CN111640000A - Data source calling method based on real-time decision - Google Patents
Data source calling method based on real-time decision Download PDFInfo
- Publication number
- CN111640000A CN111640000A CN202010305197.5A CN202010305197A CN111640000A CN 111640000 A CN111640000 A CN 111640000A CN 202010305197 A CN202010305197 A CN 202010305197A CN 111640000 A CN111640000 A CN 111640000A
- Authority
- CN
- China
- Prior art keywords
- data
- data source
- acquisition system
- calling
- data acquisition
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/03—Credit; Loans; Processing thereof
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Technology Law (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of data processing, in particular to a real-time decision-based data source calling method for a user bank credit business. The method comprises the following steps: the data acquisition system is internally provided with a configuration file for data source calling, and a data source calling list under a plurality of sub-steps is determined according to the configuration file; the data acquisition system calls and assembles data of all data sources of the sub-step into a Json message to be transmitted to the calculation engine for calculation, and receives a calculation result of the calculation engine in the sub-step; and determining a data source calling list required to be called in the next sub-step according to the current calculation result of the calculation engine and the configuration file. The invention can flexibly call the data source in stages in the risk control process of the credit application, thereby saving the cost and time.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a real-time decision-based data source calling method for a user bank credit business.
Background
Along with the development of internet finance, strict risk control is required when credit applications are transacted, and a plurality of data sources of a transactor need to be collected and called in the transaction process and transmitted to a corresponding processing module for automatic approval. The existing risk control calls the data source of the transactor by a full-scale integral method, namely calls all the data sources of the transactor at each stage of credit application approval. Since all data sources need not be called at some stage of the credit approval and most data source calls are costly, unnecessary cost and time are lost.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, it is an object of the present invention to provide a real-time decision-based data source calling method, which enables staged and flexible calling of data sources during risk control of a credit application, thereby saving cost and time.
The invention provides a data source calling method based on real-time decision, which comprises the following steps:
step 1: setting parameters of interaction between a data acquisition system and a calculation engine and a data source calling range, and forming a configuration file for data source calling;
step 2, the data acquisition system receives a credit application circulation request initiated by a front-end system through a processor, preliminarily classifies the credit application circulation request, calls the configuration file, and determines a calling list of a first data source required by a credit application preliminary examination stage;
step 3, the data acquisition system initiates the calling of the first data source in a concurrent mode through the processor according to the calling list of the first data source and stores the called data of the first data source in a memory of the data acquisition system;
and 4, step 4: the data acquisition system assembles the data of the first data source stored in the memory into a data structure of the message according to a set format through the processor, transmits the assembled message to the calculation engine, performs calculation in a primary examination stage in the calculation engine, feeds back a calculated primary examination result to the processor of the data acquisition system, and simultaneously outputs a calling list of a second data source required to be called in an intermediate examination stage to the processor of the data acquisition system through the calculation engine;
and 5: the data acquisition system initiates the calling of the second data source in a concurrent mode through the processor according to the configuration file and the calling list of the second data source output in the initial examination stage, and stores the called data of the second data source in a memory of the data acquisition system;
step 6: the data acquisition system assembles the data of the first data source and the second data source stored in the memory into a data structure of the message according to a set format through the processor, transmits the assembled message to the calculation engine, performs calculation in an intermediate examination stage in the calculation engine, feeds back a calculated intermediate examination result to the processor of the data acquisition system, and simultaneously outputs a calling list of a third data source required to be called in the final examination stage to the processor of the data acquisition system;
and 7: the data acquisition system initiates the calling of the third data source in a concurrent mode through the processor according to the configuration file and a calling list of the third data source output in the intermediate examination stage, and stores the called data of the third data source in a memory of the data acquisition system;
and 8: the data acquisition system assembles the data of the first data source, the second data source and the third data source stored in the memory into a data structure of the message according to a set format through the processor, transmits the assembled message to the calculation engine, performs calculation in a final trial stage in the calculation engine, feeds back a calculated final trial result to the processor of the data acquisition system, and outputs the final trial result to a downstream system.
The data source calling process is divided into a plurality of substeps, and the data source can be flexibly called in stages according to a preset configuration file and a data source calling list which is output by a computing engine at different examination stages and needs to be called, so that the cost and the time for calling the data source are saved.
Optionally, in step 4 or step 6, when the initial examination result or the intermediate examination result is not qualified, all subsequent steps are skipped, and the data acquisition system directly outputs the initial examination result or the intermediate examination result to the downstream system through the processor.
When the calculation engine receives enough data information and judges that the result of the initial examination or the intermediate examination stage is unqualified, the result is directly output to a downstream system, and the calling processes of all subsequent data sources are terminated, so that the cost waste caused by calling the second data source and the third data source can be avoided, and the examination efficiency is improved.
Optionally, in step 4, the calculation engine in the initial review stage is further provided with a calculation logic meeting the current context requirement, when the initial review result is qualified and the calculation logic meets the current context requirement, the calculation engine directly outputs a call list of a third data source required to be called in the final review stage to a processor of the data acquisition system, the processor of the data acquisition system initiates the call of the third data source and stores the call list in a memory of the data acquisition system, the stored data of the first data source and the stored data of the third data source are assembled into a data structure of a message according to a set format and are transmitted to the calculation engine for calculation, and finally, the calculated final review result is output to a downstream system through the processor of the data acquisition system.
When the initial examination result passes, according to the requirement of the current situation, the calculation engine can directly determine the calling list of the data source required to be called in the next sub-step, without the sequence of calling the data source, so that the calling list of the data source is not completely determined by the configuration file, and the data source can be called more flexibly according to certain specific situations.
Optionally, the data structure of the packet is a storage structure in a Json string format.
The Json character string format is selected for message assembly, the format is simple, reading and writing are easy, the compression is realized, and the occupied bandwidth is small.
Drawings
Fig. 1 is a flowchart of a data source calling method based on real-time decision according to the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
The invention provides a data source calling method based on real-time decision, which comprises the following steps:
step 1: and setting parameters of interaction between the data acquisition system and the calculation engine and the range of data source calling, and forming a configuration file for the data source calling. The configuration file can predefine the data source and the batch required to be collected for each credit application type according to options of credit application classification, data source coding, calculation engine stage, starting state and the like, and each option in the configuration file can support modification, so that a user can conveniently set the options in the configuration file according to actual conditions and maintain the user in later use. The data called by the data source is the bank credit business data, the range of which is determined by the type of credit application, such as identity certification, household registration certification, credit investigation certification, payroll and asset evaluation, and the like;
and 2, the data acquisition system receives a credit application circulation request initiated by the front-end system through the processor, preliminarily classifies the credit application circulation request, calls the configuration file, and determines a calling list of the first data source required by the credit application preliminary examination stage. The front-end system initiates a request to the data acquisition system according to the type of the credit application, and different request types can be credit approval, loan approval, quota adjustment approval and the like. For example: the front-end system initiates a loan approval to the data acquisition system, the data acquisition system reads a configuration file for the data source to call through the processor to obtain a first data source call list required to be called in an initial examination stage, and a plurality of interfaces can be added to the configuration file to realize the call lists of a plurality of data sources at the same time;
step 3, the data acquisition system initiates the calling of the first data source in a concurrent mode through the processor according to the calling list of the first data source and stores the called data of the first data source in a memory of the data acquisition system;
in this embodiment, the data structures of the messages are storage structures in a Json string format, the data acquisition system assembles and integrates the called data, the data are arranged in a Json (javascript Object notation) format, the assembled and integrated called data are marked each time (for example, the first called data is named as data source-1, and the second called data is named as data source-2), and the data are cached in the local storage. The message is assembled and integrated into a Json format, so that the method has the advantages of simpler file format, small occupied bandwidth in the system interaction process and easiness in reading and writing, and can effectively reduce the system pressure especially under the condition of larger traffic. The interactive access parameters and the data source calling range between the data acquisition system and the calculation engine are standardized, and the data formats called at different stages are consistent.
And 4, step 4: the data acquisition system assembles the data of the first data source stored in the memory into a data structure of the message according to a set format through the processor, transmits the assembled message to the calculation engine, performs calculation in a primary examination stage in the calculation engine, feeds back a calculated primary examination result to the processor of the data acquisition system, and simultaneously outputs a calling list of the second data source required to be called in an intermediate examination stage to the processor of the data acquisition system through the calculation engine. The calculation engine is a rule base which is deployed in advance, and executes different calculation processes according to different service types and wind control data. For example, one of the rules deployed by the computing engine is "whether the borrower is in work", if the returned data shows that the borrower is in work ", the computing engine in the preliminary examination stage outputs a result of" the preliminary examination is passed and the second data source is called "to the processor of the data acquisition system, and meanwhile, the computing engine outputs a calling list of the second data source required to be called in the intermediate examination stage to the processor of the data acquisition system; if the returned data show that the borrower is a person who is not available, the calculation engine in the initial examination stage outputs a result of 'the borrower does not pass the initial examination and does not meet the requirement' to a processor of the data acquisition system, the processor outputs the result to a downstream system, and the process is ended;
and 5: the data acquisition system receives a result of 'initial pass and call of a second data source' in an initial examination stage output by the computing engine through the processor, initiates the call of the second data source in a concurrent mode according to the configuration file and a call list of the second data source output by the initial examination stage, and stores the called data of the second data source in a memory of the data acquisition system;
step 6: the data acquisition system assembles the data of the first data source and the second data source stored in the memory into a data structure of the message according to a set format through the processor, the assembled message is transmitted to the calculation engine, the calculation at the intermediate examination stage is carried out in the calculation engine, the synchronization step 4 is similar, the calculation engine is a rule base which is arranged in advance, for example, the other rule arranged by the calculation engine is that a borrower cannot have overdue records, if the returned data show that the borrower has no overdue records, the calculation engine at the intermediate examination stage can output a result of 'passing the intermediate examination and entering the calling of the third data source' to the processor of the data acquisition system, and meanwhile, the calculation engine outputs a list of the calling of the third data source required to be called at the final examination stage to the processor of the data acquisition system; if the returned data show that the borrower has overdue records, the calculation engine in the intermediate examination stage outputs the result that the intermediate examination does not pass and the borrower has overdue records to the processor of the data acquisition system, the processor outputs the result to a downstream system, and the process is ended;
in step 4 or step 6, when the initial examination result or the intermediate examination result is not qualified, all subsequent steps are skipped, and the data acquisition system directly outputs the initial examination result or the intermediate examination result to a downstream system through the processor. In the system auditing process, when the information of the client accords with the rule setting of a certain stage, the system can skip the subsequent stage according to the judgment condition to directly reach the final auditing stage or directly terminate the subsequent process, so that the data calling range can be compressed as much as possible, the system interaction process is reduced, and the service handling efficiency is improved.
And 7: the data acquisition system receives a result of 'passing the intermediate examination and entering the calling of a third data source' in an intermediate examination stage output by the computing engine through the processor, initiates the calling of the third data source in a concurrent mode according to the configuration file and a calling list of the third data source output in the intermediate examination stage, and stores the called data of the third data source in a memory of the data acquisition system;
and 8: the data acquisition system assembles a first data source, a second data source and a third data source stored in a memory into a data structure of a message according to a set format through a processor, the assembled message is transmitted to a calculation engine, calculation in a final inspection stage is carried out in the calculation engine, the synchronization step 4 is similar, the calculation engine is a rule base which is arranged in advance, for example, another rule arranged by the calculation engine is 'fixed assets exist under the name of a borrower', if returned data show that the fixed assets exist under the name of the borrower, the calculation engine in the final inspection stage can output a 'final inspection passing' result; if the returned data show that the borrower does not have fixed assets under the name, the final inspection stage calculation engine can output the result that the final inspection is not passed and the borrower does not have fixed assets under the name. And finally, feeding back the corresponding final inspection result to a processor of the data acquisition system, outputting the final inspection result to a downstream system by the processor, and ending the process.
In addition, in step 4, the calculation engine in the initial stage is further provided with calculation logic meeting the current situation requirement, when the initial result is qualified and the calculation logic meeting the current situation requirement is met, the calculation engine directly outputs a calling list of a third data source required to be called in the final stage to a processor of the data acquisition system, the processor of the data acquisition system initiates the calling of the third data source and stores the calling list in a memory of the data acquisition system, the stored data of the first data source and the stored data of the third data source are assembled into a data structure of a message according to a set format and are transmitted to the calculation engine for calculation, and finally, the calculated final result is output to a downstream system through the processor of the data acquisition system. For example, one of the rules deployed by the calculation engine in the preliminary examination stage is "whether a borrower is in work", and the specific rule required by the current scenario is "whether the annual income of the borrower exceeds the borrowed amount by 10 times", if the returned data shows that the borrower simultaneously meets the conditions of "whether the borrower is in work" and "the annual income of the borrower exceeds the borrowed amount by 10 times", the calculation engine in the preliminary examination stage outputs a result of "passing the preliminary examination and entering the call of the third data source" to the processor of the data acquisition system, and simultaneously outputs a list of calls of the third data source required to be called in the final examination stage to the processor of the data acquisition system.
According to the data source calling method based on real-time decision, the whole calling process of the data source is divided into a plurality of stages, only part of data source data needed to be called is called in each stage, the data source data called each time are integrated into a passing format and stored in the local storage, and when the called data source data are reused, the data source data are directly called in the local storage. The complicated data source calling process is simplified, flexible calling of a plurality of data source data in a plurality of stages is achieved, the interaction process of the system is reduced, in addition, at any stage, the data acquisition system can assemble and transmit the new data source data acquired at this time and the data source data acquired before to the calculation engine, repeated calling of the data source is avoided, more and more information can be acquired in subsequent sub-stages, and the final decision is facilitated to be judged. In addition, the technical scheme can insert a new sub-phase between any two sub-phases according to the service requirements of the user, so that the requirements of the user are met.
It should be noted that, in this embodiment, the example of the rule for deploying the computer engine is not only the only example, and the user may set other conditions as the rule for deploying the computer engine according to the actual situation.
This embodiment is further described below in a specific case:
the client A wants to borrow on my bank, initiates a borrowing application on a mobile phone webpage and agrees to credit investigation, and then the front-end system receives the client request, and transfers the client request to the data acquisition system and the calculation engine to execute the borrowing approval process.
After receiving the request, the data acquisition system determines a data source list (identity information and working units) required by the initial review of the calculation engine according to the pre-configuration file. And after calling the basic identity information and the working unit of the client A, the data acquisition system sends the basic identity information and the working unit to a calculation engine for initial examination decision.
The calculation engine audits the identity information and the working information of the client A, the rule judgment of ' whether a borrower is in position ' is carried out in the initial audit stage, the working information of the client A is judged to be effective according to the data source, the client A is an in-position person, the conclusion that the client A meets the in-position condition and passes the initial audit is given after the initial audit, the income of the client A is possibly not high through the evaluation of a working unit, the client A has a loan and is overdue at present, the person's bank credit information of the client A needs to be inquired, and the conclusion that the data acquisition system needs to inquire the person's bank credit ' is output after the initial audit.
The decision engine examines and verifies credit investigation information of the client A in the middle, the rule judgment of 'whether the borrower has overdue records' is carried out in the middle examination stage, the credit investigation report of the client A shows that the current overdue is serious, the calculation engine gives a conclusion that 'the client A has overdue records and the loan approval does not pass' in the middle examination stage, and the conclusion is received by the data acquisition system and transmitted to a downstream system, and all subsequent data source calling and calculation engine decision processes are finished.
And the downstream system records the result of the examination and approval of the loan and feeds back a conclusion that the loan application of the time fails to pass to the client on a webpage of the mobile phone. And when the whole loan approval process is finished, the data acquisition system acquires 3 data sources (identity information, work units and credit investigation information) and the calculation engine executes 2 stages (initial examination stage and intermediate examination stage) of decision making.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (4)
1. A real-time decision-based data source calling method is characterized by comprising the following steps:
step 1: setting parameters of interaction between a data acquisition system and a calculation engine and a data source calling range, and forming a configuration file for data source calling;
step 2, the data acquisition system receives a credit application circulation request initiated by a front-end system through a processor, preliminarily classifies the credit application circulation request, calls the configuration file, and determines a calling list of a first data source required by a credit application preliminary examination stage;
step 3, the data acquisition system initiates the calling of the first data source in a concurrent mode through the processor according to the calling list of the first data source and stores the called data of the first data source in a memory of the data acquisition system;
and 4, step 4: the data acquisition system assembles the data of the first data source stored in the memory into a data structure of the message according to a set format through the processor, transmits the assembled message to the calculation engine, performs calculation in a primary examination stage in the calculation engine, feeds back a calculated primary examination result to the processor of the data acquisition system, and simultaneously outputs a calling list of a second data source required to be called in an intermediate examination stage to the processor of the data acquisition system through the calculation engine;
and 5: the data acquisition system initiates the calling of the second data source in a concurrent mode through the processor according to the configuration file and the calling list of the second data source output in the initial examination stage, and stores the called data of the second data source in a memory of the data acquisition system;
step 6: the data acquisition system assembles the data of the first data source and the second data source stored in the memory into a data structure of the message according to a set format through the processor, transmits the assembled message to the calculation engine, performs calculation in an intermediate examination stage in the calculation engine, feeds back a calculated intermediate examination result to the processor of the data acquisition system, and simultaneously outputs a calling list of a third data source required to be called in the final examination stage to the processor of the data acquisition system;
and 7: the data acquisition system initiates the calling of the third data source in a concurrent mode through the processor according to the configuration file and a calling list of the third data source output in the intermediate examination stage, and stores the called data of the third data source in a memory of the data acquisition system;
and 8: the data acquisition system assembles the data of the first data source, the second data source and the third data source stored in the memory into a data structure of the message according to a set format through the processor, transmits the assembled message to the calculation engine, performs calculation in a final trial stage in the calculation engine, feeds back a calculated final trial result to the processor of the data acquisition system, and outputs the final trial result to a downstream system.
2. The real-time decision-based data source calling method as claimed in claim 1, wherein in step 4 or step 6, when the initial examination result or the intermediate examination result is not qualified, all subsequent steps are skipped, and the data acquisition system directly outputs the initial examination result or the intermediate examination result to a downstream system through the processor.
3. The method for calling the data source based on the real-time decision as claimed in claim 1, wherein in step 4, the calculation engine in the initial examination stage is further provided with calculation logic meeting the needs of the current scenario, when the initial examination result is qualified and the calculation logic meeting the needs of the current scenario is met, the calculation engine directly outputs a calling list of the third data source required to be called in the final examination stage to a processor of the data acquisition system, the processor of the data acquisition system initiates the calling of the third data source and stores the calling list in a memory of the data acquisition system, the stored data of the first data source and the stored data of the third data source are assembled into a data structure of a message according to a set format and are transmitted to the calculation engine for calculation, and finally, the calculated final examination result is output to a downstream system through the processor of the data acquisition system.
4. The real-time decision-based data source calling method according to any one of claims 1 to 3, wherein the data structures of the messages are all storage structures in a Json string format.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010305197.5A CN111640000A (en) | 2020-04-17 | 2020-04-17 | Data source calling method based on real-time decision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010305197.5A CN111640000A (en) | 2020-04-17 | 2020-04-17 | Data source calling method based on real-time decision |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111640000A true CN111640000A (en) | 2020-09-08 |
Family
ID=72330818
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010305197.5A Pending CN111640000A (en) | 2020-04-17 | 2020-04-17 | Data source calling method based on real-time decision |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111640000A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113793213A (en) * | 2021-09-27 | 2021-12-14 | 武汉众邦银行股份有限公司 | Method and device for realizing decision mode of asynchronous credit wind control breakpoint continued operation |
| CN115660819A (en) * | 2022-09-28 | 2023-01-31 | 睿智合创(北京)科技有限公司 | Data source docking platform for credit decision |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060190310A1 (en) * | 2005-02-24 | 2006-08-24 | Yasu Technologies Pvt. Ltd. | System and method for designing effective business policies via business rules analysis |
| CN107862425A (en) * | 2017-08-29 | 2018-03-30 | 平安普惠企业管理有限公司 | Air control collecting method, equipment, system and readable storage medium storing program for executing |
| CN107967601A (en) * | 2017-12-21 | 2018-04-27 | 小花互联网金融服务（深圳）有限公司 | A kind of automation approval process system based on configuration and self decision-making |
| CN109582289A (en) * | 2017-09-28 | 2019-04-05 | 阿里巴巴集团控股有限公司 | The processing method of regular flow, system, storage medium and processor in regulation engine |
| CN110837963A (en) * | 2019-11-06 | 2020-02-25 | 浪潮卓数大数据产业发展有限公司 | Risk control platform construction method based on data, model and strategy |
-
2020
- 2020-04-17 CN CN202010305197.5A patent/CN111640000A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060190310A1 (en) * | 2005-02-24 | 2006-08-24 | Yasu Technologies Pvt. Ltd. | System and method for designing effective business policies via business rules analysis |
| CN107862425A (en) * | 2017-08-29 | 2018-03-30 | 平安普惠企业管理有限公司 | Air control collecting method, equipment, system and readable storage medium storing program for executing |
| CN109582289A (en) * | 2017-09-28 | 2019-04-05 | 阿里巴巴集团控股有限公司 | The processing method of regular flow, system, storage medium and processor in regulation engine |
| CN107967601A (en) * | 2017-12-21 | 2018-04-27 | 小花互联网金融服务（深圳）有限公司 | A kind of automation approval process system based on configuration and self decision-making |
| CN110837963A (en) * | 2019-11-06 | 2020-02-25 | 浪潮卓数大数据产业发展有限公司 | Risk control platform construction method based on data, model and strategy |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113793213A (en) * | 2021-09-27 | 2021-12-14 | 武汉众邦银行股份有限公司 | Method and device for realizing decision mode of asynchronous credit wind control breakpoint continued operation |
| CN113793213B (en) * | 2021-09-27 | 2023-09-19 | 武汉众邦银行股份有限公司 | Method and device for implementing decision mode of asynchronous credit wind control breakpoint continuous operation |
| CN115660819A (en) * | 2022-09-28 | 2023-01-31 | 睿智合创(北京)科技有限公司 | Data source docking platform for credit decision |
| CN115660819B (en) * | 2022-09-28 | 2023-06-23 | 睿智合创(北京)科技有限公司 | Data source docking platform for credit decision |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109814856B (en) | Data entry method, device, terminal and computer readable storage medium | |
| CN110286974A (en) | Application configuration method, apparatus, equipment and storage medium based on the H5 page | |
| WO2020248883A1 (en) | Debt collection method, system and apparatus | |
| US10599985B2 (en) | Systems and methods for expediting rule-based data processing | |
| CN107038645B (en) | Service processing method, device and system and server | |
| CN110363411B (en) | Risk control method and device for intelligent recommendation by using speech technology | |
| CN111640000A (en) | Data source calling method based on real-time decision | |
| CN112784112B (en) | Message verification method and device | |
| CN113570030A (en) | Data processing method, device, equipment and storage medium | |
| CN111580874A (en) | System safety control method and system for data application and computer equipment | |
| CN109753436A (en) | Test method, device and the storage medium of intelligent customer service system | |
| US20150254767A1 (en) | Loan service request documentation system | |
| CN111311395A (en) | Management system, method, equipment and storage medium for public accumulation fund repayment business | |
| CN113556430B (en) | Outbound system and outbound method | |
| CN111429125B (en) | Account management method and device, storage medium and electronic equipment | |
| CN115239188A (en) | Business handling method and device, electronic equipment and storage medium | |
| CN114282878A (en) | Method and device for constructing claim settlement standardized model | |
| CN111951011B (en) | Monitoring system threshold value determining method and device | |
| CN114371884A (en) | Method, device, equipment and storage medium for processing Flink calculation task | |
| CN113674023A (en) | Rights upgrading method, device, equipment and storage medium based on member level | |
| CN109783559B (en) | Method and device for acquiring real estate transaction data, electronic equipment and storage medium | |
| CN111831868A (en) | Method and apparatus for financial product configuration | |
| CN112288565A (en) | System, method and device for executing service | |
| CN112115279A (en) | Risk control method and device based on knowledge graph | |
| CN111062676A (en) | Method and device for realizing government affair approval process |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200908 |
|
| RJ01 | Rejection of invention patent application after publication |