CN107358031A - A kind of client health degree determines method and apparatus - Google Patents
A kind of client health degree determines method and apparatus Download PDFInfo
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- CN107358031A CN107358031A CN201710465982.5A CN201710465982A CN107358031A CN 107358031 A CN107358031 A CN 107358031A CN 201710465982 A CN201710465982 A CN 201710465982A CN 107358031 A CN107358031 A CN 107358031A
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- data
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- health degree
- abnormal data
- associated data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
Abstract
The invention discloses a kind of client health degree to determine method and apparatus, belongs to field of computer technology, methods described includes：Obtain the abnormal data in customer data；According to the abnormal data, the associated data of the abnormal data is obtained；According to the associated data, client health degree is determined, the client health degree is used for the health status for indicating customer data, and the embodiment of the present invention can improve the efficiency of client health degree analysis and improve the problem of client health degree analyzes specific aim difference.
Description
Technical field
The present invention relates to field of computer technology, more particularly to a kind of client health degree determines method and apparatus.
Background technology
Collect the various related datas of client, and based on customer data client is managed be widely used in it is various with
It is especially most important in logistics management industry in the related industry of client, by analyzing client health degree situation, and it is client
Targetedly solution is provided, customer service quality is improved with this, it is particularly important.
In the prior art, due to containing a large amount of normal numbers in the customer data that is based on during client health degree status analysis
According to, meanwhile, customer data is scattered be stored in different business systems, it is necessary to manpower consumption plenty of time and energy go to browse it is not of the same trade or business
The mass data of business system, thereby increase client health degree analysis workload, exist client health degree analysis efficiency it is low and
The problem of specific aim difference.
The content of the invention
In order to solve problem of the prior art, the embodiments of the invention provide a kind of client health degree to determine method and dress
Put, to improve the efficiency of client health degree analysis and improve the problem of client health degree analyzes specific aim difference.The technical side
Case is as follows：
First aspect, there is provided a kind of client health degree determines method, and methods described includes：
Obtain the abnormal data in customer data；
According to the abnormal data, the associated data of the abnormal data is obtained；
According to the associated data, client health degree is determined, the client health degree is used to indicate the customer data
Health status.
It is described according to the abnormal data with reference in a first aspect, in the first possible implementation, obtain described different
The associated data of regular data includes：
According to the generation time of the abnormal data, it is determined that the data in the preset time period comprising the generation time are
The associated data of the abnormal data.
It is described according to the abnormal data with reference in a first aspect, in second of possible implementation, obtain described different
The associated data of regular data includes：
According to the generating region of the abnormal data, it is determined that the data in the predeterminable area comprising the generating region are institute
State the associated data of abnormal data.
It is described according to the abnormal data with reference in a first aspect, in the third possible implementation, obtain described different
The associated data of regular data includes：
According to the data source of the abnormal data, the abnormal data is obtained from the associated data source of the data source
Associated data.
It is possible at the 4th kind with reference to the possible implementation of the third any one of first aspect to first aspect
It is described according to the associated data in implementation, determine that client health degree includes：
The dimension values of multiple default dimensions of the associated data are obtained, the default dimension includes client's income, timeliness
Property and/or logistics service；
According to the dimension values of the multiple default dimension, the client health degree is determined.
With reference to the 4th kind of possible implementation of first aspect, in the 5th kind of possible implementation, methods described
Also include：
When existing in the multiple default dimension beyond the default dimension of default secure threshold scope, generation alarm letter
Breath；
Shown according to the trigger action of user to carrying out chart beyond the default dimension of default secure threshold scope.
Second aspect, there is provided a kind of client health degree determining device, described device include：
First acquisition module, for obtaining the abnormal data in customer data；
Second acquisition module, for according to the abnormal data, obtaining the associated data of the abnormal data；
Determining module, for according to the associated data, determining client health degree, the client health degree is used to indicate institute
State the health status of customer data.
With reference to second aspect, in the first possible implementation, second acquisition module is specifically used for：
According to the generation time of the abnormal data, it is determined that the data in the preset time period comprising the generation time are
The associated data of the abnormal data.
With reference to second aspect, in second of possible implementation, second acquisition module is specifically used for：
According to the generating region of the abnormal data, it is determined that the data in the predeterminable area comprising the generating region are institute
State the associated data of abnormal data.
With reference to second aspect, in the third possible implementation, second acquisition module is specifically used for：
According to the data source of the abnormal data, the abnormal data is obtained from the associated data source of the data source
Associated data.
It is possible at the 4th kind with reference to the possible implementation of the third any one of second aspect to second aspect
In implementation, the determining module includes：
Acquisition submodule, the dimension values of multiple default dimensions for obtaining the associated data, the default dimension bag
Include client's income, ageing and/or logistics service；
Determination sub-module, for the dimension values according to the multiple default dimension, determine the client health degree.
With reference to the 4th kind of possible implementation of second aspect, in the 5th kind of possible implementation, described device
Also include：
Generation module, for when the default dimension beyond default secure threshold scope in the multiple default dimension being present
When, generate warning information；
Display module, the default dimension beyond default secure threshold scope is entered for the trigger action according to user
Row chart is shown.
The embodiments of the invention provide a kind of client health degree to determine method and apparatus, different in customer data by obtaining
Regular data, and according to abnormal data, obtains the associated data of abnormal data, and according to associated data, determines client health degree,
Client health degree is used for the health status for indicating customer data, and compared with prior art, the present invention is due to big without manpower consumption
Amount time and energy go to browse the mass data of different business systems, can obtain the associated data of abnormal data, thus reduce
The workload of data processing, improve the efficiency of data processing；Further, since according to associated data, client health degree is determined,
The problem of hence improving client health degree analysis specific aim difference.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, make required in being described below to embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for
For those of ordinary skill in the art, on the premise of not paying creative work, other can also be obtained according to these accompanying drawings
Accompanying drawing.
Fig. 1 is that client health degree provided in an embodiment of the present invention determines method flow diagram；
Fig. 2 is that client health degree provided in an embodiment of the present invention determines method flow diagram；
Fig. 3 is client health degree determining device structural representation provided in an embodiment of the present invention.
Embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached in the embodiment of the present invention
Figure, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only this
Invention part of the embodiment, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art exist
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Embodiment one
The embodiments of the invention provide a kind of client health degree to determine method, and shown in reference picture 1, methods described includes：
101st, the abnormal data in customer data is obtained.
102nd, according to the abnormal data, the associated data of the abnormal data is obtained.
Specifically, the process can include：
According to the generation time of the abnormal data, it is determined that the data in the preset time period comprising the generation time are
The associated data of the abnormal data.
Specifically, the process can also include：
According to the generating region of the abnormal data, it is determined that the data in the predeterminable area comprising the generating region are institute
State the associated data of abnormal data.
Specifically, the process can also include：
According to the data source of the abnormal data, the abnormal data is obtained from the associated data source of the data source
Associated data.
103rd, according to the associated data, client health degree is determined, the client health degree is used to indicate client's number
According to health status.
Specifically, the process can include：
The dimension values of multiple default dimensions of the associated data are obtained, the default dimension includes client's income, timeliness
Property and/or logistics service；
According to the dimension values of the multiple default dimension, the client health degree is determined.
Optionally, after step 103, methods described also includes：
When existing in the multiple default dimension beyond the default dimension of default secure threshold scope, generation alarm letter
Breath；
Shown according to the trigger action of user to carrying out chart beyond the default dimension of default secure threshold scope.
The embodiments of the invention provide a kind of client health degree to determine method, by obtaining the abnormal number in customer data
According to, and according to abnormal data, the associated data of abnormal data is obtained, and according to associated data, determine client health degree, client
Health degree is used to indicate the health status of customer data, compared with prior art, the present invention due to without manpower consumption it is a large amount of when
Between and energy go to browse the mass data of different business systems, the associated data of abnormal data can be obtained, thus reduce number
According to the workload of processing, the efficiency of data processing is improved；Further, since according to associated data, client health degree is determined, thus
The problem of improving client health degree analysis specific aim difference.
Embodiment two
The embodiments of the invention provide a kind of client health degree to determine method, and shown in reference picture 2, this method includes：
201st, the abnormal data in customer data is obtained.
Wherein, the customer data can include order data, can also include logistics data or Storage of Goods data or its
His data related to client, abnormal data can be the data that changing value in customer data is more than predetermined threshold, can also
It is the data that variation tendency exceedes predetermined trend scope.
Specifically, the present invention is not especially limited to the acquisition process of abnormal data.
202nd, according to the generation time of the abnormal data, it is determined that the number in the preset time period comprising the generation time
According to the associated data for the abnormal data.
Wherein, preset time period is to be needed according to specific to be configured, such as, when preset time period is arranged to produce
Between the previous day to generation time one day after between period or generation time the last week to current time it
Between period, the present invention specific preset time period is not limited.
Specifically, the process can include：
The generation time identification field of abnormal data is extracted from abnormal data；
The generation time of abnormal data is determined according to generation time field；
The data in the preset time period comprising the generation time are obtained in the data source where abnormal data.
203rd, according to the generating region of the abnormal data, it is determined that the data in the predeterminable area comprising the generating region
For the associated data of the abnormal data.
Specifically, the present invention is not especially limited to specific determination process.
The generating region identification field of abnormal data is extracted from abnormal data, abnormal number is determined according to generating region field
According to generating region, wherein, generating region includes positional information；
The data in the predeterminable area comprising the generating region are obtained in the data source where abnormal data.
204th, according to the data source of the abnormal data, the abnormal number is obtained from the associated data source of the data source
According to associated data.
Specifically, the process can include：
Determine the associated data source of the data source；
According to the data format of the data source, the form transformation rule with the pattern matched is obtained；
According to the form transformation rule, data format is carried out to the associated data in the associated data source and turned
Change, and call the associated data after data conversion.
It should be noted that step 202 to step 204 is coordination, in actual applications, can be by step 202
At least one realization into step 204 obtains the process of the associated data of the abnormal data, removed according to the abnormal data
Outside the mode of above-mentioned steps, the process can also be realized by other means, the embodiment of the present invention to specific mode not
It is limited.
205th, the dimension values of multiple default dimensions of the associated data are obtained, the multiple default dimension is received including client
Enter, ageing and logistics service.
Wherein, the index of client's income includes preset time period income, same period income, current income and income contrast early stage
It is at least one；
Ageing index is including at least one in set out rate, non-encashment ratio on schedule；
The index of logistics service is signed for, complains, settles a claim and lost including exception at least one in goods.
Specifically, the process can include：
According to multiple indexs included by each default dimension, associated data is counted, to obtain each desired value；
Weight coefficient corresponding to each index difference is obtained, wherein, weight coefficient corresponding to each index is all higher than equal to 0 and small
In equal to 1, each weight coefficient can instruct be determined according to expert, be either determined according to machine learning result or
Instructed according to expert and the combination of machine learning result is determined.
According to weight coefficient corresponding to the desired value of multiple indexs of each default dimension and each index, each default dimension is calculated
Angle value.
In addition, in addition to above-mentioned steps, multiple default dimensions of the associated data can also be obtained by other means
Dimension values, the present invention specific acquisition process is not limited.
206th, according to the dimension values of the multiple default dimension, the client health degree is determined.
Wherein, client health degree is used for the health status for indicating customer data.
Specifically, the process can include：
When the dimension values of all default dimensions are in corresponding default secure threshold scope, it is strong to determine client health degree
Health state；
When the dimension values of one of them default dimension in only all default dimensions are beyond corresponding default secure threshold model
When enclosing, it is sub-health state to determine client health degree；
When the dimension values more than two default dimensions in all default dimensions are beyond corresponding default secure threshold scope
When, it is precarious position to determine client health degree.
In the embodiment of the present invention, by the dimension values according to the multiple default dimension, the client health degree is determined, is carried
The high efficiency of client health degree analysis so that analyze client health degree more targeted.
It is worth noting that, step 205 to step 206 is realized according to the associated data, client health degree is determined
Process, in addition to the mode of step, the process can also be realized by other means, the embodiment of the present invention is to specific mode
It is not limited.
Optionally, after step 206, method provided in an embodiment of the present invention can also include：
207th, when existing in the multiple default dimension beyond the default dimension of default secure threshold scope, generation alarm
Information.
Wherein, presetting secure threshold scope corresponding to each default dimension difference can instruct to carry out really according to expert respectively
It is fixed, either it is determined according to machine learning result or is determined according to expert's guidance and the combination of machine learning result.
Specifically, judge to whether there is the default dimension beyond default secure threshold scope in the multiple default dimension,
If so, generation warning information, the present invention are not limited to specific deterministic process.
In the embodiment of the present invention, by when existing in the multiple default dimension beyond the default of default secure threshold scope
During dimension, warning information is generated, so that corresponding administrative staff recognize the unusual condition of customer data in time, so as to right
Unusual condition carries out respective handling.
208th, shown according to the trigger action of user to carrying out chart beyond the default dimension of default secure threshold scope
Show.
Specifically, the process can include：
When monitoring trigger action of the user in viewing area, shown in default viewing area beyond default secure threshold
Chart corresponding to the default dimension of scope；
Wherein, chart includes the one or more in line chart, block diagram, cake chart and bar graph.
In the embodiment of the present invention, by the trigger action according to user to the default dimension beyond default secure threshold scope
Carry out chart to show so that user can be directly viewable the data corresponding to default dimension, in order to corresponding solution party
Case, in favor of improving customer service quality.
The embodiments of the invention provide a kind of client health degree to determine method, by obtaining the abnormal number in customer data
According to, and according to abnormal data, the associated data of abnormal data is obtained, and according to associated data, determine client health degree, client
Health degree is used to indicate the health status of customer data, compared with prior art, the present invention due to without manpower consumption it is a large amount of when
Between and energy go to browse the mass data of different business systems, the associated data of abnormal data can be obtained, thus reduce number
According to the workload of processing, the efficiency of data processing is improved；Further, since according to associated data, client health degree is determined, thus
The problem of improving client health degree analysis specific aim difference.
Embodiment three
The embodiments of the invention provide a kind of client health degree determining device, and referring to Fig. 3, the device 3 includes：
First acquisition module 31, for obtaining the abnormal data in customer data；
Second acquisition module 32, for according to the abnormal data, obtaining the associated data of the abnormal data；
Determining module 33, for according to the associated data, determining client health degree, the client health degree is used to indicate
The health status of the customer data.
Optionally, second acquisition module 32 is specifically used for：
According to the generation time of the abnormal data, it is determined that the data in the preset time period comprising the generation time are
The associated data of the abnormal data.
Optionally, second acquisition module 32 is specifically additionally operable to：
According to the generating region of the abnormal data, it is determined that the data in the predeterminable area comprising the generating region are institute
State the associated data of abnormal data.
Optionally, second acquisition module 32 is specifically additionally operable to：
According to the data source of the abnormal data, the abnormal data is obtained from the associated data source of the data source
Associated data.
Optionally, the determining module 33 includes：
Acquisition submodule 331, the dimension values of multiple default dimensions for obtaining the associated data, the default dimension
Including client's income, ageing and/or logistics service；
Determination sub-module 332, for the dimension values according to the multiple default dimension, determine the client health degree.
Optionally, described device 3 also includes：
Generation module 34, for when the default dimension beyond default secure threshold scope in the multiple default dimension being present
When, generate warning information；
Display module 35, for the trigger action according to user to the default dimension beyond default secure threshold scope
Chart is carried out to show.
The embodiments of the invention provide a kind of client health degree determining device, the device is different in customer data by obtaining
Regular data, and according to abnormal data, obtains the associated data of abnormal data, and according to associated data, determines client health degree,
Client health degree is used for the health status for indicating customer data, and compared with prior art, the present invention is due to big without manpower consumption
Amount time and energy go to browse the mass data of different business systems, can obtain the associated data of abnormal data, thus reduce
The workload of data processing, improve the efficiency of data processing；Further, since according to associated data, client health degree is determined,
The problem of hence improving client health degree analysis specific aim difference.
Above-mentioned all optional technical schemes, any combination can be used to form the alternative embodiment of the present invention, herein no longer
Repeat one by one.
It should be noted that in the description of the invention, term " first ", " second " etc. are only used for describing purpose, without
It is understood that to indicate or implying relative importance.In addition, in the description of the invention, unless otherwise indicated, the implication of " multiple "
It is two or more.
It should be noted that：The client health degree determining device that above-described embodiment provides is performing client health degree determination side
, can be as needed and by above-mentioned function only with the division progress of above-mentioned each functional module for example, in practical application during method
Distribution is completed by different functional modules, i.e., the internal structure of device is divided into different functional modules, to complete to retouch above
The all or part of function of stating.In addition, the client health degree determining device that above-described embodiment provides determines with client health degree
Embodiment of the method belongs to same design, and its specific implementation process refers to embodiment of the method, repeats no more here.
One of ordinary skill in the art will appreciate that hardware can be passed through by realizing all or part of step of above-described embodiment
To complete, by program the hardware of correlation can also be instructed to complete, described program can be stored in a kind of computer-readable
In storage medium, storage medium mentioned above can be read-only storage, disk or CD etc..
The foregoing is only presently preferred embodiments of the present invention, be not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent substitution and improvements made etc., it should be included in the scope of the protection.
Claims (10)
1. a kind of client health degree determines method, it is characterised in that methods described includes：
Obtain the abnormal data in customer data；
According to the abnormal data, the associated data of the abnormal data is obtained；
According to the associated data, client health degree is determined, the client health degree is used for the health for indicating the customer data
State.
2. according to the method for claim 1, it is characterised in that it is described according to the abnormal data, obtain the abnormal number
According to associated data include：
According to the generation time of the abnormal data, it is determined that the data in the preset time period comprising the generation time are described
The associated data of abnormal data.
3. according to the method for claim 1, it is characterised in that it is described according to the abnormal data, obtain the abnormal number
According to associated data include：
According to the generating region of the abnormal data, it is determined that the data in the predeterminable area comprising the generating region are described different
The associated data of regular data.
4. according to the method for claim 1, it is characterised in that it is described according to the abnormal data, obtain the abnormal number
According to associated data include：
According to the data source of the abnormal data, the association of the abnormal data is obtained from the associated data source of the data source
Data.
5. according to the method described in Claims 1-4 any one, it is characterised in that it is described according to the associated data, it is determined that
Client health degree includes：
Obtain the dimension values of multiple default dimensions of the associated data, the default dimension include client's income, it is ageing and/
Or logistics service；
According to the dimension values of the multiple default dimension, the client health degree is determined.
6. according to the method for claim 5, it is characterised in that methods described also includes：
When existing in the multiple default dimension beyond the default dimension of default secure threshold scope, warning information is generated；
Shown according to the trigger action of user to carrying out chart beyond the default dimension of default secure threshold scope.
7. a kind of client health degree determining device, it is characterised in that described device includes：
First acquisition module, for obtaining the abnormal data in customer data；
Second acquisition module, for according to the abnormal data, obtaining the associated data of the abnormal data；
Determining module, for according to the associated data, determining client health degree, the client health degree is used to indicate the visitor
The health status of user data.
8. device according to claim 7, it is characterised in that second acquisition module is specifically used for：
According to the generation time of the abnormal data, it is determined that the data in the preset time period comprising the generation time are described
The associated data of abnormal data.
9. device according to claim 7, it is characterised in that second acquisition module is specifically used for：
According to the generating region of the abnormal data, it is determined that the data in the predeterminable area comprising the generating region are described different
The associated data of regular data.
10. device according to claim 7, it is characterised in that second acquisition module is specifically used for：
According to the data source of the abnormal data, the association of the abnormal data is obtained from the associated data source of the data source
Data.
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| JP2002063278A (en) * | 2000-08-22 | 2002-02-28 | Shotaro Katsuki | Health degree evaluation system, its recording medium and health degree evaluating method |
| CN102122374A (en) * | 2011-03-03 | 2011-07-13 | 江苏方天电力技术有限公司 | Intelligent analysis system for flow abnormity of power automation system |
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| CN107358031B (en) | 2021-12-21 |
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