the business data information extracted by the extraction unit (11) by using a data integration unit (12), and then transmitting the business data information subjected to integration and processing.
4. The cloud-based real-time semantic analysis business intelligence system of claim 1, wherein: the data analysis module (2) comprises an information receiving unit (21), a cloud end (22) and an information analysis unit (23), wherein the information receiving unit (21) is used for receiving the commercial data information integrated and processed by the data extraction module (1) to the cloud end (22), and the information analysis unit (23) is used for analyzing and processing the commercial data information in the cloud end (22) according to a semantic analysis rule to generate analysis result information corresponding to the commercial data information.
5. The cloud-based real-time semantic analysis business intelligence module system of claim 4, wherein: the data analysis module (2) further comprises a transmission unit (24), and the transmission unit (24) is used for transmitting the analysis result information generated by the information analysis unit (23).
6. The cloud-based real-time semantic analysis business intelligence module system of claim 1, further comprising: the risk reporting module (3) comprises an information identification unit (31), a risk generation unit (32) and a risk display unit (33), and the specific operation process of the risk reporting module (3) comprises the following steps:
step b 1: receiving and reading analysis result information in the data analysis module (2) by using the information identification unit (31);
step b 2: generating a corresponding risk information report by the risk generation unit (32) according to the reading result of the information identification unit (31);
step b 3: reporting the risk information report generated by the risk generating unit (32) by using the risk display unit (33).
7. The cloud-based real-time semantic analysis business intelligence module system of claim 1, further comprising: the decision opinion module (4) comprises a risk analysis unit (41) and an opinion information base (42), wherein the risk analysis unit (41) is used for associating and matching the risk information report generated by the risk reporting module (3) with the business plan rectification decision opinion information in the opinion information base (42).
8. The cloud-based real-time semantic analysis business intelligence module system of claim 1, further comprising: the foreground prediction module (5) comprises a prediction unit (51) and a foreground information base (52), wherein the prediction unit (51) is used for generating corresponding prediction information according to the analysis result information generated by the data analysis module (2), and the foreground information base (52) is used for generating corresponding business foreground information according to the prediction information generated by the prediction unit (51).
9. The cloud-based real-time semantic analysis business intelligence module system of claim 1, further comprising: the client recommendation module (6) comprises an information interpretation unit (61), a client pushing unit (62) and a client information base (63), and the specific operation flow of the client recommendation module (6) comprises the following steps:
step c 1: the information interpretation unit (61) is used for interpreting the analysis result information of the data analysis module (2);
step c 2: analyzing the interpretation result information of the information interpretation unit (61) by using the client pushing unit (62), and pushing the extension target client information in the client information base (63).
10. The cloud-based real-time semantic analysis business intelligence module system of claim 1, further comprising: the system is characterized by further comprising an inquiry module (7), wherein the inquiry module (7) is used for inquiring the content information in the risk reporting module (3), the decision opinion module (4), the prospect prediction module (5) and the client recommendation module (6).
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Application publication date: 20220805 |