CN112381501B - Product operation platform system - Google Patents
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- CN112381501B CN112381501B CN202011224989.6A CN202011224989A CN112381501B CN 112381501 B CN112381501 B CN 112381501B CN 202011224989 A CN202011224989 A CN 202011224989A CN 112381501 B CN112381501 B CN 112381501B
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
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- G06Q30/00—Commerce
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Abstract
The application discloses a product operation platform system, which comprises: the framework module is used for storing, managing, calculating and packaging the client data; the integration module integrates an active workflow engine based on the framework module so as to enable the product operation flow line to be uploaded; the framework module adopts a MapReduce calculation engine module and a Spark calculation engine module to realize calculation. The application at least aims to ensure higher response speed while supporting mass data processing, so that the daily operation line of the client is diversified and the operation modes are diversified.
Description
Technical Field
The application relates to a product operation platform system.
Background
The cross-product sharing operation platform is supported by the middle platform structure and is divided into three large models of clients, products and channels, the large data are utilized to classify the clients, the potential demands of the clients are explored, personalized product matching is carried out aiming at various clients, and under different product application scenes, cross marketing is realized for each channel, and the whole operation flow line is standardized.
Because the client information among the channels is opaque and the data cannot be shared, the marketing mode is single, the client data is difficult to acquire, the operation efficiency is low, the personalized requirements of clients are difficult to meet, and the value of the stock clients is not deeply mined.
Disclosure of Invention
Aiming at the problems in the related art, the application provides a product operation platform system which at least can support mass data processing and ensure higher response speed at the same time, so that the daily operation line of a customer is diversified and the operation modes are diversified.
The technical scheme of the application is realized as follows:
There is provided a product operation platform system comprising: the framework module is used for storing, managing, calculating and packaging the client data; the integration module integrates an active workflow engine based on the framework module so as to enable the product operation flow line to be uploaded; the framework module adopts a MapReduce calculation engine module and a Spark calculation engine module to realize calculation.
According to an embodiment of the application, a frame module comprises: the device comprises a bottom layer module, a middle layer module, an upper layer module and a top layer module.
According to an embodiment of the application, the bottom layer module comprises at least: the storage module and the file system module are used for storing client data.
According to an embodiment of the present application, the upper module includes at least: the MapReduce calculation engine module and the Spark calculation engine module are used for calculating the client data managed by the middle layer module.
According to an embodiment of the application, the top module comprises at least: packaging module and tool module based on upper module.
According to an embodiment of the application, the frame module further comprises: the analysis module and the classifying module are used for analyzing and classifying the stored customer data and marking corresponding labels so as to provide strategies and customer basis for daily marketing activities.
According to an embodiment of the application, an integrated module comprises: the approval module selects automatic approval or manual approval according to the rule; and the self-service module is used for enabling the client to initiate self-service through the butted public number and the small program.
According to an embodiment of the application, the integrated module further comprises: the pushing module is used for regularly pushing the marketing activities to the clients through the butted public numbers and the small programs; and the mobile approval module is used for interfacing enterprise WeChat and realizing mobile terminal approval.
According to the embodiment of the application, the product operation platform system is based on a Hadoop technology.
The beneficial technical effects of the application are as follows:
the application provides a product operation platform system, which ensures higher response speed while supporting mass data processing, leads the daily operation of clients to be on line, diversifies operation modes and improves the internal operation efficiency of a company.
Drawings
In order to more clearly illustrate the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, and it will be apparent that the drawings in the following description are only some embodiments of the present application and that other drawings may be obtained from these drawings without inventive effort to those skilled in the art.
FIG. 1 is a block diagram of a product operation platform system according to an embodiment of the present application;
FIG. 2 is a block diagram of a framework module of a product operation platform system according to an embodiment of the present application;
FIG. 3 is a business flow diagram of a product operation platform system according to an embodiment of the present application;
FIG. 4 is a schematic diagram of node rights configuration of a product operation platform system according to an embodiment of the present application;
FIG. 5 is a schematic diagram of node rule configuration of a product operation platform system according to an embodiment of the present application;
fig. 6 is a schematic diagram of node listening routing rule calculation of a product operation platform system according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which are derived by a person skilled in the art based on the embodiments of the application, fall within the scope of protection of the application.
According to an embodiment of the application, a product operation platform system is provided. FIG. 1 illustrates a frame diagram of a product operation platform system according to an embodiment of the present application. Referring to fig. 1, a product operation platform system of the present application includes: the framework module 1 is used for storing, managing, calculating and packaging the client data; the integration module 2 integrates an Activiti workflow engine based on the framework module 1 so as to enable a product operation flow line to be uploaded; the framework module 1 adopts a MapReduce calculation engine module and a Spark calculation engine module to realize calculation.
According to the technical scheme, the high response speed is ensured while mass data processing is supported, so that daily operation lines of clients are diversified and operation modes are diversified.
According to one embodiment of the invention, the product operation platform system is based on Hadoop technology, integrates Spark stream processing capability, and processes unstructured and semi-structured data, complex ETL flow, complex data mining and calculation model and the like aiming at storage and calculation of unstructured data.
Fig. 2 shows a block diagram of a framework module of the present invention. The frame module 1 has four layers in total.
The bottom layer 1 includes: a storage layer, a file system HDFS;
The intermediate layer 2 includes: a resource and data management layer, YARN, sentry, etc.;
the upper layer 3 includes: mapReduce, impala, spark, etc.; the MapReduce technology is adopted to support the processing of a very massive data set, the data of a client is analyzed in a coarse granularity mode, the client data is classified in groups, and a data base is provided for Spark micro-processing; and integrating Spark to realize micro batch processing, and carrying out refined analysis on the coarse-grained data to obtain factors such as customer data integrity, transaction ranking, grade, cooperative products and the like, thereby providing a data base for marketing activities, product popularization and daily operation.
Top layer: advanced packaging and tools based on MapReduce, spark, etc. computing engines, such as Hive, pig, mahout, etc.
By adopting the technical framework, the stock customer data is analyzed and classified, corresponding labels are marked, and strategies and customer basis are provided for daily marketing activities.
In addition, the product operation platform system of the invention realizes the full-flow line of customer service by embedding activiti workflow engines, can select automatic or manual approval according to different rules, can butt joint WeChat public numbers and applets, and can initiate self-service through the public numbers and the applets, and can also regularly push marketing activities to customers in the two modes, meanwhile, butt joint enterprise WeChat, realize mobile terminal approval and improve the internal operation efficiency of the company.
By adding a monitoring program in the front of each flow node, the monitoring program is configured according to the visualized variable in the console and then is combined with the client elements, so that the manual intervention of the daily operation business flow and the automatic auditing and flexible switching of the system can be realized, and the service quality is improved.
As shown in fig. 3, a complete business process includes: nodes, inputs/outputs, variables, thresholds, and permissions. The business process is configurable to include nodes, node rules and node authorities, the rules are configurable to include client elements and variable values.
Fig. 4 and fig. 5 show node authority configuration and node rule configuration schematic diagrams respectively, and the approval roles, approval rules, auditing modes, rule states and the like are configured through the product operation platform system.
Fig. 6 shows a schematic diagram of node snoop routing rule calculation starting from business process initiation through business process end based on the variable configuration described above in combination with customer elements.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (5)
1. A product operation platform system, comprising:
The framework module is used for storing, managing, calculating and packaging the client data and comprises a bottom layer module, an upper layer module, a middle layer module and a top layer module;
The integration module integrates an active workflow engine based on the framework module so as to enable a product operation flow line to be uploaded;
the framework module adopts a MapReduce calculation engine module and a Spark calculation engine module to realize the calculation;
the upper layer module of the framework module at least comprises the MapReduce calculation engine module and the Spark calculation engine module, wherein the MapReduce calculation engine module is used for analyzing the client data to obtain coarse-granularity client data, grouping and classifying the coarse-granularity client data and providing the coarse-granularity client data to the Spark calculation engine module, and the Spark calculation engine module performs refinement analysis on the coarse-granularity client data so as to provide a client basis for daily marketing activities;
the bottom layer module at least comprises: the storage module and the file system module are used for storing the client data;
the intermediate layer module comprises at least: the resource module and the data management module are used for managing the client data of the bottom layer module;
The top layer module comprises at least: and the packaging module and the tool module are based on the upper module.
2. The product functioning platform system of claim 1, wherein the frame module further comprises:
The analysis module and the classification module are used for analyzing and classifying the stored customer data and marking corresponding labels so as to provide strategies and customer basis for daily marketing activities.
3. The product operations platform system of claim 1, wherein the integration module comprises:
The approval module selects automatic approval or manual approval according to the rule;
and the self-service module is used for enabling the client to initiate self-service through the butted public number and the small program.
4. The product operations platform system of claim 3, wherein the integration module further comprises:
the pushing module is used for regularly pushing marketing activities to clients through the butted public numbers and the small programs;
And the mobile approval module is used for interfacing enterprise WeChat and realizing mobile terminal approval.
5. The product operation platform system according to claim 1, wherein the product operation platform system is based on Hadoop technology.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202011224989.6A CN112381501B (en) | 2020-11-05 | 2020-11-05 | Product operation platform system |
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| CN202011224989.6A CN112381501B (en) | 2020-11-05 | 2020-11-05 | Product operation platform system |
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| CN112381501B true CN112381501B (en) | 2024-06-07 |
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