CN102831546A - Information analysis system supporting fine customer value management of stockbroking industry - Google Patents
Information analysis system supporting fine customer value management of stockbroking industry Download PDFInfo
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- CN102831546A CN102831546A CN 201110163657 CN201110163657A CN102831546A CN 102831546 A CN102831546 A CN 102831546A CN 201110163657 CN201110163657 CN 201110163657 CN 201110163657 A CN201110163657 A CN 201110163657A CN 102831546 A CN102831546 A CN 102831546A
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Abstract
The invention relates to an information analysis system supporting the fine customer value management of the stockbroking industry. By adopting the data ETL (extracting, transforming and loading) process, the EDW comprising a large amount of data, the DDW comprising the mildly accumulated historical departmental data and meeting the needs of a certain department of the specific enterprise, the CUBE for quickly realizing upwards and downwards drilling, rotary examining by fluoroscopy and slice and block cutting and the OLAP for making the analyzer, the manager or executor to access information quickly, consistently and interactively from multiple aspects, a kind of software technology for further knowing data can be obtained. By applying the EDW, DDW and OLAP technologies comprehensively and integrating the data provided by multiple service systems of the securities company, a comprehensive data analysis system for the securities users is formed so that the customer needs, potential and service states can be known more effectively, the implementation progress and effect of various service means can be known and the customer analysis performance and the daily work efficiency of all service departments of the securities company can be improved.
Description
Technical field
The present invention designs a kind of support stock brokerage become more meticulous customer value information of managing analytic system and method
Background technology
In recent years, along with the opening of domestic securities market, stock brokerage faces the competitive industry that domestic, external fierce party strives just day by day.Promote industrial competition. pay attention to the customer value management, rely on fine-grained management to realize industrial upgrading, receive the great attention of government and industry.Support is the information infrastructure building that becomes more meticulous of target with the customer value lifting, has become the construction object that country and securities industry emphasis are supported.There has been polytype stock brokerage information analysis product in the domestic and international market at present; But there is defective in great majority: as on Design Orientation; There is not clear and definite value promotion target; Most only provide the calculating of middle man's emolument, records of performance, a spot of client based on client's simple attributes and divide etc., the information that this type systematic provides only limits to understand management performance and present situation under the existing business pattern; Aspect the lean operation planning of carrying out service optimization, the quantity of information that provides is very limited. can not satisfy the actual needs of lean operation management and lifting customer value; Aspect index system; This type systematic lacks basic data to the systematization of key message conversion and the processing that becomes more meticulous; Do not have to form the key index crowd that can express client's characteristics difference,, lack careful processing the processing of the important and complicated index of part; Can cause bigger error in data, influence the confidence level of user information that system provides; Aspect the bottom data model, most stratification modelling systems that comprise basal layer and gather layer that form. make system in robustness, extensibility and operation efficiency side and, be difficult to adapt to the needs in the service management; From data to the information Processing process aspect, the manufacturing process of employing is more single, adopts the technology such as data mining help law discovery, make key messages such as the client hives off naturally, customer churn tendency control ability a little less than.
Summary of the invention
The technical matters that the present invention will solve provides a kind of support stock brokerage become more meticulous customer value information of managing analytic system and method and method.Enforcement progress and the implementation result etc. that can understand customer demand, client's potentiality, client traffic situation and understand various service measures according to industry characteristic, thus each business department's customer analysis usefulness and routine work efficient of securities broker company improved.
Technical scheme of the present invention is achieved in that
The data that data source systems provides operation systems such as securities dealer's transaction, account, clearance; Mode with file will upload to data warehouse ODS layer; The data that are retained in the ODS layer reorganize with the pattern of subject area, set up the EDW layer, and the data structure of EDW layer is different with the data structure of operating system; Make isolated origin system change influence, thereby guaranteed data stability and extensibility analytical applications.Set up data according to the request for utilization of operation interface and gather a layer DDW layer; The DDW layer is stored in advance and is related to great amount of calculation; May influence the index of response speed; Thereby improve information response's efficient, visit the data of DDW layer, or obtain the tables of data or the view of DDW layer through interface with the WEB mode; The analyst uses the OLAP software engineering DDW layer data that obtains is carried out customer capital analysis, client trading analysis, customer value analysis, customer service statistical study, data mining, mechanism's analysis on Achievements, open-ended fund analysis, formulates general headquarters' supervision form, formulated sales department's supervision form through the system operation interface.
The invention provides a kind of support stock brokerage customer value information of managing analytical approach that becomes more meticulous, comprise following steps:
1) data source systems arrives data warehouse ODS layer with the mode of file with the data upload that operation systems such as securities dealer's transaction, account, clearance provide;
2) data that are retained in the ODS layer reorganize with the pattern of subject area, set up the EDW layer, set up data according to application requirements and gather a layer DDW layer;
3) visit the data of DDW layer with the WEB mode; Or obtaining the tables of data or the view of DDW layer through interface, the analyst uses the OLAP software engineering that the DDW layer data that obtains is carried out customer capital analysis, client trading analysis, customer value analysis, customer service statistical study, data mining, mechanism's analysis on Achievements, open-ended fund analysis, formulates general headquarters' supervision form, formulated sales department's supervision form.
The present invention also provides a kind of employing information analysis system that method produced according to claim 1, and it comprises:
The ODS module, data source systems arrives data warehouse with the mode of file with the data upload that operation systems such as securities dealer's transaction, account, clearance provide;
The DDW module is for the data that will be retained in the ODS layer reorganize the EDW module of foundation with the pattern of subject area
The system operation interface module gathers for setting up data according to application requirements, the system operation interface module of formulating according to the range of application of DDW layer data.
Wherein:
Said EDW module data structure completely cuts off the influence of origin system change to analytical applications for the data structure different with operating system to guarantee data stability and extensibility.
Described DDW module can be stored in advance and related to great amount of calculation, may influence the index of response speed, thereby has improved information response's efficient; The needs that are fit to certain department in the specific enterprise; And general star-like model or the snowflake model of adopting of this module mainly comprises fact table and dimension table, and fact table is the set of the business datum of being correlated with; It comprises metric (index) and context semantic content information (dimension and attribute); Can be used to analyze traffic item, the business transaction of business tine and business procedure, dimension table is one group of set about the descriptor of same angle information, and it comprises date dimension, mechanism's dimension, client's dimension.
Said customer capital analysis module obtains client's total assets gain and loss analysis module for the method that adopts the refinement of full enumerative technique and granularity.
Said DDW module comprises that carrying out clustering algorithm carries out the attribute assessment module and utilize the attribute assessment module of Logic Regression Models to the customer churn pre-estimation of the attribute evaluation of customer churn pre-estimation the customer priorities that customer priorities carries out the attribute evaluation.
Said system operation interface module comprises:
Customer capital analysis module, client trading analysis module, customer value analysis module, customer service statistical analysis module and data-mining module.
Said system operation interface module comprises:
Use the OLAP software engineering and DDW layer 4 data that obtain are carried out the mechanism's analysis on Achievements module and the open-ended fund analysis module of mechanism's analysis on Achievements; Wherein: this open-ended fund analysis comprises: the fund moon form-fund title, the fund moon form-fund group fund, daily sheet-sales department's fund, daily sheet-fund group fund, subscribe the rank fund day, apply to purchase the rank fund day and/or day redeem rank.
Said system operation interface module comprises:
General headquarters' supervision Reports module and sales department's supervision Reports module; Wherein, this sales department's supervision form comprises: assets profit and loss information slip, customer capital status list, account information slip, security exchange information slip and/or agency and sales product information slip.
The system operation interface module comprises also system maintaining module.
Beneficial effect of the present invention is that the present invention has realized the conversion of securities industry basic business data to client's determinant attribute data.Enforcement progress and the implementation result etc. understanding customer demand, client's potentiality, client traffic situation effectively and understand various service measures, thus each business department's customer analysis usefulness and routine work efficient of securities broker company improved.
Description of drawings
Fig. 1 is a process flow diagram of the present invention.
Embodiment
The invention provides a kind of support stock brokerage become more meticulous customer value information of managing analytic system and method.In conjunction with accompanying drawing the present invention is further described:
Specific embodiment 1:
Among Fig. 1; The data 1 that data source systems provides operation systems such as securities dealer's transaction, account, clearance will upload to data warehouse ODS layer 2 with the mode of file, and the data that are retained in the ODS layer 2 reorganize with the pattern of subject area; Set up EDW layer 3; The data structure of EDW layer 3 is different with the data structure of operating system, makes isolated origin system change the influence to analytical applications, thereby has guaranteed data stability and extensibility.Set up data according to the request for utilization of operation interface and gather a layer DDW layer 4, DDW layer 4 is stored in advance and is related to great amount of calculation, may influence the index of response speed, thereby improves information response's efficient; Visit the data of DDW layer 4 with the WEB mode, or obtain the tables of data or the view of DDW layer 4 through interface, the analyst is through the system operation interface, uses the OLAP software engineering and DDW layer 4 data that obtain are carried out customer capital analyzes 5; This customer capital analysis comprises: assets index analysis, fund index analysis, fund index analysis; Each kind market value is analyzed, total assets gain and loss analysis, principal item profit and loss component analysis; Segmentation assets statistics, fund flow into or flow out and analyze, and market value flows into or flows out and analyzes; Assets flow into or flow out and analyze, the breed structure analysis of holding position, the inquiry of personal share hoard situation; Segmentation client statistics, wherein total assets gain and loss analysis 51 is through using enumerating entirely of distinctive influence factor, the accurate metering that the method for the refinement of granularity has realized this index.
Specific embodiment 2:
Among Fig. 1; The data 1 that data source systems provides operation systems such as securities dealer's transaction, account, clearance will upload to data warehouse ODS layer 2 with the mode of file, and the data that are retained in the ODS layer 2 reorganize with the pattern of subject area; Set up EDW layer 3; The data structure of EDW layer 3 is different with the data structure of operating system, makes isolated origin system change the influence to analytical applications, thereby has guaranteed data stability and extensibility.Set up data according to the request for utilization of operation interface and gather a layer DDW layer 4, DDW layer 4 is stored in advance and is related to great amount of calculation, may influence the index of response speed; Thereby improve information response's efficient, visit the data of DDW layer 4, or obtain the tables of data or the view of DDW layer 4 through interface with the WEB mode; The analyst uses the OLAP software engineering DDW layer 4 data that obtain is carried out client trading analysis 6 through the system operation interface, and this client trading analysis comprises: the trend analysis of client's trading volume; The personal share hoard situation is analyzed, each kind trading volume component analysis, client's time all transaction size analyses; The client buys and sells net amount and analyzes client's cancellation information, and each kind commission income is analyzed, the way of bailment analysis; The client trading frequency analysis, the stock portfolio action queries.
Specific embodiment 3:
Among Fig. 1; The data 1 that data source systems provides operation systems such as securities dealer's transaction, account, clearance will upload to data warehouse ODS layer 2 with the mode of file, and the data that are retained in the ODS layer 2 reorganize with the pattern of subject area; Set up EDW layer 3; The data structure of EDW layer 3 is arranged to the data structure different with operating system, and isolated origin system changes the influence to analytical applications, thereby has guaranteed data stability and extensibility.Set up data according to the request for utilization of operation interface and gather DDW layer 4, DDW layer 4 is stored in advance and is related to great amount of calculation, may influence the index of response speed; Thereby improve information response's efficient; Visit the data of DDW layer 4 with the WEB mode, or obtain the tables of data or the view of DDW layer 4 through interface, the analyst is through the system operation interface; Use the OLAP software engineering DDW layer 4 data that obtain are carried out customer value analysis 7; This customer value analysis comprises: client's commission contribution analysis, and the customer value rank is analyzed, and the customer capital turnover rate is analyzed.
Specific embodiment 4:
Among Fig. 1; The data 1 that data source systems provides operation systems such as securities dealer's transaction, account, clearance will upload to data warehouse ODS layer 2 with the mode of file, and the data that are retained in the ODS layer 2 reorganize with the pattern of subject area; Set up EDW layer 3; The data structure of EDW layer 3 is arranged to the data structure different with operating system, and isolated origin system changes the influence to analytical applications, thereby has guaranteed data stability and extensibility.Set up data according to the request for utilization of operation interface and gather DDW layer 4, DDW layer 4 is stored in advance and is related to great amount of calculation, may influence the index of response speed; Thereby improve information response's efficient, visit the data of DDW layer 4, or obtain the tables of data or the view of DDW layer 4 through interface with the WEB mode; The analyst is through the system operation interface; Use the OLAP software engineering DDW layer 4 data that obtain are carried out customer service system analysis 8, this customer service system analysis comprises: finance product service history record, sales department's integration statistics; Finance product is subscribed to and the service scenario statistics, average daily customer capital situation analysis.
Specific embodiment 5:
Among Fig. 1; The data 1 that data source systems provides operation systems such as securities dealer's transaction, account, clearance will upload to data warehouse ODS layer 2 with the mode of file, and the data that are retained in the ODS layer 2 reorganize with the pattern of subject area; Set up EDW layer 3; The data structure of EDW layer 3 is arranged to the data structure different with operating system, and isolated origin system changes the influence to analytical applications, thereby has guaranteed data stability and extensibility.Set up data according to the request for utilization of operation interface and gather DDW layer 4, DDW layer 4 is stored in advance and is related to great amount of calculation, may influence the index of response speed; Thereby improve information response's efficient, visit the data of DDW layer 4, or obtain the tables of data or the view of DDW layer 4 through interface with the WEB mode; The analyst is through the system operation interface; Use the OLAP software engineering DDW layer 4 data that obtain are carried out data mining analysis 9, this data mining analysis comprises: Customer Churn's Analysis, the comprehensive preference analysis of client; Client's behavior preference analysis; Each the colony's migration of the comprehensive preference of client is wherein carried out the attribute evaluation through clustering algorithm to customer priorities, and Logic Regression Models is evaluated customer churn pre-estimation attribute.
Specific embodiment 6:
Among Fig. 1; The data 1 that data source systems provides operation systems such as securities dealer's transaction, account, clearance will upload to data warehouse ODS layer 2 with the mode of file, and the data that are retained in the ODS layer 2 reorganize with the pattern of subject area; Set up EDW layer 3; The data structure of EDW layer 3 is arranged to the data structure different with operating system, and isolated origin system changes the influence to analytical applications, thereby has guaranteed data stability and extensibility.Set up data according to the request for utilization of operation interface and gather DDW layer 4, DDW layer 4 is stored in advance and is related to great amount of calculation, may influence the index of response speed; Thereby improve information response's efficient, visit the data of DDW layer 4, or obtain the tables of data or the view of DDW layer 4 through interface with the WEB mode; The analyst uses the OLAP software engineering DDW layer 4 data that obtain is carried out mechanism's analysis on Achievements 10 through the system operation interface, and this mechanism's analysis on Achievements comprises: average daily customer capital situation analysis; The security exchange situation analysis divides each certificate kind end of term market value of account to analyze, client's subscription and unsubscription situation moon form; Client's subscription and unsubscription situation daily sheet, new account situation statistics, channel is worth contribution analysis; Divide the analysis of certificate kind dealing direction, the online transaction monthly magazine.
Specific embodiment 7:
Among Fig. 1; The data 1 that data source systems provides operation systems such as securities dealer's transaction, account, clearance will upload to data warehouse ODS layer 2 with the mode of file, and the data that are retained in the ODS layer 2 reorganize with the pattern of subject area; Set up EDW layer 3; The data structure of EDW layer 3 is arranged to the data structure different with operating system, and isolated origin system changes the influence to analytical applications, thereby has guaranteed data stability and extensibility.Set up data according to the request for utilization of operation interface and gather DDW layer 4, DDW layer 4 is stored in advance and is related to great amount of calculation, may influence the index of response speed; Thereby improve information response's efficient, visit the data of DDW layer 4, or obtain the tables of data or the view of DDW layer 4 through interface with the WEB mode; The analyst is through the system operation interface, uses the OLAP software engineering and DDW layer 4 data that obtain are carried out open-ended fund analyzes 11, and this open-ended fund analysis comprises: the fund moon form-fund title; The fund moon form-fund group fund; Daily sheet-sales department's fund, daily sheet-fund group fund, day is subscribed the rank fund; Day is applied to purchase the rank fund, day redemption rank.
Specific embodiment 8:
Among Fig. 1; The data 1 that data source systems provides operation systems such as securities dealer's transaction, account, clearance will upload to data warehouse ODS layer 2 with the mode of file, and the data that are retained in the ODS layer 2 reorganize with the pattern of subject area; Set up EDW layer 3; The data structure of EDW layer 3 is arranged to the data structure different with operating system, and isolated origin system changes the influence to analytical applications, thereby has guaranteed data stability and extensibility.Set up data according to the request for utilization of operation interface and gather DDW layer 4; DDW layer 4 is stored in advance and is related to great amount of calculation, may influence the index of response speed, thereby improves information response's efficient; Visit the data of DDW layer 4 with the WEB mode; Or obtaining the tables of data or the view of DDW layer 4 through interface, the analyst uses the DDW layer 4 data creating general headquarters supervision report 12 of OLAP software engineering to obtaining through the system operation interface; This general headquarters' supervision report comprises: fund and the brokerage supervision form of opening an account; The brokerage supervision form of transaction, the brokerage supervision form of other substitute services, the special supervision of the relevant informations such as seat of service particular organization or product form.
Specific embodiment 9:
Among Fig. 1; The data 1 that data source systems provides operation systems such as securities dealer's transaction, account, clearance will upload to data warehouse ODS layer 2 with the mode of file, and the data that are retained in the ODS layer 2 reorganize with the pattern of subject area; Set up EDW layer 3; The data structure of EDW layer 3 is arranged to the data structure different with operating system, and isolated origin system changes the influence to analytical applications, thereby has guaranteed data stability and extensibility.Set up data according to the request for utilization of operation interface and gather DDW layer 4, DDW layer 4 is stored in advance and is related to great amount of calculation, may influence the index of response speed; Thereby improve information response's efficient, visit the data of DDW layer 4, or obtain the tables of data or the view of DDW layer 4 through interface with the WEB mode; The analyst uses the DDW layer 4 data creating sales department supervision form 13 of OLAP software engineering to obtaining through the system operation interface, and this sales department's supervision form comprises: assets profit and loss information slip; The customer capital status list; The account information slip, security exchange information slip, agency and sales product information slip.
The support stock brokerage of the present invention customer value information of managing analytic system that becomes more meticulous; Comprise ETL data pick-up, conversion, process of loading, contain a large amount of detailed data EDW, comprise slight accumulative total, historical division data; Be fit to certain department in the specific enterprise needs can realize fast boring down bore, the DDWCUBE of operations such as rotation perspective, section, stripping and slicing and make analyst, managerial personnel or operational staff can from multi-angle to information carry out fast, unanimity, alternatively access, thereby acquisition is to the OLAP of one type of software engineering of more understanding in depth of data.Comprise: Assets Analyst, transaction analysis, customer value analysis, customer service statistical study, data mining analysis, mechanism's analysis on Achievements, open-ended fund analysis, general headquarters' supervision form, sales department's supervision form and system maintenance.Integrated use of the present invention several relevant gordian techniquies of business intelligence: ETL, ETL are data pick-up, conversion, process of loading; EDW contains a large amount of detailed data, and these data have not malleable property and towards history; DDW comprises slight accumulative total, historical division data, is fit to the needs of certain department in the specific enterprise; CUBE can realize fast boring down and bore, rotates operations such as perspective, section, stripping and slicing; OLAP, make analyst, managerial personnel or operational staff can from multi-angle to information carry out fast, consistent, alternatively access, thereby obtain one type of software engineering of more understanding in depth to data.The main effect of this system is to assist financing portion of securities broker company and sales department through the various technological means relevant with business intelligence; Enforcement progress and the implementation result etc. more effectively understanding customer demand, client's potentiality, client traffic situation and understand various service measures, thus each business department's customer analysis usefulness and routine work efficient of securities broker company improved.
Claims (10)
1. support the stock brokerage customer value information of managing analytical approach that becomes more meticulous for one kind, it is characterized in that said method comprises following steps:
1) data source systems arrives data warehouse ODS layer with the mode of file with the data upload that operation systems such as securities dealer's transaction, account, clearance provide;
2) data that are retained in the ODS layer reorganize with the pattern of subject area, set up the EDW layer, set up data according to application requirements and gather a layer DDW layer;
3) visit the data of DDW layer with the WEB mode; Or obtaining the tables of data or the view of DDW layer through interface, the analyst uses the OLAP software engineering that the DDW layer data that obtains is carried out customer capital analysis, client trading analysis, customer value analysis, customer service statistical study, data mining, mechanism's analysis on Achievements, open-ended fund analysis, formulates general headquarters' supervision form, formulated sales department's supervision form.
2. one kind is adopted the information analysis system that method produced according to claim 1, it is characterized in that it comprises:
The ODS module, data source systems arrives data warehouse with the mode of file with the data upload that operation systems such as securities dealer's transaction, account, clearance provide;
The DDW module is for the data that will be retained in the ODS layer reorganize the EDW module of foundation with the pattern of subject area
The system operation interface module gathers for setting up data according to application requirements, the system operation interface module of formulating according to the range of application of DDW layer data.
3. information analysis system according to claim 2 is characterized in that:
Said EDW module data structure completely cuts off the influence of origin system change to analytical applications for the data structure different with operating system to guarantee data stability and extensibility.
4. information analysis system according to claim 2 is characterized in that:
Described DDW module can be stored in advance and related to great amount of calculation, may influence the index of response speed, thereby has improved information response's efficient; The needs that are fit to certain department in the specific enterprise; And general star-like model or the snowflake model of adopting of this module mainly comprises fact table and dimension table, and fact table is the set of the business datum of being correlated with; It comprises metric (index) and context semantic content information (dimension and attribute); Can be used to analyze traffic item, the business transaction of business tine and business procedure, dimension table is one group of set about the descriptor of same angle information, and it comprises date dimension, mechanism's dimension, client's dimension.
5. information analysis system according to claim 2 is characterized in that:
Said customer capital analysis module obtains client's total assets gain and loss analysis module for the method that adopts the refinement of full enumerative technique and granularity.
6. information analysis system according to claim 2 is characterized in that:
Said DDW module comprises that carrying out clustering algorithm carries out the attribute assessment module and utilize the attribute assessment module of Logic Regression Models to the customer churn pre-estimation of the attribute evaluation of customer churn pre-estimation the customer priorities that customer priorities carries out the attribute evaluation.
7. information analysis system according to claim 2 is characterized in that, said system operation interface module comprises:
Customer capital analysis module, client trading analysis module, customer value analysis module, customer service statistical analysis module and data-mining module.
8. information analysis system according to claim 2 is characterized in that, said system operation interface module comprises:
Use the OLAP software engineering and the DDW layer data that obtains is carried out the mechanism's analysis on Achievements module and the open-ended fund analysis module of mechanism's analysis on Achievements;
Wherein: this open-ended fund analysis comprises: the fund moon form-fund title, the fund moon form-fund group fund, daily sheet-sales department's fund, daily sheet-fund group fund, subscribe the rank fund day, apply to purchase the rank fund day and/or day redeem rank.
9. information analysis system according to claim 2 is characterized in that, said system operation interface module comprises:
General headquarters' supervision Reports module and sales department's supervision Reports module;
Wherein, this sales department's supervision form comprises: assets profit and loss information slip, customer capital status list, account information slip, security exchange information slip and/or agency and sales product information slip.
10. information analysis system according to claim 2 is characterized in that, the system operation interface module comprises:
System maintaining module.
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| CN 201110163657 CN102831546A (en) | 2011-06-17 | 2011-06-17 | Information analysis system supporting fine customer value management of stockbroking industry |
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| CN 201110163657 CN102831546A (en) | 2011-06-17 | 2011-06-17 | Information analysis system supporting fine customer value management of stockbroking industry |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104077719A (en) * | 2014-07-08 | 2014-10-01 | 国家电网公司 | Electric power payment branch value analyzing system |
| CN104462082A (en) * | 2013-09-12 | 2015-03-25 | 深圳中科金证科技有限公司 | Data warehouse based medical data integration method and system |
| CN105183842A (en) * | 2015-09-07 | 2015-12-23 | 普联软件股份有限公司 | OTA related query system and method |
| CN105303444A (en) * | 2015-10-10 | 2016-02-03 | 苏州工业园区凌志软件股份有限公司 | Automatic adaption system for financial products |
| CN107203822A (en) * | 2016-03-16 | 2017-09-26 | 上海吉贝克信息技术有限公司 | Method and system based on the Logistic security customers attrition predictions returned |
| CN108648080A (en) * | 2018-05-03 | 2018-10-12 | 龙锋智能科技（福建）有限公司 | A kind of transaction display method, device, medium and the equipment of fund product |
| CN110334088A (en) * | 2019-07-11 | 2019-10-15 | 江苏曲速教育科技有限公司 | Educational data management system |
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2011
- 2011-06-17 CN CN 201110163657 patent/CN102831546A/en active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104462082A (en) * | 2013-09-12 | 2015-03-25 | 深圳中科金证科技有限公司 | Data warehouse based medical data integration method and system |
| CN104462082B (en) * | 2013-09-12 | 2017-11-17 | 深圳中科金证科技有限公司 | A kind of medical data integration method and system based on data warehouse |
| CN104077719A (en) * | 2014-07-08 | 2014-10-01 | 国家电网公司 | Electric power payment branch value analyzing system |
| CN105183842A (en) * | 2015-09-07 | 2015-12-23 | 普联软件股份有限公司 | OTA related query system and method |
| CN105303444A (en) * | 2015-10-10 | 2016-02-03 | 苏州工业园区凌志软件股份有限公司 | Automatic adaption system for financial products |
| CN107203822A (en) * | 2016-03-16 | 2017-09-26 | 上海吉贝克信息技术有限公司 | Method and system based on the Logistic security customers attrition predictions returned |
| CN108648080A (en) * | 2018-05-03 | 2018-10-12 | 龙锋智能科技（福建）有限公司 | A kind of transaction display method, device, medium and the equipment of fund product |
| CN110334088A (en) * | 2019-07-11 | 2019-10-15 | 江苏曲速教育科技有限公司 | Educational data management system |
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Application publication date: 20121219 |