CN108460077A - A kind of index analysis method, system and computer readable storage medium - Google Patents
A kind of index analysis method, system and computer readable storage medium Download PDFInfo
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Abstract
The present invention relates to a kind of index analysis method, system and computer readable storage medium, this method to include：Obtain analysis theme corresponding with index to be analyzed, the wherein described analysis theme includes at least one analysis strategy, each analysis strategy includes at least one analytical model, each analysis pattern includes configuration information, each configuration information includes the source data information and object variations parameter of user configuration, for each analysis pattern, according to the source data information and object variations parameter of the user configuration that the analytical model includes, obtain at least one numerical value of object variations parameter, at least one numerical value of the output for the object variations parameter got according to analysis theme.The present invention can establish multi-layer analysis framework, automatically analyze index to be analyzed, improve the efficiency of index analysis according to analysis theme.
Description
Technical field
It is related to a kind of index analysis method, system and computer readable storage medium.
Background technology
In practical application, a certain index of a certain things can generate fluctuation over time, for example, a certain film
This index of playback volume can constantly change or the size of population in a certain city this index can change, in order to find out certain
The a certain index cause of fluctuation of one things, needs to analyze the index.
In the prior art, when carrying out index analysis, from the acquisition of analysis data, to the calculating in analytic process, then to most
The generation of whole analysis result, analytic process relatively ossify, are unable to flexible configuration, lead to the efficiency of analysis indexes in the prior art
It is relatively low.
Invention content
A kind of index analysis method of offer of the embodiment of the present invention, system and computer readable storage medium, to solve
The rigid less efficient problem of configuration of analysis indexes in the prior art.
The embodiment of the present invention uses following technical proposals：
The embodiment of the present invention provides a kind of index analysis method, and this method includes：
Obtain analysis theme corresponding with index to be analyzed, wherein the analysis theme includes at least one analysis plan
Slightly, each analysis strategy includes at least one analytical model, and each analysis pattern includes configuration information, each configuration information
Include the source data information and object variations parameter of user configuration；
For each analysis pattern, the source data information and target of the user configuration for including according to the analytical model become
Change parameter, obtains at least one numerical value of the object variations parameter；
At least one numerical value for the object variations parameter that output is arrived for each analysis pattern acquiring.
The embodiment of the present invention provides a kind of index analysing system, which includes acquisition module, analysis module, output mould
Block, wherein：
Acquisition module, for obtaining corresponding with index to be analyzed analysis theme, wherein the analysis theme include to
A few analysis strategy, each analysis strategy includes at least one analytical model, and each analysis pattern includes configuration information,
Each configuration information includes the source data information and object variations parameter of user configuration；
Analysis module, for being directed to each analysis pattern, according to the source data for the user configuration that the analytical model includes
Information and object variations parameter obtain at least one numerical value of object variations parameter；
Output module, for exporting at least one numerical value for being directed to the object variations parameter that each analysis pattern acquiring arrives.
The embodiment of the present invention also provides a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the journey
Sequence can realize These parameters analysis method when being executed by processor.
Above-mentioned at least one technical solution that the embodiment of the present application uses can reach following advantageous effect：
In the embodiment of the present invention, corresponding with index to be analyzed analysis theme is obtained, wherein the analysis theme includes
At least one analysis strategy, each analysis strategy include at least one analytical model, and each analysis pattern includes matching confidence
Breath, each configuration information includes the source data information and object variations parameter of user configuration, for each analysis pattern, root
According to the source data information and object variations parameter of the user configuration that the analytical model includes, object variations parameter is obtained extremely
Few numerical value, at least one numerical value for the object variations parameter that output is arrived for each analysis pattern acquiring.
On the one hand, the efficiency of index analysis can be improved automatically according to analysis subject analysis index to be analyzed；
On the other hand, since analysis theme includes different analysis strategies, different analysis strategies include different analytical models, that
Index to be analyzed can be analyzed from different level, this just so that precision of analysis is higher.
Description of the drawings
Fig. 1 is a kind of flow diagram of index analysis method provided in an embodiment of the present invention；
Fig. 2 is the structural schematic diagram of the data in analysis theme provided in an embodiment of the present invention；
Fig. 3 is the flow diagram of another index analysis method provided in an embodiment of the present invention；
Fig. 4 is the flow diagram of another index analysis method provided in an embodiment of the present invention；
Fig. 5 is a kind of structural schematic diagram of index analysing system provided in an embodiment of the present invention.
Specific implementation mode
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with the specific embodiment of the invention and
Technical scheme is clearly and completely described in corresponding attached drawing.Obviously, described embodiment is only the present invention one
Section Example, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not doing
Go out the every other embodiment obtained under the premise of creative work, shall fall within the protection scope of the present invention.
Below in conjunction with attached drawing, the technical solution of embodiment that the present invention will be described in detail offer.
In order to solve the problems, such as a kind of less efficient, index of offer of the embodiment of the present invention of analysis indexes in the prior art
Analysis method.
The executive agent of this method can be, but not limited to as mobile phone, tablet computer or PC (Personal
Computer, PC) etc. the application (Application, APP) that runs on user terminals or those user terminals, alternatively, also
Can be the equipment such as server.
For ease of description, for hereafter executive agent in this way is PC, the embodiment of this method is introduced.
It is appreciated that it is a kind of illustrative explanation that the executive agent of this method, which is PC, it is not construed as the restriction to this method.
The idiographic flow schematic diagram of this method is as shown in Figure 1, include the following steps：
Step S101 obtains analysis theme corresponding with index to be analyzed.
Wherein, analysis theme includes at least one analysis strategy, and each analysis strategy includes at least one analysis mould
Formula, each analysis pattern include configuration information, and each configuration information includes the source data information and target of user configuration
Variable parameter.
Above-mentioned index to be analyzed refers to a certain index of a certain things for needing to analyze, can be with for example, index to be analyzed
It is the playback volume of a certain film, the click volume etc. of the population in a certain city or a certain Website News.
Above-mentioned dimension refers to used angle when analyzing a certain index of a certain things, for example, a certain new to analyze
The click volume of website is heard, it can be from the different dimensions such as military type news, types of entertainment news, international types news, i.e., military class
The different angles such as type news, types of entertainment news, international types news, to analyze the click volume of all types of news, Jin Erfen
Analyse the click volume of the Website News.
Above-mentioned source data information, it may include target dimension, target indicator and target date information etc..
Above-mentioned object variations parameter can be the variable parameters such as difference, change rate or explanation degree.
Above-mentioned date information can be specific date, such as on January 1st, 2017 or on October 10th, 2017 etc., also may be used
To be opposite date, such as the previous day of current date or the first seven day etc..
It should be strongly noted that an analysis theme there may come a time when that at least two analysis strategies, each analysis can be corresponded to
Strategy includes at least one analytical model, why can in this way, be because influence the factor of index to be analyzed fluctuation compared with
It can influence each other between more and different factors, this just needs that multiple analysis strategies are arranged, and is arranged not in different analysis strategies
Identical analytical model, so as to analyze same index to be analyzed from many levels, to improve analysis indexes knot
The accuracy of fruit.
Wherein, the configuration information in different analytical models, may be entirely different, it is also possible to have part identical.The same plan
Slightly include multiple and different patterns, the same pattern can also include that configuration is very flexible by Different Strategies.The same pattern
Data can also be utilized by multiple analysis of strategies, substantially increase data user rate.
The structure of the data in analysis theme is exemplified below, is the data in an analysis theme referring to Fig. 2, Fig. 2
Structural schematic diagram, the content for the different levels that an analysis theme includes in Fig. 2, analysis theme last layer is 3 analysis plans
Slightly, respectively analysis strategy 1-3, by taking analysis strategy 2 as an example, the last layer of analysis strategy 2 is 3 analytical models, is respectively divided
Analysis pattern 1-3, by taking analytical model 1 as an example, the last layer of analytical model 1 is source data information and object variations parameter.
Specifically, in the embodiment of the present invention, the correspondence of each index and analysis theme of each things, root can be established in advance
According to the correspondence, analytical model corresponding with index to be analyzed is obtained.
It should be noted that analysis theme corresponding with index to be analyzed can be created in advance sometimes, according to it is preset when
Between the period, obtain analysis theme corresponding with the index to be analyzed, then execute subsequent operation, analyze index to be analyzed.
In addition, also analysis theme can be first created before analyzing index to be analyzed, further according to analysis subject analysis finger to be analyzed
Mark, then, before executing step 101, produce analysis theme corresponding with index to be analyzed.Due in practical application, no
With emphasis of the user when analyzing index to be analyzed be different, than if any user lay particular emphasis on Analysis server in terms of
Different factors treat the influence of analysis indexes, and the different factors in terms of some users lay particular emphasis on mobile terminal treat analysis indexes
Influence, then just to make analysis strategy meet user demand, be provided below to make analysis result meet user demand
A kind of analysis subject generating method, this method are as described below：
At least one configuration information corresponding with index to be analyzed is obtained, according at least one configuration information, and at least
One analytical model template, generates at least one analytical model, according at least one analytical model and preset at least one
Analysis strategy template generates at least one analysis strategy, according at least one analysis strategy and preset analysis theme template,
Generate analysis theme.
Wherein, the two methods for obtaining at least one configuration information corresponding with index to be analyzed are as follows：
First method：Receive at least one configuration information input by user.User can pass through the inputs such as keyboard, microphone
Equipment inputs at least one configuration information to PC.
Second method：In response to the selection instruction of user, corresponded to respectively in dimension, index, variable parameter, date information
Multiple candidate informations in, select selection with user instruct corresponding target dimension, target indicator, object variations parameter,
Target date information.
When generating analytical model, analysis strategy and analysis theme, PC may be in response to the operation of user, by the behaviour with user
Make corresponding information to be added in each template, to generate analytical model, analysis strategy and analysis theme.Wherein, same point
Analysis pattern can be added in multiple preset analysis strategy templates, can improve the utilization rate of data information in this way, reduce to the greatest extent
The time is saved in the operation of user, improves analysis strategy formation efficiency.In addition, during generating analysis strategy, user configuration information
Process, and different information are added to the process in different templates by triggering PC, and operation is relatively simple, flexible so that analysis
The generating process of theme is relatively simple, and formation efficiency is higher.
Described user above, refers to validated user, that is to say, that the identity of user is legal.Refer to improve analysis
The safety of mark method avoids criminal's configuration information, or avoids criminal from stealing analysis result as possible as possible, can be prior
Judge whether user is validated user, in the embodiment of the present invention, can examine whether user be validated user by following methods：
Authentication information input by user is obtained, judges whether the authentication information is believed with preset authentication
Manner of breathing is same, if the determination result is YES, then judges that user is validated user；Otherwise, it is determined that user is disabled user.
Step S102, for each analysis pattern, according to the source data information for the user configuration that the analytical model includes
And object variations parameter, obtain at least one numerical value of object variations parameter.
Wherein, at least one numerical value of object variations parameter refers to that target date information is corresponding, target dimension, mesh
Index, object variations parameter numerical value is marked, if for example, target date information refers to yesterday and the day before yesterday, target dimension refers to joy
Happy type news, target indicator refer to click volume, and object variations parameter refers to change rate, then target value be yesterday and before
Its corresponding, types of entertainment news, click volume, change rate numerical value.
Following is a brief introduction of the embodiment of the present invention is how to execute step 102：
For each analysis pattern, according to source data information, source data is obtained, wherein the source data refers to and the date
Information is corresponding, target dimension, the corresponding data of target indicator, is closed according to preset variable parameter is corresponding with computational methods
System, and according to object variations parameter, obtain the corresponding computational methods of object variations parameter, according to source data and computational methods,
Obtain at least one numerical value of object variations parameter.
The method for obtaining source data is as follows：
It generates according to source data information for each analysis pattern and obtains source data solicited message, wherein obtain source number
Include target dimension, target indicator, target date information according to solicited message, sends and obtain to specified at least one database
Source data solicited message, so that specified at least one database is after receiving and obtaining source data solicited message, according to acquisition
Source data solicited message returns to data corresponding with source data solicited message is obtained, receives specified at least one database and return
The data returned, and using the data received as source data.Above-mentioned at least one specified data library, it may include Hive, Mysql
Or the databases such as Hbase.
It should be noted that in order to avoid result of calculation mistake occur as far as possible, the accuracy of result of calculation is improved as possible,
For each analysis pattern, according to source data and computational methods, obtained after obtaining source data according to source data information
Before taking at least one numerical value of object variations parameter, operations described below can also carry out：
Detect the status information of source data, wherein the status information of data source includes data integrated degree, Data Date letter
Breath；When detecting that the status information of source data is normal, according to the source data and computational methods got, object variations are obtained
At least one numerical value of parameter；When detecting the status information exception of source data, source data is reacquired.Data said herein
Date information is identical as target date information.
Step S103, at least one numerical value for the object variations parameter that output is arrived for each analysis pattern acquiring.
In the embodiment of the present invention, result of calculation can be exported by arbitrary forms such as word, chart or sound.Wherein, in order to
Result of calculation is inquired convenient for user, reception object, such as phone number or mailbox etc. can be set in advance, then executing step
When S103, object variations ginseng can be got to reception object set in advance output with arbitrary forms such as word, chart or sound
At least one numerical value of amount.
It should be noted that in order to get abundanter analysis result, analysis result accuracy is improved as possible, each
It may also include abnormal data range information in analytical model, then each analysis pattern is directed to, according to source data information and mesh
Variable parameter is marked, after at least one numerical value for calculating object variations parameter, can also carry out operations described below：
For each analysis pattern, according at least one numerical value of object variations parameter, and abnormal numberical range information,
Judge whether at least one numerical value of object variations parameter is abnormal, obtains judging result, and output is directed to each analysis pattern acquiring
The judging result arrived.
Wherein, judging result can be exported by arbitrary forms such as word, chart or sound.Wherein, it is looked into for the ease of user
Result of calculation is ask, reception object, such as phone number or mailbox etc. can be set in advance, then can be with word, chart or sound etc.
Arbitrary form exports judging result to reception object set in advance.
In addition, when exporting judging result, if there are abnormal results, also exportable prompting messages, to remind for judging result
There is abnormal judging result in user's judging result so that user can check, handle in time.
The embodiment of the present invention also provides another index analysis method, is implemented in index analysis platform.Index analysis platform
For analyzing index to be analyzed, which may include configuration module, acquisition module, analysis module and display module.The platform
Existence form can be browser form or application form, and the embodiment of the present invention is to this without any restriction.These parameters point
The flow diagram of analysis method can be found in Fig. 3, and this method includes the following steps：
Step S201, configuration module obtains the configuration information of user configuration, and generates analysis corresponding with index to be analyzed
Theme.
Step S202, acquisition module obtain source data according to analysis theme from specified at least one database.
Above-mentioned at least one specified data library, it may include the databases such as Hive, Mysql or Hbase.
Step S203, analysis module analyze index to be analyzed, generate analysis result according to source data, and analysis theme.
Step S204, display module show analysis result.
In addition, in order to enable reader is easier to understand index analysis method provided in an embodiment of the present invention, the present invention is implemented
Example also provides another specific index analysis method, is implemented in index analysis platform mentioned above, the flow signal of this method
Figure is as shown in figure 4, this method includes the following steps：
Step S301 obtains identity information input by user.
Step S302 judges whether identity information input by user is legal information.
If the determination result is YES, 303 are thened follow the steps, if judging result is no, terminates flow.
Step S303, the establishment in response to user instruct, and create the corresponding analysis theme of index to be analyzed.
Wherein, above-mentioned establishment instruction can be the double-click of user or click and show that creating control gives birth in index analysis platform
At instruction.
The title that may include index to be analyzed in analysis theme, needs to obtain the corresponding analysis result of analysis subject information
User information, and create the information of the user of the analysis theme.The information of user, it may include name, the identity of user
Demonstrate,prove at least one of number, telephone number and mailbox information.
For example, to analyze the question and answer number of certain APP this index, the title of the analysis theme of establishment can be " certain APP
Question and answer number ".
Step S304, the first addition in response to user instruct, and at least one analysis strategy is added in analyzing theme.
Wherein, above-mentioned first addition instruction can be the double-click of user or click the addition shown in index analysis platform
The instruction that analysis strategy control generates.
Each analysis strategy may include the title of analysis strategy, need to obtain the use of the corresponding analysis result of the analysis strategy
The information at family, and create the information of the user of the analysis strategy.
It uses the example above, if the quantity of analysis strategy is two, the title of one of analysis strategy can " put question to several points
Analysis ", another can be " answering number analysis ".
Step S305, the second addition in response to user instruct, and at least one analysis mould is added in each analysis strategy
Formula.
Wherein, above-mentioned second addition instruction can be the double-click of user or click the addition shown in index analysis platform
The instruction that analytical model control generates.
Continue to use the example above, may include 4 analytical models, this 4 analyses in " puing question to number analysis " this analysis strategy
The title of pattern may respectively be " operating system puts question to ring of numbers than change rate ", " operating system puts question to number year-on-year change rate ", " certain
APP puts question to ring of numbers than change rate ", " certain APP put question to number year-on-year change rate ", can wrap in " answering number analysis " this analysis strategy
4 analytical models are included, this 4 analytical models may respectively be " operating system answers ring of numbers than change rate ", " operating system answer number
Year-on-year change rate ", " certain APP answers ring of numbers than change rate ", " certain APP answers number year-on-year change rate ".
Step S306 adds instruction in response to the third of user, configuration information is added in each analysis pattern.
Each configuration information may include the title of target dimension, the title of target indicator, the title of object variations parameter, mesh
Mark date information.Under normal circumstances or ring is calculated than object variations parameter or calculates year-on-year object variations parameter, then
Comparatively target date information or is the adjacent date or is the date for being separated by preset time period, for the ease of mesh is arranged
Mark date information, can pre-set ring than with the correspondence on year-on-year basis with target date information, so directly be arranged be ring ratio also
It is year-on-year.
Continue to use the example above, after the step S306 that is finished, the data that an analysis theme includes can use following table
It embodies：
Step S307 analyzes index to be analyzed according to each analysis pattern that analysis theme includes, and obtains analysis knot
Fruit.
Step S308 shows analysis result.
In addition, in the embodiment of the present invention, in order to solve the problems, such as that analysis indexes in the prior art are less efficient, also provide
A kind of index analysing system, the structural schematic diagram of the system is as shown in figure 4, the system includes acquisition module 401, analysis module
402, output module 403, wherein：
Acquisition module 401, for obtaining analysis theme corresponding with index to be analyzed, wherein wrapped in the analysis theme
At least one analysis strategy is included, each analysis strategy includes at least one analytical model, and each analysis pattern includes configuration
Information, each configuration information include the source data information and object variations parameter of user configuration.
Analysis module 402, for being directed to each analysis pattern, according to the source number for the user configuration that the analytical model includes
It is believed that breath and object variations parameter, obtain at least one numerical value of object variations parameter.
Output module 403, for exporting at least one number for being directed to the object variations parameter that each analysis pattern acquiring arrives
Value.
In a kind of implement scene, before obtaining analysis theme corresponding with index to be analyzed, the system also includes
Generation module is used for：
Obtain at least one configuration information corresponding with index to be analyzed；
According at least one configuration information and at least one analytical model template, generate described at least one
A analytical model；
According at least one analytical model and preset at least one analysis strategy template, generate described at least one
A analysis strategy；
According at least one analysis strategy and preset analysis theme template, the analysis theme is generated.
In a kind of implement scene, the source data information, including target dimension, target indicator and target date letter
Breath.
In a kind of implement scene, the analysis module 402 is specifically used for：
For each analysis pattern, according to the source data information, source data is obtained, wherein the source data is
Refer to target dimension corresponding with the date information, described, the corresponding data of the target indicator；
According to the correspondence of preset variable parameter and computational methods, and according to the object variations parameter, obtain institute
State the corresponding computational methods of object variations parameter；
According to the source data and computational methods, at least one numerical value of the object variations parameter is obtained.
In a kind of implement scene, the analysis module 402 is specifically used for：
It generates according to the source data information for each analysis pattern and obtains source data solicited message, wherein
The acquisition source data solicited message includes the target dimension, the target indicator, target date information；
Send the acquisition source data solicited message to specified at least one database so that it is described it is specified at least
One database is after receiving the acquisition source data solicited message, according to the acquisition source data solicited message, return and institute
It states and obtains the corresponding data of source data solicited message；
The data that specified at least one database returns are received, and using the data received as the source number
According to.
In a kind of implement scene, the system also includes detection modules, are used for：
Detect the status information of the source data, wherein the status information of the data source includes data integrated degree, number
According to date information；Then
The acquisition module 401, is specifically used for：
When detecting that the status information of the source data is normal, according to the source data and computational methods got, obtain
Take at least one numerical value of the object variations parameter.
Further include abnormal numberical range information in a kind of implement scene, in each analysis pattern, then
The analysis module 402, is additionally operable to：
For each analysis pattern, according at least one numerical value of the object variations parameter and the abnormal numerical value
Range information judges whether at least one numerical value of the object variations parameter is abnormal, obtains judging result；
The output module 403 is additionally operable to the judging result that output is arrived for each analysis pattern acquiring.
In a kind of implement scene, the user is validated user.
In a kind of implement scene, the acquisition module 401 is specifically used for：
According to the preset time cycle, obtain and the index correspondence analysis theme to be analyzed.
In addition, the embodiment of the present invention also provides a kind of computer readable storage medium, it is stored thereon with computer program,
It is characterized in that, any of the above-described kind of index analysis method can be realized when which is executed by processor.
In the embodiment of the present invention, corresponding with index to be analyzed analysis theme is obtained, wherein the analysis theme includes
At least one analysis strategy, each analysis strategy include at least one analytical model, and each analysis pattern includes matching confidence
Breath, each configuration information includes the source data information and object variations parameter of user configuration, for each analysis pattern, root
According to the source data information and object variations parameter of the user configuration that the analytical model includes, object variations parameter is obtained extremely
Few numerical value, at least one numerical value for the object variations parameter that output is arrived for each analysis pattern acquiring, on the one hand, can
Automatically according to analysis subject analysis index to be analyzed, the efficiency of index analysis is improved；On the other hand, since analysis theme can wrap
Different analysis strategies are included, different analysis strategies include different analytical models, then can make from different layers surface analysis index to be analyzed
The accuracy for obtaining index analysis is higher.
In several embodiments provided by the present invention, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit
It divides, only a kind of division of logic function, formula that in actual implementation, there may be another division manner, for example, multiple units or group
Part can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown
Or the mutual coupling, direct-coupling or communication connection discussed can be by some interfaces, device or unit it is indirect
Coupling or communication connection can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of hardware adds SFU software functional unit.
The above-mentioned integrated unit being realized in the form of SFU software functional unit can be stored in one and computer-readable deposit
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are used so that a computer
It is each that device (can be personal computer, server or network equipment etc.) or processor (Processor) execute the present invention
The part steps of embodiment the method.And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. it is various
The medium of program code can be stored.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
With within principle, any modification, equivalent substitution, improvement and etc. done should be included within the scope of protection of the invention god.
Claims (19)
1. a kind of index analysis method, which is characterized in that the method includes：
Obtain analysis theme corresponding with index to be analyzed, wherein the analysis theme includes at least one analysis strategy, often
A analysis strategy includes at least one analytical model, and each analysis pattern includes configuration information, is wrapped in the configuration information
Include the source data information and object variations parameter of user configuration；
For each analysis pattern, the source data information and object variations of the user configuration for including according to the analytical model are joined
Amount obtains at least one numerical value of object variations parameter；
At least one numerical value for the object variations parameter that output is arrived for each analysis pattern acquiring.
2. the method as described in claim 1, which is characterized in that before obtaining analysis theme corresponding with index to be analyzed,
The method further includes：
Obtain at least one configuration information corresponding with index to be analyzed；
According at least one configuration information and at least one analytical model template, described at least one point is generated
Analysis pattern；
According at least one analytical model and preset at least one analysis strategy template, described at least one point is generated
Analysis strategy；
According at least one analysis strategy and preset analysis theme template, the analysis theme is generated.
3. the method as described in claim 1, which is characterized in that the source data information, including target dimension, target indicator with
And target date information.
4. method as claimed in claim 3, which is characterized in that be directed to each analysis pattern, include according to the analytical model
User configuration source data information and object variations parameter, obtain at least one numerical value of object variations parameter, it is specific to wrap
It includes：
For each analysis pattern, according to the source data information, obtain source data, wherein the source data, refer to
The corresponding data of corresponding, the described target dimension of the date information, described target indicator；
According to the correspondence of preset variable parameter and computational methods, and according to the object variations parameter, obtain the mesh
Mark the corresponding computational methods of variable parameter；
According to the source data and computational methods, at least one numerical value of the object variations parameter is obtained.
5. method as claimed in claim 4, which is characterized in that it is described to be directed to each analysis pattern, according to the source number
It is believed that breath, obtains source data, including：
It generates according to the source data information for each analysis pattern and obtains source data solicited message, wherein is described
It includes the target dimension, the target indicator, target date information to obtain source data solicited message；
The acquisition source data solicited message is sent to specified at least one database, so that described specified at least one
Database is after receiving the acquisition source data solicited message, and according to the acquisition source data solicited message, return is obtained with described
Take the corresponding data of source data solicited message；
The data that specified at least one database returns are received, and using the data received as the source data.
6. method as claimed in claim 4, which is characterized in that for each analysis pattern, according to the source data
Information, according to the source data and computational methods, obtains at least the one of the object variations parameter after obtaining source data
Before a numerical value, the method further includes：
Detect the status information of the source data, wherein the status information of the data source includes data integrated degree, data day
Phase information；Then
According to the source data and computational methods, at least one numerical value of the object variations parameter is obtained, is specifically included：
When detecting that the status information of the source data is normal, according to the source data and computational methods got, institute is obtained
State at least one numerical value of object variations parameter.
7. the method as described in claim 1, which is characterized in that further include abnormal numberical range letter in each analysis pattern
Breath, then
The object variations parameter is calculated according to the source data information and object variations parameter for each analysis pattern
At least one numerical value after, the method further includes：
For each analysis pattern, according at least one numerical value of the object variations parameter and the abnormal numberical range
Information judges whether at least one numerical value of the object variations parameter is abnormal, obtains judging result；
The judging result that output is arrived for each analysis pattern acquiring.
8. the method as described in claim 1, which is characterized in that the user is validated user.
9. the method as described in claim 1, which is characterized in that analysis theme corresponding with index to be analyzed is obtained, it is specific to wrap
It includes：
According to the preset time cycle, obtain and the index correspondence analysis theme to be analyzed.
10. a kind of index analysing system, which is characterized in that the system comprises：
Acquisition module, for obtaining analysis theme corresponding with index to be analyzed, wherein the analysis theme includes at least one
A analysis strategy, each analysis strategy include at least one analytical model, and each analysis pattern includes configuration information, each
Configuration information includes the source data information and object variations parameter of user configuration；
Analysis module, for being directed to each analysis pattern, according to the source data information for the user configuration that the analytical model includes
And object variations parameter, obtain at least one numerical value of object variations parameter；
Output module, for exporting at least one numerical value for being directed to the object variations parameter that each analysis pattern acquiring arrives.
11. system as claimed in claim 10, which is characterized in that obtain corresponding with index to be analyzed analysis theme it
Before, the system also includes generation modules, are used for：
Obtain at least one configuration information corresponding with index to be analyzed；
According at least one configuration information and at least one analytical model template, described at least one point is generated
Analysis pattern；
According at least one analytical model and preset at least one analysis strategy template, described at least one point is generated
Analysis strategy；
According at least one analysis strategy and preset analysis theme template, the analysis theme is generated.
12. system as claimed in claim 10, which is characterized in that the source data information, including target dimension, target indicator
And target date information.
13. system as claimed in claim 12, which is characterized in that the analysis module is specifically used for：
For each analysis pattern, according to the source data information, obtain source data, wherein the source data, refer to
The corresponding data of corresponding, the described target dimension of the date information, described target indicator；
According to the correspondence of preset variable parameter and computational methods, and according to the object variations parameter, obtain the mesh
Mark the corresponding computational methods of variable parameter；
According to the source data and computational methods, at least one numerical value of the object variations parameter is obtained.
14. system as claimed in claim 13, which is characterized in that the analysis module is specifically used for：
It generates according to the source data information for each analysis pattern and obtains source data solicited message, wherein is described
It includes the target dimension, the target indicator, target date information to obtain source data solicited message；
The acquisition source data solicited message is sent to specified at least one database, so that described specified at least one
Database is after receiving the acquisition source data solicited message, and according to the acquisition source data solicited message, return is obtained with described
Take the corresponding data of source data solicited message；
The data that specified at least one database returns are received, and using the data received as the source data.
15. system as claimed in claim 13, which is characterized in that the system also includes detection modules, are used for：
Detect the status information of the source data, wherein the status information of the data source includes data integrated degree, data day
Phase information；The acquisition module, is specifically used for：
When detecting that the status information of the source data is normal, according to the source data and computational methods got, institute is obtained
State at least one numerical value of object variations parameter.
16. system as claimed in claim 10, which is characterized in that further include abnormal numberical range in each analysis pattern
Information, the analysis module are additionally operable to：
For each analysis pattern, according at least one numerical value of the object variations parameter and the abnormal numberical range
Information judges whether at least one numerical value of the object variations parameter is abnormal, obtains judging result；
The output module is additionally operable to the judging result that output is arrived for each analysis pattern acquiring.
17. system as claimed in claim 10, which is characterized in that the user is validated user.
18. system as claimed in claim 10, which is characterized in that the acquisition module is specifically used for：
According to the preset time cycle, obtain and the index correspondence analysis theme to be analyzed.
19. a kind of computer readable storage medium, which is characterized in that be stored thereon with computer program, which is characterized in that the journey
Sequence can realize the method in claim 1-9 described in any claim when being executed by processor.
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