CN106204101A - A kind of collecting method and data handling system - Google Patents
A kind of collecting method and data handling system Download PDFInfo
- Publication number
- CN106204101A CN106204101A CN201610483004.9A CN201610483004A CN106204101A CN 106204101 A CN106204101 A CN 106204101A CN 201610483004 A CN201610483004 A CN 201610483004A CN 106204101 A CN106204101 A CN 106204101A
- Authority
- CN
- China
- Prior art keywords
- data
- product
- client
- customer
- base
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0203—Market surveys; Market polls
-
- 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
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
Abstract
The application provides a kind of collecting method and data handling system, for solving the technical problem that the data acquisition effect of data handling system is poor.The method includes: described data acquisition subsystem gathers the customer data relevant with client and the product data relevant with product from the data source being connected to described data handling system, and described customer data and described product data is stored at least one data base described；Described Data Integration processing subsystem obtains and carries out described customer data and described product data integrating classification, obtain at least three major types data, described at least three major types data include client's base attribute class data, consumer product interest class data, customer event class data.
Description
Technical field
The present invention relates to electronic technology field, particularly to a kind of collecting method and data handling system.
Background technology
Along with the development of science and technology, increasing intelligent home device has incorporated daily life, for
People provide comfortable life style easily.And intelligent home device manufacturer typically requires record product and is producing and selling and selling
The data in each stage such as rear, it is simple to user or research worker later stage can be by obtaining corresponding conclusion to the analysis of data.
At present, existing intelligent home device manufacturer is when carrying out data collection, it is common that collect product factory data,
Sales data and part data the most after sale, its data be mainly derived from the investigation of the data of manufacturer internal record and certain customers/
Feedback data, the data of acquisition are relatively limited, and the cycle gathering some data may be the longest, such as, need manual sorting
Data, moreover, some data handling systems are also needing to by manually relevant data being carried out manual typing, cause data
The work efficiency of processing system is relatively low.
As can be seen here, the data acquisition effect of data handling system of the prior art is poor.
Summary of the invention
The application provides a kind of collecting method and data handling system, for solving the data acquisition of data handling system
The technical problem that collection effect is poor.
On the one hand the application provides a kind of collecting method, is applied in a data handling system, and described data process
System includes data acquisition subsystem, Data Integration processing subsystem, and be connected with described Data Integration processing subsystem to
A few data base, described method includes:
Described data acquisition subsystem gathers relevant with client from the data source being connected to described data handling system
Customer data and the product data relevant to product, and described in described customer data and described product data are stored at least one
In individual data base；
Described Data Integration processing subsystem obtains and carries out described customer data and described product data integrating classification,
Obtaining at least three major types data, described at least three major types data include client's base attribute class data, consumer product interest class number
According to, customer event class data.
On the other hand, the application also provides for a kind of data handling system, and described data process and include:
Data acquisition subsystem is relevant with client for gathering from the data source being connected to described data handling system
Customer data and the product data relevant to product；
At least one data base, is used for storing described customer data and described product data；
Data Integration processing subsystem, divides for obtaining and carrying out described customer data and described product data integrating
Class, it is thus achieved that at least three major types data, described at least three major types data include client's base attribute class data, consumer product interest class
Data, customer event class data.
The one or more technical schemes provided in the embodiment of the present application, at least have the following technical effect that or advantage:
Technical scheme in the application can first pass through data acquisition subsystem from the number being connected with data handling system
According to source gathers the customer data relevant to client and the product data relevant with product, and customer data and product data are deposited
Store up at least one data base, and then, from least one data base, obtain client's number by Data Integration processing subsystem
According to and product data, and based on customer data and product data carry out integrate classification, it is thus achieved that include client's base attribute class data,
Consumer product interest class data, at least three major types data of customer event class data.Thus can realize passing through data acquisition
Customer data that system of users is relevant and the relevant product data of intelligent home device carry out the collection of full channel so that data
Processing system is more comprehensive to the collection of data, and by the automatic collection of data acquisition subsystem, has to improve to gather and use
The technique effect of the data acquisition efficiency of family and intelligent home device.
The application the most also has the following technical effect that or advantage:
Further, the Data Source in the embodiment of the present application can be by diversified from the daily life of user
Source and channel obtain, and the data therefore gathered have variation, make data be easy to management by integrating classification process,
Improve the technique effect of data management effect.
Accompanying drawing explanation
Fig. 1 is that the data of data handling system in the embodiment of the present invention process schematic diagram；
Fig. 2 is the flow chart of collecting method in the embodiment of the present invention；
Fig. 3 is the structural representation of data handling system in the embodiment of the present invention.
Detailed description of the invention
The application provides a kind of collecting method and data handling system, for solving the data acquisition of data handling system
Collect inefficient technical problem.
Technical scheme in the embodiment of the present application is for solving above-mentioned technical problem, and general thought is as follows:
Technical scheme in the application can first pass through data acquisition subsystem from the number being connected with data handling system
According to source gathers the customer data relevant to client and the product data relevant with product, and customer data and product data are deposited
Store up at least one data base, and then, from least one data base, obtain client's number by Data Integration processing subsystem
According to and product data, and based on customer data and product data carry out integrate classification, it is thus achieved that include client's base attribute class data,
Consumer product interest class data, at least three major types data of customer event class data.Thus can realize passing through data acquisition
Customer data that system of users is relevant and the relevant product data of intelligent home device carry out the collection of full channel so that data
Processing system is more comprehensive to the collection of data, and by the automatic collection of data acquisition subsystem, has to improve to gather and use
The technique effect of the data acquisition efficiency of family and intelligent home device.
In the embodiment of the present invention, data handling system can include data acquisition subsystem, Data Integration processing subsystem,
And at least one data base being connected with Data Integration processing subsystem.Certainly, outside data handling system is divided by upper functional part
Can also include other functional part to complete its data processing function, as it is shown in figure 1, it is in the embodiment of the present invention at data
The data of reason system process schematic diagram.
Optionally, data acquisition subsystem can include that multiple acquisition module, multiple acquisition modules can be to be respectively at
In the terminal unit being connected with data handling system, thus the related data of each terminal unit is acquired.
In the embodiment of the present invention, internal database may refer to what intelligent home device production firm oneself bought or developed
Data base in server database, or the intelligent home device that produced of production firm.External data base may refer to and intelligence
Home equipment production firm can have cooperation character or other manufacturer service, all of server of agent or supplier
Or storage device data storehouse.
In actual mechanical process, can buy user, when keeping in repair intelligent home device, by computer, mobile terminal,
Image-text scanner etc. electronic equipment internally data base and/or external data base input corresponding data.Or, user
When using intelligent home device, it is also possible to the use Trace Data of user is transferred to distal internal Cloud Server number by network
According to storehouse, or it is directly stored in the storage device in intelligent home device, when these data transferred by needs, far-end can be passed through
Operation directly obtains.
Below by accompanying drawing and specific embodiment, technical scheme is described in detail, it should be understood that the application
Specific features in embodiment and embodiment is the detailed description to technical scheme rather than to present techniques
The restriction of scheme, in the case of not conflicting, the technical characteristic in the embodiment of the present application and embodiment can be mutually combined.
The terms "and/or", a kind of incidence relation describing affiliated partner, can there are three kinds of passes in expression
System, such as, A and/or B, can represent: individualism A, there is A and B, individualism B these three situation simultaneously.It addition, herein
Middle character "/", typicallys represent the forward-backward correlation relation to liking a kind of "or".
Below in conjunction with the accompanying drawings the preferred embodiment of the present invention is described in detail.
As in figure 2 it is shown, the embodiment of the present invention provides a kind of collecting method, it is applied in a data handling system, number
Data acquisition subsystem, Data Integration processing subsystem is included according to processing system, and be connected with Data Integration processing subsystem
At least one data base, the method can be described as follows.
S11: data acquisition subsystem gathers the client relevant with client from the data source being connected to data handling system
Data and the product data relevant to product, and customer data and product data are stored at least one data base.
In the embodiment of the present invention, data source can at least include tripartite's data source, and wherein, first party data source can be come
The data collected from equipment vendors, such as, can include black appliances data, white appliances data, CRM (Customer Relationship
Management, customer relation management) data etc., second party data can be social data, such as can include official micro-/official wins
Data, on one's own account store data etc., third party's data can be from the data of network, such as, can include consumer data, competing
Product data and network marketing data etc., can be to the data in different pieces of information source by the corresponding acquisition module of data acquisition subsystem
It is acquired, thus obtains corresponding product data and customer data.
In the embodiment of the present invention, in S11, data acquisition subsystem can gather relevant to client from multiple data sources
Client's basic attribute data, customer consuming behavior data, member's level data, client is to the evaluating data of product and client
Internet relation data, and, it is thus achieved that the product data relevant to product, such as can include product attribute data, product pin
Sell data, product service data, product data after sale etc..
Wherein, customer consuming behavior data may refer to client and use which kind of mode to buy intelligent home device, such as, and visitor
The shopping at network mode that family uses when buying intelligent home device, then customer consuming behavior data characterization is consumption on network；Visitor
Family uses the mode that solid shop/brick and mortar store is bought when buying intelligent home device, then customer consuming behavior data characterization is solid shop/brick and mortar store
Consumption；Client uses serial shopping way, then customer consuming behavior tables of data when buying intelligent home device
Levy as installment payment, etc., as long as the data relevant to consuming behavior can serve as customer consuming behavior data.And
Member data can include member account, grade, integration etc., and as a rule, member data may be used to indicate that the core of producer
The related data of user, when gathering member data, data acquisition subsystem can be by the unified meeting in data handling system
Member center is carried out, and wherein, unified member center can be user profile, it is provided that uniform registration, unified log in, unified certification,
The function such as unified management, member's grade, member's integration.
In actual applications, product data can include that Smart Home that user bought, used, that keeped in repair sets
Standby title, model, specification, and the data relevant to intelligent home device that user is inputted by test paper mode during this period,
Such as, the intelligent home device function liked, the intelligent home device profile of desired acquisition, the Smart Home that do not likes set
Standby application；Even product data use Trace Data that can also include intelligent home device etc., wherein, uses Trace Data
May be used to characterize user and carried out which function setting, and corresponding function setting ginseng when operating intelligent home device
Number, and operation order, etc..As long as all data relevant to intelligent home device can serve as product data.
Owing to the customer data in the embodiment of the present invention can include client's basic attribute data, customer consuming behavior number
According to, member's level data, client to the evaluating data of product and client's internet relation data, product data specifically can be wrapped
Include purchase product attribute information, buy product price information, purpose purchase product information etc..Above-mentioned data cover user substantially
And be beneficial to manufacturer between product and rely and analyze acquisition and be applicable to the every aspect information of this user.
Visible, the product data source in the embodiment of the present invention can be by diversified from the daily life of user
Source and channel obtain, the user data variation that therefore having to rely analyzes, and analyze the result accuracy obtained more
Height, the wider array of technique effect of the scope of application.
Optionally, after obtaining product data and customer data by data acquisition subsystem, the data that can will gather
In at least one data base being stored in data handling system, this process may is that the Data Source of the data determining collection；Root
According to Data Source, the data of collection are stored at least one data base；Wherein, if the data gathered process from data
The customer terminal equipment that system is connected, then be stored in the internal database at least one data base by the data of collection, otherwise,
The data of collection are stored in the external data base at least one data base.
In actual applications, between the data base of data source and data storage, can have certain incidence relation, therefore,
The data of collection can be stored in data handling system in the most individual data base by difference based on data source.Such as, can be by
From the data of enterprises as internal data, thus it is stored in internal database, such as CRM data, enterprise's metadata etc.,
And by the data from outside data such as community network, client web site etc., as forum information, trend information etc. are stored in outside
In data base.
Optionally, according to data origin information, when the data of collection are stored at least one data base, it is also possible to
Comprise determining that the Platform Type of the market demand platform of the data of collection, in the data of collection being stored in based on Platform Type
In the data base corresponding with Platform Type comprised in portion data base or external data base.
In actual applications, in being defined as by the CRM data of enterprises, web site activity data, customer service data
After portion's data, when each data source is stored internal database, can be according to the platform of the market demand platform of its Data Source
Type, distributes corresponding data base to it in internal database.
Such as, however, it is determined that the data of collection are CRM data, as the relation data between client and client can be included, with
And the relation data between client and relatives and friends, job market friend, it is determined that it comes from the CRM of enterprises, therefore can be by this
A little data leave the CRM database in internal database in.Or, however, it is determined that the data of collection are enterprise's metadata, as permissible
Including metadata corresponding with intelligent home device such as the title of intelligent home device product, function, basic technical indicators, it can
From the metadata acquisition platform of enterprises in enterprise's metadata then can be left the enterprise's metadatabase in internal data
In.
It should be noted that the customer database that internal database includes, CRM database and enterprise's metadatabase can
Being to be built by the production firm of intelligent home device oneself, or, it is also possible to it is that database root is according to data origin information
Automatically the data base divided in internal database, thus improve the intellectuality of data handling system, it is simple to the management of data.
Optionally, however, it is determined that data are external data, such as may production firm with intelligent home device have
Webpage forum that the outside firm of cooperation character is built, behavior record equipment, questionnaire etc. facilities and equipment or operation, its
Corresponding forum information data base, trend information data base, daily behavior information database and social networks information database
Corresponding data base can be stored in external data base, such as forum information data base, trend information data base, daily behavior letter
Breath data base and social networks information database etc..
S12: Data Integration processing subsystem obtains and carries out customer data and product data integrating classification, it is thus achieved that at least
Three major types data, at least three major types data include client's base attribute class data, consumer product interest class data and customer event
Class data.
In the embodiment of the present invention, Data Integration processing subsystem can customer database from internal database, CRM number
According to storehouse and enterprise's metadatabase, and the forum information number from the external data base being connected with Data Integration processing subsystem
According in storehouse, trend information data base, daily behavior information database and social networks information database, it is thus achieved that relevant to client
Customer data and the product data relevant to product, and then by data are drawn logical integration process, it is possible to achieve at least
Data in one data base carry out integrating classification, it is simple to the later stage is to the management of data and application.
In actual applications, client's base attribute class data can include the basic social property data of user and the most raw
Reason attribute data etc..Basic social property data can include the address of client, family relation data etc. and primary social relationship
Relevant data, basic physiological attribute data can include the sex of client, age, height, body weight etc. and basic physiological attribute
Relevant data.
Such as, client's base attribute class data can include the name of user, address, father and mother's name of user, user
Children's name, the name of relative good friend of user, the occupation of user, position, the occupation of relative good friend, position etc. social property
Data.And, client's base attribute class data can also include user and its society sex of related personnel, the age, pressure value,
The physiological attribute data such as blood fat value, history of disease.
Consumer product interest class data could be for characterizing user's data to the preference of intelligent home device.Such as,
It can include the application of the preferred intelligent home device type of user, function, profile etc., naturally it is also possible to includes user institute
The intelligent home device kind that do not likes, application, outward appearance etc..As long as with user for intelligent home device happiness dislike interest phase
The data closed can serve as consumer product interest class data.
Customer event class data by characterize user buying, use, keep in repair intelligent home device during occurred
Event.Such as, if the user while there occurs when buying intelligent home device and abandon because of intelligent home device selling at exorbitant prices buying
Event time, then this event can be carried out record as customer event class data.
In practical implementation, above-mentioned three class data can be obtained by the input of corresponding respectively, the most also may be used
Automatically above-mentioned three class data are extracted with the analysis identification by word content.Can basis in actual mechanical process
Need and arrange voluntarily.
Optionally, obtain at least after three major types data by Data Integration processing system the integration of data being processed, also
Can be big at least three by the user profile processing subsystem being connected with Data Integration processing subsystem in data handling system
Class data process, it is thus achieved that client's descriptor data set, wherein, at least can include that client interests is retouched in client's descriptor data set
State class data, client's consumption feature class data, client to product evaluation class data, etc..
In actual applications, can be according to a predetermined corresponding relation by Text region and application programming, total score
The use that analysis acquisition is corresponding with client's base attribute class data, consumer product interest class data and customer event class aggregation of data
Family descriptor data set.
Such as, when party A-subscriber is male, 60 years old, having 5 mouthfuls of people jointly to live in family, home environment is paid close attention to more by it, this use
The intelligent home device of B production firm was repeatedly bought at family, and this user occurred when buying certain home equipment because of this family
The event that the equipment of residence belongs to high-end consumer group and returns goods.Therefore, system can determine the user of party A-subscriber based on above-mentioned data analysis
Descriptor data set may include that, therefore its interesting measure class data can be with table because age of user is bigger than normal and pays close attention to home environment
Levying and be dried comfortable environment for this user preferences, the level of consumption of this user tends to low and middle-end customer type, and this user is raw to B
The intelligent home device producing manufacturer's product has public's praise.
In the embodiment of the present invention, from multiple data sources, gather corresponding customer data and product by data acquisition subsystem
Product data, therefore the collection to data is more comprehensive, and then store it in corresponding with data source at least one data base number
According in storehouse, by Data Integration processing subsystem, the integration of product data and customer data is processed, split data at least three
Big class data, in order to the data after processing are analyzed and manage by data handling system.
As it is shown on figure 3, based on same inventive concept, the embodiment of the present invention is also disclosed a kind of data handling system, these data
Processing system includes data acquisition subsystem, at least one data base and Data Integration processing subsystem.
Data acquisition subsystem may be used for gathering and client's phase from the data source being connected with described data handling system
The customer data closed and the product data relevant to product.
At least one data base may be used for storing described customer data and described product data.
Data Integration processing subsystem may be used for obtaining and integrating described customer data and described product data
Classification, it is thus achieved that at least three major types data, described at least three major types data include client's base attribute class data, consumer product interest
Class data, customer event class data.
Optionally, described data acquisition subsystem, when for data acquisition, can include following two aspect:
Aspect one: described data acquisition subsystem gather from data source the client basic attribute data relevant to client,
Customer consuming behavior data, member data, client are to the evaluating data of product and client's internet relation data；And
Aspect two: described data acquisition subsystem gathers the product data relevant to product from data source, including: product
Attribute data, production marketing data, product service data, product data after sale；
Further, after collecting product data and customer data, the data of collection can also be deposited by data acquisition subsystem
Storing up at least one data base described, this at least one data base includes internal database and external data base.
Optionally, described data acquisition subsystem is used for:
Determine the Data Source of the data of described collection；
According to described Data Source, the data of described collection are stored at least one data base described；Wherein, if institute
State the data of collection from the customer terminal equipment being connected with described data handling system, then the data of described collection are stored in
The data of described collection otherwise, are stored at least one data described by the internal database at least one data base described
External data base in storehouse.
Optionally, described data acquisition subsystem is used for:
Determine the Platform Type of the market demand platform of the data of described collection；
Based on described Platform Type, the data of described collection are stored in described internal database or described external data base
In in the data base corresponding with described Platform Type that comprise.
Optionally, described Data Integration processing subsystem is used for:
Customer data in described Data Integration processing subsystem internal database from least one data base described
Forum's letter in storehouse, CRM database and enterprise's metadatabase, and the external data base from least one data base described
Breath data base, trend information data base, in daily behavior information database and social networks information database, it is thus achieved that with client
Relevant customer data and the product data relevant to product.
Optionally, described data handling system also includes:
User profile processing subsystem, for described Data Integration processing subsystem obtain and to described customer data and
Described product data carry out integrate classification, it is thus achieved that at least after three major types data, by with described Data Integration processing subsystem
Described at least three major types data are processed by the user profile processing subsystem connected, it is thus achieved that client's descriptor data set；And base
In described client's descriptor data set, generate and send service letter to the customer terminal equipment being connected with described data handling system
Breath；Described client's descriptor data set at least includes: client interests describes class data, client's consumption feature class data, client couple
Product evaluation class data.
The various variation patterns of the collecting method of earlier figures 2 and instantiation are equally applicable to the flat of the present embodiment
Platform, by the aforementioned detailed description to method, those skilled in the art are it is clear that the enforcement of platform in the present embodiment
Method, so succinct for description, is not described in detail in this.
Obviously, those skilled in the art can carry out various change and the modification essence without deviating from the present invention to the present invention
God and scope.So, if these amendments of the present invention and modification belong to the scope of the claims in the present invention and equivalent technologies thereof
Within, then the present invention is also intended to comprise these change and modification.
Claims (12)
1. a collecting method, is applied in a data handling system, it is characterised in that described data handling system includes
Data acquisition subsystem, Data Integration processing subsystem, and at least one number being connected with described Data Integration processing subsystem
According to storehouse, described method includes:
Described data acquisition subsystem gathers the client relevant with client from the data source being connected to described data handling system
Data and the product data relevant to product, and described customer data and described product data are stored at least one number described
According in storehouse；
Described Data Integration processing subsystem obtains and carries out described customer data and described product data integrating classification, it is thus achieved that
At least three major types data, described at least three major types data include client's base attribute class data, consumer product interest class data and
Customer event class data.
2. the method for claim 1, it is characterised in that described data acquisition subsystem processes from described data
The data source that system is connected gathers the customer data relevant to client and the product data relevant with product, and by described client
Data and described product data are stored at least one data base described, including:
Described data acquisition subsystem gathers the client basic attribute data relevant to client, customer consuming behavior from data source
Data, member data, client are to the evaluating data of product and client's internet relation data；And
Obtain the product data relevant to product, including: product attribute data, production marketing data, product service data, product
Data after sale；
The data of collection are stored at least one data base described.
3. method as claimed in claim 2, it is characterised in that described the data of collection are stored at least one data described
In storehouse, including:
Determine the Data Source of the data of described collection；
According to described Data Source, the data of described collection are stored at least one data base described；Wherein, if described in adopt
The data of described collection from the customer terminal equipment being connected with described data handling system, are then stored in described by the data of collection
The data of described collection otherwise, are stored at least one data base described by the internal database at least one data base
External data base.
4. method as claimed in claim 3, it is characterised in that described according to described data origin information, by described collection
Data store at least one data base described, including:
Determine the Platform Type of the market demand platform of the data of described collection；
Based on described Platform Type, the data of described collection are stored in described internal database or described external data base bag
In the data base corresponding with described Platform Type contained.
5. the method for claim 1, it is characterised in that described Data Integration processing subsystem obtains and to described
Customer data and described product data carry out integrating classification, including:
Customer database in described Data Integration processing subsystem internal database from least one data base described,
Forum information in CRM database and enterprise's metadatabase, and the external data base from least one data base described
In data base, trend information data base, daily behavior information database and social networks information database, it is thus achieved that with client's phase
The customer data closed and the product data relevant to product.
6. the method as described in claim as arbitrary in claim 1-5, it is characterised in that obtain at described Data Integration processing subsystem
And carry out integrating classification to described customer data and described product data, it is thus achieved that at least after three major types data, described method is also
Including:
By the user profile processing subsystem that is connected with described Data Integration processing subsystem to described at least three major types data
Process, it is thus achieved that client's descriptor data set；
Based on described client's descriptor data set, generate and send clothes to the customer terminal equipment being connected with described data handling system
Business information；Described client's descriptor data set at least includes: client interests describes class data, client's consumption feature class data, visitor
Family is to product evaluation class data.
7. a data handling system, it is characterised in that described data process and include:
Data acquisition subsystem, for gathering the client relevant with client from the data source being connected to described data handling system
Data and the product data relevant to product；
At least one data base, is used for storing described customer data and described product data；
Data Integration processing subsystem, integrates classification for obtaining and carrying out described customer data and described product data, obtains
Obtaining at least three major types data, described at least three major types data include client's base attribute class data and consumer product interest class data
And customer event class data.
8. data handling system as claimed in claim 7, it is characterised in that described data acquisition subsystem is used for:
Described data acquisition subsystem gathers the client basic attribute data relevant to client, customer consuming behavior from data source
Data, member data, client are to the evaluating data of product and client's internet relation data；And
Gather the product data relevant to product, including: product attribute data, production marketing data, product service data, product
Data after sale；
The data of collection are stored at least one data base described.
9. data handling system as claimed in claim 8, it is characterised in that described data acquisition subsystem is used for:
Determine the Data Source of the data of described collection；
According to described Data Source, the data of described collection are stored at least one data base described；Wherein, if described in adopt
The data of described collection from the customer terminal equipment being connected with described data handling system, are then stored in described by the data of collection
The data of described collection otherwise, are stored at least one data base described by the internal database at least one data base
External data base.
10. data handling system as claimed in claim 9, it is characterised in that described data acquisition subsystem is used for:
Determine the Platform Type of the market demand platform of the data of described collection；
Based on described Platform Type, the data of described collection are stored in described internal database or described external data base bag
In the data base corresponding with described Platform Type contained.
11. data handling systems as claimed in claim 7, it is characterised in that described Data Integration processing subsystem is used for:
Customer database in described Data Integration processing subsystem internal database from least one data base described,
Forum information in CRM database and enterprise's metadatabase, and the external data base from least one data base described
In data base, trend information data base, daily behavior information database and social networks information database, it is thus achieved that with client's phase
The customer data closed and the product data relevant to product.
Data handling system as described in 12. claims as arbitrary in claim 7-11, it is characterised in that described data handling system is also
Including:
User profile processing subsystem, for obtaining and to described customer data and described at described Data Integration processing subsystem
Product data carry out integrating classification, it is thus achieved that at least after three major types data, by being connected with described Data Integration processing subsystem
User profile processing subsystem described at least three major types data are processed, it is thus achieved that client's descriptor data set；And based on institute
State client's descriptor data set, generate and send service information to the customer terminal equipment being connected with described data handling system；Institute
State in client's descriptor data set and at least include: client interests describes class data, client's consumption feature class data and client to product
Evaluate class data.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2016101718969 | 2016-03-23 | ||
| CN201610171896 | 2016-03-23 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106204101A true CN106204101A (en) | 2016-12-07 |
Family
ID=57461339
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610483004.9A Pending CN106204101A (en) | 2016-03-23 | 2016-06-27 | A kind of collecting method and data handling system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106204101A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110912915A (en) * | 2019-11-29 | 2020-03-24 | 合肥开元埃尔软件有限公司 | Communication safety early warning system based on data acquisition |
| CN112035472A (en) * | 2020-08-28 | 2020-12-04 | 中国平安财产保险股份有限公司 | Data processing method, data processing device, computer equipment and storage medium |
Citations (5)
| 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 |
| CN102750613A (en) * | 2012-06-06 | 2012-10-24 | 北京淘礼网科技有限公司 | Method and device for exchanging customer point data of customer relationship management (CRM) systems |
| 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 |
| CN104751235A (en) * | 2013-12-27 | 2015-07-01 | 伊姆西公司 | Method and device for data mining |
| CN105302917A (en) * | 2015-11-19 | 2016-02-03 | 中国建设银行股份有限公司 | Data processing system and data processing method applied to e-commerce platform |
-
2016
- 2016-06-27 CN CN201610483004.9A patent/CN106204101A/en active Pending
Patent Citations (5)
| 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 |
| CN102750613A (en) * | 2012-06-06 | 2012-10-24 | 北京淘礼网科技有限公司 | Method and device for exchanging customer point data of customer relationship management (CRM) systems |
| CN104751235A (en) * | 2013-12-27 | 2015-07-01 | 伊姆西公司 | Method and device for data mining |
| 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 |
| CN105302917A (en) * | 2015-11-19 | 2016-02-03 | 中国建设银行股份有限公司 | Data processing system and data processing method applied to e-commerce platform |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110912915A (en) * | 2019-11-29 | 2020-03-24 | 合肥开元埃尔软件有限公司 | Communication safety early warning system based on data acquisition |
| CN110912915B (en) * | 2019-11-29 | 2021-09-21 | 合肥开元埃尔软件有限公司 | Communication safety early warning system based on data acquisition |
| CN112035472A (en) * | 2020-08-28 | 2020-12-04 | 中国平安财产保险股份有限公司 | Data processing method, data processing device, computer equipment and storage medium |
| CN112035472B (en) * | 2020-08-28 | 2023-11-07 | 中国平安财产保险股份有限公司 | Data processing method, device, computer equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Cui et al. | The effect of online consumer reviews on new product sales | |
| CN106204100B (en) | Data processing method and data processing system | |
| CN105930540A (en) | Data processing system | |
| CN107004203A (en) | Information processing system and method | |
| CN106127521A (en) | A kind of information processing method and data handling system | |
| CN102663626A (en) | Collaborative filtering recommended method based on provincial characteristics | |
| KR20190142500A (en) | Method for recommending cosmetic products and system for performing the same | |
| CN109118283A (en) | Precision marketing service system based on big data | |
| WO2013119280A1 (en) | Tools and methods for determining relationship values | |
| KR20120036414A (en) | Method and system for managing clothes by user personalized type and server having function therefore | |
| US20210383452A1 (en) | Commodity recommendation system | |
| CN106202216A (en) | A kind of data processing method and data handling system | |
| JP2005235139A (en) | Cosmetics evaluation information analyzing system and method | |
| CN110807691B (en) | Cross-commodity-class commodity recommendation method and device | |
| Weng et al. | Personalized product recommendation in e-commerce | |
| CN109118282B (en) | Dual-mode mutual inductance intelligent space user portrait management method and terminal | |
| CN110264253A (en) | A kind of method and device of skin-protection product purchase consulting | |
| CN106204101A (en) | A kind of collecting method and data handling system | |
| CN109903080A (en) | A kind of customer analysis system for electric business platform | |
| CN106202218A (en) | A kind of data processing method and data handling system | |
| Faqih et al. | The Influence Of Building And Atmosphere On The Development Of Coffee Shop Businesses In The SDGs Era Through Social Media As Intervening Variable | |
| US9542497B2 (en) | Information processing apparatus, information processing method, and information processing program | |
| CN110781399A (en) | Cross-platform information pushing method and device | |
| Sharma et al. | Showrooming: a retrospective and prospective review using the SPAR-4-SLR methodological framework | |
| CN113609375A (en) | Content recommendation method and device, storage medium and electronic device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161207 |
|
| RJ01 | Rejection of invention patent application after publication |