CN104504041A - Dada analysis system, method and device - Google Patents
Dada analysis system, method and device Download PDFInfo
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- CN104504041A CN104504041A CN201410779259.0A CN201410779259A CN104504041A CN 104504041 A CN104504041 A CN 104504041A CN 201410779259 A CN201410779259 A CN 201410779259A CN 104504041 A CN104504041 A CN 104504041A
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Abstract
The invention provides a data analysis system, a data analysis method and a data analysis device. The data analysis system comprises a database system, a server and a plurality of pieces of electronic equipment; the database system comprises a user database, an information consultant provider database and an environmental factor database; the server comprises a user data input and storage module, an information consultant provider data input and storage module, a user data analysis module, an information consultant provider data analysis module and a comprehensive analysis module; the electronic equipment is connected with the server by the internet. By the data analysis system, the data analysis method and the data analysis device, a user can review historical non-structural data, an analytical graph formed by structural data and the like so as to carry out self analysis and regulation; an information consultant provider can review the historical non-structural data, the analytical graph formed by the structural data and the like so as to carry out analysis and regulation of responding to user categorical distribution, user satisfaction and acceptance, assisting in a regulation result of the user and the like.
Description
Technical field
The invention relates to the information fusion matching technique in computer network, particularly about a kind of data analysis system, method and device.
Background technology
Information consulting service on internet is generally divided into two classes: a class is the knowledge base type of " contingency " or the consulting service (as: law, tourism, house property etc.) of isolatism event; Another kind of is the newborn information of " continuity " or the consulting service (as: card volume, futures, foreign exchange etc.) of continuation event.
For the information consulting service technology of " continuity ", in the prior art, the information content carries out editing, classifying and index through artificial or computing machine, is stored in database or the disk of server end.User, by the access to server, obtains the information content that it is paid close attention to.
On the basis of above-mentioned technology, set up " customer data base ", " member " management is realized to user.User relies on subjective demand, can subscribe to the information content of corresponding authority.User can carry out random consulting by social class instrument (as: micro-letter, QQ and Web Community etc.) with specific user group and exchange.
In the above-described techniques, although way of realization is various, all there is common problem: the understandability of each user, mathematical ability, visionary, perception velocities, inferential capability and experience etc., different, vary; It is also just not at all surprising that identical reference content produces different results for different users.Equally, each information consultation supplier is subject to the impact of the factors such as its knowledge background, industry experience, character trait, and the information consultation content that it provides also has the properest user group and the most uncomfortable user group.
How information consultation supplier is expressed by the subjectivity of user, objective data understands its advantage and weakness, the reference content that strong point played, evaded weak tendency behavior is helped for it provides? how user fully understands being good at of information consultation supplier, characteristic, select the information consultation supplier being applicable to it? this is that prior art has such problem to be solved.Also be approval, the key problem embodying information consultation value.
When deacclimatizing the user of population-wide by pervasive content, also just flood information consultation supplier core value; When user with oneself problem seek information consulting supplier help time, headache doctor pin, also just cannot receive information seek advice from value.
Summary of the invention
The invention provides a kind of data analysis system, method and device, to make user can review history non-structural data and the analysis diagram etc. that formed by structural data, carry out autoanalysis and adjustment; Make information consultation supplier can review history non-structural data and the analysis diagram etc. that formed by structural data, the distribution of response class of subscriber, user satisfaction and acceptance level, assisting users carries out that the effect adjusted etc. is analyzed, adjustment.
To achieve these goals, the embodiment of the present invention provides a kind of data analysis system, and described data analysis system comprises: Database Systems, server and multiple electronic equipment;
Described Database Systems comprise:
Customer data base, for storing non-structural data and the structured data of user;
Information consultation supplier database, for storing non-structural data and the structured data of information consultation supplier;
Environmental factor database, for the structured data of storage environment factor;
Described server includes:
The non-structural data of described user and structured data for inputting non-structural data and the structured data of described user, and are stored in described customer data base by user data input and memory module;
The input of information consultation supplier data and memory module, for inputting non-structural data and the structured data of described information consultation supplier, and the non-structural data of described information consultation supplier and structured data are stored in described information consultation supplier database;
Users'Data Analysis module, for the historical data by described this user of user data library call, and shows this user and described information consultation supplier in the mode of picture and text or analysis diagram respectively; For being accepted the historical data of the user group of its consulting by described user data library call, and show described information consultation supplier in the mode of picture and text or analysis diagram respectively;
Information consultation supplier data analysis module, for the historical data by described this information consultation of information consultation supplier data base call supplier, and shows this information consultation supplier in the mode of picture and text or analysis diagram; For the consulting behavioural information by described information consultation supplier data base call information consultation supplier colony, and show this user in the mode of picture and text or analysis diagram;
Comprehensive analysis module, for the structured data by environmental factor data base call environmental factor, and shows described user in the mode of picture and text or analysis diagram respectively; By the integrated information of information consultation supplier data base call information consultation supplier colony, by the integrated information of customer data base invoke user colony, and show described information consultation supplier and described user in the mode of picture and text or analysis diagram;
Described electronic equipment is connected with described server by internet.
To achieve these goals, the embodiment of the present invention also provides a kind of data analysing method, and described data analysing method comprises:
Receive user's non-structural data and structured data that user inputted by electronic equipment, and described user's non-structural data and structured data are stored in customer data base;
Receive the first data call request of described user, according to the historical data of described first data call request from user described in described user data library call, and from environmental factor database the structured data of transfer environment factor;
Show the structured data of described historical data and described environmental factor respectively to described user in the mode of picture and text or analysis diagram.
In one embodiment, described data analysing method also comprises:
Receive information consultation supplier non-structural time and the structured data of information consultation supplier input, and described information consultation supplier non-structural data and structured data are stored in information consultation supplier database;
Receive the second data call request of described information consultation supplier, according to described second data call request from the historical data of information consultation supplier described in described information consultation supplier data base call and the historical data accepting the user that described information consultation supplier seeks advice from;
The historical data of described information consultation supplier and the historical data of described user is shown to described information consultation supplier in the mode of picture and text or analysis diagram.
In one embodiment, described data analysing method also comprises:
Receive the 3rd data call request of described information consultation supplier, accept the historical data of the user group of this information consultation supplier consulting according to described 3rd data call request from described user data library call;
Show the historical data of described user group to described this information consultation supplier in the mode of picture and text or analysis diagram.
In one embodiment, described data analysing method also comprises:
Receive the 4th data call request of described user, according to the consulting behavioural information of described 4th data call request from described information consultation supplier data base call information consultation supplier colony;
Show the consulting behavioural information of described information consultation supplier colony to described user in the mode of picture and text or analysis diagram.
In one embodiment, described data analysing method also comprises:
Receive the 5th data call request of described user and described information consultation supplier, according to the integrated information of described 5th data call request from described information consultation supplier data base call information consultation supplier colony, and from the integrated information of described customer data base invoke user colony;
The described integrated information of information consultation supplier colony and the integrated information of described user group is shown to described user and described information consultation supplier in the mode of picture and text or analysis diagram.
To achieve these goals, the embodiment of the present invention also provides a kind of data analysis set-up, and described data analysis set-up comprises:
Described user's non-structural data and structured data for receiving the user's non-structural data and structured data that user inputted by electronic equipment, and are stored in customer data base by storage of subscriber data unit;
First data analysis unit, for receiving the first data call request of described user, according to the historical data of described first data call request from user described in described user data library call, and from environmental factor database the structured data of transfer environment factor;
First data display unit, for showing the structured data of described historical data and described environmental factor respectively to described user in the mode of picture and text or analysis diagram.
In one embodiment, described data analysis set-up also comprises:
Described information consultation supplier non-structural data and structured data for receiving information consultation supplier non-structural time and the structured data of information consultation supplier input, and are stored in information consultation supplier database by consultant's data storage cell;
Second data analysis unit, for receiving the second data call request of described information consultation supplier, according to described second data call request from the historical data of information consultation supplier described in described information consultation supplier data base call and the historical data accepting the user that described information consultation supplier seeks advice from;
Second data display unit, for showing the historical data of described information consultation supplier and the historical data of described user in the mode of picture and text or analysis diagram to described information consultation supplier.
In one embodiment, described data analysis set-up also comprises:
3rd data analysis unit, for receiving the 3rd data call request of described information consultation supplier, accepts the historical data of the user group of this information consultation supplier consulting from described user data library call according to described 3rd data call request;
3rd data display unit, for showing the historical data of described user group to described this information consultation supplier in the mode of picture and text or analysis diagram.
In one embodiment, described data analysis set-up also comprises:
4th data analysis unit, for receiving the 4th data call request of described user, according to the consulting behavioural information of described 4th data call request from described information consultation supplier data base call information consultation supplier colony;
4th data display unit, for showing the consulting behavioural information of described information consultation supplier colony to described user in the mode of picture and text or analysis diagram.
In one embodiment, described data analysis set-up also comprises:
5th data analysis unit, for receiving the 5th data call request of described user and described information consultation supplier, according to the integrated information of described 5th data call request from described information consultation supplier data base call information consultation supplier colony, and from the integrated information of described customer data base invoke user colony;
5th data display unit, for showing the described integrated information of information consultation supplier colony and the integrated information of described user group in the mode of picture and text or analysis diagram to described user and described information consultation supplier.
By the present invention, user can review history non-structural data and the analysis diagram etc. that formed by structural data, carries out autoanalysis and adjustment.Information consultation supplier can review history non-structural data and the analysis diagram etc. that formed by structural data, carries out the distribution of response class of subscriber, user satisfaction and acceptance level, the analysis of the Adjustment effect of assisting users etc., adjustment.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the structural representation of the data analysis system (system of each side's information fusion coupling) of the embodiment of the present invention;
Fig. 2 is the data analysing method process flow diagram one of the embodiment of the present invention;
Fig. 3 is the method schematic diagram one setting up user data and Users'Data Analysis in the embodiment of the present invention;
Fig. 4 is the method schematic diagram two setting up user data and Users'Data Analysis in the embodiment of the present invention;
Fig. 5 is the data analysing method flowchart 2 of the embodiment of the present invention;
Fig. 6 is the method schematic diagram one setting up information consultation supplier data and information consultation supplier data analysis in the embodiment of the present invention;
Fig. 7 is the data analysing method flow chart 3 of the embodiment of the present invention;
Fig. 8 is the method schematic diagram two setting up information consultation supplier data and information consultation supplier data analysis in the embodiment of the present invention;
Fig. 9 is the data analysing method process flow diagram four of the embodiment of the present invention;
Figure 10 is the method schematic diagram understanding information consultation supplier in the embodiment of the present invention;
Figure 11 is the data analysing method process flow diagram five of the embodiment of the present invention;
Figure 12 is the information consultation supplier of the embodiment of the present invention, user can cross the method schematic diagram that the present invention understands the group behavior of current environment factor;
Figure 13 is that the user's earning rate variation in the embodiment of the present invention contrasts schematic diagram with Hu-Shen 300 index tendency;
Figure 14 is that in the embodiment of the present invention, expected yield variation contrasts schematic diagram with the desirable earning rate of two-way strategy;
Figure 15 is the structured flowchart one of the data analysis set-up of the embodiment of the present invention;
Figure 16 is the structured flowchart two of the data analysis set-up of the embodiment of the present invention;
Figure 17 is the structured flowchart three of the data analysis set-up of the embodiment of the present invention;
Figure 18 is the structured flowchart four of the data analysis set-up of the embodiment of the present invention;
Figure 19 is the structured flowchart one of the data analysis set-up of the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
As shown in Figure 1, the embodiment of the present invention provides a kind of data analysis system, and this data analysis system comprises: Database Systems 16, server and multiple electronic equipment.Electronic equipment can comprise computing machine, the data set and cell phone etc. of user and information consultation supplier.User and information consultation supplier can utilize electronic equipment, are connected with server by internet, carry out information interaction.
Wherein, Database Systems 16 comprise: customer data base 17, information consultation supplier database 18 and environmental factor database 19.
Customer data base 17 can be used for the non-structural data and the structured data that store user; Information consultation supplier database 18 can be used for the non-structural data and the structured data that store information consultation supplier; Environmental factor database 19 can be used for the structured data of storage environment factor.
Server includes: user data input and memory module 12, the input of information consultation supplier data and memory module 13, Users'Data Analysis module 11, information consultation supplier data analysis module 14 and comprehensive analysis module 15.Wherein,
Inputted and memory module 12 by this user data, user can input non-structural data and the structured data of user, and the non-structural data of user and structured data is stored in described customer data base 17.
During concrete enforcement, the user data input that user can be called by the Internet access service device and memory module 12, insert its non-structural data and structured data, the non-structural data of user and structured data can be stored in customer data base 17 by user data input and memory module 12.
By the input of this information consultation supplier data and memory module 13, information consultation supplier can input its non-structural data and structured data, and the non-structural data of this information consultation supplier and structured data is stored in information consultation supplier database 18.
During concrete enforcement, the information consultation supplier data input that information consultation supplier can be called by the Internet access service device and memory module 13, insert its non-structural data and structured data.Information consultation supplier can to provide advice content to user or user group, the reference content that information consultation supplier provides to user or user group and user feedback data (comprising non-structural data and structured data) can import information consulting supplier data input and memory modules 13, and the non-structural data of information consultation supplier and structured data are stored in information consultation supplier database 18 by the input of information consultation supplier data and memory module 13.
Utilize this Users'Data Analysis module 11, in one embodiment, the historical data of this user can be called by customer data base 17, and show this user and described information consultation supplier in the mode of picture and text or analysis diagram respectively.
During concrete enforcement, the Users'Data Analysis module 11 that user is called by the Internet access service device, Users'Data Analysis module 11 transfers the historical data (structure of history and non-structural data) of this user by customer data base 17, and shows user in the mode of picture and text or analysis diagram.
Information consultation supplier is also by the Internet access service device invoke user data analysis module 11, Users'Data Analysis mould 21 is by the historical data of this user of user data library call, and in the mode of picture and text or analysis diagram, the historical data of this user is showed information consultation supplier, with the information and the advisory effectiveness that make information consultation supplier understand this user.
In another embodiment, the historical data of the user group of its consulting can be accepted by user data library call, and show this information consultation supplier in the mode of picture and text or analysis diagram respectively.
During concrete enforcement, information consultation supplier is also by the Internet access service device invoke user data analysis module 11, Users'Data Analysis mould 21 accepts the historical data of the user group of this information consultation supplier consulting by user data library call, and the historical data of the user group accepting this information consultation supplier consulting is showed information consultation supplier, with the integrated information making information consultation supplier understand the user group accepting its consulting in the mode of picture and text or analysis diagram.
Utilize this information consultation supplier data analysis module 14, in one embodiment, by the historical data of described this information consultation of information consultation supplier data base call supplier, and this information consultation supplier can be showed in the mode of picture and text or analysis diagram.
During concrete enforcement, the information consultation supplier data analysis module 14 that information consultation supplier is called by the Internet access service device, information consultation supplier data analysis mould, 14 transfer the historical data of this information consultation supplier by information consultation supplier database 18, and show information consultation supplier in the mode of picture and text or analysis diagram.
In another embodiment, by the consulting behavioural information of described information consultation supplier data base call information consultation supplier colony, and this user can be showed in the mode of picture and text or analysis diagram.
Utilize this comprehensive analysis module 15, in one embodiment, by the structured data of environmental factor data base call environmental factor, and described user can be showed in the mode of picture and text or analysis diagram respectively.
During concrete enforcement, the Users'Data Analysis module 11 that user also calls by the Internet access service device and comprehensive analysis module 15, Users'Data Analysis module 11 transfers the historical data of this user by customer data base, comprehensive analysis module 15 transfers the structured data of environmental factor by environmental factor database, and shows user in the mode of picture and text or analysis diagram respectively.
In another embodiment, utilize this comprehensive analysis module 15, can by the integrated information of information consultation supplier database 18 recalls information consulting supplier colony, by the integrated information of customer data base 17 invoke user colony, and show described information consultation supplier and described user in the mode of picture and text or analysis diagram.
During concrete enforcement, information consultation supplier, the comprehensive analysis module 15 that user is called by the Internet access service device, comprehensive analysis module 15 is by the integrated information of information consultation supplier database 18 recalls information consulting supplier colony, by the integrated information of customer data base 17 invoke user colony, and show information consultation supplier and user in the mode of picture and text or analysis diagram, the integrated information of information consultation supplier colony and the integrated information of user group can be understood to make user, the supplier of information consultation simultaneously also can understand the integrated information of information consultation supplier colony and the integrated information of user group.
As shown in Figure 2, embodiments provide a kind of data analysing method, described data analysing method comprises:
S201: receive user's non-structural data and structured data that user inputted by electronic equipment, and described user's non-structural data and structured data are stored in customer data base;
S202: the first data call request receiving described user, according to the historical data of described first data call request from user described in described user data library call, and from environmental factor database the structured data of transfer environment factor;
S203: the structured data showing described historical data and described environmental factor respectively in the mode of picture and text or analysis diagram to described user.
Flow process is as shown in Figure 2 known, and the present invention is stored in customer data base, as historical data by the non-structural data that user inputted and structured data.According to the request of user, can historical data in invoke user database show user, be convenient to user and carry out analyzing and adjusting.
During concrete enforcement, as shown in Figure 3, user data input and memory module 12 provide window A for user 22, and user can input non-structural data and structured data.Such as input the non-structural data planned in advance, look back as: subfield arranges early stage, examine, do disc gage and draw and brief summary etc.; And structured data, as: operation kind, early stage hold position, when daily earning rate, only a win point position, stop loss limit position, policing option (strong many, on the high side, neutral, partially empty, empty by force) etc.User 22 with the form common input non-structural data of daily record, reading notes and structured data, inputted by user data and memory module 12 by storage of subscriber data in customer data base 17 (S201).
User 22 asks the historical data of this user 22 to customer data base 23 by Users'Data Analysis module 11, transferred the historical data (S202) of this user 22 by customer data base 17 through Users'Data Analysis module 11, and in the mode of picture and text or analysis diagram, the historical data of this user 22 being showed user, the historical data analysis chart of this user 22 is as the label 25 (S203) in figure.
Further, as shown in Figure 4, the market environment data such as preserve various index in environmental factor database 19, the main force holds position.Complete the above-mentioned historical data transferring this user 22, and while in the mode of picture and text or analysis diagram the historical data of this user 22 being showed the process of user, the data such as user 34 asks corresponding index by comprehensive analysis module 15 to environmental factor database 19, hold position, after the Data Analysis Services function treatment of comprehensive analysis module 15, the historical data analysis chart obtaining environmental factor data drawing list and this user 34 merges 33 and shows this user 34.
By said process, user can carry out daily autoanalysis, diagnosis, and the ambient condition of adapt circumstance state and discomfort judged by contrast_environment factor data chart.Data foundation is provided for carrying out oneself's adjustment further.
In one embodiment, as shown in Figure 5, described data analysing method also comprises:
S501: the information consultation supplier non-structural time and the structured data that receive information consultation supplier input, and described information consultation supplier non-structural data and structured data are stored in information consultation supplier database;
S502: the second data call request receiving described information consultation supplier, according to described second data call request from the historical data of information consultation supplier described in described information consultation supplier data base call and the historical data accepting the user that described information consultation supplier seeks advice from;
S503: show the historical data of described information consultation supplier and the historical data of described user to described information consultation supplier in the mode of picture and text or analysis diagram.
Flow process is as shown in Figure 5 known, and the present invention is stored in customer data base, as historical data by the non-structural data of self that information consultation supplier inputted and structured data.Information consultation supplier can review history non-structural data and the analysis diagram etc. that formed by structural data, carries out the distribution of response class of subscriber, user satisfaction and acceptance level, the analysis of the Adjustment effect of assisting users etc., adjustment.
During concrete enforcement, as shown in Figure 6, the input of information consultation supplier data and memory module 13 provide window B for information consultation supplier 41, input non-structural data and the structured data of information consultation supplier.Input the non-structural data planned in advance, as: subfield arranges fundamental analysis, does dish suggestion, strategy instruction etc.; And structured data, as: suggestion kind, suggestion position in storehouse, expected yield, stop loss limit position, only win a some position, the same day policing option etc.Information consultation supplier 41 with the form common input of daily record, reading notes himself non-structural data and structured data, by information consultation supplier data input and memory module 13 information consultation supplier data are stored in information consultation supplier database 18 (S501).
Information consultation supplier 41 is directed into the input of information consultation supplier data and memory module 13 to the reference content 46 that user or user group 45 provide, and by the input of information consultation supplier data and memory module 13, reference content information and respective user or user group's information is stored in information consultation supplier database 19 (S501).
Information consultation supplier 41 is by the historical data of information consultation supplier data analysis module 14 to information consultation supplier database 18 solicited message consulting supplier 41, transferred the historical data (S502) of this information consultation supplier 41 by information consultation supplier database 18 through information consultation supplier data analysis module 14, and after showing the Data Analysis Services function treatment process of information consultation supplier 41 in the mode of picture and text or analysis diagram, the historical data analysis chart 47 obtaining this information consultation supplier 41 shows this information consultation supplier 41 (S503).
By the said process of Fig. 6, information consultation supplier can carry out daily autoanalysis, resolve counseling content, and adjustment deviation, provides data foundation for providing appropriate, meticulous consulting service further.
In one embodiment, as shown in Figure 7, described data analysing method also comprises:
S701: the 3rd data call request receiving described information consultation supplier, accepts the historical data of the user group of this information consultation supplier consulting from described user data library call according to described 3rd data call request;
S702: the historical data of showing described user group in the mode of picture and text or analysis diagram to described this information consultation supplier.
During concrete enforcement, as shown in Figure 8, information consultation supplier 53 after the process of the historical data of this user of customer data base 17 request call, obtains the historical data (S701) of its counsel user by Users'Data Analysis module 11; After Users'Data Analysis module 11 shows the Data Analysis Services process of information consultation supplier in the mode of picture and text or analysis diagram, the historical data analysis chart 54 obtaining counsel user shows this information consultation supplier 53 (S702).
Information consultation supplier can diagnose advantage and the weakness of its user further by this process, and its environmental factor adapted to.Assess the effect of its consulting service, for providing differentiation, personalized consulting service provide Data support.
Information consultation supplier 53 accepts the historical data process of the user group of its consulting to customer data base 17 request call through Users'Data Analysis module 11 after, obtain the historical data of the user group accepting its consulting, through Users'Data Analysis module 11 with after the Data Analysis Services process of the historical data of the mode showing user group body of picture and text or analysis diagram, the comprehensive data analysis chart 55 obtaining its counsel user colony shows this information consultation supplier 53.
Information consultation supplier can analyze the feature of its user group further by this process, and the specific user colony that its advantage adapts to most.
By said process, information consultation supplier can carry out daily autoanalysis, resolve the suitability of consulting service and user, provides data foundation for providing consulting service that are appropriate, appropriate user further.
In one embodiment, as shown in Figure 9, described data analysing method also comprises:
S901: the 4th data call request receiving described user, according to the consulting behavioural information of described 4th data call request from described information consultation supplier data base call information consultation supplier colony;
S902: the consulting behavioural information of showing described information consultation supplier colony in the mode of picture and text or analysis diagram to described user.
When data analysing method shown in Fig. 9 is specifically implemented, as shown in Figure 10, user 63, by the consulting behavioural information (S901) of information consultation supplier data analysis module 14 to information consultation supplier database 18 solicited message consulting supplier colony, obtains the integrated data of information consultation supplier colony; After information consultation supplier data analysis module 14 to show described information consultation supplier colony to described user consulting behavioural information in the mode of picture and text or analysis diagram, the comprehensive data analysis chart 63 obtaining information consultation supplier shows user 63 (S902).
Pass through said process, what user understood information consultation supplier by comprehensive data is good at classification, user satisfaction and acceptance level, the Adjustment effect of assisted user and environmental factor the most freely, environmental factor etc. the most uncomfortable, select the combination of information consultation supplier or information consultation supplier, obtain effective consulting service.
As shown in figure 11, in one embodiment, described data analysing method also comprises:
S1101: the 5th data call request receiving described user and described information consultation supplier, according to the integrated information of described 5th data call request from described information consultation supplier data base call information consultation supplier colony, and from the integrated information of described customer data base invoke user colony;
S1102: show the described integrated information of information consultation supplier colony and the integrated information of described user group to described user and described information consultation supplier in the mode of picture and text or analysis diagram.
When data analysing method shown in Figure 11 is specifically implemented, as shown in figure 12, user or information consultation supplier 74 by comprehensive analysis module 15 to information consultation supplier database 18, the customer data base 17 solicited message consulting integrated information of supplier colony and the integrated information (S1101) of user group, through comprehensive analysis module 15 in the mode of picture and text or analysis diagram after user and the information consultation supplier exhibition information consulting integrated information of supplier colony and the integrated information of user group, obtain information consultation supplier and the common comprehensive data analysis chart 75 of user shows user or information consultation supplier 74 (S1102).
By the process shown in Figure 12, different information consultation supplier colonies can be understood, different user groups tackles group behavior under Vehicles Collected from Market environment, for provide advice suggestion, user of information consultation supplier tackles the group behavior data target that Vehicles Collected from Market environment provides basis.
Data analysis system of the present invention, method can be applied to multiple fields, the multiple fields such as such as futures, security, health consultation, are followingly described the concrete performance of the present invention for stock price index futures, but are not limited to stock price index futures.
Example 1
As shown in Figure 3, user is in log system common input data of " working as daily earning rate ".As shown in Figure 4, obtain user's historical data analysis chart 33 by Users'Data Analysis module 11, its content as shown in figure 13.By the user's earning rate in Figure 13 being changed the Hu-Shen 300 index trend graph in chart comparison diagram 8, user can judge feature own: bull market earning rate is out of condition; Bearish market and to check and regulate market earning rate all right.
As shown in Figure 10, this user, by information consultation supplier data analysis module 14, obtains many information consultation supplier integrated information charts 63, understands the market environment that they are good at, and selects the information consultation supplier being good at bear market.
This information consultation supplier, by process shown in Fig. 8, obtains this user's historical data analysis chart 54, understands the These characteristics of this user.By the process shown in Fig. 6, in Hu-Shen 300 index up-trend process, provide this user and seek advice from suggestion 46: shut-down operation or the operation of light storehouse; In Hu-Shen 300 index downward tendency process, provide this user and seek advice from suggestion 46: the operation of heavy storehouse.
Example 2
As shown in Figure 6, information consultation supplier is in log system common input " expected yield " data, and the daily reference content to user also imports to information consultation supplier database 18.Obtain information consultation supplier historical data analysis chart 47 by information consultation supplier data analysis module 14, its content as shown in figure 14.By the expected yield variation in Figure 14 being contrasted the desirable earning rate of two-way strategy in Figure 14, information consultation supplier can judge feature own: bull market expection suggestion is respond well; Bearish market and check and regulate market expection suggestion effect general.
Known according to the abovementioned embodiments of the present invention:
By the present invention, can set up user data and analyze user data, user daily record, the mode such as reading notes or other form subjective descriptions its plan, review, self-criticism, brief summary can charge to its non-structural data.To fill in a form, the form such as selection charges to the structural data of its behavior expression etc.Apply data analysing method provided by the invention, user can review history non-structural data and the analysis diagram etc. that formed by structural data, carries out autoanalysis, self-criticism, adjustment.
By the present invention, information consultation supplier data can be set up and to information consultation supplier data analysis, information consultation supplier charges to its non-structural data with comment, comment, individual advisory opinion etc.To fill in a form, the form such as selection charges to its behavior recommendation, user evaluates etc. structural data.Apply method provided by the invention, information consultation supplier can review history non-structural data and the analysis diagram etc. that formed by structural data, can carry out responding class of subscriber distribution, user satisfaction and acceptance level, the analysis of effect etc. of assisting users adjustment, adjustment.
By data analysing method provided by the invention, that can understand information consultation supplier is good at classification, user satisfaction and acceptance level, the Adjustment effect of assisted user and environmental factor the most freely, environmental factor etc. the most uncomfortable, select the combination of information consultation supplier or information consultation supplier, obtain effective consulting service.
By data analysing method provided by the invention, that can understand user is good at classification, understandability, mathematical ability, visionary, perception velocities, inferential capability and environmental factor the most freely, environmental factor etc. the most uncomfortable, for specific user or specific user colony, provide effectively consulting service more targetedly.
By data analysing method provided by the invention, different information consultation supplier colonies can be understood, group behavior that different user groups tackles current environment factor, for provide advice suggestion, user of information consultation supplier tackles the group behavior data target that current environment factor provides basis.
As shown in figure 15, the embodiment of the present invention also provides a kind of data analysis set-up, and described data analysis set-up comprises: storage of subscriber data unit 1501, first data analysis unit 1502 and the first data display unit 1503.
Described user's non-structural data and structured data for user's non-structural data of receiving user and being inputted by electronic equipment and structured data, and are stored in customer data base by storage of subscriber data unit 1501.
First data analysis unit 1502 is for receiving the first data call request of described user, according to the historical data of described first data call request from user described in described user data library call, and from environmental factor database the structured data of transfer environment factor;
First data display unit 1503 is for showing the structured data of described historical data and described environmental factor respectively to described user in the mode of picture and text or analysis diagram.
In one embodiment, as shown in figure 16, described data analysis set-up also comprises: consultant's data storage cell 1601, second data analysis unit 1602 and the second data display unit 1603.
Described information consultation supplier non-structural data and structured data for receiving information consultation supplier non-structural time and the structured data of information consultation supplier input, and are stored in information consultation supplier database by consultant's data storage cell 1601;
Second data analysis unit 1602 for receiving the second data call request of described information consultation supplier, according to described second data call request from the historical data of information consultation supplier described in described information consultation supplier data base call and the historical data of user accepting described information consultation supplier consulting;
Second data display unit 1603 is for showing the historical data of described information consultation supplier and the historical data of described user in the mode of picture and text or analysis diagram to described information consultation supplier.
In one embodiment, as shown in figure 17, described data analysis set-up also comprises: the 3rd data analysis unit 1701 and the 3rd data display unit 1702.
3rd data analysis unit 1701, for receiving the 3rd data call request of described information consultation supplier, accepts the historical data of the user group of this information consultation supplier consulting from described user data library call according to described 3rd data call request;
3rd data display unit 1702 is for showing the historical data of described user group to described this information consultation supplier in the mode of picture and text or analysis diagram.
In one embodiment, as shown in figure 18, described data analysis set-up also comprises: the 4th data analysis unit 1801 and the 4th data display unit 1802.
4th data analysis unit 1801 for receiving the 4th data call request of described user, according to the consulting behavioural information of described 4th data call request from described information consultation supplier data base call information consultation supplier colony;
4th data display unit 1802 is for showing the consulting behavioural information of described information consultation supplier colony to described user in the mode of picture and text or analysis diagram.
In one embodiment, as shown in figure 19, described data analysis set-up also comprises: the 5th data analysis unit 1090 and the 5th data display unit 1902.
5th data analysis unit, for receiving the 5th data call request of described user and described information consultation supplier, according to the integrated information of described 5th data call request from described information consultation supplier data base call information consultation supplier colony, and from the integrated information of described customer data base invoke user colony;
5th data display unit, for showing the described integrated information of information consultation supplier colony and the integrated information of described user group in the mode of picture and text or analysis diagram to described user and described information consultation supplier.
By the data analysis set-up of the embodiment of the present invention, user data can be set up and user data is analyzed, information consultation supplier data can be set up and to information consultation supplier data analysis, concrete implementation process refers to as shown in Fig. 2-Figure 14, repeats no more.
By the present invention, user can review history non-structural data and the analysis diagram etc. that formed by structural data, carries out autoanalysis and adjustment.Information consultation supplier can review history non-structural data and the analysis diagram etc. that formed by structural data, carries out the distribution of response class of subscriber, user satisfaction and acceptance level, the analysis of the Adjustment effect of assisting users etc., adjustment.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the process flow diagram of the method for the embodiment of the present invention, equipment (system) and computer program and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or square frame.These computer program instructions can being provided to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computing machine or other programmable data processing device produce device for realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be loaded in computing machine or other programmable data processing device, make on computing machine or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computing machine or other programmable devices is provided for the step realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
Apply specific embodiment in the present invention to set forth principle of the present invention and embodiment, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (11)
1. a data analysis system, is characterized in that, described data analysis system comprises: Database Systems, server and multiple electronic equipment;
Described Database Systems comprise:
Customer data base, for storing non-structural data and the structured data of user;
Information consultation supplier database, for storing non-structural data and the structured data of information consultation supplier;
Environmental factor database, for the structured data of storage environment factor;
Described server includes:
The non-structural data of described user and structured data for inputting non-structural data and the structured data of described user, and are stored in described customer data base by user data input and memory module;
The non-structural data of described information consultation supplier and structured data for inputting non-structural data and the structured data of information consultation supplier, and are stored in described information consultation supplier database by the input of information consultation supplier data and memory module;
Users'Data Analysis module, for the historical data by described this user of user data library call, and shows this user and described information consultation supplier in the mode of picture and text or analysis diagram respectively; For being accepted the historical data of the user group of its consulting by described user data library call, and show described information consultation supplier in the mode of picture and text or analysis diagram respectively;
Information consultation supplier data analysis module, for the historical data by described this information consultation of information consultation supplier data base call supplier, and shows this information consultation supplier in the mode of picture and text or analysis diagram; For the consulting behavioural information by described information consultation supplier data base call information consultation supplier colony, and show this user in the mode of picture and text or analysis diagram;
Comprehensive analysis module, for the structured data by environmental factor data base call environmental factor, and shows described user in the mode of picture and text or analysis diagram respectively; By the integrated information of information consultation supplier data base call information consultation supplier colony, by the integrated information of customer data base invoke user colony, and show described information consultation supplier and described user in the mode of picture and text or analysis diagram;
Described electronic equipment is connected with described server by internet.
2. a data analysing method, is characterized in that, described data analysing method comprises:
Receive user's non-structural data and structured data that user inputted by electronic equipment, and described user's non-structural data and structured data are stored in customer data base;
Receive the first data call request of described user, according to the historical data of described first data call request from user described in described user data library call, and from environmental factor database the structured data of transfer environment factor;
Show the structured data of described historical data and described environmental factor respectively to described user in the mode of picture and text or analysis diagram.
3. data analysing method according to claim 2, is characterized in that, described data analysing method also comprises:
Receive information consultation supplier non-structural time and the structured data of information consultation supplier input, and described information consultation supplier non-structural data and structured data are stored in information consultation supplier database;
Receive the second data call request of described information consultation supplier, according to described second data call request from the historical data of information consultation supplier described in described information consultation supplier data base call and the historical data accepting the user that described information consultation supplier seeks advice from;
The historical data of described information consultation supplier and the historical data of described user is shown to described information consultation supplier in the mode of picture and text or analysis diagram.
4. data analysing method according to claim 3, is characterized in that, described data analysing method also comprises:
Receive the 3rd data call request of described information consultation supplier, accept the historical data of the user group of this information consultation supplier consulting according to described 3rd data call request from described user data library call;
Show the historical data of described user group to described this information consultation supplier in the mode of picture and text or analysis diagram.
5. data analysing method according to claim 3, is characterized in that, described data analysing method also comprises:
Receive the 4th data call request of described user, according to the consulting behavioural information of described 4th data call request from described information consultation supplier data base call information consultation supplier colony;
Show the consulting behavioural information of described information consultation supplier colony to described user in the mode of picture and text or analysis diagram.
6. data analysing method according to claim 3, is characterized in that, described data analysing method also comprises:
Receive the 5th data call request of described user and described information consultation supplier, according to the integrated information of described 5th data call request from described information consultation supplier data base call information consultation supplier colony, and from the integrated information of described customer data base invoke user colony;
The described integrated information of information consultation supplier colony and the integrated information of described user group is shown to described user and described information consultation supplier in the mode of picture and text or analysis diagram.
7. a data analysis set-up, is characterized in that, described data analysis set-up comprises:
Described user's non-structural data and structured data for receiving the user's non-structural data and structured data that user inputted by electronic equipment, and are stored in customer data base by storage of subscriber data unit;
First data analysis unit, for receiving the first data call request of described user, according to the historical data of described first data call request from user described in described user data library call, and from environmental factor database the structured data of transfer environment factor;
First data display unit, for showing the structured data of described historical data and described environmental factor respectively to described user in the mode of picture and text or analysis diagram.
8. data analysis set-up according to claim 7, is characterized in that, described data analysis set-up also comprises:
Described information consultation supplier non-structural data and structured data for receiving information consultation supplier non-structural time and the structured data of information consultation supplier input, and are stored in information consultation supplier database by consultant's data storage cell;
Second data analysis unit, for receiving the second data call request of described information consultation supplier, according to described second data call request from the historical data of information consultation supplier described in described information consultation supplier data base call and the historical data accepting the user that described information consultation supplier seeks advice from;
Second data display unit, for showing the historical data of described information consultation supplier and the historical data of described user in the mode of picture and text or analysis diagram to described information consultation supplier.
9. data analysis set-up according to claim 8, is characterized in that, described data analysis set-up also comprises:
3rd data analysis unit, for receiving the 3rd data call request of described information consultation supplier, accepts the historical data of the user group of this information consultation supplier consulting from described user data library call according to described 3rd data call request;
3rd data display unit, for showing the historical data of described user group to described this information consultation supplier in the mode of picture and text or analysis diagram.
10. data analysis set-up according to claim 9, is characterized in that, described data analysis set-up also comprises:
4th data analysis unit, for receiving the 4th data call request of described user, according to the consulting behavioural information of described 4th data call request from described information consultation supplier data base call information consultation supplier colony;
4th data display unit, for showing the consulting behavioural information of described information consultation supplier colony to described user in the mode of picture and text or analysis diagram.
11. data analysis set-ups according to claim 10, is characterized in that, described data analysis set-up also comprises:
5th data analysis unit, for receiving the 5th data call request of described user and described information consultation supplier, according to the integrated information of described 5th data call request from described information consultation supplier data base call information consultation supplier colony, and from the integrated information of described customer data base invoke user colony;
5th data display unit, for showing the described integrated information of information consultation supplier colony and the integrated information of described user group in the mode of picture and text or analysis diagram to described user and described information consultation supplier.
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