CN103473305A - Method and system for performing decision-making process show in statistic analysis - Google Patents
Method and system for performing decision-making process show in statistic analysis Download PDFInfo
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Abstract
The invention relates to a method and a system for performing decision-making process show in statistic analysis. The method comprises steps of 1, integrating a decision-making process module on an intelligent analysis platform, and configuring all the basic parameters relevant to decision-making process show; 2, configuring database connection relations between the intelligent analysis platform and a table data set and between the intelligent analysis platform and a multi-dimensional analysis data set, and associating the table data set and the multi-dimensional analysis data set to the decision-making process module; 3, integrating all the calculation methods relevant to the decision-making process show to a corresponding control module and guiding the integrated control module into the decision-making process module; 4, selecting basic parameters, table data, multi-dimensional analysis data and/ or the control module required by the decision-making analysis on the decision-making process module to generate a corresponding decision-making analysis report. By means of the method and the system for performing the decision-making process show in statistic analysis, a powerful decision-making process show platform is provided, and multiple decision-making needs of users can be met.
Description
Technical field
The present invention relates to the statistical analysis technique of the communications field, particularly relate to a kind of method and system of carrying out the decision process displaying in statistical study.
Background technology
Be below some related terms explanations of existing statistical analysis system, it is applicable to the present invention.
Intellectualized analysis platform: be the client of form configuration, can create easily simple form, its designed use is that important information is analyzed and explained in the usage data storehouse.
The form center: the form center, as the part of the core system of IT supporting framework, is one of important means of the every operational indicator of reflection company, and it comprises a large amount of report data set.Each business department all takes much count of the construction at form center, and wishes to realize as much as possible the robotization processing of form, and guarantees promptness and the accuracy of form.Therefore, need the data quality management of strengthening reporting system, and the data accuracy of elevator system.
Multidimensional analysis: be a kind of OLAP(On-Line Analytical Processing, on-line analytical processing) application, it carries out the operations such as multi-angular analysis, ranks exchange, lower brill, section to the dimension field in fact table, and can assist data analysis, comprised a large amount of multidimensional analysis data acquisitions.
Multidimensional analysis specialized designs based on OLAP, it supports complicated analysis operation, stress the decision support to decision-maker and senior management staff, can according to analyst's requirement fast, carry out neatly the complex query processing of big data quantity, and with a kind of form directly perceived and understandable, Query Result is offered to the decision-maker, so that they accurately grasp the management state of enterprise (company), understand the demand of object, formulate correct scheme.OLAP has the outstanding advantages such as analytic function, data manipulation intuitively and analysis result visable representation flexibly, thereby the user is become easily and efficiently to the analysis based on the large amount of complex data, is beneficial to make accurate judgment rapidly.The hypothesis of the complexity that it can be used for confirming that people propose, consequently with the form of figure or form, mean to information.
In addition, existing decision process is showed and is mostly showed with the form of backstage algorithm, at front end, does not realize interface, and can not generate the decision-making report.And, along with the business development of current enterprise, unified analysis decision flow process is set in statistical analysis system also more and more necessary, and the client also needs a kind ofly can meet them and realize the statistical analysis system of decision analysis by a unified module.
Therefore, the present invention proposes the technology that a kind of combined with intelligent analysis platform, form center and multidimensional analysis technology are carried out the decision process displaying.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of method and system of carrying out the decision process displaying in statistical study, for solving the problem of in existing statistical analysis technique, carrying out the decision process displaying.
The technical scheme that the present invention solves the problems of the technologies described above is as follows: a kind of method of carrying out the decision process displaying in statistical study comprises:
Step 1, an integrated decision process module on intellectualized analysis platform, and configuration is showed relevant all basic parameters to decision process on this decision process module;
Step 2, the database annexation between configuration intellectualized analysis platform and report data set and multidimensional analysis data acquisition, and, by the database annexation of configuration, report data set and multidimensional analysis data acquisition are associated to described decision process module;
Step 3, will show that relevant all compute classes methods are integrated into corresponding control module to decision process, and integrated control module will be directed into to described decision process module;
Step 4 is selected to carry out the required basic parameter of decision analysis, report data, multidimensional analysis data and/or control module on described decision process module, generates corresponding decision analysis report.
On the basis of technique scheme, the present invention can also do following improvement.
Further, described step 1 also comprises: described decision process module is carried out to the front-end interface processing, generate corresponding decision process panel.
Further, the basic parameter in described step 1 comprises type of service, Service Brand, operational indicator, business hours, service area, account book type, user profile and organizational structure.
Further, the report data set in described step 2 comprises the set of income class report data, the set of user class report data and customer service class data acquisition; Described multidimensional analysis data acquisition comprises the financial analysis data acquisition.
Further, show that to decision process relevant all compute classes methods comprise data mining class computing method and pattern analysis class computing method in described step 3.
Further, described data mining class computing method comprise sorting technique, homing method, clustering method, association rules method and decision tree disposal route; Described pattern analysis class computing method comprise pie chart analytical approach, histogram analysis method and broken line graph analytical approach.
Based on said method, technical scheme of the present invention also comprises a kind of system of carrying out the decision process displaying in statistical study, comprises decision process module and the data acquisition relating module be connected with described decision process module, control integration module and decision analysis report generation module:
Described decision process module, it is integrated on intellectualized analysis platform, for configuration thereon, to decision process, shows relevant all basic parameters;
Described data acquisition relating module, it is connected with described decision process module, for configuring the database annexation between intellectualized analysis platform and report data set and multidimensional analysis data acquisition, and, by the database annexation of configuration, report data set and multidimensional analysis data acquisition are associated to described decision process module;
Described control integration module, it is connected with described decision process module, for showing that relevant all compute classes methods are integrated into corresponding control module to decision process, and integrated control module is directed into to described decision process module;
Described decision analysis report generation module, it is connected with described decision process module, carry out the required basic parameter of decision analysis, report data, multidimensional analysis data and/or control module for what select according to described decision process module, generate corresponding decision analysis report.
Further, the described all basic parameters relevant to the decision process displaying comprise type of service, Service Brand, operational indicator, business hours, service area, account book type, user profile and organizational structure.
Further, described report data set comprises the set of income class report data, the set of user class report data and customer service class data acquisition; Described multidimensional analysis data acquisition comprises the financial analysis data acquisition.
Further, described control module comprises data mining class control module and pattern analysis class control module; And described data mining class control module comprises sort module, regression block, cluster analysis module, correlation rule module and decision tree processing module; Described pattern analysis class control module comprises pie chart analysis module, histogram analysis module and broken line graph analysis module.
The invention has the beneficial effects as follows: the present invention is directed to existing statistical analysis system and done a decision process displaying, it can realize front-end interface, simple to operate, and associated several data set, and integrated multiple computing method, provide a more powerful extendible decision process display platform to statistical analysis system, and generated corresponding decision analysis report, can meet more neatly the requirement of decision-maker to multiple decision-making demand.
The accompanying drawing explanation
The schematic flow sheet that Fig. 1 is decision process methods of exhibiting of the present invention;
The structural representation that Fig. 2 is decision process display systems of the present invention.
In accompanying drawing, the list of parts of each label representative is as follows:
1, decision process module, 2, the data acquisition relating module, 3, the control integration module, 4, decision analysis report generation module.
Embodiment
Below in conjunction with accompanying drawing, principle of the present invention and feature are described, example, only for explaining the present invention, is not intended to limit scope of the present invention.
As shown in Figure 1, the present embodiment has provided a kind of method of carrying out the decision process displaying in statistical study, comprising:
Step 1, an integrated decision process module on intellectualized analysis platform, and configuration is showed relevant all basic parameters to decision process on this decision process module;
Step 2, the database annexation between configuration intellectualized analysis platform and report data set and multidimensional analysis data acquisition, and, by the database annexation of configuration, report data set and multidimensional analysis data acquisition are associated to described decision process module;
Step 3, will show that relevant all compute classes methods are integrated into corresponding control module to decision process, and integrated control module will be directed into to described decision process module;
Step 4 is selected to carry out the required basic parameter of decision analysis, report data, multidimensional analysis data and/or control module on described decision process module, generates corresponding decision analysis report.
In the present embodiment, described step 1 also comprises: described decision process module is carried out to the front-end interface processing, generate corresponding decision process panel.All kinds of subsequent operations are all to carry out in this decision process panel, on it, the basic parameter of configuration comprises type of service, Service Brand, operational indicator, business hours, service area, account book type and user profile etc., and can increase at any time corresponding operation or basic parameter newly, as the increasing newly of configuration class, Add User, New Report etc.Therefore, on intellectualized analysis platform, the Integrated Decision process module comprises: the relevant information that will set up described decision-making module is integrated into decision process modular program bag, again the decision process modular program is wrapped and passed to the intellectualized analysis platform program directory, generate the decision process panel, its back-end data is used intellectualized analysis platform back-end data model, can obtain easily data acquisition.
In addition, the report data set in described step 2 is stored in the form of existing statistical analysis system in the heart, and it comprises the set of income class report data, the set of user class report data and customer service class data acquisition etc.And the model data set that to be multidimensional analysis use of multidimensional analysis data acquisition, OLAP is the technology ways of presentation that multidimensional analysis adopts, and comprises the financial analysis data acquisition.
Show that to decision process relevant all compute classes methods comprise data mining class computing method and pattern analysis class computing method in described step 3, described data mining class computing method comprise sorting technique, homing method, clustering method, association rules method and decision tree disposal route; Described pattern analysis class computing method comprise pie chart analytical approach, histogram analysis method and broken line graph analytical approach.In addition, relevant control that can also integrated self-defined compute classes method in described step 3, such as total, subtotal, grouping, on year-on-year basis with chain rate etc., also can openly be integrated into control and be directed into described decision process module specifically calculating.By importing corresponding control module, can make that the decision process methods of exhibiting of design has that Data Integration, chart represent, the function such as forecast analysis and analysis of causes.In addition, for the present embodiment, also designed a control module for analysis decision personnel comment, after it imports the decision process module, form corresponding comment interface, facilitate the decision-maker to be commented on, also make the decision analysis report of follow-up generation have more referential.
Generating corresponding decision analysis report in described step 4 specifically comprises: obtain page data and chart etc., import in the execl form, based on the corresponding decision analysis report of java language generation.
Based on above-mentioned four steps, can set up the applications client of carrying out accordingly the decision-making displaying.Adopt this client to analyze certain branch office's first quarter finance income report, step is as follows: select the financial analysis data acquisition in the multidimensional analysis data acquisition in the decision process panel; Type of service is dragged to the row dimension, charge type is dragged to capable dimension, this monthly income is dragged to data item; Click and increase the generation number list, click is checked and is opened assay surface; Select 201301 Start Date, the Close Date selects 201303; Select branch office, click inquiry; Right button inserts chart, in the Graphic Design frame, selects pie chart, and the selection dimension is charge type, and index is this monthly income, generates pie chart; Input conclusion and analysis result; Click and generate analysis report, flow process finishes.
As shown in Figure 2, corresponding said method, this enforcement has also proposed a kind of system of carrying out the decision process displaying in statistical study, comprises decision process module 1 and the data acquisition relating module 2 be connected with described decision process module 1, control integration module 3 and decision analysis report generation module 4:
Described decision process module 1, it is integrated on intellectualized analysis platform, for configuration thereon, to decision process, shows relevant all basic parameters;
Described data acquisition relating module 2, it is connected with described decision process module 1, for configuring the database annexation between intellectualized analysis platform and report data set and multidimensional analysis data acquisition, and, by the database annexation of configuration, report data set and multidimensional analysis data acquisition are associated to described decision process module 1;
Described control integration module 3, it is connected with described decision process module 1, for showing that relevant all compute classes methods are integrated into corresponding control module to decision process, and integrated control module is directed into to described decision process module 1;
Described decision analysis report generation module 4, it is connected with described decision process module 1, carry out the required basic parameter of decision analysis, report data, multidimensional analysis data and/or control module for what select according to described decision process module, generate corresponding decision analysis report.
Here, the control module of control integration module integration comprises data mining class control module and pattern analysis class control module; And described data mining class control module comprises sort module, regression block, cluster analysis module, correlation rule module and decision tree processing module; Described pattern analysis class control module comprises pie chart analysis module, histogram analysis module and broken line graph analysis module.
The corresponding embodiment of this system and points for attention can provide the decision process methods of exhibiting with reference to above-mentioned the present embodiment.
The foregoing is only preferred embodiment of the present invention, in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. a method of carrying out the decision process displaying in statistical study, is characterized in that, comprising:
Step 1, an integrated decision process module on intellectualized analysis platform, and configuration is showed relevant all basic parameters to decision process on this decision process module;
Step 2, the database annexation between configuration intellectualized analysis platform and report data set and multidimensional analysis data acquisition, and, by the database annexation of configuration, report data set and multidimensional analysis data acquisition are associated to described decision process module;
Step 3, will show that relevant all compute classes methods are integrated into corresponding control module to decision process, and integrated control module will be directed into to described decision process module;
Step 4 is selected to carry out the required basic parameter of decision analysis, report data, multidimensional analysis data and/or control module on described decision process module, generates corresponding decision analysis report.
2. method according to claim 1, is characterized in that, described step 1 also comprises: described decision process module is carried out to the front-end interface processing, generate corresponding decision process panel.
3. method according to claim 1, is characterized in that, the basic parameter in described step 1 comprises type of service, Service Brand, operational indicator, business hours, service area, account book type, user profile and organizational structure.
4. method according to claim 1, is characterized in that, the report data set in described step 2 comprises the set of income class report data, the set of user class report data and customer service class data acquisition; Described multidimensional analysis data acquisition comprises the financial analysis data acquisition.
5. method according to claim 1, is characterized in that, in described step 3, to decision process, shows that relevant all compute classes methods comprise data mining class computing method and pattern analysis class computing method.
6. method according to claim 5, is characterized in that, described data mining class computing method comprise sorting technique, homing method, clustering method, association rules method and decision tree disposal route; Described pattern analysis class computing method comprise pie chart analytical approach, histogram analysis method and broken line graph analytical approach.
7. a system of carrying out the decision process displaying in statistical study, is characterized in that, comprises decision process module and the data acquisition relating module be connected with described decision process module, control integration module and decision analysis report generation module:
Described decision process module, it is integrated on intellectualized analysis platform, for configuration thereon, to decision process, shows relevant all basic parameters;
Described data acquisition relating module, it is connected with described decision process module, for configuring the database annexation between intellectualized analysis platform and report data set and multidimensional analysis data acquisition, and, by the database annexation of configuration, report data set and multidimensional analysis data acquisition are associated to described decision process module;
Described control integration module, it is connected with described decision process module, for showing that relevant all compute classes methods are integrated into corresponding control module to decision process, and integrated control module is directed into to described decision process module;
Described decision analysis report generation module, it is connected with described decision process module, carry out the required basic parameter of decision analysis, report data, multidimensional analysis data and/or control module for what select according to described decision process module, generate corresponding decision analysis report.
8. system according to claim 7, is characterized in that, the described all basic parameters relevant to the decision process displaying comprise type of service, Service Brand, operational indicator, business hours, service area, account book type, user profile and organizational structure.
9. system according to claim 7, is characterized in that, described report data set comprises the set of income class report data, the set of user class report data and customer service class data acquisition; Described multidimensional analysis data acquisition comprises the financial analysis data acquisition.
10. system according to claim 7, is characterized in that, described control module comprises data mining class control module and pattern analysis class control module; And described data mining class control module comprises sort module, regression block, cluster analysis module, correlation rule module and decision tree processing module; Described pattern analysis class control module comprises pie chart analysis module, histogram analysis module and broken line graph analysis module.
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| CN109117467A (en) * | 2018-07-27 | 2019-01-01 | 广东讯飞启明科技发展有限公司 | Generation method, system, equipment and the medium of configurable dynamic data report |
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Application publication date: 20131225 |