CN112541814A - Banking business processing method and device and electronic equipment - Google Patents
Banking business processing method and device and electronic equipment Download PDFInfo
- Publication number
- CN112541814A CN112541814A CN202011434321.4A CN202011434321A CN112541814A CN 112541814 A CN112541814 A CN 112541814A CN 202011434321 A CN202011434321 A CN 202011434321A CN 112541814 A CN112541814 A CN 112541814A
- Authority
- CN
- China
- Prior art keywords
- data
- bank
- client
- target
- acquiring
- 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
- 238000003672 processing method Methods 0.000 title claims abstract description 18
- 238000000034 method Methods 0.000 claims abstract description 30
- 238000009877 rendering Methods 0.000 claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 10
- 238000004590 computer program Methods 0.000 claims description 6
- 238000013500 data storage Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000010354 integration Effects 0.000 abstract description 2
- 230000008569 process Effects 0.000 description 5
- 238000001914 filtration Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011022 operating instruction Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0633—Workflow analysis
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Tourism & Hospitality (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Data Mining & Analysis (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Technology Law (AREA)
- General Engineering & Computer Science (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The invention discloses a banking business processing method, a banking business processing device and electronic equipment, wherein the method comprises the following steps: acquiring customer data issued by a big data platform, and storing the customer data; detecting the login of a bank worker, and acquiring the position information of the bank worker; acquiring a distribution mode of customer data, if the distribution mode of the customer data is a list robbing mode, acquiring target customer data with a distance from a bank worker meeting a preset condition according to the position information of the bank worker, and pushing the target customer data to a bank worker terminal; and rendering track information of the bank staff and the target client on a map interface, and finishing the order grabbing according to the target client selection operation of the bank staff terminal. The embodiment of the invention can shorten the data circulation period of the client, improve the service processing efficiency and further improve the efficiency of refined operation; meanwhile, the application experience of the customer is improved; promote the integration of online and offline channels.
Description
Technical Field
The invention relates to the technical field of bank service management, in particular to a banking business processing method and device and electronic equipment.
Background
The financial credit card business is subject to high-speed development in recent years, the card issuing amount and the transaction amount are rapidly improved, the acceptance environment is greatly improved, the profit contribution degree of commercial banks is continuously increased, and the credit card still has some problems which need to be solved urgently in the development process.
The existing credit card transaction adopts a distributed transaction, the distributed transaction adopts a final consistency principle, an ES (electronic search, search server) is generally adopted in the credit card transaction process to search and analyze the application information of a client, but the ES and the order state in a database are inconsistent for a short time in the prior art, the client data circulation speed in the existing credit card transaction service is slow, the fine operation cannot be realized, the client manager closest to the address of the client cannot be pushed according to the address of the client, and the client applies for the card experience difference.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
In view of the above deficiencies of the prior art, an object of the present invention is to provide a banking business processing method, device and electronic device, which are used for solving the technical problems in the prior art that a data transfer speed of a client in a credit card transaction business is slow, a refined operation cannot be realized, a client manager closest to an address of the client cannot be pushed, and a card declaration experience of the client is poor.
The technical scheme of the invention is as follows:
a banking transaction processing method, the method comprising:
acquiring customer data issued by a big data platform, and storing the customer data;
detecting the login of a bank worker, and acquiring the position information of the bank worker;
acquiring a distribution mode of client data;
if the distribution mode of the customer data is the order grabbing mode, acquiring target customer data with the distance from the bank staff meeting preset conditions according to the position information of the bank staff, and pushing the target customer data to a bank staff terminal;
and rendering track information of the bank staff and the target client on a map interface, and finishing the order grabbing according to the target client selection operation of the bank staff terminal.
Further, the obtaining of the client data issued by the big data platform and storing of the client data includes:
the method comprises the steps of obtaining client data issued by a big data platform, wherein the client data comprise client position information and service information to be managed of a client;
and converting the position information of the client into longitude and latitude data, and storing the service information to be managed of the client and the longitude and latitude data.
Further preferably, the storing the service information to be managed and the longitude and latitude data of the client includes:
storing the service information to be managed and the longitude and latitude data of the client to the ES;
and after the ES index field assembles geopoint according to the longitude and latitude data, storing the service information to be transacted and the longitude and latitude data in the format of the geopoint.
Further preferably, the detecting that the bank worker logs in and acquiring the location information of the bank worker includes:
and detecting the login of bank workers, and acquiring city data corresponding to the bank workers and longitude and latitude information corresponding to the bank worker terminals.
Preferably, the rendering of the track information of the bank staff and the target customer on the map interface and the completion of the order grabbing according to the target customer selection operation of the bank staff terminal include:
acquiring target customer data, and calculating a current pricing coefficient according to the target customer data;
after the calculation is finished, returning a pricing list corresponding to the target customer data;
rendering track points of the bank staff and the clients on a map interface according to the pricing list;
and selecting operation according to the track of the target client of the bank worker terminal to finish the order grabbing.
Further, if the distribution mode of the customer data is the order grabbing mode, the method, according to the position information of the bank staff, acquires target customer data, the distance between which and the bank staff meets the preset conditions, and pushes the target customer data to the bank staff terminal, and includes:
if the distribution mode of the client data is the order grabbing mode, judging whether the current time period is in the order grabbing time period;
if the current time interval is the order grabbing time interval, acquiring target customer data with the distance from the bank staff meeting preset conditions according to the position information of the bank staff, and pushing the target customer data to a bank staff terminal;
and if the current time interval is not the order grabbing time interval, prompting no data.
Further, the obtaining of the distribution mode of the customer data includes:
if the distribution mode of the customer data is a dispatching mode, acquiring the working state of bank workers of which the position distance from the customer meets a preset condition;
and pushing the customer data to a bank worker terminal in an idle state at present.
Another embodiment of the present invention provides a banking processing apparatus, including:
the client data storage module is used for acquiring the client data issued by the big data platform and storing the client data;
the position acquisition module is used for detecting the login of bank workers and acquiring the position information of the bank workers;
the client data distribution mode acquisition module is used for acquiring the distribution mode of the client data;
the target data pushing module is used for acquiring target client data, the distance between which and bank staff meets preset conditions, according to the position information of the bank staff if the distribution mode of the client data is a list robbing mode, and pushing the target client data to a bank staff terminal;
and the order grabbing module is used for rendering track information of the bank staff and the target client on a map interface, and finishing order grabbing according to the target client selection operation of the bank staff terminal.
Another embodiment of the present invention provides an electronic device, comprising a processor and a memory;
the memory is used for storing operation instructions;
the processor is used for executing the banking business processing method by calling the operation instruction.
Another embodiment of the present invention also provides a non-transitory computer-readable storage medium storing a computer program that causes a processor to implement any one of the banking-business processing methods described above when the computer program is executed by the processor.
Has the advantages that: the embodiment of the invention can shorten the data circulation period of the client, improve the service processing efficiency and further improve the efficiency of refined operation; meanwhile, the application experience of the customer is improved; promote the integration of online and offline channels.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flow chart of a preferred embodiment of a banking process method of the present invention;
FIG. 2 is a schematic diagram of a banking apparatus according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to a preferred embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is described in further detail below. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. Embodiments of the present invention will be described below with reference to the accompanying drawings.
The embodiment of the invention provides a banking business processing method. Referring to fig. 1, fig. 1 is a flowchart illustrating a banking transaction processing method according to a preferred embodiment of the present invention. As shown in fig. 1, it includes the steps of:
s100, obtaining client data issued by a big data platform and storing the client data;
s200, detecting that a bank worker logs in, and acquiring position information of the bank worker;
step S300, obtaining a distribution mode of the client data, and if the distribution mode of the client data is a list grabbing mode, executing step S400; if the distribution mode of the client data is the dispatching mode, executing step S600;
step S400, according to the position information of the bank staff, obtaining target customer data with the distance from the bank staff meeting preset conditions, and pushing the target customer data to a bank staff terminal;
s500, rendering track information of the bank staff and the target client on a map interface, and finishing order grabbing according to the target client selection operation of the bank staff terminal;
s600, acquiring the working state of a bank worker of which the position distance from the bank worker to the client meets a preset condition; and pushing the customer data to a bank worker terminal in an idle state at present.
In particular, the banking business targeted by the embodiment of the present invention includes, but is not limited to, card transaction business. Cards include savings cards and credit cards. The existing banking business is mainly processed by adopting an ES, a data synchronization function cannot be realized among ES native clusters, and multiple activities can be realized, so that only multiple independent clusters can be built, then a layer of proxy is needed to process written data and distribute the written data to multiple clusters, and the problem of data inconsistency among the multiple clusters after a certain cluster is hung for a period of time needs to be considered.
The following embodiment is introduced for handling credit cards, and the big data platform in the embodiment of the present invention refers to platform data of a bank. The client can transact credit card application through the bank platform and fill in information required by transacting the credit card. However, some clients applying for credit card transaction in the network may have incomplete form filling information and information that the real-name authentication fails. The bank staff is required to intervene to carry out on-site processing. The bank employee may be a bank customer manager.
The implementation of the invention can be application software for processing banking business, the application software acquires the client data of the business information to be processed, which is sent by a big data platform, and stores the client data in a database corresponding to the application software;
detecting that a bank worker logs in application software, and acquiring position information of the bank worker;
after the target customer data is obtained, rule filtering is carried out,
if the filtration is not passed, the operation is ended;
if the rule filtering is passed, acquiring a distribution mode of client data, judging whether the current mode is a list robbing mode, if so, supplementing list robbing element information, accessing a list robbing pool (ES) to change the data state, and waiting for the list robbing of the data; if the order is not in the order grabbing mode, the current mode is three-level distribution or order dispatching.
If the distribution mode of the customer data is in the order grabbing mode, the operation radius of the bank staff is obtained, namely the target customer data of which the positions of the bank staff meet preset conditions, wherein the preset conditions can be less than a certain distance from the positions of the bank staff. And pushing the target data to a bank worker terminal, rendering track information of the bank worker and target clients on a list-robbing map interface, selecting one target client by the bank worker according to needs, and clicking a selection instruction to finish list-robbing.
If the bank staff is in the order dispatching mode, the background acquires the working state of the bank staff, the distance between the bank staff and the position of the client meets the preset conditions, according to the information of the target client; and the client data is pushed to the bank worker terminal in the idle state at present, so that the processing efficiency of the banking business is effectively improved.
The invention can lead the sending and circulation period of the client data to be advanced by 2 days on average; the success rate of the client manager for transacting the client data is improved from the original 20% to 35%, and the user experience of the client is improved.
Further, obtaining the client data issued by the big data platform and storing the client data comprises:
the method comprises the steps of obtaining client data issued by a big data platform, wherein the client data comprise client position information and service information to be managed of a client;
and converting the position information of the client into longitude and latitude data, and storing the service information to be managed of the client and the longitude and latitude data.
In specific implementation, when the client data is sent by the big data platform, the sending mode is judged according to the item code on the data, and the mode comprises the type of the client data. The client data comprises service information to be transacted by the client and client position information, and the client position information is a unit address filled by the client or a real-time address of the client.
And calling LBS service to convert the address into latitude and longitude data according to the unit address on the client data or the real-time address of the client, and specifically calling the Baidu LBS service to convert the address into the latitude and longitude data.
Further, storing the service information to be managed and the longitude and latitude data of the client comprises:
storing the service information to be managed and the longitude and latitude data of the client to the ES;
and after the ES index field assembles geopoint according to the longitude and latitude data, storing the service information to be transacted and the longitude and latitude data in the format of the geopoint.
In specific implementation, after new customer data is generated by the to-be-managed service information and the longitude and latitude data of the customer, the new customer data is redundant to the ES, and the ES index field is used for assembling geopoint according to the longitude and latitude to be used for subsequently judging the operation radius of a customer manager.
Further, detecting that a bank worker logs in, and acquiring the position information of the bank worker comprises:
and detecting the login of bank workers, and acquiring city data corresponding to the bank workers and longitude and latitude information corresponding to the bank worker terminals.
In specific implementation, a bank worker login instruction is detected, and longitude and latitude information of the city and the terminal location of the branch center to which the bank customer manager belongs is obtained after authentication is successful. The terminal is preferably a mobile phone.
Further, rendering track information of the bank staff and the target customer on a map interface, and finishing order grabbing according to the target customer selection operation of the bank staff terminal, wherein the method comprises the following steps:
acquiring target customer data, and calculating a current pricing coefficient according to the target customer data;
after the calculation is finished, returning a pricing list corresponding to the target customer data;
rendering track points of the bank staff and the clients on a map interface according to the pricing list;
and selecting operation according to the track of the target client of the bank worker terminal to finish the order grabbing.
In specific implementation, the ES order grabbing pool finds target customer data of which the state is to be subjected to order grabbing in the operation radius of the customer manager according to the screening conditions, and calculates the current pricing coefficient according to the target customer data; and after the pricing is finished, returning to a pricing list corresponding to the target customer data, and finishing a real-time order grabbing process by the customer manager according to the rendered track points on the map interface.
Further, if the distribution mode of the customer data is the order grabbing mode, the target customer data, the distance between which and the bank staff meets the preset conditions, is obtained according to the position information of the bank staff, and the target customer data is pushed to the bank staff terminal, and the method comprises the following steps:
if the distribution mode of the client data is the order grabbing mode, judging whether the current time period is in the order grabbing time period;
if the current time interval is the order grabbing time interval, acquiring target customer data with the distance from the bank staff meeting preset conditions according to the position information of the bank staff, and pushing the target customer data to a bank staff terminal;
and if the current time interval is not the order grabbing time interval, prompting no data.
In specific implementation, if the distribution mode of the client data is the order grabbing mode, judging whether the current time period is in the order grabbing time period;
if the order is robbed, judging whether the current bank staff is the addressee group; if the current bank staff receiving group exists, screening data from the order grabbing pool, and calculating a current pricing coefficient; returning the list and rendering the map; if the current bank worker is not the addressee group, prompting no data;
and if the order grabbing time period is not in the order grabbing time period, prompting no data.
Further, the version numbers of specific technical options in implementation of the scheme of the embodiment of the invention are JDK 1.8 in sequence; 3.2.6 of Redis; elastic Serach: 5.2.2; the database type is mysql-mgr. JDK is a JAVA tool implemented by the scheme, and Redis is used for providing a data interface.
The embodiment of the method can be known that, the embodiment of the invention provides a banking business processing method, taking a card application business as an example, information that a client network applies for incomplete filling and real name authentication fails is screened by a big data platform and then is sent to a comprehensive sales management platform, address information attached in the data is sent, a Baidu map LBS service is called to be converted into longitude and latitude and is stored in an ES in a geopoint data format, and an APP bearing a card application business terminal can capture the longitude and latitude information of a mobile phone of a client manager in real time to match with the client data which is located in the ES and is away from the optimal operation radius of the client manager, so that the aim of accurate marketing is achieved.
It should be noted that, a certain order does not necessarily exist between the above steps, and those skilled in the art can understand, according to the description of the embodiments of the present invention, that in different embodiments, the above steps may have different execution orders, that is, may be executed in parallel, may also be executed interchangeably, and the like.
Another embodiment of the present invention provides a banking processing apparatus, as shown in fig. 2, the apparatus 1 includes:
the client data storage module 11 is used for acquiring the client data issued by the big data platform and storing the client data;
the position acquisition module 12 is used for detecting the login of the bank staff and acquiring the position information of the bank staff;
a client data distribution mode acquisition module 13, configured to acquire a distribution mode of client data;
the target data pushing module 14 is configured to, if the distribution mode of the client data is a list robbing mode, obtain target client data, the distance between which and a bank worker meets a preset condition, according to the position information of the bank worker, and push the target client data to a bank worker terminal;
and the order grabbing module 15 is used for rendering track information of the bank staff and the target customers on a map interface, and finishing order grabbing according to the target customer selection operation of the bank staff terminal.
The specific implementation manner is shown in the above method embodiment, and is not described herein again.
Optionally, the client data storage module 11 is further configured to obtain client data issued by the big data platform, where the client data includes client location information and service information to be managed of the client;
and converting the position information of the client into longitude and latitude data, and storing the service information to be managed of the client and the longitude and latitude data.
Optionally, the customer data storage module 11 is further configured to store the service information to be managed and the longitude and latitude data of the customer to the ES;
and after the ES index field assembles geopoint according to the longitude and latitude data, storing the service information to be transacted and the longitude and latitude data in the format of the geopoint.
Optionally, the location obtaining module 12 is further configured to detect that a bank worker logs in, and obtain city data corresponding to the bank worker and longitude and latitude information corresponding to a bank worker terminal.
Optionally, the order grabbing module 15 is further configured to obtain target customer data, and calculate a current pricing coefficient according to the target customer data;
after the calculation is finished, returning a pricing list corresponding to the target customer data;
rendering track points of the bank staff and the clients on a map interface according to the pricing list;
and selecting operation according to the track of the target client of the bank worker terminal to finish the order grabbing.
Optionally, the target data pushing module 14 is further configured to, if the distribution mode of the client data is a list grabbing mode, determine whether the current time period is in a list grabbing time period;
if the current time interval is the order grabbing time interval, acquiring target customer data with the distance from the bank staff meeting preset conditions according to the position information of the bank staff, and pushing the target customer data to a bank staff terminal;
and if the current time interval is not the order grabbing time interval, prompting no data.
Optionally, the device further comprises an order sending module, wherein the order sending module is used for acquiring the working state of bank workers of which the position distance from the bank workers meets the preset condition if the distribution mode of the customer data is an order sending mode;
and pushing the customer data to a bank worker terminal in an idle state at present.
Another embodiment of the present invention provides an electronic device 10, as shown in fig. 3, including a processor 110 and a memory 120;
a memory 120 for storing operating instructions;
the processor 110 is configured to execute any banking processing method described above by calling the operation instruction.
The processor 110 is used to implement various control logic for the electronic device 10, which may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a single chip microcomputer, an ARM (Acorn RISC machine) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination of these components. Also, the processor 110 may be any conventional processor, microprocessor, or state machine. Processor 110 may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The memory 120 is a non-volatile computer-readable storage medium, and can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions corresponding to the banking processing method in the embodiment of the present invention. The processor 110 executes various functional applications and data processing of the electronic device 10 by executing the nonvolatile software programs, instructions and units stored in the memory 120, that is, implements the banking processing method in the above-described method embodiment.
The memory 120 may include a storage program area and a storage data area, wherein the storage program area may store an application program required for operating the device, at least one function; the stored data area may store data created from use of the electronic device 10, and the like. Further, the memory 120 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 120 optionally includes memory located remotely from processor 110, which may be connected to electronic device 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more units are stored in the memory 120 and, when executed by the processor 110, perform the banking-transaction processing method in any of the above-described method embodiments, e.g. performing the above-described method steps S100 to S600 in fig. 1.
Embodiments of the present invention provide a non-transitory computer-readable storage medium, which stores a computer program, and the computer program enables a processor to implement any one of the banking-business processing method lines described above when the computer program is executed by the processor, for example, to execute the above-described method steps S100 to S600 in fig. 1.
By way of example, non-volatile storage media can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in many forms such as Synchronous RAM (SRAM), dynamic RAM, (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The disclosed memory components or memory of the operating environment described herein are intended to comprise one or more of these and/or any other suitable types of memory.
The above-described embodiments are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions essentially or contributing to the related art can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Conditional language such as "can," "might," or "may" is generally intended to convey that a particular embodiment can include (yet other embodiments do not include) particular features, elements, and/or operations, among others, unless specifically stated otherwise or otherwise understood within the context as used. Thus, such conditional language is also generally intended to imply that features, elements, and/or operations are in any way required for one or more embodiments or that one or more embodiments must include logic for deciding, with or without input or prompting, whether such features, elements, and/or operations are included or are to be performed in any particular embodiment.
What has been described herein in the specification and drawings includes examples that can provide banking processing methods and apparatus. It will, of course, not be possible to describe every conceivable combination of components and/or methodologies for purposes of describing the various features of the disclosure, but it can be appreciated that many further combinations and permutations of the disclosed features are possible. It is therefore evident that various modifications can be made to the disclosure without departing from the scope or spirit thereof. In addition, or in the alternative, other embodiments of the disclosure may be apparent from consideration of the specification and drawings and from practice of the disclosure as presented herein. It is intended that the examples set forth in this specification and the drawings be considered in all respects as illustrative and not restrictive. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.
Claims (10)
1. A banking transaction processing method, comprising:
acquiring customer data issued by a big data platform, and storing the customer data;
detecting the login of a bank worker, and acquiring the position information of the bank worker;
acquiring a distribution mode of client data;
if the distribution mode of the customer data is the order grabbing mode, acquiring target customer data with the distance from the bank staff meeting preset conditions according to the position information of the bank staff, and pushing the target customer data to a bank staff terminal;
and rendering track information of the bank staff and the target client on a map interface, and finishing the order grabbing according to the target client selection operation of the bank staff terminal.
2. The method of claim 1, wherein the obtaining of the client data delivered by the big data platform and storing the client data comprises:
the method comprises the steps of obtaining client data issued by a big data platform, wherein the client data comprise client position information and service information to be managed of a client;
and converting the position information of the client into longitude and latitude data, and storing the service information to be managed of the client and the longitude and latitude data.
3. The method of claim 2, wherein storing the pending business information and the latitude and longitude data of the customer comprises:
storing the service information to be managed and the longitude and latitude data of the client to the ES;
and after the ES index field assembles geopoint according to the longitude and latitude data, storing the service information to be transacted and the longitude and latitude data in the format of the geopoint.
4. The method of claim 3, wherein the detecting that the bank worker logs in and acquiring the location information of the bank worker comprises:
and detecting the login of bank workers, and acquiring city data corresponding to the bank workers and longitude and latitude information corresponding to the bank worker terminals.
5. The method as claimed in claim 4, wherein the step of rendering track information of the bank staff and the target customers on the map interface, and completing the order grabbing according to the target customer selection operation of the bank staff terminal comprises the following steps:
acquiring target customer data, and calculating a current pricing coefficient according to the target customer data;
after the calculation is finished, returning a pricing list corresponding to the target customer data;
rendering track points of the bank staff and the clients on a map interface according to the pricing list;
and selecting operation according to the track of the target client of the bank worker terminal to finish the order grabbing.
6. The method according to claim 5, wherein if the distribution mode of the customer data is the order grabbing mode, obtaining target customer data whose distance from the bank staff meets the preset condition according to the position information of the bank staff, and pushing the target customer data to the bank staff terminal comprises:
if the distribution mode of the client data is the order grabbing mode, judging whether the current time period is in the order grabbing time period;
if the current time interval is the order grabbing time interval, acquiring target customer data with the distance from the bank staff meeting preset conditions according to the position information of the bank staff, and pushing the target customer data to a bank staff terminal;
and if the current time interval is not the order grabbing time interval, prompting no data.
7. The method of claim 4, wherein obtaining the distribution pattern of customer data comprises:
if the distribution mode of the customer data is a dispatching mode, acquiring the working state of bank workers of which the position distance from the customer meets a preset condition;
and pushing the customer data to a bank worker terminal in an idle state at present.
8. A banking transaction processing apparatus, comprising:
the client data storage module is used for acquiring the client data issued by the big data platform and storing the client data;
the position acquisition module is used for detecting the login of bank workers and acquiring the position information of the bank workers;
the client data distribution mode acquisition module is used for acquiring the distribution mode of the client data;
the target data pushing module is used for acquiring target client data, the distance between which and bank staff meets preset conditions, according to the position information of the bank staff if the distribution mode of the client data is a list robbing mode, and pushing the target client data to a bank staff terminal;
and the order grabbing module is used for rendering track information of the bank staff and the target client on a map interface, and finishing order grabbing according to the target client selection operation of the bank staff terminal.
9. An electronic device comprising a processor and a memory;
the memory is used for storing operation instructions;
the processor is used for executing the method of any one of claims 1-7 by calling the operation instruction.
10. A non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores a computer program that, when executed by a processor, implements the method of any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011434321.4A CN112541814A (en) | 2020-12-10 | 2020-12-10 | Banking business processing method and device and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011434321.4A CN112541814A (en) | 2020-12-10 | 2020-12-10 | Banking business processing method and device and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112541814A true CN112541814A (en) | 2021-03-23 |
Family
ID=75019808
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011434321.4A Pending CN112541814A (en) | 2020-12-10 | 2020-12-10 | Banking business processing method and device and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112541814A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103955856A (en) * | 2014-04-27 | 2014-07-30 | 谭希妤 | Method and system of guide-type banking office |
| CN103971284A (en) * | 2014-04-27 | 2014-08-06 | 谭希妤 | Bank card application and enabling method and system based on automatic position identification |
| CN109726928A (en) * | 2019-01-03 | 2019-05-07 | 北京思特奇信息技术股份有限公司 | One kind robbing worksheet processing method for processing business, device and storage medium |
| CN111144789A (en) * | 2019-12-31 | 2020-05-12 | 中国银行股份有限公司 | Service distribution method and device |
| CN112053060A (en) * | 2020-09-07 | 2020-12-08 | 上海浦东发展银行股份有限公司 | Multi-channel bank marketing information interaction system and method |
-
2020
- 2020-12-10 CN CN202011434321.4A patent/CN112541814A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103955856A (en) * | 2014-04-27 | 2014-07-30 | 谭希妤 | Method and system of guide-type banking office |
| CN103971284A (en) * | 2014-04-27 | 2014-08-06 | 谭希妤 | Bank card application and enabling method and system based on automatic position identification |
| CN109726928A (en) * | 2019-01-03 | 2019-05-07 | 北京思特奇信息技术股份有限公司 | One kind robbing worksheet processing method for processing business, device and storage medium |
| CN111144789A (en) * | 2019-12-31 | 2020-05-12 | 中国银行股份有限公司 | Service distribution method and device |
| CN112053060A (en) * | 2020-09-07 | 2020-12-08 | 上海浦东发展银行股份有限公司 | Multi-channel bank marketing information interaction system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108876133B (en) | Risk assessment processing method, device, server and medium based on business information | |
| CN102203775A (en) | Market dynamics | |
| CN109087208B (en) | Pre-loan data processing method, pre-loan data processing device, computer equipment and storage medium | |
| CN110782240A (en) | Service data processing method and device, computer equipment and storage medium | |
| CN111580874A (en) | System safety control method and system for data application and computer equipment | |
| CN110619065A (en) | Resource scheduling service processing method and device, computer equipment and storage medium | |
| CN108776791A (en) | Client identity identifies method of calibration, device, computer equipment and storage medium | |
| CN102496126A (en) | Custody asset transaction data monitoring equipment | |
| CN113989020A (en) | Loan overdue information processing method and device, computer equipment and storage medium | |
| CN113159733A (en) | Online processing method, device and equipment for accumulation fund extraction service and storage medium | |
| KR20190138927A (en) | A Cryptographic Liquidity Borrowing Method Using Block Chain | |
| CN116797345A (en) | Task processing method, device, computer equipment and storage medium | |
| CN112181628A (en) | Resource transfer method, device and system and electronic equipment | |
| CN110363394B (en) | Wind control service method and device based on cloud platform and electronic equipment | |
| CN112541814A (en) | Banking business processing method and device and electronic equipment | |
| CN114565470A (en) | Financial product recommendation method based on artificial intelligence and related equipment thereof | |
| CN113393320A (en) | Enterprise financial service risk prediction method and device | |
| EP3931780A1 (en) | System and method for transferring an anonymized transaction between nodes of a computer network | |
| KR20160019614A (en) | Marketing and system using network relation of finance client | |
| US11494778B2 (en) | Enhanced data security and presentation system and method | |
| US12020246B2 (en) | Intelligent distributed ledger consent optimizing apparatus for asset transfer | |
| CN111882294B (en) | Method and device for flow approval | |
| US20240013176A1 (en) | Computer-implemented systems and methods for payment routing | |
| US20240013189A1 (en) | Computer-implemented systems and methods for payment routing | |
| US11625698B2 (en) | Intelligent distributed ledger consent optimizing apparatus for asset transfer |
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 |