CN105930540A - Data processing system - Google Patents
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- CN105930540A CN105930540A CN201610482998.2A CN201610482998A CN105930540A CN 105930540 A CN105930540 A CN 105930540A CN 201610482998 A CN201610482998 A CN 201610482998A CN 105930540 A CN105930540 A CN 105930540A
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract
The invention provides a data processing system, which is used for solving the technical problem of poor data processing capacity in a data processing process in the prior art. The system comprises at least one database, a service supporting data integrating processing subsystem and a user information processing subsystem; the database is used for storing customer data which are related to a customer and product data which are related to a product, wherein the customer data comprise customer basic attribute data, customer consuming behavior data, evaluation data of the customer to the product and customer human network relationship data; the product data comprise product model number data, product propagation name data and product network alias data; the service supporting data integrating processing subsystem is used for acquiring the customer data and the product data from the at least one database, and integrating and classifying the acquired data to acquire at least one classification of service data; the user information processing subsystem is used for acquiring and processing the at least one classification of the service data from the service supporting data integrating processing subsystem, acquiring a user description data set, and determining at least one speculative result based on the user description data set.
Description
Technical field
The present invention relates to electronic technology field, particularly to a kind of data handling system.
Background technology
Along with the development of science and technology, increasing electronic product has incorporated daily life,
Comfortable life style easily is provided for people.Therefore, businessman is carrying out production, sale and is taking after sale
During business, it will usually the data in record product each period, it is simple to user or research worker later stage can lead to
Cross the analysis to data and draw corresponding conclusion.
But, the data system that current businessman or enterprise use is when carrying out data collection and processing, the most only
It is the collection for local data and arrangement, such as production data, sales data etc., however as product
Renewal and the change of user, simple data statistics and analysis are typically only capable to show that simple data summarization is tied
Opinion, and cannot realize carrying out the overall understanding to user and/or product by data.
Summary of the invention
The application provides a kind of data handling system, is used for improving in prior art data in data handling procedure
The technical problem that disposal ability is poor.
On the one hand, the application provides a kind of data handling system, including:
At least one data base, for storing the customer data relevant to client and the product number relevant with product
According to;Wherein, described customer data includes the client basic attribute data relevant to client, customer consuming behavior
Data, client are to the evaluating data of product and client's internet relation data, and described product data include producing
Product type information, product propagate name information, product network network alias information;
Service Support Data integrates processing subsystem, for obtaining described client from least one data base described
Data and described product data, and carry out described customer data and described product data integrating classification, it is thus achieved that
At least one class business datum, described at least one class business datum includes user class data, service class data, battalion
Pin class data, research and development of products class data;
User profile processing subsystem, for obtain from described Data Integration processing subsystem and to described at least
One class business datum processes, it is thus achieved that user profile data set, and true based on described user profile data set
At least one estimation result fixed;Wherein, described user profile data set at least includes that client interests describes class
Data, client's consumption feature class data and client are to product evaluation class data.
Said one in the application or multiple technical scheme, at least have following one or more technology effect
Really:
In the technical scheme of the application, data handling system includes at least one data base, business support number
According to integrating processing subsystem, and user profile processing costs system, at least one of which data base storage have with
Customer data that client is correlated with and the product data relevant to product, Service Support Data integrates processing subsystem
Customer data and product data can be obtained from least one data base, and customer data and product data are entered
Row integrates classification, it is thus achieved that at least one class business datum, this at least one class business datum can include user class number
According to, service class data, marketing class data, research and development of products class data etc., thus, user profile process subsystem
System can obtain and process at least one class business datum from Data Integration processing subsystem, it is thus achieved that uses
Family descriptor data set, and determine at least one estimation result based on described user profile data set;Wherein, institute
State and user profile data set at least including, client interests describes class data, client's consumption feature class data and visitor
Family is to product evaluation class data, therefore integrates processing subsystem by Service Support Data, it is possible to the most systematically
Processing data, disposal ability is stronger.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of data handling system in the embodiment of the present invention;
Fig. 2 is the broad flow diagram of data processing method in the embodiment of the present invention;
Fig. 3 is the functional schematic of unified member's center subsystem in the embodiment of the present invention.
Detailed description of the invention
The embodiment of the present invention provides a kind of data handling system, is used for improving data handling procedure in prior art
The technical problem that middle data-handling capacity is poor.
In order to solve above-mentioned technical problem, the technical scheme general thought that the present invention provides is as follows:
In the technical scheme of the application, data handling system includes at least one data base, business support number
According to integrating processing subsystem, and user profile processing costs system, at least one of which data base storage have with
Customer data that client is correlated with and the product data relevant to product, Service Support Data integrates processing subsystem
Customer data and product data can be obtained from least one data base, and customer data and product data are entered
Row integrates classification, it is thus achieved that at least one class business datum, this at least one class business datum can include user class number
According to, service class data, marketing class data, research and development of products class data etc., thus, user profile process subsystem
System can obtain and process at least one class business datum from Data Integration processing subsystem, it is thus achieved that uses
Family descriptor data set, and determine at least one estimation result based on described user profile data set;Wherein, institute
State and user profile data set at least including, client interests describes class data, client's consumption feature class data and visitor
Family is to product evaluation class data, therefore integrates processing subsystem by Service Support Data, it is possible to the most systematically
Processing data, disposal ability is stronger.
Below by accompanying drawing and specific embodiment, technical solution of the present invention is described in detail, it should be understood that
Specific features in the embodiment of the present application and embodiment is the detailed description to technical scheme, and
It not the restriction to technical scheme, in the case of not conflicting, the embodiment of the present application and embodiment
In technical characteristic can be mutually combined.
The terms "and/or", a kind of incidence relation describing affiliated partner, expression can be deposited
In three kinds of relations, such as, A and/or B, can represent: individualism A, there is A and B simultaneously, single
Solely there is B these three situation.It addition, character "/" herein, typically represent forward-backward correlation to as if one
The relation of "or".
As it is shown in figure 1, the embodiment of the present invention provides a kind of data handling system, this data handling system is permissible
Processing subsystem and user profile processing subsystem is integrated including at least one data base, Service Support Data.
Specifically, at least one data base in data handling system may be used for store relevant to client
Customer data and the product data relevant to product.
In the embodiment of the present invention, customer data may refer to the data relevant to client, such as client's base attribute
Data, customer consuming behavior data, client to the evaluating data of product and client's internet relation data,
Etc..Wherein, the basic attribute data of user can include the name of user, sex, region, integration,
Rank, mailbox, Cookie, cell-phone number, MAC (Media Access Control, the media of purchase of equipment
Access and control) address etc..Customer consuming behavior data can include on line/line under buy data, hot line is asked
Topic data, movement parameter data, society speech data, mobile phone terminal behavioral data, services and repairs data etc..
Client's internet relation data includes the microblogging concern/microblogging vermicelli of consumer, forum good friend, QQ (
Kind of MSN) contact person, wechat contact person etc..
Product data can be the product that the data relevant to product, such as product data can include that user buys
The attribute data of product, the price data of product, product type data, product propagate name data, product network
The data of the product that Alias data and user intent are bought, etc..
Optionally, at least one data base can be divided into internal database and external data base, wherein, interior
Portion data base can include customer database, CRM (Customer Relationship Management, visitor
Family relation management) data base and enterprise's metadatabase, external data base includes forum information data base, inclines
To information database, daily behavior information database and social networks information database.
In actual applications, each data base can collect corresponding data, as customer database can be collected
Customer data in the terminal being connected with data handling system, such as the login account of user, client in mobile phone terminal
Consulting/feedback data etc., and CRM database can include the relation data between client and client, and
Relation data between client and relatives and friends, job market friend etc., described enterprise metadatabase can include
The first numbers corresponding with intelligent home device such as the title of intelligent home device product, function, basic technical indicator
According to etc..
Optionally, data handling system also includes that the data being connected with at least one data base draw logical subsystem,
Data handling system is for collecting customer data and product data from data source.Data draw the logical subsystem can be by
Data from each side data source carry out drawing logical, and then storage is at least one data base.
As a rule, data source can include at least three generous data sources, and wherein first party data source can be wrapped
Include black appliances information, white appliances information, CRM information etc., second party data can include official micro-/official win information,
Store information etc. on one's own account, third party's data can include consumer information, competing product information and the network information etc.,
I.e. data draw logical subsystem can carry out drawing logical, such that it is able to enter based on data by the data from different pieces of information source
Row preliminary classification, such as internal data or external data, and stores data in corresponding data base.
Such as, can will be defined as by the CRM data of enterprises, web site activity data, customer service data
Internal data, each data are stored in internal database corresponding data base, and by community network, client's net
The data such as stand are defined as external data, and are stored in the associated databases of external data base.
In the embodiment of the present invention, Service Support Data is integrated processing subsystem and can be obtained from least one data base
Take customer data and product data, and carry out customer data and product data integrating classification, it is thus achieved that at least one
Class business datum, at least one class business datum can include user class data, service class data, marketing class number
According to, research and development of products class data.Wherein, user class data may refer to and user-dependent data, as permissible
Including user basic information etc., service class data can include the product pre-sales service data collected, take after sale
Business data etc., marketing class data can include the data of the liveness for characterizing user, characterize user's loyalty
The data etc. of degree, research and development of products class data can include future products design data, the investigational data etc. collected.
In actual applications, Service Support Data integrates the processing subsystem integration process for data, permissible
It is the source according to data and type is carried out classification and integrates, it is simple to the data handling system storage to data
And management, meanwhile, by the classification of data is integrated, thus provide system and research worker to data
Extract so that the efficiency of data handling system is the highest.
In the embodiment of the present invention, user profile processing subsystem can process subsystem with Service Support Data integration
System is connected, and obtains for integrating processing subsystem from Service Support Data and carries out at least one class business datum
Process, it is thus achieved that user profile data set, and then, determine that at least one speculates knot based on user profile data set
Really;Wherein, user profile data set at least can including, client interests describes class data, client consumes spy
Levying class data and client to product evaluation class data, at least one estimation result may be used for enterprise's later stage and formulates
Corresponding user/management of product scheme.
Optionally, data handling system can also include at application subsystem, application subsystem and user profile
Reason subsystem is connected, and application subsystem may be used for according at least one estimation result, determines that data process system
System at least one system application, wherein, at least one system application can include data, services application, interior
Hold Push Service application and depth modelling application etc..
In actual applications, user profile processing subsystem at least may include that user manages module, marketing
Module and product module.Wherein, user manages module and may be used for describing class data, visitor based on client interests
Family consumption feature class data and client are to product evaluation class data, it is thus achieved that at least one user manages result;
At least one user manages result and includes consumer loyalty degree information, user's liveness management information, new user letter
Breath and public sentiment monitoring information.
Marketing module may be used for based on described client interests describe class data, client's consumption feature class data with
And client is to product evaluation class data, it is thus achieved that at least one result of marketing, this at least one marketing estimation result
Letter is thrown in including marketing decision-making information, marketing activity planning information, marketing effectiveness assessment information, advertisement accurately
Breath and Praise information.
Product module may be used for describing class data, client's consumption feature class data and visitor based on client interests
Family is to product evaluation class data, it is thus achieved that at least one product improvement result, this at least one product improvement result
Can include that product demand is seen clearly information, product design information and Product Experience and promoted information.
Certainly, divided by upper module outside, user profile processing subsystem can also include service module, sale
Modules etc., wherein, service module is provided for Service Scheme support, complains consulting support, service full
The investigation of meaning degree and product quality monitoring analysis, Sales module may be used for carrying out market targeting support, takes
To policy development reference, sales forecasting's support and price reference etc..As in figure 2 it is shown, it processes system for data
The main flow that data are processed by system, i.e. by processing true to the integration of the product data obtained and customer data
Fixed corresponding user portrait, and then carry out business improvement based on user's portrait.
Optionally, after by user profile processing subsystem at least one class business datum is processed,
The data relevant to client traffic can be obtained, i.e. obtain the user's portrait that can be used in describing client properties
(i.e. user profile data set).And user's portrait can correspond to multiple label, each label may indicate that
The feature of relative users, as user's ascribed characteristics of population, user use feature, marketing feature, length/short-term shopping partially
Good, instantly/potential shopping preferences, user's focus, social graph, Mobile solution etc..And then, application
Subsystem can determine corresponding applied business or the improvement to applied business based on user's portrait.
In actual applications, application subsystem is also based on the label of user's portrait and individual consumer draws a portrait letter
Breath is retrieved, such as, can determine be happy in user pass through based on buying pattern on the line in shopping preferences
Network shopping mall buys the probability of the user of product, and then can plan the marketing program of corresponding online shopping mall.
In actual applications, application subsystem based at least one estimation result can carry out data, services should
With.Such as, at least one estimation result shows that user is second-rate to the after-sale service of product, then at data
Reason system can promote after-sale service quality by application subsystem.Or, if estimation result shows user's
Liveness angle, then application subsystem may determine that corresponding for promoting the business of user's liveness, as increased
On ledger line/line experience application, product discussion application etc..
Optionally, data handling system can also include unified member's center subsystem, and it mainly can include
Membership pass module and member run module, and pass module may be used for connecting for data management system
The user of terminal carry out member registration, member account logs in and member account management, it is achieved the account of multiple terminals
Number synchronize, member runs module for customizing membership service.As it is shown on figure 3, it is center in unified member
The functional schematic of system, it is by getting through user profile, it is provided that uniform registration, unified login, unification are recognized
The function such as card, unified management, member's grade, member's integration.
In the embodiment of the present invention, by data handling system by the process to data, thus improve user's pipe
Reason system, merges the value of different system user, gets through enterprise system all customer data, unified log in,
Uniform registration and unified certification etc., thus analyze public praise and the operational effect of product, see clearly user characteristics and need
Ask, provide the user and more precisely service so that the data-handling capacity of data handling system is relatively strong, improves and uses
The experience at family.
Those skilled in the art are it should be appreciated that embodiments of the invention can be provided as method, system or meter
Calculation machine program product.Therefore, the present invention can use complete hardware embodiment, complete software implementation or knot
The form of the embodiment in terms of conjunction software and hardware.And, the present invention can use and wherein wrap one or more
Computer-usable storage medium containing computer usable program code (include but not limited to disk memory,
CD-ROM, optical memory etc.) form of the upper computer program implemented.
The present invention is with reference to method, equipment (system) and computer program product according to embodiments of the present invention
The flow chart of product and/or block diagram describe.It should be understood that can by computer program instructions flowchart and
/ or block diagram in each flow process and/or flow process in square frame and flow chart and/or block diagram and/
Or the combination of square frame.These computer program instructions can be provided to general purpose computer, special-purpose computer, embedding
The processor of formula datatron or other programmable data processing device is to produce a machine so that by calculating
The instruction that the processor of machine or other programmable data processing device performs produces for realizing at flow chart one
The device of the function specified in individual flow process or multiple flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions may be alternatively stored in and computer or the process of other programmable datas can be guided to set
In the standby computer-readable memory worked in a specific way so that be stored in this computer-readable memory
Instruction produce and include the manufacture of command device, this command device realizes in one flow process or multiple of flow chart
The function specified in flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, makes
Sequence of operations step must be performed to produce computer implemented place on computer or other programmable devices
Reason, thus the instruction performed on computer or other programmable devices provides for realizing flow chart one
The step of the function specified in flow process or multiple flow process and/or one square frame of block diagram or multiple square frame.
Claims (8)
1. a data handling system, it is characterised in that described data handling system includes:
At least one data base, for storing the customer data relevant to client and the product number relevant with product
According to;Wherein, described customer data includes the client basic attribute data relevant to client, customer consuming behavior
Data, client are to the evaluating data of product and client's internet relation data, and described product data include producing
Product model data, product propagate name data, product network Alias data;
Service Support Data integrates processing subsystem, for obtaining described client from least one data base described
Data and described product data, and carry out described customer data and described product data integrating classification, it is thus achieved that
At least one class business datum, described at least one class business datum includes user class data, service class data, battalion
Pin class data, research and development of products class data;
User profile processing subsystem, obtains and right for integrating processing subsystem from described Service Support Data
Described at least one class business datum processes, it is thus achieved that user profile data set, and based on described user profile
Data set determines at least one estimation result;Wherein, described user profile data set at least includes that client is emerging
Interest describes class data, client's consumption feature class data and client to product evaluation class data.
2. the system as claimed in claim 1, it is characterised in that described data handling system also includes:
Application subsystem, is connected with described user profile processing subsystem, for according to described at least one push away
Surveying result, determine at least one system application of described data handling system, at least one system described is applied
Including data, services application, the application of content Push Service and depth modelling application.
3. the system as claimed in claim 1, it is characterised in that at least one data base described includes
Portion data base and external data base, described internal database include customer database, CRM database and
Enterprise's metadatabase, described external data base includes forum information data base, trend information data base, daily
Behavioural information data base and social networks information database.
4. the system as claimed in claim 1, it is characterised in that described data handling system also includes:
Data draw logical subsystem, are connected with at least one data base described, described for collecting from data source
Customer data and described product data, described data source at least includes first party data, second party data and
Tripartite's data, described first party data include black appliances information, white appliances information, CRM information, described second
Number formulary according to include official micro-/official wins information, on one's own account store information, third party's data include consumer information, competing product
Information and the network information.
5. the system as described in claim as arbitrary in claim 1-4, it is characterised in that at described user profile
Reason subsystem includes:
User manages module, for describing class data, described client's consumption feature class based on described client interests
Data and described client are to product evaluation class data, it is thus achieved that at least one user manages result;Described at least
One user manage result include consumer loyalty degree information, user's liveness management information, new user profile and
Public sentiment monitoring information.
6. system as claimed in claim 5, it is characterised in that described user profile processing subsystem is also
Including:
Marketing module, for describing class data, described client's consumption feature class data based on described client interests
And described client is to product evaluation class data, it is thus achieved that at least one result of marketing, at least one marketing described
Estimation result includes marketing decision-making information, marketing activity planning information, marketing effectiveness assessment information, advertisement essence
Quasi-impression information and Praise information.
7. system as claimed in claim 6, it is characterised in that described user profile processing subsystem is also
Including:
Product module, for describing class data, described client's consumption feature class data based on described client interests
And described client is to product evaluation class data, it is thus achieved that at least one product improvement result;Described at least one
Product improvement result includes that product demand is seen clearly information, product design information and Product Experience and promoted information.
8. the system as claimed in claim 1, it is characterised in that described data handling system also includes:
Unified member's center subsystem, runs module, the described pass including membership pass module and member
The user of the module terminal for connecting for described data management system carries out member registration, member account is stepped on
Record and member account management, it is achieved the account of multiple terminals synchronizes, and described member runs module for customizing member
Service.
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106339506A (en) * | 2016-10-14 | 2017-01-18 | 国政通科技股份有限公司 | Method and system for providing data services |
CN107507093A (en) * | 2017-08-22 | 2017-12-22 | 深圳市慧择保险经纪有限公司 | The data processing method and device of domestic customers demand for insurance |
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CN112418929A (en) * | 2020-11-23 | 2021-02-26 | 中国工商银行股份有限公司 | Data sharing method and device |
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102693498A (en) * | 2012-05-16 | 2012-09-26 | 上海卓达信息技术有限公司 | Accurate recommendation method based on incomplete data |
CN103544627A (en) * | 2012-07-11 | 2014-01-29 | 北京长生天地电子商务有限公司 | Information analyzing system and information analyzing method in network transaction |
CN104281882A (en) * | 2014-09-16 | 2015-01-14 | 中国科学院信息工程研究所 | Method and system for predicting social network information popularity on basis of user characteristics |
-
2016
- 2016-06-27 CN CN201610482998.2A patent/CN105930540A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102693498A (en) * | 2012-05-16 | 2012-09-26 | 上海卓达信息技术有限公司 | Accurate recommendation method based on incomplete data |
CN103544627A (en) * | 2012-07-11 | 2014-01-29 | 北京长生天地电子商务有限公司 | Information analyzing system and information analyzing method in network transaction |
CN104281882A (en) * | 2014-09-16 | 2015-01-14 | 中国科学院信息工程研究所 | Method and system for predicting social network information popularity on basis of user characteristics |
Cited By (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106339506A (en) * | 2016-10-14 | 2017-01-18 | 国政通科技股份有限公司 | Method and system for providing data services |
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CN109767248A (en) * | 2019-02-01 | 2019-05-17 | 中国工商银行股份有限公司 | Client requirement information processing method, apparatus and system |
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CN110674176A (en) * | 2019-09-29 | 2020-01-10 | 山东慧安达安全技术服务有限公司 | CRM data processing method and system based on cloud platform |
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