CN101710412A - Method and system for processing quota data - Google Patents
Method and system for processing quota data Download PDFInfo
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- CN101710412A CN101710412A CN200910204563A CN200910204563A CN101710412A CN 101710412 A CN101710412 A CN 101710412A CN 200910204563 A CN200910204563 A CN 200910204563A CN 200910204563 A CN200910204563 A CN 200910204563A CN 101710412 A CN101710412 A CN 101710412A
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Abstract
The invention discloses a method for processing quota data, comprising the steps of: typing in a customer credit message and a credit line data to a customer quota table via a typing in unit, acquiring the customer credit message and the customer credit line data from the customer quota table via an acquiring unit, and processing the quota data of customer via a processing unit according to the customer credit message, the customer credit line data and the quota requirement. The invention further discloses a system for processing quota data. The invention has high accuracy for processing quota and high work efficiency in order to improve customer experience by realizing quota data distribution, quota data regulation or quota data draw in the manner of electronization.
Description
Technical field
The present invention relates to the bank data process field, relate in particular to a kind of disposal route and system of quota data.
Background technology
The amount credit is meant that bank appraises and decides the accrediting amount to qualified client, and in the amount term of validity, the client can repeatedly use the one or more credit products of bank.The target of carrying out the amount credit has three: the one, avert risks, and bank can not be too concentrated to single client's credit, and a degree should be arranged, and this " degree " restriction bank is to this client's credit total amount; The 2nd, raise the efficiency, for different credit clients, in determining the accrediting amount, simplify the procedures of approval to some extent, simplify until handling row and can independently offer loans (in the amount still must except the authority declaration), needn't every all declaration of providing a loan; The 3rd, improve competitiveness, the client is made the commit oneself of the accrediting amount, the cooperation of bank and top-tier customer helps to cultivate bank client colony closely, establishes the favorable image of bank.Amount credit management is that the operating position of customer credit line that various credit products are related to is monitored, adds up, analyzed and dynamically adjusts in good time.Amount credit administrative relationships all are one of emphasis of bank finance management to the efficient of the recovery and the utilization of bank capital for a long time.
At client's amount credit management, by hand business is carried out quota data distribution, quota data adjustment or quota data by operating personnel and draw at present, it is not high that quota data is handled the accuracy of operation, inefficiency, thus cause customer experience poor.
Summary of the invention
Technical matters to be solved by this invention is, a kind of quota data disposal route and system are provided, have realized that by electronic mode quota data distributes, quota data is adjusted or quota data is drawn, quota data is handled the accuracy rate height of operation, high efficiency, thus customer experience improved.
In order to solve the problems of the technologies described above, the invention provides a kind of disposal route of quota data, it comprises:
Typing unit typing client credit information and client's accrediting amount data are in the customer credit line table;
Acquiring unit obtains described client's credit information and described client's accrediting amount data from described customer credit line table;
According to described client's credit information, described client's accrediting amount data and client's amount needs, described client's accrediting amount data are carried out quota data handle operation.
Correspondingly, the present invention also provides a kind of disposal system of quota data, and it comprises:
The typing unit, the accrediting amount data that are used for typing client credit information and client are to the customer credit line table;
Acquiring unit is used for obtaining from described customer credit line table described client's credit information and described client's accrediting amount data;
Processing unit is used for according to described client's credit information, described client's accrediting amount data and client's amount needs, described client's accrediting amount data is carried out quota data handle operation.
Implement the present invention, accrediting amount data by typing client credit information and client are in the customer credit line table, from described customer credit line table, obtain described client's credit information and described client's accrediting amount data, according to described client's credit information, described client's accrediting amount data and client's amount need, described client's accrediting amount data are carried out amount handle operation, realize that in electronic mode quota data distributes, quota data is adjusted or quota data is drawn, quota data is handled the accuracy rate height of operation, high efficiency, thus customer experience improved.
Description of drawings
Fig. 1 is the process flow synoptic diagram of quota data of the present invention;
Fig. 2 is the management structure synoptic diagram of quota data of the present invention;
Fig. 3 is that the disposal system of quota data of the present invention is formed synoptic diagram;
Fig. 4 is that processing unit is formed synoptic diagram for first kind in the disposal system of quota data of the present invention;
Fig. 5 is that processing unit is formed synoptic diagram for second kind in the disposal system of quota data of the present invention;
Fig. 6 be in the disposal system of quota data of the present invention processing unit the third form synoptic diagram.
Embodiment
For the purpose, technical scheme and the advantage that make the embodiment of the invention is clearer,, the technical scheme in the embodiment of the invention is clearly and completely described below in conjunction with accompanying drawing.
With reference to figure 1, illustrate the disposal route of quota data of the present invention, the disposal route of described quota data comprises:
101, typing unit typing client credit information and client's accrediting amount data are in client's dimension table.
102, acquiring unit obtains described client's credit information and described client's accrediting amount data from described client's dimension table.
103, processing unit carries out quota data to described client's accrediting amount data and handles operation according to described client's credit information, described client's accrediting amount data and client's amount needs.
Described quota data is handled operation and comprised: quota data distributes, quota data is adjusted or quota data is drawn.
Processing unit is according to described client's credit information, client's accrediting amount data and client's amount needs, described client's accrediting amount data are carried out the amount processing to be operating as: judge whether described client's credit information of obtaining is credit again, if the judgment is Yes, then make old accrediting amount data failure, the occupying volume degrees of data of computing client specified node then, and based on the occupying volume degrees of data of described client's specified node, with described client's accrediting amount data allocations to described client's specified node; If the judgment is No, the occupying volume degrees of data of computing client specified node then, and based on the occupying volume degrees of data of described client's specified node, with described client's accrediting amount data allocations to described client's specified node.For example: the old accrediting amount data of credit client are 5,000,000,000, now giving new accrediting amount data of credit client is 10,000,000,000, at first processing unit makes old 5,000,000,000 accrediting amount data failure, and make old 5,000,000,000 the relevant distribution of accrediting amount data, adjustment flowing water lost efficacy, and then new 10,000,000,000 accrediting amount data are come into force, after accrediting amount data when new 10,000,000,000 come into force, because old 5,000,000,000 the accrediting amount data allocations or the flowing water of adjusting lost efficacy, cause the occupying volume degrees of data of Related product to transfinite, so system can be according to taking situation, the accrediting amount data allocations with new 10,000,000,000 or adjust on these products.
In use to quota data, the available quota data of computing client specified node, when the available quota data of described client's specified node during less than the transaction limit data of described client's specified node, to selecting node application quota data, judge whether described selection node is father's node or grandfather's node of described client's specified node, if the judgment is Yes, then give described client's specified node from described selection node allocation degrees of data; If the judgment is No, then adjust quota data to described client's specified node from described selection node.
When the client need draw quota data, the available quota data of counting yield node, and whether the available quota data of judging described product node greater than the transaction limit data of described product node, if the judgment is Yes, the typing quota data information of drawing then; If the judgment is No, whether the transaction limit data of then judging described product node are greater than the summation of the available quota data of described product node unallotted apportionment degrees of data and described product node place branch, if the judgment is Yes, then adjust quota data in lines to described product node place, if the judgment is No, then to described product node place branch allocation degrees of data.
Needing to carry out quota data in the above-mentioned amount processing procedure and calculate, is example with A bank below, describes the calculation process of quota data in detail.
A bank is divided into letter department, product service class, product, uses letter branch four-layer structure.Wherein, be meant bank when carrying out business contact with other financial institutions with letter department, bank is the department that controls risk and set up.Described four-layer structure as shown in Figure 2, set up with letter department, product service class, product, used letter branch at the processing of quota data among Fig. 2, after institution business portion among the figure obtains client's credit information of risk management portion, institution business part quota degrees of data is used letter department to each, after acquisition institution business portion of letter department credit information, according to client's amount needs, to product class, product, usefulness letter branch allocation degrees of data.Institution business portion also can adjust and use quota data according to each quota data operating position with letter department, makes full use of so that client's accrediting amount data reach.
A bank needs to gather the transaction limit data of each peripheral system for the quota data processing needs, and according to the transaction limit data acquisition exchange rate quota data of gathering, and the quota data of concluding the business according to client's credit information calculations takies.Be that processing unit passes through to extract conversion and loads that (Extract Transform Load, ETL) instrument calculates quota data effectively herein.Whole credit management system (Credit Limit ManagementSystem, quota data statistical computation hierarchical relationship CLMS) are divided into quota data fairground layer, quota data statistical computation layer and three levels of quota data resultant layer (quota data takies):
Quota data fairground layer: be a star-like framework, mainly comprise three dimension tables and a transaction limit data fact table, comprise in the described transaction limit data fact table: transaction branch information, customer information, product information and amount information.Three dimension tables comprise: client's dimension table, product dimension table, product service class dimension table.Comprise information such as Customer ID and customer name in described client's dimension table, comprise information such as product IDs and name of product in the described product dimension table, comprise information such as product service class ID and product service class title in the described product service class dimension table.
Quota data statistical computation layer: calculate quota data according to statistical rules and take.
Quota data resultant layer: take according to gathering the quota data that demand gathers out.
It is as follows that quota data takies calculation process:
1, extracts CLMS transaction limit data in transaction limit data fact table.
2, handle four-layer structure according to quota data, successively gather with letter department, product class, product, take situation with letter quota data in lines.For example: " funds transaction " " investment in bonds " and " due from bank " two product tradings down under the portion of financial market have been done by A bank Shanghai branch and B bank, and its quota data is respectively 100,000,000 and 200,000,000.A bank is 10,000,000,000 to total accrediting amount data of B bank, and the quota data of distributing to " funds transaction " is 2,000,000,000.So, A bank Shanghai branch is in 10,000,000,000 to the accrediting amount data of B bank, has 2,000,000,000 quota data to be assigned on " funds transaction ", and unappropriated quota data is 8,000,000,000.On quota data took, " investment in bonds " (Shanghai branch) and " due from bank " (Shanghai branch) had taken 100,000,000 and 200,000,000 respectively, with bottom-up form, upwards gather layer by layer then, and then " funds transaction " takies 300,000,000.
3, take result of calculation and quota data credit information according to quota data, the transaction summarized results is calculated by the exchange rate on Dagri same day under credit Currency Type and the client CLPM credit.Take calculating by quota data and realize different Currency Type transaction limit data of the same client of A bank and accrediting amount serial data usefulness, this quota data string calculates quota data by exchange rate conversion and takies with being meant when credit Currency Type and transaction Currency Type are inconsistent.
4, the quota data summarized results after the conversion imports in the quota data management general ledger sheet, and described quota data management general ledger sheet comprises: credit ID, accrediting amount data, customer information, Currency Type information, occupying volume degrees of data information, unallotted apportionment degrees of data information.
Providing a concrete example below is described in detail the quota data disposal route.
The typing unit typing first client's of C bank credit information and accrediting amount data, acquiring unit obtains first client's credit information and accrediting amount data, processing unit carries out quota data to first client's accrediting amount data and handles operation according to first client credit information, first client's accrediting amount data and first client's amount needs.According to first client's credit information, determine that this first client's credit information of obtaining is credit again, the old accrediting amount data of this first client are given in this C bank credit of losing efficacy.The structure of this C bank is:
C bank-＞institution business portion-＞discounted note-＞silver-colored ticket directly pastes-＞Shanghai branch
-＞Beijing branch
-＞silver-colored ticket commentaries on classics subsides-＞Beijing branch
-＞financial market portion-＞funds transaction-＞due from bank-＞Shenzhen branch
C bank is that the quota data that the first client newly criticizes is 10,000,000,000, by the CLMS typing, on " C bank " node this quota data of 10,000,000,000 is come into force by institution business portion.Need 1,000,000,000 and 2,000,000,000 quota data to carry out the transaction of " bank directly pastes " respectively when Shanghai of institution business portion branch and Beijing branch, Beijing needs 1,500,000,000 silver-colored ticket to change when pasting quota data in lines, then by institution business portion the quota data of 10,000,000,000 under " C bank " is distributed to:
" institution business portion-＞discounted note-＞silver-colored ticket directly pastes-＞Shanghai branch " 1,000,000,000;
" institution business portion-＞discounted note-＞silver-colored ticket directly pastes-＞Beijing branch " 2,000,000,000;
" institution business portion-＞discounted note-＞silver-colored ticket commentaries on classics subsides-＞Shenzhen branch " 1,500,000,000;
At this moment, 10,000,000,000 the quota data of " C bank " also remains 5,500,000,000 available quota data.
And when the financial market portion of Shenzhen branch wants to carry out " due from bank " transaction of one 1,000,000,000 yuan with C bank, because this node does not have quota data, so initiate application to institution business portion, require to adjust 1,000,000,000 quota data from other department.Through institution business portion examine by after, by institution business portion by CLMS from C bank " institution business portion-＞discounted note-＞silver-colored ticket directly pastes-＞Beijing branch " node adjust 1,000,000,000 quota data give " financial market portion-＞funds transaction-＞due from bank-＞Shenzhen branch ".At this moment, " institution business portion-＞discounted note-＞silver-colored ticket directly pastes-＞Beijing branch " 2,000,000,000 quota data in, also remain 1,000,000,000 available quota data." financial market portion-＞funds transaction-＞due from bank-＞Shenzhen branch " next 1,000,000,000 adjustment quota data arranged.
Carry out " silver-colored ticket directly pastes " transaction in lines in Shanghai before, earlier carry out quota data and draw, suppose that dealing money is 500,000,000 by CLMS, then draw " discounted note-＞silver-colored ticket directly pastes-＞Shanghai in lines " quota data of node 500,000,000.At this moment, " discounted note-＞silver-colored ticket directly pastes-＞Shanghai branch " 1,000,000,000 quota data in, taken 500,000,000 quota data, remaining 500,000,000 quota data can use.
With reference to figure 3, the disposal system that shows quota data of the present invention is formed, and the disposal system of described quota data comprises:
Acquiring unit 302 is used for the accrediting amount data that described client's dimension table obtains described client's credit information and described client.
Described quota data is handled operation and comprised: quota data distributes, quota data is adjusted or quota data is drawn.
Described processing unit 303 has three kinds of embodiment, with reference to figure 4, shows first kind of composition of processing unit in the quota data disposal system of the present invention, and described processing unit 303 comprises:
Judging unit 3031a is used to judge whether described client's credit information of obtaining is credit again.
If the judgment is Yes, then make old accrediting amount data failure, the occupying volume degrees of data of computing client specified node then, and based on the occupying volume degrees of data of described node, with described client's accrediting amount data allocations to described node; If the judgment is No, the occupying volume degrees of data of computing node then, and based on the occupying volume degrees of data of described node, with described client's accrediting amount data allocations to described node.
With reference to figure 5, show second kind of composition of processing unit in the quota data disposal system of the present invention, described processing unit 303 comprises:
Judging unit 3031b, the available quota data that is used for the computing client specified node, when the available quota data of described node during,, judge whether described selection node is father's node or grandfather's node of described node to selecting node application quota data less than the transaction limit data of described node.
If the judgment is Yes, then give described node from described selection node allocation degrees of data; If the judgment is No, then adjust quota data to described node from described selection node.
With reference to figure 6, show the third composition of processing unit in the quota data disposal system of the present invention, described processing unit 303 comprises:
Judging unit 3031c is used for the available quota data of counting yield node, and whether the available quota data of judging described product node is greater than the transaction limit data of described product node.
If the judgment is Yes, the typing quota data information of drawing then; If the judgment is No, whether the transaction limit data of then judging described product node are greater than the summation of the available quota data of described product node unallotted apportionment degrees of data and described product node place branch, if the judgment is Yes, then adjust quota data in lines to described product node place, if the judgment is No, then to described product node place branch allocation degrees of data.
Through the above description of the embodiments, the those skilled in the art can be well understood to the present invention and can realize by the mode of software in conjunction with essential general hardware platform, can certainly pass through hardware, but the former is better embodiment under a lot of situation.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words can embody with the form of software product, this computer software product is stored in the storage medium that can read, floppy disk as computing machine, hard disk or CD etc., comprise some instructions with so that computer equipment (can be personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the present invention.
Implement the embodiment of the invention, accrediting amount data by typing client credit information and client are in the customer credit line tables of data, from described customer credit line tables of data, obtain described client's credit information and described client's accrediting amount data, according to described client's credit information, described client's accrediting amount data and client's amount need, described client's accrediting amount data are carried out quota data handle operation, realize that in electronic mode quota data distributes, quota data is adjusted or quota data is drawn, quota data is handled the accuracy rate height of operation, high efficiency, thus customer experience improved.
Above disclosed is preferred embodiment of the present invention only, can not limit the present invention's interest field certainly with this, and therefore the equivalent variations of doing according to claim of the present invention still belongs to the scope that the present invention is contained.
Claims (10)
1. the disposal route of a quota data is characterized in that, the treating method comprises:
Typing unit typing client credit information and client's accrediting amount data are in the customer credit line table;
Acquiring unit obtains described client's credit information and described client's accrediting amount data from described customer credit line table;
Processing unit carries out quota data to described client's accrediting amount data and handles operation according to described client's credit information, described client's accrediting amount data and client's amount needs.
2. method according to claim 1 is characterized in that, described quota data is handled operation and comprised:
Quota data distributes, quota data is adjusted or quota data is drawn.
3. method according to claim 1 and 2 is characterized in that, processing unit carries out the quota data processing to described client's accrediting amount data and is operating as according to described client's credit information, client's accrediting amount data and client's amount needs:
Judge whether described client's credit information of obtaining is credit again, if the judgment is Yes, then make old accrediting amount data failure, the occupying volume degrees of data of computing client specified node then, and based on the occupying volume degrees of data of described client's specified node, with described client's accrediting amount data allocations to described client's specified node;
If the judgment is No, then calculate the occupying volume degrees of data of described client's specified node, and based on the occupying volume degrees of data of described client's specified node, with described client's accrediting amount data allocations to described client's specified node.
4. method according to claim 1 and 2 is characterized in that, processing unit carries out the quota data processing to described client's accrediting amount data and is operating as according to described client's credit information, client's accrediting amount data and client's amount needs:
The available quota data of computing client specified node, when the available quota data of described client's specified node during less than the transaction limit data of described client's specified node, to selecting node application quota data, judge whether described selection node is father's node or grandfather's node of described client's specified node, if the judgment is Yes, then give described client's specified node from described selection node allocation degrees of data; If the judgment is No, then adjust quota data to described client's specified node from described selection node.
5. method according to claim 1 and 2 is characterized in that, according to described client's credit information, client's accrediting amount data and client's amount needs, described client's accrediting amount data is carried out the quota data processing be operating as:
The available quota data of counting yield node, and whether the available quota data of judging described product node greater than the transaction limit data of described product node, if the judgment is Yes, the typing quota data information of drawing then;
If the judgment is No, whether the transaction limit data of then judging described product node are greater than the summation of the available quota data of described product node unallotted apportionment degrees of data and described product node place branch, if, then adjust quota data in lines to described product node place, if not, then to described product node place branch allocation degrees of data.
6. the disposal system of a quota data is characterized in that, described disposal system comprises:
The typing unit, the accrediting amount data that are used for typing client credit information and client are to the customer credit line table;
Acquiring unit is used for obtaining from described customer credit line table described client's credit information and described client's accrediting amount data;
Processing unit is used for according to described client's credit information, described client's accrediting amount data and client's amount needs, described client's accrediting amount data is carried out quota data handle operation.
7. system according to claim 6 is characterized in that, described quota data is handled operation and comprised:
Quota data distributes, quota data is adjusted or quota data is drawn.
8. according to claim 6 or 7 described systems, it is characterized in that described processing unit comprises:
Judging unit is used to judge whether described client's credit information of obtaining is credit again;
The processing execution unit is used to be achieved as follows function:
If the judgment is Yes, then make old accrediting amount data failure, the occupying volume degrees of data of computing client specified node then, and based on the occupying volume degrees of data of described client's specified node, with described client's accrediting amount data allocations to described client's specified node; If the judgment is No, then calculate the occupying volume degrees of data of described client's specified node, and based on the occupying volume degrees of data of described client's specified node, with described client's accrediting amount data allocations to described client's specified node.
9. according to claim 6 or 7 described systems, it is characterized in that described processing unit comprises:
Judging unit, the available quota data that is used for the computing client specified node, when the available quota data of described node during less than the transaction limit data of described client's specified node, to selecting node application quota data, judge whether described selection node is father's node or grandfather's node of described client's specified node;
The processing execution unit is used to be achieved as follows function:
If the judgment is Yes, then give described client's specified node from described selection node allocation degrees of data; If the judgment is No, then adjust quota data to described client's specified node from described selection node.
10. according to claim 6 or 7 described systems, it is characterized in that described processing unit comprises:
Judging unit is used for the available quota data of counting yield node, and whether the available quota data of judging described product node is greater than the transaction limit data of described product node;
The processing execution unit is used to be achieved as follows function:
If the judgment is Yes, the typing quota data information of drawing then; If the judgment is No, whether the transaction limit data of then judging described product node are greater than the summation of the available quota data of described product node unallotted apportionment degrees of data and described product node place branch, if judge be, then adjust quota data in lines to described product node place, if judge not, then to described product node place branch allocation degrees of data.
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|---|---|---|---|
| CN200910204563A CN101710412A (en) | 2009-12-01 | 2009-12-01 | Method and system for processing quota data |
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| CN200910204563A CN101710412A (en) | 2009-12-01 | 2009-12-01 | Method and system for processing quota data |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103164753A (en) * | 2011-12-08 | 2013-06-19 | 荣成纸业股份有限公司 | Customer transaction data management system |
| CN104331830A (en) * | 2014-11-07 | 2015-02-04 | 山东中创软件工程股份有限公司 | Construction method and platform of limit managing system |
| CN104881921A (en) * | 2011-05-11 | 2015-09-02 | 冲电气工业株式会社 | Automated transaction apparatus |
| CN107679983A (en) * | 2017-10-20 | 2018-02-09 | 京北方信息技术股份有限公司 | Amount tree constructing method and device, amount take route inspection method and apparatus |
| CN109767129A (en) * | 2019-01-15 | 2019-05-17 | 蔷薇智慧科技有限公司 | A kind of line of credit control method and device |
| CN110310198A (en) * | 2019-06-21 | 2019-10-08 | 深圳前海微众银行股份有限公司 | Management method, device, equipment and the readable storage medium storing program for executing of enterprise's amount information |
| CN110335033A (en) * | 2019-07-09 | 2019-10-15 | 中国工商银行股份有限公司 | Limit processing method and system |
| CN111353876A (en) * | 2020-03-31 | 2020-06-30 | 中国建设银行股份有限公司 | Quota allocation method, device, equipment and storage medium |
-
2009
- 2009-12-01 CN CN200910204563A patent/CN101710412A/en active Pending
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104881921A (en) * | 2011-05-11 | 2015-09-02 | 冲电气工业株式会社 | Automated transaction apparatus |
| CN103164753A (en) * | 2011-12-08 | 2013-06-19 | 荣成纸业股份有限公司 | Customer transaction data management system |
| CN104331830A (en) * | 2014-11-07 | 2015-02-04 | 山东中创软件工程股份有限公司 | Construction method and platform of limit managing system |
| CN107679983A (en) * | 2017-10-20 | 2018-02-09 | 京北方信息技术股份有限公司 | Amount tree constructing method and device, amount take route inspection method and apparatus |
| CN109767129A (en) * | 2019-01-15 | 2019-05-17 | 蔷薇智慧科技有限公司 | A kind of line of credit control method and device |
| CN109767129B (en) * | 2019-01-15 | 2021-05-18 | 蔷薇智慧科技有限公司 | Credit limit control method and device |
| CN110310198A (en) * | 2019-06-21 | 2019-10-08 | 深圳前海微众银行股份有限公司 | Management method, device, equipment and the readable storage medium storing program for executing of enterprise's amount information |
| WO2020253633A1 (en) * | 2019-06-21 | 2020-12-24 | 深圳前海微众银行股份有限公司 | Enterprise credit line information management method, apparatus, and device, and readable storage medium |
| CN110310198B (en) * | 2019-06-21 | 2023-12-01 | 深圳前海微众银行股份有限公司 | Enterprise quota information management method, device, equipment and readable storage medium |
| CN110335033A (en) * | 2019-07-09 | 2019-10-15 | 中国工商银行股份有限公司 | Limit processing method and system |
| CN111353876A (en) * | 2020-03-31 | 2020-06-30 | 中国建设银行股份有限公司 | Quota allocation method, device, equipment and storage medium |
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Application publication date: 20100519 |