CN115471272A - Business marketing big data analysis system, method and device - Google Patents
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Abstract
The invention discloses a business marketing big data analysis system, a method and a device, which comprise a central processing unit, a database, a sales data acquisition unit, a sales data analysis unit and a sales prediction formulation unit, wherein the output end of the central processing unit is in communication connection with the database, and a sales data storage module and an acquisition data backup module are arranged in the database.
Description
Technical Field
The invention belongs to the technical field of marketing big data analysis, and particularly relates to a commercial marketing big data analysis system, a commercial marketing big data analysis method and a commercial marketing big data analysis device.
Background
With the rapid development of internet technology, the internet has become an important channel for people to quickly acquire, publish and transmit information, electronic commerce has also been developed rapidly, domestic enterprises are experiencing unprecedented marketing environment changes, big data application is more and more extensive, marketing based on big data is an important field of big data application, enterprises can generate a large amount of data in each link of operation, and in the enterprises, the analysis of the data has important significance, and the data deeply mines generated data analysis reports and how to make data analysis work, thereby playing a crucial role in operation and strategy adjustment of the enterprises.
The invention content is as follows:
the present invention is directed to solving the above problems, and provides a system, a method and a device for analyzing business marketing big data, which solve the problems mentioned in the background art.
In order to solve the above problems, the present invention provides a technical solution:
the utility model provides a big data analysis system of commercial marketing, includes central processing unit, database, sales data acquisition unit, sales data analysis unit and sells and estimate the formulation unit, central processing unit's output communication is connected with the database, the inside of database is provided with sales data storage module and acquires the backup module of data, the output communication of database is connected with sales data acquisition unit, the output communication of sales data acquisition unit is connected with sales data analysis unit, the output of database is connected with the input communication of sales data analysis unit, the output communication of sales data analysis unit is connected with the sale and estimates the formulation unit, estimate central processing unit's output and the input communication of selling the formulation unit and be connected.
Preferably, the central processing unit is used for carrying out overall management and receiving and sending instructions on the database, the sales data acquisition unit, the sales data analysis unit and the sales forecast formulation unit; the database is used for storing the past sales data and the acquired sales data in a distinguishing way; the sales data acquisition unit is used for acquiring sales data of the user, and performing classified statistics and comparison processing on the sales data; the sales data analysis unit is used for interactively comparing the sales data with the market data and carrying out deep analysis; the sales forecast formulating unit is used for formulating sales quantity and sales patterns according to the large environment.
Preferably, the sales data acquisition unit comprises a data acquisition module, a data marking module, a classification statistical module, a data comparison module and a result uploading module, wherein the output end of the data acquisition module is in communication connection with the input end of the data marking module, the output end of the data marking module is in communication connection with the input end of the classification statistical module, the output end of the classification statistical module is in communication connection with the input end of the data comparison module, and the output end of the data comparison module is in communication connection with the input end of the result uploading module.
Preferably, the data acquisition module is used for acquiring sales data uploaded by a login user and sending the acquired sales data to the data marking module; the data marking module is used for marking available data in the acquired data and sending the marked data to the classification statistical module; the classification statistical module is used for carrying out segmentation processing on the data according to the product type; the data comparison module is used for comparing the segmented data with the earlier-stage data in the same time period and sending the comparison result to the result uploading module; and the result uploading module is used for sending the obtained comparison result to the sales data analysis unit.
Preferably, the sales data analysis unit comprises a data receiving module, a data interaction module, a data estimation module, an analysis processing module and an output module, wherein the output end of the data receiving module is in communication connection with the input end of the data interaction module, the output end of the data interaction module is in communication connection with the input end of the data estimation module, the output end of the data estimation module is in communication connection with the input end of the analysis processing module, and the output end of the analysis processing module is in communication connection with the input end of the output module.
Preferably, the data receiving module is used for receiving the comparison result and the sales data sent by the result uploading module and sending the acquired data to the data interaction module; the data interaction module is used for comparing the obtained sales data with the sales data of similar products in the market to obtain the root cause of the sales condition; the data pre-estimating module is used for estimating the corresponding sale limit of the product according to the sales of the similar products in the market; the analysis processing module is used for analyzing the sales data and the pre-estimation data according to the marketing big data and obtaining an analysis result; the output module is used for outputting a graphical report according to the existing sales data and the estimated sales data.
Preferably, the sales estimation formulating unit comprises a target group determining module, a large environment determining module, a sales data formulating module, a sales mode formulating module and a simulation display module, the output end of the target group determining module is in communication connection with the input end of the large environment determining module, the output end of the large environment determining module is in communication connection with the output end of the sales data formulating module, the output end of the sales data formulating module is in communication connection with the input end of the sales mode formulating module, and the output end of the sales mode formulating module is in communication connection with the input end of the simulation display module.
Preferably, the target group determination module is used for acquiring a consumption target group according to the type of the product and classifying the customers of the object to be marketed; the big environment determining module is used for acquiring the sale big environment condition of the current market; the sales data formulating module is used for formulating sales data of the products according to the current sales environment and consumer groups; the sales pattern making module is used for making a corresponding sales pattern according to the target consumer group and the sales data of the product; and the simulation display module is used for outputting a simulation video according to the formulated sales data and mode.
A business marketing big data analysis method, comprising the steps of:
s1, carrying out feature vector marking on sales data uploaded by a client, highlighting the sales data of each type of product, separating the data according to the product type, and simultaneously comparing the sales data of corresponding products with the sales data of the same type of products in the past at the same time to obtain the sales condition;
s2, sending the sales data uploaded by the user to a data acquisition backup module of a database for storage, and calling the sales data of the next year to be sent to a sales data storage module of the database for storage;
s3, obtaining related marketing data of products of the same type based on the Internet big data, interactively comparing the marketing data with data uploaded by a user, estimating due sales data according to the marketing data of the products of the same type, analyzing and processing the data, and finally outputting the sales data through a graphic report;
s4, acquiring a consumption target group according to each sales product, simultaneously acquiring the sales environment condition of the current market, formulating sales data of the product according to the current sales environment and the sales group, and formulating a corresponding sales mode according to the target sales group and the sales data of the product;
and S5, collecting sales business data for many times during the marketing period, analyzing the data, making a next-stage sales index according to an analysis result, and generating a graphical report and a video for simulation display.
A business marketing big data analysis device comprises a user login module, a computer operation terminal, a network communication module and a display terminal;
the user login module is used for providing a user login window, and the login window comprises but is not limited to ID login, face recognition, fingerprint recognition and other modes, and is also used for auditing input user information;
the computer operation terminal is used for receiving data information and a control instruction input by user operation and analyzing and processing the data information according to the instruction;
the network communication module is used for providing communication signals between the user side and the central processing unit and converting the transmitted data frames into RGB signals;
and the display terminal is used for displaying images according to the RBG signals and further presenting a graphic report output by the output module and a simulation video output by the simulation display module.
The invention has the beneficial effects that: the sales data that upload the user carries out categorised statistics and contrast, and according to the contrast result and carry out the analysis with reference to the sales data of the big data commodity of network of the same kind, can make clear the reason of the problem of selling, and estimate the target customer that the formulation unit can confirm each kind of commodity through selling, and formulate the sales target that corresponds according to big environment, can also generate corresponding sales pattern simultaneously, can improve efficiency and the precision that the marketing task generated, and then promote the success rate of marketing, and simultaneously, the function that automatically generates marketing task and distribution mode is favorable to improving user's use satisfaction and stickness.
Description of the drawings:
for ease of illustration, the invention is described in detail by the following detailed description and the accompanying drawings.
FIG. 1 is a schematic flow diagram of a marketing big data analysis system of the present invention;
FIG. 2 is a topology diagram of a sales data acquisition unit of the present invention;
FIG. 3 is a sales data analysis unit topology of the present invention;
FIG. 4 is a topological diagram of a sales forecast formulating unit of the present invention.
The specific implementation mode is as follows:
as shown in fig. 1 to 4, the following technical solutions are adopted in the present embodiment:
example 1:
the utility model provides a big data analysis system of commercial marketing, includes central processing unit, database, sales data acquisition unit, sales data analysis unit and sells and predict the formulation unit, central processing unit's output communication is connected with the database, the inside of database is provided with sales data storage module and acquires the data backup module, the output communication of database is connected with sales data acquisition unit, the output communication of sales data acquisition unit is connected with sales data analysis unit, the output of database is connected with the input communication of sales data analysis unit, the output communication of sales data analysis unit is connected with the sale and predicts the formulation unit, central processing unit's output and the input communication of selling the formulation unit are connected.
The central processing unit is used for carrying out overall management and receiving and sending instructions on the database, the sales data acquisition unit, the sales data analysis unit and the sales forecast formulation unit; the database is used for storing the past sales data and the acquired sales data in a distinguishing way; the sales data acquisition unit is used for acquiring sales data of the user, and performing classified statistics and comparison processing on the sales data; the sales data analysis unit is used for interactively comparing the sales data with the market data and carrying out deep analysis; the sales forecast formulating unit is used for formulating sales quantity and sales mode according to the large environment.
The sales data acquisition unit comprises a data acquisition module, a data marking module, a classification statistical module, a data comparison module and a result uploading module, the output end of the data acquisition module is in communication connection with the input end of the data marking module, the output end of the data marking module is in communication connection with the input end of the classification statistical module, the output end of the classification statistical module is in communication connection with the input end of the data comparison module, the output end of the data comparison module is in communication connection with the input end of the result uploading module, and the sales data uploaded by a user can be subjected to classification statistics and comparison, so that subsequent analysis is facilitated.
The data acquisition module is used for acquiring sales data uploaded by a login user and sending the acquired sales data to the data marking module; the data marking module is used for marking available data in the acquired data and sending the marked data to the classification statistical module; the classification statistical module is used for carrying out segmentation processing on the data according to the product type; the data comparison module is used for comparing the segmented data with the earlier-stage data in the same time period and sending the comparison result to the result uploading module; and the result uploading module is used for sending the obtained comparison result to the sales data analysis unit.
The sales data analysis unit comprises a data receiving module, a data interaction module, a data estimation module, an analysis processing module and an output module, wherein the output end of the data receiving module is in communication connection with the input end of the data interaction module, the output end of the data interaction module is in communication connection with the input end of the data estimation module, the output end of the data estimation module is in communication connection with the input end of the analysis processing module, and the output end of the analysis processing module is in communication connection with the input end of the output module.
The data receiving module is used for receiving the comparison result and the sales data sent by the result uploading module and sending the acquired data to the data interaction module; the data interaction module is used for comparing the obtained sales data with the sales data of similar products in the market to obtain the root cause of the sales condition; the data pre-estimating module is used for estimating the corresponding sale limit of the product according to the sales of the similar products in the market; the analysis processing module is used for analyzing the sales data and the pre-estimation data according to the marketing big data and obtaining an analysis result; the output module is used for outputting a graphical report according to the existing sales data and the estimated sales data; and analyzing by referring to the sales data of the same type of goods with the network big data according to the comparison result, so that the reason of the sales problem can be determined.
The sales estimation formulating unit comprises a target group determining module, a large environment determining module, a sales data formulating module, a sales mode formulating module and a simulation display module, the output end of the target group determining module is in communication connection with the input end of the large environment determining module, the output end of the large environment determining module is in communication connection with the output end of the sales data formulating module, the output end of the sales data formulating module is in communication connection with the input end of the sales mode formulating module, and the output end of the sales mode formulating module is in communication connection with the input end of the simulation display module.
The target group determination module is used for acquiring a consumption target group according to the type of a product and classifying clients of the object to be marketed; the big environment determining module is used for acquiring the sale big environment condition of the current market; the sales data formulating module is used for formulating sales data of the products according to the current large sales environment and consumer groups; the sales pattern making module is used for making a corresponding sales pattern according to the target consumer group of the product and the sales data; the simulation display module is used for outputting a simulation video according to the formulated sales data and mode; the target client of each type of commodity can be determined through the sales estimation formulating unit, the corresponding sales target can be formulated according to the large environment, meanwhile, the corresponding sales mode can be generated, the efficiency and the accuracy of marketing task generation can be improved, the success rate of marketing is further improved, and meanwhile, the functions of automatically generating the marketing task and the distribution mode are beneficial to improving the use satisfaction degree and the stickiness of users.
Example 2:
a business marketing big data analysis method, comprising the steps of:
s1, carrying out feature vector marking on sales data uploaded by a client, highlighting the sales data of each type of product, separating the data according to the product type, and simultaneously comparing the sales data of corresponding products with the sales data of the same type of products in the past at the same time to obtain the sales condition;
s2, sending the sales data uploaded by the user to a data acquisition backup module of a database for storage, and calling the sales data of the next year to be sent to a sales data storage module of the database for storage;
s3, acquiring related marketing data of products of the same type based on the internet big data, interactively comparing the marketing data with data uploaded by a user, estimating due marketing data according to the marketing data of the products of the same type, analyzing and processing the data, and finally outputting the data through a graphic report;
s4, acquiring a consumption target group according to each sales product, simultaneously acquiring the sales environment condition of the current market, formulating sales data of the product according to the current sales environment and the sales group, and formulating a corresponding sales mode according to the target sales group and the sales data of the product;
and S5, collecting sales business data for many times during the marketing period, analyzing the data, making a next-stage sales index according to an analysis result, and generating a graphical report and a video for simulation display.
Example 3:
a business marketing big data analysis device comprises a user login module, a computer operation terminal, a network communication module and a display terminal;
the user login module is used for providing a user login window, and the login window comprises but is not limited to ID login, face recognition, fingerprint recognition and other modes, and is also used for auditing input user information;
the computer operation terminal is used for receiving data information and a control instruction input by user operation and analyzing and processing the data information according to the instruction;
the network communication module is used for providing communication signals between the user side and the central processing unit and converting the transmitted data frames into RGB signals;
and the display terminal is used for displaying images according to the RBG signals, and further presenting the graphic report output by the output module and the simulated video output by the simulated display module.
Example 4:
the method comprises the steps of providing a window for logging in by a user through a user logging module, identifying and auditing ID, face and fingerprint information logged in by the user, acquiring sales data uploaded by the logged-in user through a computer operation terminal and a data acquisition module, transmitting the acquired sales data to a data marking module, marking available data in the acquired data by the data marking module, transmitting the marked data to a classification statistical module, segmenting the data according to product types by the classification statistical module, comparing the segmented data with earlier-stage data in the same time period by the data comparison module, transmitting the comparison result to a result uploading module, transmitting the acquired comparison result to a data receiving module by the result uploading module, acquiring related marketing data of the same type of products based on internet big data by the data interaction module, interactively comparing the segmented data with the data uploaded by the user, estimating the sales data according to the marketing data of the same type of the products, analyzing the sales data and the marketing data according to the big data of the same type of products by the analysis processing module, acquiring an analysis result, outputting the estimation module, outputting a graph output by the estimation module, converting the sales data into a sales data of a sales target group, displaying a sales report form of a sales data of a current sales environment, and displaying the sales data of the sales group according to the marketing data of the marketing group, and displaying the consumption of the consumer, and displaying the consumption of the consumer under the user, and the display of the consumer, and a corresponding sales mode is formulated according to the target consumer group of the product and the sales data under the action of a sales mode formulation module, the user carries out marketing according to the sales mode, sales service data are collected for many times during the marketing period, the data are analyzed, a sales index of the next stage is formulated according to the analysis result, and a graphical report and a video are generated for simulation display.
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 alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a big data analysis system of commercial marketing, its characterized in that, includes central processing unit, database, sales data acquisition unit, sales data analysis unit and sells and predict the formulation unit, central processing unit's output communication is connected with the database, the inside of database is provided with sales data storage module and acquires the data backup module, the output communication of database is connected with sales data acquisition unit, the output communication of sales data acquisition unit is connected with sales data analysis unit, the output of database and the input communication of sales data analysis unit are connected, the output communication of sales data analysis unit is connected with the formulation unit of selling and predicting, central processing unit's output and the input communication of selling and predicting the formulation unit are connected, sales data acquisition unit and sales data analysis unit are based on the analysis and the prediction ability of the big data acquisition of many platforms and big data technique and are judged the marketing mode, the sales formulation unit is used for in the suitable time, through suitable carrier, and give suitable consumer in the suitable mode.
2. The business marketing big data analysis system of claim 1, wherein the central processing unit is configured to perform overall management and send and receive instructions for the database, the sales data acquisition unit, the sales data analysis unit and the sales forecast formulation unit; the database is used for storing the past sales data and the acquired sales data in a distinguishing way; the sales data acquisition unit is used for acquiring sales data of the user, and performing classified statistics and comparison processing on the sales data; the sales data analysis unit is used for interactively comparing sales data with market data and performing deep analysis; the sales forecast formulating unit is used for formulating sales quantity and sales mode according to the large environment.
3. The big data analyzing system for commercial marketing according to claim 1, wherein the sales data acquiring unit comprises a data acquiring module, a data marking module, a classification statistical module, a data comparing module and a result uploading module, wherein an output end of the data acquiring module is connected with an input end of the data marking module in a communication manner, an output end of the data marking module is connected with an input end of the classification statistical module in a communication manner, an output end of the classification statistical module is connected with an input end of the data comparing module in a communication manner, and an output end of the data comparing module is connected with an input end of the result uploading module in a communication manner.
4. The big data analyzing system for business marketing according to claim 3, wherein the data acquiring module is used for acquiring the sales data uploaded by the login user and sending the acquired sales data to the data marking module; the data marking module is used for marking available data in the acquired data and sending the marked data to the classification statistical module; the classification statistical module is used for carrying out segmentation processing on the data according to the product type; the data comparison module is used for comparing the segmented data with the earlier-stage data in the same time period and sending the comparison result to the result uploading module; and the result uploading module is used for sending the obtained comparison result to the sales data analysis unit.
5. The business marketing big data analysis system of claim 1, wherein the sales data analysis unit comprises a data receiving module, a data interaction module, a data estimation module, an analysis processing module and an output module, wherein an output end of the data receiving module is communicatively connected with an input end of the data interaction module, an output end of the data interaction module is communicatively connected with an input end of the data estimation module, an output end of the data estimation module is communicatively connected with an input end of the analysis processing module, and an output end of the analysis processing module is communicatively connected with an input end of the output module.
6. The business marketing big data analysis system of claim 5, wherein the data receiving module is configured to receive the comparison result and the sales data sent by the result uploading module, and send the obtained data to the data interaction module; the data interaction module is used for comparing the obtained sales data with the sales data of similar products in the market to obtain a root cause of sales conditions; the data pre-estimating module is used for estimating the corresponding sale limit of the product according to the sales of the similar products in the market; the analysis processing module is used for analyzing the sales data and the pre-estimation data according to the marketing big data and obtaining an analysis result; the output module is used for outputting a graphical report according to the existing sales data and the estimated sales data.
7. The business marketing big data analysis system of claim 1, wherein the sales forecast formulation unit comprises a target group determination module, a big environment determination module, a sales data formulation module, a sales pattern formulation module and a simulation display module, wherein an output end of the target group determination module is in communication connection with an input end of the big environment determination module, an output end of the big environment determination module is in communication connection with an output end of the sales data formulation module, an output end of the sales data formulation module is in communication connection with an input end of the sales pattern formulation module, and an output end of the sales pattern formulation module is in communication connection with an input end of the simulation display module.
8. The business marketing big data analysis system of claim 7, wherein the target group determination module is configured to obtain a consumption target group according to the type of the product and classify customers of the object to be marketed; the big environment determining module is used for acquiring the sale big environment condition of the current market; the sales data formulating module is used for formulating sales data of the products according to the current sales environment and consumer groups; the sales pattern making module is used for making a corresponding sales pattern according to the target consumer group of the product and the sales data; and the simulation display module is used for outputting a simulation video according to the established sales data and mode.
9. A business marketing big data analysis method is characterized by comprising the following steps:
s1, carrying out feature vector marking on sales data uploaded by a client, highlighting the sales data of each type of product, separating the data according to the product type, and simultaneously comparing the sales data of the corresponding product with the sales data of the previous similar product at the same time to obtain the sales condition;
s2, sending the sales data uploaded by the user to a data acquisition backup module of a database for storage, and calling the sales data of the next year to be sent to a sales data storage module of the database for storage;
s3, obtaining related marketing data of products of the same type based on the Internet big data, interactively comparing the marketing data with data uploaded by a user, estimating due sales data according to the marketing data of the products of the same type, analyzing and processing the data, and finally outputting the sales data through a graphic report;
s4, acquiring a consumption target group according to each sales product, simultaneously acquiring the sales environment condition of the current market, formulating sales data of the product according to the current sales environment and the sales group, and formulating a corresponding sales mode according to the target sales group and the sales data of the product;
and S5, collecting sales business data for many times during the marketing period, analyzing the data, making a next-stage sales index according to an analysis result, and generating a graphical report and a video for simulation display.
10. A business marketing big data analysis device is characterized by comprising a user login module, a computer operation terminal, a network communication module and a display terminal;
the user login module is used for providing a user login window, and the login window comprises but is not limited to ID login, face recognition, fingerprint recognition and other modes, and is also used for auditing input user information;
the computer operation terminal is used for receiving data information and a control instruction input by user operation and analyzing and processing the data information according to the instruction;
the network communication module is used for providing communication signals between the user side and the central processing unit and converting transmitted data frames into RGB signals;
and the display terminal is used for displaying images according to the RBG signals and further presenting a graphic report output by the output module and a simulation video output by the simulation display module.
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