CN112381501A - Product operation platform system - Google Patents
Product operation platform system Download PDFInfo
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- CN112381501A CN112381501A CN202011224989.6A CN202011224989A CN112381501A CN 112381501 A CN112381501 A CN 112381501A CN 202011224989 A CN202011224989 A CN 202011224989A CN 112381501 A CN112381501 A CN 112381501A
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- 230000010354 integration Effects 0.000 claims abstract description 6
- 238000004806 packaging method and process Methods 0.000 claims abstract description 6
- 238000005516 engineering process Methods 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000013523 data management Methods 0.000 claims description 2
- 230000000977 initiatory effect Effects 0.000 claims description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
Abstract
The application discloses product operation platform system includes: the framework module is used for storing, managing, calculating and packaging the client data; the integration module integrates an Activiti workflow engine based on the framework module so as to enable the product operation flow to be online; the framework module adopts a MapReduce calculation engine module and a Spark calculation engine module to realize calculation. The method and the device at least aim to ensure higher response speed while supporting mass data processing, so that the daily operation line of a client is changed and the operation mode is diversified.
Description
Technical Field
The application relates to detecting a product operation platform system.
Background
The cross-product sharing operation platform is supported by a middle platform framework and divided into three models of customers, products and channels, the customers are classified by utilizing big data, the potential requirements of the customers are explored, personalized product matching is carried out for various customers, and under different product application scenes, cross marketing and operation of all the channels are realized, and the whole process is on line.
Because the client information among channels is opaque, the data can not be shared, the marketing mode is single, the client data acquisition is difficult, the operation efficiency is low, the client personalized requirements can not be met easily, and the stock client value is not deeply mined.
Disclosure of Invention
Aiming at the problems in the related art, the application provides a product operation platform system which can at least support mass data processing and ensure higher response speed, so that the daily operation line of a client is changed and the operation mode is 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 Activiti workflow engine based on the framework module so as to enable the product operation flow to be online; 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 the client data.
According to an embodiment of the application, the upper module comprises at least: and 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: an encapsulation module based on an upper module and a tool module.
According to an embodiment of the application, the frame module further comprises: and the analysis module and the classification module are used for analyzing and classifying the stored customer data and marking corresponding labels to provide strategies and customer bases for daily marketing activities.
According to an embodiment of the application, an integrated module comprises: the examination and approval module selects automatic examination and approval or manual examination and approval according to rules; and the self-service module is used for initiating self-service by the client through the butted public numbers and the applets.
According to an embodiment of the application, the integrated module further comprises: the pushing module is used for pushing the marketing activities to the clients periodically through the butted public numbers and the applets; and the mobile approval module is used for butting the WeChat of the enterprise to realize the approval of the mobile terminal.
According to the embodiment of the application, the product operation platform system is based on the Hadoop technology.
The beneficial technical effect of this application lies in:
the application provides a product operation platform system, and the system guarantees higher response speed while supporting mass data processing, makes the daily operation of customer line up, and the operation mode is diversified to company's inside operation efficiency has been improved.
Drawings
In order to more clearly illustrate the embodiments of the present application, the drawings needed for the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.
FIG. 1 is a block diagram of a product work 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 authority configuration of a product operation platform system according to an embodiment of the present application;
FIG. 5 is a schematic diagram illustrating a 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 snoop routing rule calculation of a product operation platform system according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments that can be derived from the embodiments given herein by a person of ordinary skill in the art are intended to be within the scope of the present disclosure.
According to an embodiment of the present application, a product operation platform system is provided. Fig. 1 is a block diagram of a product work platform system according to an embodiment of the present application. Referring to fig. 1, a product operation platform system of the present invention includes: the framework module 1 is used for storing, managing, calculating and packaging client data; the integration module 2 integrates an Activiti workflow engine based on the framework module 1 so as to enable the product operation flow to be online; 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 mass data processing is supported, and meanwhile, the higher response speed is ensured, so that the daily operation line and the operation mode of a client are diversified.
According to an embodiment of the invention, the product operation platform system is based on a Hadoop technology, integrates Spark stream processing capacity, and processes unstructured and semi-structured data, complex ETL (extract transform and load) processes, complex data mining and calculation models and the like aiming at the storage and calculation of unstructured data.
Fig. 2 shows a block diagram of the framework modules 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: resource and data management layers, YARN and Sentry, etc.;
the upper layer 3 includes: MapReduce, Impala, Spark and other calculation engines; the MapReduce technology is adopted to support processing of a very large amount of data sets, data of a client are analyzed in a coarse granularity mode, grouping and classifying are carried out on the data of the client, and a data basis is provided for Spark microprocessing; the Spark is integrated to realize micro-batch processing, the coarse-grained data is subjected to refining analysis, factors such as client data integrity, transaction ranking, grade and cooperative products are obtained, and a data basis is provided for marketing activities, product popularization and daily operation.
Top layer: advanced packaging and tools based on MapReduce, Spark and other computing engines, such as Hive, Pig, Mahout and the like.
By adopting the technical framework, the stock customer data is analyzed and classified, and corresponding labels are printed, so that a strategy and a customer basis are provided for daily marketing activities.
In addition, the product operation platform system realizes the whole process on-line of customer service by embedding an activitti workflow engine, can select automatic or manual approval according to different rules, is in butt joint with a WeChat public number and a small program, can initiate self-service through the public number and the small program, can also push marketing activities to customers regularly in the two modes, is also in butt joint with enterprise WeChats, realizes the approval of a mobile terminal, and improves the internal operation efficiency of a company.
By adding the monitoring program in the front of each process node, the monitoring program is configured according to the visual variables in the console and is combined with the customer factors, the manual intervention of the daily operation business process 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, wherein the business process comprises nodes, node rules and node permissions, the rules are composed of client elements and variable values.
Fig. 4 and 5 respectively show schematic diagrams of node authority configuration and node rule configuration, and the product operation platform system is used for configuring approval roles, approval rules, an approval mode, rule states and the like.
Fig. 6 shows a schematic diagram of node snooping routing rule calculation from the beginning of the service flow to the end of the service flow based on the above variable configuration in combination with the client element.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. 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 Activiti workflow engine based on the framework module so as to enable the product operation flow to be online;
the framework module adopts a MapReduce calculation engine module and a Spark calculation engine module to realize the calculation.
2. The product work platform system of claim 1, wherein said frame module comprises:
the device comprises a bottom layer module, a middle layer module, an upper layer module and a top layer module.
3. The product work platform system of claim 2, wherein said bottom layer module comprises at least:
and the storage module and the file system module are used for storing the client data.
4. The product work platform system of claim 3, wherein said middle layer module comprises at least:
and the resource module and the data management module are used for managing the client data of the bottom layer module.
5. The product work platform system of claim 4, wherein said upper module comprises at least:
the MapReduce calculation engine module and the Spark calculation engine module are used for calculating the customer data managed by the middle layer module.
6. The product work platform system of claim 5, wherein said top module comprises at least:
and the packaging module and the tool module are based on the upper module.
7. The product work platform system of claim 2, wherein said frame module further comprises:
and the analysis module and the classification module are used for analyzing and classifying the stored customer data and marking corresponding labels to provide strategies and customer bases for daily marketing activities.
8. The product work platform system of claim 1, wherein said integration module comprises:
the examination and approval module selects automatic examination and approval or manual examination and approval according to rules;
and the self-service module is used for initiating self-service by the client through the butted public numbers and the applets.
9. The product work platform system of claim 8, wherein said integration module further comprises:
the pushing module is used for pushing the marketing campaign to the client regularly through the butted public numbers and the applets;
and the mobile approval module is used for butting the WeChat of the enterprise to realize the approval of the mobile terminal.
10. The product work platform system of claim 1, wherein the system is based on Hadoop technology.
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| CN202011224989.6A CN112381501A (en) | 2020-11-05 | 2020-11-05 | Product operation platform system |
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| CN202011224989.6A CN112381501A (en) | 2020-11-05 | 2020-11-05 | Product operation platform system |
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