CN106202216A - A kind of data processing method and data handling system - Google Patents
A kind of data processing method and data handling system Download PDFInfo
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- CN106202216A CN106202216A CN201610490567.0A CN201610490567A CN106202216A CN 106202216 A CN106202216 A CN 106202216A CN 201610490567 A CN201610490567 A CN 201610490567A CN 106202216 A CN106202216 A CN 106202216A
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Abstract
The present invention provides a kind of data processing method and data handling system, for solving the technical problem that in prior art, data handling system ability of data processing is poor.The method includes: Data Integration processing subsystem obtains and customer data and product data from internal database and external data base, carry out described customer data and described product data integrating classification, obtain 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, user profile processing subsystem obtains from described Data Integration processing subsystem and to described client's base attribute class data, described consumer product interest class data and described customer event class data process, obtain client's descriptor data set, and based on described client interests, class data are described, described client's consumption feature class data and described client properties class data, obtain at least one user and keep scheme.
Description
Technical field
The present invention relates to electronic technology field, particularly to a kind of data processing 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, intelligent home device manufacturer, when the loss judging user, is typically only capable to after production, according to product
Sales volume or the liveness of user determine, therefore, corresponding sales volume out before manufacturer possibly cannot understand use
Whether client's amount of its product is running off, thus the most just cannot prepare to keep accordingly measure in advance, and even, some data process
Even if system is perceiving the problem of customer churn, due to limited in one's ability to the analyzing and processing of data, may also cannot be preferable
Provide measure of effectively keeping, thus cause customer churn situation the most serious.
In summary, in prior art, data handling system is poor to the disposal ability of data.
Summary of the invention
The present invention provides a kind of data processing method and data handling system, is used for solving data in prior art and processes system
The technical problem that system ability of data processing is poor.
On the one hand the application provides a kind of information processing method, is applied in a data handling system, at described data
Reason system includes Data Integration processing subsystem, and the internal database being connected with described Data Integration processing subsystem, with described
The user profile processing subsystem that Data Integration processing subsystem connects, described method includes:
Described Data Integration processing subsystem is connected from described internal database and with described Data Integration processing subsystem
External data base in obtain the customer data relevant to client and with product be correlated with product data；
Described customer data and described product data are carried out integrating classification by described Data Integration processing subsystem, it is thus achieved that extremely
Few three major types data, described at least three major types data include client's base attribute class data, consumer product interest class data and visitor
Family event class data；
Described user profile processing subsystem obtains from described Data Integration processing subsystem and substantially belongs to described client
Property class data, described consumer product interest class data and described customer event class data process, it is thus achieved that client describes number
According to collection, described user profile data set at least including, client interests describes class data, client's consumption feature class data and client
Attribute class data；
Described user profile processing subsystem describes class data, described client's consumption feature class number based on described client interests
According to and described client properties class data, it is thus achieved that at least one user keeps scheme.
On the other hand, the application also provides for a kind of data handling system, and described data process and include:
At least one data base, including internal database and external data base, for depositing the client number relevant to client
According to and product data relevant to product；
Data Integration processing subsystem, for obtaining described customer data and described product number from least one data base
According to, and carry 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 is big
Class data include client's base attribute class data, consumer product interest class data and customer event class data；
User profile processing subsystem, for obtaining from described Data Integration processing subsystem and substantially belonging to described client
Property class data, described consumer product interest class data and described customer event class data process, it is thus achieved that client describes number
According to collection, and based on described client interests, class data, described client's consumption feature class data and described client properties class data are described,
Obtain at least one user and keep scheme；Wherein, described user profile data set at least includes: client interests describes class number
According to, client's consumption feature class data and client properties 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 Integration processing subsystem from internal database and and data
The external data base that integron system connects obtains the customer data relevant to client and the product data relevant with product, and
Carry out integrating classification based on customer data and product data, it is thus achieved that include client's base attribute class data, consumer product interest class
Data, customer event class data at least three major types data, then by user profile processing subsystem, at least three major types data are entered
Row processes, it is thus achieved that include that client interests describes class data, client's consumption feature class data, client's use to product evaluation class data
Family descriptor data set, then obtain at least one user based on user profile data set analysis and keep scheme.Thus, by user
Data and the process of product data, can relatively accurately draw the user profile data set relevant to client, thus based on
Family descriptor data set may determine that at least one user keeps scheme, it is to avoid causes the loss of client, it is achieved processed by data
What the process of data was improved business to customer by system keeps effect, it is to avoid cause the loss of client.
The application the most also has the following technical effect that or advantage:
Further, can be entered by diversified source and channel from the daily life of user due to Data Source
Row obtains, and the data therefore gathered have variation, makes data be easy to management by integrating classification process, improves data pipe
The technique effect of reason effect.
Further, because class data, client's consumption feature class data and client can be described to product based on client interests
Evaluate class data, analyze and obtain the accurate critical data being conducive to manufacturer to carry out formulating customer retention scheme, therefore also have and carry
The technique effect of high analyte result accuracy.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of data handling system in the embodiment of the present invention；
Fig. 2 is the flow chart of data processing method in the embodiment of the present invention；
Fig. 3 is the primary structure schematic diagram of data handling system in the embodiment of the present invention.
Detailed description of the invention
The present invention provides a kind of data processing method and data handling system, is used for solving data in prior art and processes system
The technical problem that system ability of data processing is poor.
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 embodiment of the present application can first pass through Data Integration processing subsystem from internal database and
The external data base connected to Data Integration subsystem obtains the customer data relevant with client and the product relevant with product
Data, and carry out integrating classification based on customer data and product data, it is thus achieved that include client's base attribute class data, consumer product
Interest class data, customer event class data at least three major types data, then by user profile processing subsystem at least three major types
Data process, it is thus achieved that include that client interests describes class data, client's consumption feature class data, client to product evaluation class number
According to user profile data set, then obtain at least one user based on user profile data set analysis and keep scheme.Thus, pass through
To user data and the process of product data, can preferably draw the transfer descriptor data set relevant to client, thus base
May determine that at least one user keeps scheme in user profile data set, it is to avoid cause the loss of client, it is achieved pass through data
What the process of data was improved business to customer by processing system keeps effect, it is to avoid cause the loss of client.
In the embodiment of the present invention, data handling system can include that internal database, external data base, Data Integration process
Subsystem and user profile processing subsystem, its corresponding functional schematic is as shown in Figure 1.
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 Integration processing subsystem is included according to processing system, the internal database being connected with described Data Integration processing subsystem, with
The user profile processing subsystem that described Data Integration processing subsystem connects, the method can be described as follows.
S11: Data Integration processing subsystem is from internal database and the external number that is connected with Data Integration processing subsystem
According to storehouse obtains the customer data relevant to client and the product data relevant with product.
In the embodiment of the present invention, product data can include Smart Home that user bought, used, that keeped in repair
Device name, model, specification, and the number relevant to intelligent home device that user is inputted by test paper mode during this period
According to, such as, the intelligent home device function liked, the intelligent home device profile of desired acquisition, the intelligent family that do not likes
Occupy equipment application；Even product data use Trace Data that can also include intelligent home device etc., wherein, uses vestige
Data may be used to characterize user and carried out which function setting, and corresponding function setting when operating intelligent home device
Parameter, and operation order, etc..As a rule, as long as all data relevant to intelligent home device can serve as
Product data, this is not specifically limited by the present invention.
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 or external data base input the customer data of user；Can also with
When family uses intelligent home device, the use Trace Data of user is transferred to distal internal Cloud Server data by network
Storehouse, or be directly stored in the storage device in intelligent home device, when these data transferred by needs, can be grasped by far-end
Make directly to obtain corresponding customer data.
Optionally, the process of S11 may include that described Data Integration processing subsystem client's number from internal database
According to storehouse, CRM database and enterprise's metadatabase；And the forum from the external data base being connected with Data Integration subsystem
In information database, trend information data base, daily behavior information database and social networks information database, it is thus achieved that with visitor
Customer data that family is relevant and the product data relevant to product.
Wherein, CRM (Customer Relationship Management, customer relation management) data base can include
Relation data between relation data between client and client, and client and relatives and friends, job market friend etc..
Enterprise's metadatabase can include the title of intelligent home device product, function, basic technical indicator etc. and intelligence
The metadata that home equipment is corresponding.
Alternatively, the customer data relevant to client obtained in data handling system and the product number relevant with product
According to, may include that and obtain the client basic attribute data relevant to client, customer consuming behavior data, product is commented by client
Valence mumber evidence, client's internet relation data；And obtain the product data relevant to product, including: purchase product attribute information,
Buy product price information and purpose purchase product information etc..
Customer consuming behavior data may refer to client and use which kind of mode to buy intelligent home device, such as, and Ke Hu
The shopping at network mode used when buying intelligent home device, the most described 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, and the most described customer consuming behavior data characterization is real
Body shop is consumed；Client uses serial shopping way when buying intelligent home device, and the most described client consumes row
It is installment payment for data characterization, etc., disappear as long as the data relevant to consuming behavior can serve as described client
Take behavioral data.
It is to say, in the technical scheme of the embodiment of the present application, described customer data and the source of described product data
Customer database, CRM database and unit of the enterprise number specifically can built from the production firm of intelligent home device oneself
Obtain according in storehouse.The webpage that the outside firm of cooperation character is built can also be had from the production firm with intelligent home device
Forum, behavior record equipment, questionnaire etc. facilities and equipment or operation, corresponding forum information data base, trend information
Data base, daily behavior information database and social networks information database obtain.
Further, described user data specifically can include client's basic attribute data, customer consuming behavior data, client couple
The evaluating data of product, client's internet relation data；Described product data specifically can include buying product attribute information,
Purchase product price information, purpose purchase product information, etc..Above-mentioned data substantially cover and are beneficial to manufacturer between user and product
Rely to analyze and obtained the every aspect information being applicable to this user.
Visible, the described product data source in the embodiment of the present application can be by multiple many from the daily life of user
Source and the channel of sample obtain, the user data variation that therefore having to rely analyzes, and analyze the result obtained accurate
Property is higher, the wider array of technique effect of the scope of application.
Customer data and product data are carried out integrating classification by S12: Data Integration processing subsystem, 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, customer event class data.
In the embodiment of the present invention, client's base attribute class data can include the basic social property data of user and basic
Physiological attribute data etc..Basic social property data can include that the address of user, family relation data etc. are closed with basic society
The data that system is relevant；Basic physiological attribute data can include that the sex of user, age, height, body weight etc. belong to basic physiological
Property 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's
Children's name, the name of the relative good friend of user, the occupation of user, position, the occupation of relative good friend, position, etc. society belong to
Property data；Client's base attribute class data can also include user and its society sex of related personnel, age, pressure value, blood
Fat value, history of disease, etc. physiological attribute data.
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 could be for characterizing user buying, use, keep in repair intelligent home device during
Institute's event.Such as, if the user while there occurs because of intelligent home device selling at exorbitant prices when buying intelligent home device
When abandoning the event bought, then this event can be carried out record as customer event class data.
During the execution of this step, above-mentioned three class data can be obtained respectively by the input of corresponding, certainly
Automatically above-mentioned three class data can also be extracted by the analysis identification of word content.In actual mechanical process permissible
Arrange the most voluntarily.
S13: user profile processing subsystem obtains from Data Integration processing subsystem and to client's base attribute class data,
Consumer product interest class data and customer event class data process, it is thus achieved that client's descriptor data set, user profile data
Concentrate and at least include: client interests describes class data, client's consumption feature class data and client properties class data.
During the execution of this step, can be compiled by Text region and application program according to a predetermined corresponding relation
Journey, comprehensive analysis obtains and client's base attribute class data, consumer product interest class data and customer event class aggregation of data
Corresponding user profile data set.
Such as, when party A-subscriber be male, 60 years old, family has 5 mouthfuls of people jointly live, its to home environment pay close attention to more, 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.
S14: user profile processing subsystem describes class data, client's consumption feature class data and client based on client interests
Attribute class data, it is thus achieved that at least one user keeps scheme.
During the execution of this step, the arithmetic programming that again may be by application program obtains and client interests description
Class data, client's consumption feature class data, client properties class data and client are corresponding at least to product evaluation class data
One user keeps scheme.
Optionally, the process of S14 can include but are not limited to the following aspects:
First aspect: describe class data based on user interest, user profile processing subsystem client is paid close attention to product channel,
Product column and product content are analyzed, and determine client interests result, and generate New Products Recommendation based on client interests result
Scheme.
In actual applications, can be by the analysis to the product that the client obtained pays close attention to, such as product type, product merit
Energy, product price, product buying pattern etc., obtain customer loyalty result.
Such as, if the interesting measure class data characterization of A client is that this user is to some type of intelligent home device interest
Rank is higher, and the product evaluation class data characterization of this client is that the intelligent home device producing a certain production firm is evaluated relatively
Height, then that the product loyalty result of client can be characterized as loyalty is higher for user profile processing subsystem.
Or such as, it is domestic hygiene, and its when client interests describes the interest focus that class data characterization is A client
Like the cleaning device of low noise, automatization, then corresponding New Products Recommendation scheme can be to A lead referral family scavenging machine
Device people, Low noise cleaner, etc..
Second aspect: based on client's consumption feature class data, the purchase product of client is belonged to by user profile processing subsystem
Property, the data of product review and product price are analyzed, it is thus achieved that the consumption result of client, and consumption result based on client is raw
Become product marketing prioritization scheme.
In actual applications, by client's consumption feature class data for show product attribute that client buys and
Use the analysis of the data of the product review after product and product price, it may be determined that go out consumption idea and the consumption water of client
Flat, thus corresponding product marketing prioritization scheme and after services of product prioritization scheme i.e. can be generated according to analysis result.
Such as, if fruit is that middle-end consumes water by the level of consumption that the analysis of client's consumption feature class data determines client
Flat, it is intended to buying pattern under line, its consumer products are mainly mobile electronic product, such as smart mobile phone, panel computer, moving charging
Electricity power supply etc., therefore can market increasing on the line of electronic product.
Or, when client's consumption feature class data characterization is the number of users being carried out intelligent home device consumption by net purchase
Get more and more with consuming behavior, then can develop Network Marketing Mode more.
And, if showing that the first client exists the deadlock occurred during using electronic product and answers by comment data
With dodging the suggestion moving back phenomenon, now, then after-sale service can be optimized for carrying out the scheme etc. of system toll-free upgrading.
The third aspect: based on client properties class data, user profile processing subsystem is to the physical feature of client and society
Feature is analyzed, it is thus achieved that potential user excavates scheme.
Wherein, client's physical feature can include the base attribute of client, such as region, sex, age etc., it is also possible to include
The occupation of client, hobby, family population attribute etc., and social characteristic can include the Social Identity of client, such as student, religion
Teacher, retired person etc., and the affiliated industry of client, customer contact etc., such that it is able to carry out usage mining based on client
Scheme.
Such as, data based on client properties class determine the working clan that user A is IT industry, social network based on user A
Network relation determines that its contact person mostly is IT industry personage, therefore can be based on the product demand of IT industry, the contact can being correlated with user A
People recommends corresponding product, even, is also based in Cloud Server the tendency product of the contact person of record, and is recommended use
Family A, to realize the user A generation interest to product.
Fourth aspect: based on client to product evaluation class data, the user profile processing subsystem feedback opinion to client
And being analyzed of product customer satisfaction, it is thus achieved that optimize the scheme of consumer products.
Such as, if client is after buying product, feedback easily occurs during using electronic product that card machine or application are dodged
Situation about moving back, causes user relatively low to the satisfaction of product, and user even may require that and exchanges goods/return goods.
Certainly, in actual applications, it is also possible to investigate for customer revenue, thus to obtain relevant customer churn former
Cause, such as product price height, product function defect, poor user experience, after-sale service are the best etc., thus are also based on running off
The feedback of client, formulates relevant product and/or service improving countermeasure, such as carry out product free upgrade, make house calls/line on
Instruct, take corresponding competitively priced policy etc., thus avoid causing more customer churn, even can also retrieve part stream
Lose client.
Optionally, after generating New Products Recommendation scheme based on product loyalty result, it is also possible to including: user profile
Processing subsystem will generate and excellent to the customer terminal equipment transmission Products Show information being connected with data handling system and product
Change investigation information, and obtain customer terminal equipment products perfection advisory information based on products perfection investigation information feedback；User
Service optimization information is sent product design system by information processing subsystem.
In actual mechanical process, it is also possible to while sending products perfection investigation information, collect client to product
Recommendation on improvement etc..
In the embodiment of the present invention, obtain client for the suggestions on Optimization of intelligent home device after, system meeting
Automatically faster for these suggestions on Optimization is sent to product design system end, so that product design personnel are for these
Recommendation on improvement quickly responds, so that the optimization of intelligent home device and improvement quickly combine with customer demand, has
Rapidly and effectively improve the suitability of product, thus improve the effectiveness keeping user.
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 at least one data base, Data Integration processing subsystem and user profile processing subsystem.
Wherein, at least one data base can include internal database and external data base, is used for depositing relevant to client
Customer data and the product data relevant to product
Data Integration processing subsystem, for obtaining described customer data and described product number from least one data base
According to, and carry 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 is big
Class data include client's base attribute class data, consumer product interest class data and customer event class data；
User profile processing subsystem, for obtaining from described Data Integration processing subsystem and substantially belonging to described client
Property class data, described consumer product interest class data and described customer event class data process, it is thus achieved that client describes number
According to collection, and based on described client interests, class data, described client's consumption feature class data and described client properties class data are described,
Obtain at least one user and keep scheme；Wherein, described user profile data set at least includes: client interests describes class number
According to, client's consumption feature class data and client properties class data.
Optionally, described user profile processing subsystem is used for:
Describing class data based on described user interest, client is paid close attention to product channel, product by user profile processing subsystem
Column and product content are analyzed, and determine consumer product loyalty result, and generate based on described product loyalty result new
Products Show scheme；And/or
Based on described client's consumption feature class data, the product that client is consumed by described user profile processing subsystem belongs to
Property, product review and product price be analyzed, it is thus achieved that the consumption result of client, and consumption result based on described client generates
Product marketing prioritization scheme and after services of product prioritization scheme；And/or
Based on described client properties class data, described user profile processing subsystem is special to physical feature and the society of client
Levy and be analyzed, it is thus achieved that potential user excavates scheme.
Optionally, described user profile processing subsystem is additionally operable to:
After generating New Products Recommendation scheme based on described product loyalty result, generate and process to described data
The customer terminal equipment that system connects sends Products Show information and products perfection investigation information, and obtains described client terminal and set
Standby products perfection advisory information based on described products perfection investigation information feedback；Described user profile processing subsystem is by described
Service optimization information is sent to product design system.
Optionally, described Data Integration processing subsystem is used for:
Described Data Integration processing subsystem customer database, CRM database and unit of enterprise from internal database
Data base；And forum information data base from the external data base being connected with described Data Integration subsystem, trend information
In data base, daily behavior information database and social networks information database, it is thus achieved that the customer data relevant to client and
The product data relevant to product.
Optionally, described Data Integration processing subsystem is used for:
Obtain the client basic attribute data relevant to client, customer consuming behavior data, client's evaluation number to product
According to and client's internet relation data；
Obtain the product data relevant to product, including: buy product attribute information, buy product price information and purpose
Purchase product information.
The various variation patterns of the data processing 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 (10)
1. a data processing method, is applied in a data handling system, and described data handling system includes at Data Integration
Reason subsystem, the internal database being connected with described Data Integration processing subsystem, with described Data Integration processing subsystem even
The user profile processing subsystem connect, it is characterised in that described method includes:
Described Data Integration processing subsystem is from described internal database and being connected with described Data Integration processing subsystem
Portion data base obtains the customer data relevant to client and the product data relevant with product；
Described customer data and described product data are carried out integrating classification by described Data Integration processing subsystem, it is thus achieved that at least three
Big class data, described at least three major types data include client's base attribute class data, consumer product interest class data and client's thing
Part class data；
Described user profile processing subsystem obtains from described Data Integration processing subsystem and to described client's base attribute class
Data, described consumer product interest class data and described customer event class data process, it is thus achieved that client's descriptor data set,
Described user profile data set at least including, client interests describes class data, client's consumption feature class data and client properties class
Data；
Described user profile processing subsystem based on described client interests describe class data, described client's consumption feature class data and
Described client properties class data, it is thus achieved that at least one user keeps scheme.
2. the method for claim 1, it is characterised in that described user profile processing subsystem is based on described client
Interesting measure class data, described client's consumption feature class data, and described client is to product evaluation class data, it is thus achieved that at least one
Individual user keeps scheme, including:
Describing class data based on described user interest, client is paid close attention to product channel, product column by user profile processing subsystem
And product content is analyzed, determines consumer product loyalty result, and generate new product based on described product loyalty result
Suggested design；And/or
Based on described client's consumption feature class data, product attribute that client is consumed by described user profile processing subsystem, product
Judge product price of touching upon to be analyzed, it is thus achieved that the consumption result of client, and consumption result based on described client generates product
Marketing optimization scheme and after services of product prioritization scheme；And/or
Based on described client properties class data, physical feature and the social characteristic of client are entered by described user profile processing subsystem
Row is analyzed, it is thus achieved that potential user excavates scheme.
3. method as claimed in claim 2, it is characterised in that generating New Products Recommendation based on described product loyalty result
After scheme, described method also includes:
Described user profile processing subsystem will generate and sends to the customer terminal equipment being connected with described data handling system
Products Show information and products perfection investigation information, and obtain described customer terminal equipment based on described products perfection investigation information
The products perfection advisory information of feedback；
Described service optimization information is sent to product design system by described user profile processing subsystem.
4. the method for claim 1, it is characterised in that described Data Integration processing subsystem is from described internal number
The customer data relevant with client and and product is obtained according to storehouse and to the external data base of described Data Integration subsystem connection
Relevant product data, including:
Described Data Integration processing subsystem customer database, CRM database and enterprise's metadata from internal database
Storehouse；And forum information data base from the external data base being connected with described Data Integration subsystem, trend information data
In storehouse, daily behavior information database and social networks information database, it is thus achieved that the customer data relevant to client and with product
The product data that condition closes.
5. the method for claim 1, it is characterised in that customer data that described acquisition is relevant to client and with product phase
The product data closed, including:
Obtain the client basic attribute data relevant to client, customer consuming behavior data, client to the evaluating data of product and
Client's internet relation data；
Obtain the product data relevant to product, including: buy product attribute information, buy product price information and purpose purchase
Product information.
6. a data handling system, it is characterised in that described data handling system includes:
At least one data base, including internal database and external data base, for deposit the customer data relevant to client and
The product data relevant to product；
Data Integration processing subsystem, for obtaining described customer data and described product data from least one data base,
And carry out integrating classification to described customer data and described product data, 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；
User profile processing subsystem, for obtaining and to described client's base attribute class from described Data Integration processing subsystem
Data, described consumer product interest class data and described customer event class data process, it is thus achieved that client's descriptor data set,
And based on described client interests, class data, described client's consumption feature class data and described client properties class data are described, it is thus achieved that
At least one user keeps scheme；Wherein, described user profile data set at least includes: client interests describes class data, visitor
Family consumption feature class data and client properties class data.
7. system as claimed in claim 6, it is characterised in that described user profile processing subsystem is used for:
Describing class data based on described user interest, client is paid close attention to product channel, product column by user profile processing subsystem
And product content is analyzed, determines consumer product loyalty result, and generate new product based on described product loyalty result
Suggested design；And/or
Based on described client's consumption feature class data, product attribute that client is consumed by described user profile processing subsystem, product
Judge product price of touching upon to be analyzed, it is thus achieved that the consumption result of client, and consumption result based on described client generates product
Marketing optimization scheme and after services of product prioritization scheme；And/or
Based on described client properties class data, physical feature and the social characteristic of client are entered by described user profile processing subsystem
Row is analyzed, it is thus achieved that potential user excavates scheme.
8. system as claimed in claim 7, it is characterised in that described user profile processing subsystem is additionally operable to:
Generating after New Products Recommendation scheme based on described product loyalty result, generate and to described data handling system
The customer terminal equipment connected sends Products Show information and products perfection investigation information, and obtains described customer terminal equipment base
Products perfection advisory information in described products perfection investigation information feedback；Described user profile processing subsystem is by described service
Optimization information is sent to product design system.
9. system as claimed in claim 6, it is characterised in that described Data Integration processing subsystem is used for:
Described Data Integration processing subsystem customer database, CRM database and enterprise's metadata from internal database
Storehouse；And forum information data base from the external data base being connected with described Data Integration subsystem, trend information data
In storehouse, daily behavior information database and social networks information database, it is thus achieved that the customer data relevant to client and with product
The product data that condition closes.
10. system as claimed in claim 6, it is characterised in that described Data Integration processing subsystem is used for:
Obtain the client basic attribute data relevant to client, customer consuming behavior data, client to the evaluating data of product and
Client's internet relation data；
Obtain the product data relevant to product, including: buy product attribute information, buy product price information and purpose purchase
Product information.
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| CN107679896A (en) * | 2017-09-22 | 2018-02-09 | 北京京东尚科信息技术有限公司 | Appraisal procedure and assessment system based on sequential section model |
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