CN115526711A - Data processing method, device, equipment, medium and product - Google Patents
Data processing method, device, equipment, medium and product Download PDFInfo
- Publication number
- CN115526711A CN115526711A CN202211216648.3A CN202211216648A CN115526711A CN 115526711 A CN115526711 A CN 115526711A CN 202211216648 A CN202211216648 A CN 202211216648A CN 115526711 A CN115526711 A CN 115526711A
- Authority
- CN
- China
- Prior art keywords
- parameter
- commonality
- common
- product
- common parameter
- 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 34
- 238000000034 method Methods 0.000 claims abstract description 57
- 238000011144 upstream manufacturing Methods 0.000 claims abstract description 23
- 238000012545 processing Methods 0.000 claims abstract description 21
- 238000013507 mapping Methods 0.000 claims description 39
- 238000004590 computer program Methods 0.000 claims description 30
- 238000012216 screening Methods 0.000 claims description 7
- 230000008569 process Effects 0.000 abstract description 29
- 238000012795 verification Methods 0.000 abstract description 10
- 238000004891 communication Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 7
- 238000004519 manufacturing process Methods 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012854 evaluation process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Landscapes
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The embodiment of the invention discloses a data processing method, a data processing device, data processing equipment, data processing media and data processing products, and relates to the technical field of finance. The method comprises the following steps: the method comprises the steps of obtaining original common parameters corresponding to financing application of upstream and downstream enterprises of a core enterprise, carrying out parameter configuration on the original common parameters to obtain a corresponding common parameter configuration table, and generating a corresponding financing application strategy according to the common parameter configuration table and product attribute information. According to the embodiment of the invention, the original common parameters are subjected to parameter configuration to obtain the corresponding common parameter configuration table, and the corresponding financing application strategy is generated according to the common parameter configuration table and the product attribute information, so that the user can multiplex the service process and the related verification of the existing product only through common parameter configuration, and can obtain personalized process service to perform related financial financing application service.
Description
Technical Field
The present invention relates to the field of financial technologies, and in particular, to a data processing method, apparatus, device, medium, and product.
Background
The receivable accounts financing, the stock pledge financing and the prepaid accounts financing respectively take the receivable accounts, the stock and the prepaid accounts as pledges, corresponding loans are obtained from financial institutions, and enterprises on a supply chain can select a suitable financing mode according to upstream and downstream transaction behaviors, transaction periods, payment mode characteristics and the like so as to practically solve the problem of difficult financing of the enterprises. There are many differences between the three financing methods, and each financing method may have a relatively personalized flow for different products. Moreover, a new platform or product may be accessed to re-fund the design and implementation of the application process.
Disclosure of Invention
In view of this, the present invention provides a data processing method, apparatus, device, medium, and product, which can achieve that a service flow and related verification of an existing product can be reused only by common parameter configuration while a commodity price is closer to commodity combination reference information, so that a user can obtain a personalized flow service to perform a related financial financing application service.
According to an aspect of the present invention, an embodiment of the present invention provides a data processing method, including:
acquiring original common parameters corresponding to financing applications of upstream and downstream enterprises of a core enterprise;
configuring the original common parameter pair parameters to obtain a corresponding common parameter configuration table;
and generating a corresponding financing application strategy according to the commonality parameter configuration table and the product attribute information.
According to another aspect of the present invention, an embodiment of the present invention further provides a data processing apparatus, including:
the acquisition module is used for acquiring original common parameters corresponding to financing applications of upstream and downstream enterprises of the core enterprise;
the configuration module is used for configuring the original common parameter pair parameters to obtain a corresponding common parameter configuration table;
and the generating module is used for generating a corresponding financing application strategy according to the commonality parameter configuration table and the product attribute information.
According to another aspect of the present invention, an embodiment of the present invention further provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the data processing method according to any of the embodiments of the present invention.
According to another aspect of the present invention, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer instructions for causing a processor to implement the data processing method according to any embodiment of the present invention when the computer instructions are executed.
According to another aspect of the present invention, an embodiment of the present invention further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the computer program implements the data processing method according to any embodiment of the present invention.
According to the technical scheme of the embodiment of the invention, the original common parameters are subjected to parameter configuration to obtain the corresponding common parameter configuration table, and the corresponding financing application strategy is generated according to the common parameter configuration table and the product attribute information, so that the business process and the related verification of the existing product can be reused only through common parameter configuration, and a user can obtain personalized process service and perform related financial financing application business.
It should be understood that the statements in this section are not intended to identify key or critical features of the embodiments of the present invention, nor are they intended to limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a data processing method according to an embodiment of the present invention;
FIG. 2 is a flow chart of another data processing method according to an embodiment of the present invention;
FIG. 3 is a flow chart of another data processing method according to an embodiment of the invention;
FIG. 4 is a flowchart of another data processing method according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating a configuration of common parameters according to an embodiment of the present invention;
FIG. 6 is a relational diagram of a core enterprise, service plan, and financing application strategy according to an embodiment of the present invention;
fig. 7 is a block diagram of a data processing apparatus according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is to be understood that the terms "target" and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to the technical scheme, the data acquisition, storage, use, processing and the like meet relevant regulations of national laws and regulations.
In an embodiment, fig. 1 is a flowchart of a data processing method according to an embodiment of the present invention, where the embodiment is applicable to a situation when financing data of a financial transaction is processed, and the method may be executed by a data processing apparatus, where the data processing apparatus may be implemented in a form of hardware and/or software, and the data processing apparatus may be configured in an electronic device. As shown in fig. 1, the method is applied to a commodity combination platform, and specifically includes the following steps:
s110, obtaining original common parameters corresponding to financing application of upstream and downstream enterprises of the core enterprise.
The core enterprise can be understood as an enterprise with a relatively high degree of confidence in a set industry, including but not limited to communication operators, automobile manufacturing enterprises, and the like, and the upstream and downstream enterprises include but not limited to important resource and raw material mining and supply industries, and component manufacturing and producing industries, as well as industries for processing raw materials and components, manufacturing finished products, and performing production and service.
It should be noted that the number of core enterprises in this embodiment may be one or more core enterprises, and the number of upstream and downstream enterprises is one or more. One core enterprise may correspond to a plurality of upstream and downstream enterprises, or a plurality of core enterprises may correspond to one upstream and downstream enterprise, which is not limited herein.
In this embodiment, the types of financing applications may include: receivables financing, stock mortgage financing, and pre-paid account financing. The receivable accounts financing, the stock pledge financing and the prepaid accounts financing respectively take the receivable accounts, the stock and the prepaid accounts as pledges, and obtain corresponding loans from financial institutions.
In this embodiment, the original commonality parameter may be understood as a commonality parameter corresponding to a financing application performed by an upstream enterprise and a downstream enterprise based on a core enterprise. For example, the original commonality parameters may include the name of the service provider corresponding to the business upstream and downstream, the type of the product being the same, such as accounts receivable, and the like.
In this embodiment, the system may communicate with the production staff and/or the business staff in the upstream and downstream enterprises in a manual manner to obtain the business process corresponding to the supply chain financial financing application, and perform corresponding analysis, and the like on the business process to obtain the original commonality parameters corresponding to the upstream and downstream enterprises of the core enterprise when applying for financing. It should be noted that different services correspond to corresponding service flows. It can be understood that different businesses correspond to different business processes, and different types of financing applications may also correspond to different business processes and corresponding verification methods, where the business processes include, but are not limited to, a primary evaluation module, a splitting module and a due diligence module for applying financing on upstream and downstream enterprises by a core enterprise of an entry module of a financing application platform, and a payment method for the upstream and downstream enterprises.
And S120, performing parameter configuration on the original common parameters to obtain a corresponding common parameter configuration table.
The common parameter configuration table may be understood as a table for performing related parameter configuration on the common parameters, and may include a common parameter definition table, a common parameter value table, and a common parameter mapping table.
In one embodiment, the commonality parameter configuration table comprises: a commonality parameter definition table, a commonality parameter value table and a commonality parameter mapping table.
In this embodiment, the common parameter definition table refers to a table for defining common parameters, and the common parameter definition table may include, but is not limited to, a definition of a common parameter code, a definition of a common parameter name, a definition of a common parameter control type, a definition of a common parameter type, and a definition of a module to which the common parameter belongs.
In this embodiment, the commonality parameter value table may include, but is not limited to, a value of the commonality parameter code, a value of the commonality parameter, and an identification value corresponding to a module to which the commonality parameter belongs. For example, the generic parameter is defined as a product type, and the generic parameter type is defined as a pull-down menu form, and the value of the generic parameter may include specific values corresponding to accounts receivable, inventory pledge, and prepaid account.
In this embodiment, the common parameter mapping table may be understood as a mapping relationship table corresponding to the established common parameters, and the corresponding financing application policy may be found through the common parameter mapping table. It should be noted that the common parameter mapping table may include, but is not limited to, a common parameter code table, a product type table, and a product code table. It should be noted that, in the commonality parameter mapping table, the range of the trust awarded varieties to which the commonality parameter is applied is defined, and the commonality parameter is effective only in the trust awarded varieties, and of course, one or more commonality parameters in the commonality parameter mapping relation table may be the same trust awarded varieties or different trust awarded varieties. Illustratively, the codes of the common parameters and the product types are related to each other, the credit variety corresponding to the common parameter 1 is receivable, and then the credit variety is required to be validated in the common parameter 1 of the receivable, and the credit variety corresponding to the common parameter 2 is prepaid, and then the credit variety is required to be validated in the common parameter 2 of the prepaid account.
In this embodiment, the common parameter configuration table includes a common parameter definition table, a common parameter value table, and a common parameter mapping table. It should be noted that, the common parameter is defined, the common parameter codes, the common parameter names, the common parameter control types, the common parameter types, and the modules to which the common parameters belong in the whole financing application are defined, and the corresponding common parameter can be found through one of the common parameter codes, the common parameter names, the common parameter control types, the common parameter types, and the modules to which the common parameters belong, which are defined in the common parameter definition table.
In one embodiment, the commonality parameter definition table includes at least one of: a commonality parameter code; a generic parameter name; a commonality parameter control type; a commonality parameter type; and the module to which the common parameters belong.
In this embodiment, the common parameter definition table may include, but is not limited to, one or more common parameter definition tables of a common parameter code, a common parameter name, a common parameter control type, a common parameter type, and a module to which the common parameter belongs. It should be noted that the common parameter control types may include, but are not limited to, common parameter controls in a drop-down menu form, common parameter controls that can be directly filled in, and related controls that can be selected in a visual interface, and the common parameter types may include a string type, an integer type, a multi-dimensional type, a complex parameter type, a sub-parameter type, and the like. The modules to which the common parameters belong can be used for performing an entry process of a financing application process for upstream and downstream enterprises, a primary evaluation process, a splitting process and a due diligence process of applying financing for the upstream and downstream enterprises by a core enterprise.
In this embodiment, the original commonality parameter may be configured with a corresponding parameter, so as to obtain a corresponding commonality parameter configuration table according to the configuration parameter. Specifically, the corresponding commonality parameter definition table may be generated by performing corresponding parameter definition on the original commonality parameter, so that the commonality parameter definition table may be configured correspondingly based on the preconfigured parameter code to obtain the corresponding commonality parameter configuration table.
And S130, generating a corresponding financing application strategy according to the commonality parameter configuration table and the product attribute information.
The product attribute information refers to attribute information corresponding to a product, and may include one or more of a product type, a credit variety, and a saleable product. The financing application strategy can be understood as a general financing application strategy and can also be a template of the financing application strategy.
In one embodiment, the product attribute information includes at least one of: a product type; a variety of credit; the product can be sold.
In this embodiment, the product type may also be referred to as a business type, and may include, but is not limited to, accounts receivable financing, inventory mortgage financing, and pre-paid account financing.
It should be noted that, according to the corresponding financing application strategy, different new financing application strategies can be added by taking the product type, the credit variety and the saleable product as dimensions. In the actual operation process, different financing application strategies can be established according to the specific conditions for the same group of product types, credit varieties and saleable products.
In this embodiment, corresponding parameter configuration is performed on the original commonality parameters to obtain a corresponding commonality parameter configuration table, and on the basis of the commonality parameter configuration table, product attribute information corresponding to the product is combined to generate a corresponding financing application policy. Specifically, the candidate commonality parameters can be screened from the commonality parameter configuration table obtained by configuring the parameters through the product attribute information, so that the corresponding financing application strategy can be generated according to the commonality parameters obtained after screening.
According to the technical scheme of the embodiment of the invention, the original common parameters are subjected to parameter configuration to obtain the corresponding common parameter configuration table, and the corresponding financing application strategy is generated according to the common parameter configuration table and the product attribute information, so that the business process and the related verification of the existing product can be reused only through common parameter configuration, and a user can obtain personalized process service and perform related financial financing application business.
In an embodiment, fig. 2 is a flowchart of another data processing method according to an embodiment of the present invention, and in this embodiment, further details are performed on the basis of the foregoing embodiments, as shown in fig. 2, the data processing method in this embodiment may specifically include the following steps:
s210, acquiring original common parameters corresponding to financing application of upstream and downstream enterprises of the core enterprise.
S220, carrying out parameter configuration on the original common parameters to obtain a corresponding common parameter configuration table.
And S230, generating a corresponding financing application strategy according to the commonality parameter configuration table and the product attribute information.
And S240, acquiring product identification information of the target core enterprise.
Wherein the target core enterprise may be understood as any one of a plurality of core enterprises.
In this embodiment, the product identification information may also be referred to as a product number, which refers to number information corresponding to a product, and may be used to distinguish products, where the product identification information may be a number of a numeric type, a number of a numeric plus an english word, or a number of another type of product, and this embodiment is not limited herein. Illustratively, the product identification information is 001 number, 002 number, 001xy number, and so forth.
In this embodiment, the target core enterprise corresponds to corresponding product identification information, and the product identification information corresponding to the target core enterprise is obtained.
And S250, generating a corresponding core enterprise service scheme based on the product identification information and the financing application strategy.
In this embodiment, the core enterprise service scheme includes, but is not limited to, a number corresponding to the core enterprise service scheme, product identification information corresponding to a product, a number corresponding to a module to which the commonality parameter belongs, and a product type. In an embodiment, the core enterprise service plan may be understood as a service plan obtained by customizing a pre-created financing application policy based on product identification information of a target core enterprise. It will be appreciated that the core enterprise service scheme is a customized financing application strategy.
In this embodiment, in the financing application policy, different products have respective personalized settings corresponding to each business process, and the personalized settings are abstracted into public parameter configuration to control the business processes in a parameter form.
In this embodiment, on the basis of obtaining the product identification information of the target core enterprise, the financing application policy corresponding to the product identification information is extracted, and a core enterprise service scheme corresponding to the target core enterprise may be generated. It should be noted that, in the core enterprise service scheme, the financing application policy is selected as the product configuration of the core enterprise, so that the target core enterprise can perform corresponding product business in the financial institution, the core enterprise service scheme can be maintained for the branch institution to which the core enterprise belongs, and each target core enterprise can perform relevant business only by configuring the core enterprise service scheme product.
In one embodiment, generating a corresponding core enterprise service plan based on the product identification information and the financing application policy includes:
identifying and extracting a corresponding financing application strategy based on the product identification information;
and generating a corresponding core enterprise service scheme according to the common parameter value-taking table associated with the financing application strategy.
In this embodiment, the product identification information is identified based on the product identification information corresponding to the target core enterprise, so as to extract the corresponding financing application policy according to the product identification information, and thus, the corresponding core enterprise service scheme is generated according to the common parameter value-taking table associated with the financing application policy.
S260, establishing a mapping relation between the financing application strategy and the common parameter value taking table based on the first preset association identifier.
The first preset association identifier may be understood as an association identifier between the financing application policy and the commonality parameter value-taking table, and may be a module number to which the commonality parameter belongs.
In this embodiment, the mapping relationship between the financing application policy and the common parameter value taking table may be established by a first preset association identifier. It can be understood that, the first preset association identifier may be invoked to obtain a common parameter value corresponding to the financing application policy in the common parameter value table, so as to know the common parameter value associated with the financing application policy.
S270, establishing a mapping relation between a service scheme table corresponding to the core enterprise service scheme and the common parameter value-taking table based on the second preset association identifier.
The second preset association identifier refers to an association identifier number between a service scheme table corresponding to the core enterprise service scheme and the common parameter value-taking table, and may be a service scheme number.
In this embodiment, a mapping relationship between a service scheme table corresponding to the core enterprise service scheme and the common parameter value-taking table may be established based on the second preset association identifier. It can be understood that the common parameter value taking table associated with the service scheme table may be called through the second preset association identifier, so as to obtain the common parameter value corresponding to the service scheme table from the common parameter value taking table.
S280, establishing a mapping relation between the core enterprise service scheme and the service scheme product based on the service scheme number of the core enterprise service scheme.
The service scheme number may be understood as a service scheme number corresponding to the core enterprise service scheme.
In this embodiment, the mapping relationship between the core enterprise service scheme and the service scheme product may be established by the service scheme number of the core enterprise service scheme. The mapping relationship may be understood that the core enterprise service scheme and the service scheme product may be associated by the service scheme number, and it should be noted that the service scheme product may be composed of a service scheme product table and may include the service scheme number and the core enterprise customer number.
According to the technical scheme, the product identification information of the target core enterprise is obtained, so that the corresponding core enterprise service scheme is generated based on the product identification information and the financing application strategy, and the corresponding individualized setting of different products in each business process is realized; through the mapping relation between the financing application strategy and the common parameter value taking table and the mapping relation between the service scheme table corresponding to the core enterprise service scheme and the common parameter value taking table, the corresponding common parameter value can be found according to the mapping relations.
In an embodiment, fig. 3 is a flowchart of another data processing method according to an embodiment of the present invention, and in this embodiment, on the basis of the foregoing embodiments, parameter configuration is performed on an original commonality parameter to obtain a corresponding commonality parameter configuration table, and a corresponding financing application policy is generated according to the commonality parameter configuration table and the product attribute information, and further detailed.
As shown in fig. 3, the data processing method in this embodiment may specifically include the following steps:
s310, acquiring original common parameters corresponding to financing application of upstream and downstream enterprises of the core enterprise.
And S320, performing parameter definition on the original common parameters to generate a corresponding common parameter definition table.
In this embodiment, the original commonality parameter needs to be defined, which may include but is not limited to defining a commonality parameter code, defining a commonality parameter name, defining a commonality parameter control type, defining a commonality parameter type, and defining a module to which the commonality parameter belongs, so as to generate a corresponding commonality parameter definition table according to the defined commonality parameter. Illustratively, a parameter code corresponding to the common parameter 1 in the common parameter definition table is 001, the common parameter names are the same service provider name and the same product type, the parameter control type is a pull-down menu type, the common parameter type is a character string type, and a module to which the common parameter belongs is an initial review stage module of the core enterprise for upstream and downstream enterprises.
S330, configuring the common parameter definition table based on the pre-configured parameter codes, and generating a corresponding common parameter value table and a common parameter mapping table.
The parameter code may be understood as a parameter code defined in a preconfigured commonality parameter definition table. The parameter code may be represented in a digital form, may also be represented in an english character form, and may also be represented in another code form for distinction, which is not limited herein in this embodiment.
In this embodiment, based on the preconfigured parameter codes, the common parameter definition table may be configured with the corresponding parameter codes, common parameter names, common parameter control types, common parameters, and modules to which the common parameters belong, so as to generate a corresponding common parameter value-taking table and a common parameter mapping table through the parameter codes in the common parameter definition table.
S340, screening the candidate commonality parameters in the commonality parameter configuration table based on the product attribute information to obtain corresponding target commonality parameters.
The candidate commonality parameters can be understood as all commonality parameters in a commonality parameter definition table, a commonality parameter value table and a commonality parameter mapping table. The target commonality parameter can be understood as a commonality parameter obtained after screening the candidate commonality parameters.
In this embodiment, based on the product type, the variety of the credit and the saleable product in the product attribute information, candidate commonality parameters in the commonality parameter definition table, the commonality parameter value table and the commonality parameter mapping table are screened to obtain corresponding target commonality parameters.
And S350, generating a corresponding financing application strategy according to the target commonality parameters.
In this embodiment, after the candidate commonality parameters are screened to obtain the corresponding target commonality parameters, the corresponding financing application strategy can be generated according to the target commonality parameters.
In this embodiment, the commonality parameter definition table is configured based on a preconfigured parameter code, a corresponding commonality parameter value table and a commonality parameter mapping table are generated, candidate commonality parameters in the commonality parameter configuration table are screened based on product attribute information, a corresponding target commonality parameter is obtained, and a corresponding financing application strategy is generated according to the target commonality parameter, so that a user can obtain personalized process service and perform related supply chain financial financing application service by multiplexing a service process and related verification of an existing product only through the commonality parameter configuration.
In an embodiment, to facilitate better understanding of the data processing method, fig. 4 is a flowchart of another data processing method according to an embodiment of the present invention, which can be taken as a preferred embodiment to further describe the data processing method. In this embodiment, the service process and the related verification of the existing product can be reused only by configuring the related parameters, and the process or the related verification can be modified by establishing new parameters.
The number of the module to which the common parameter belongs in this embodiment is represented as a first preset association identifier in the above embodiment, and the number of the service scheme is represented as a second preset association identifier in the above embodiment.
The data processing method in the embodiment specifically includes the following steps:
a1, performing parameter definition on the original common parameters to generate a corresponding common parameter definition table, wherein the common parameter definition table comprises common parameter codes, common parameter names, common parameter control types, common parameter types and common parameter belonged modules.
and a2, configuring a common parameter definition table based on the pre-configured parameter codes to generate a corresponding common parameter value taking table, wherein the common parameter value taking table comprises common parameter codes, common parameter values corresponding to the common parameters and common parameter value taking table numbers.
and a3, configuring the common parameter definition table based on the pre-configured parameter codes to generate a corresponding common parameter mapping table, wherein the common parameter mapping table comprises common parameter codes, product types and product codes.
and a4, screening candidate common parameters in the common parameter configuration table based on the product attribute information to obtain corresponding target common parameters, and generating corresponding financing application strategies according to the target common parameters, wherein the financing application strategies comprise product attribute information, product identification information and product names.
and a5, generating a corresponding core enterprise service scheme based on the product identification information of the target core enterprise and the financing application strategy, wherein the core enterprise service scheme comprises a service scheme number, product identification information, a module number to which the commonality parameter belongs, and product attribute information.
and a6, establishing a mapping relation between the core enterprise service scheme and a service scheme product based on the service scheme number of the core enterprise service scheme, wherein the service scheme product can comprise a service scheme number and a core enterprise client number.
In this embodiment, as can be seen from fig. 4, a mapping relationship between the financing application policy and the commonality parameter value-taking table is established based on the module number to which the commonality parameter belongs; and establishing a mapping relation between a service scheme table corresponding to the core enterprise service scheme and the common parameter value-taking table based on the service scheme number.
In an embodiment, fig. 5 is a flowchart of a generic parameter configuration according to an embodiment of the present invention. As shown in fig. 5, the process includes the following steps: the method comprises the steps of firstly establishing a financing application strategy, wherein the financing application strategy mainly comprises four contents of registration, initial evaluation, splitting and due diligence investigation, and each flow is internally provided with respective verification and verification, for example, the registration process comprises whether a blacklist flow is verified, a blacklist rule is verified, an acceptance mechanism confirmation mode is obtained, whether index transmission is obtained, an index transmission model and the like. And secondly, the core enterprise is allowed to be admitted, the service scheme of the core enterprise is maintained, and the core enterprise can maintain various different financing application strategies according to different business requirements.
In an embodiment, fig. 6 is a relationship diagram of a core enterprise, a service plan and a financing application policy according to an embodiment of the present invention. As shown in fig. 6, according to the enterprise attribute information and/or the product identification information of each core enterprise, the pre-created financing application strategy is configured in a customized manner to generate a core enterprise service plan matching with the core enterprise; on the basis of the core enterprise service scheme, customized configuration is carried out on the core enterprise service scheme based on each product type so as to generate a service scheme product corresponding to each product. It will be appreciated that each core enterprise service offering may correspond to one or more service offering products.
In an embodiment, fig. 7 is a block diagram of a data processing apparatus according to an embodiment of the present invention, which is suitable for a situation when financing data of a financial transaction is processed, and the apparatus may be implemented by hardware/software. The data processing method can be configured in the electronic equipment to realize the data processing method in the embodiment of the invention. As shown in fig. 7, the apparatus includes: an acquisition module 710, a configuration module 720, and a generation module 730.
The acquiring module 710 is configured to acquire an original commonality parameter corresponding to a financing application performed by an upstream enterprise and a downstream enterprise of a core enterprise;
a configuration module 720, configured to configure the original commonality parameter to obtain a corresponding commonality parameter configuration table;
and the generating module 730 is used for generating a corresponding financing application strategy according to the commonality parameter configuration table and the product attribute information.
In the embodiment of the invention, the configuration module performs parameter configuration on the original common parameters to obtain the corresponding common parameter configuration table, and the generation module generates the corresponding financing application strategy according to the common parameter configuration table and the product attribute information, so that a user can obtain personalized flow service and perform related supply chain financial financing application business only through common parameter configuration.
In an embodiment, the data processing apparatus further includes:
the information acquisition module is used for acquiring the product identification information of the target core enterprise after generating the corresponding financing application strategy according to the common parameter configuration table and the product attribute information;
and the scheme generation module is used for generating a corresponding core enterprise service scheme based on the product identification information and the financing application strategy.
In one embodiment, the data processing apparatus further includes:
and the relationship establishing module is used for establishing the mapping relationship between the core enterprise service scheme and the service scheme product based on the service scheme number of the core enterprise service scheme after the corresponding core enterprise service scheme is generated based on the product identification information and the financing application strategy.
In one embodiment, the commonality parameter configuration table comprises: a commonality parameter definition table, a commonality parameter value table and a commonality parameter mapping table.
In one embodiment, the common parameter definition table includes at least one of: a commonality parameter code; a generic parameter name; a commonality parameter control type; a commonality parameter type; and the module to which the common parameters belong.
In one embodiment, the configuration module 720 includes:
the first generating unit is used for carrying out parameter definition on the original commonality parameters and generating a corresponding commonality parameter definition table;
and the second generation unit is used for configuring the common parameter definition table based on a pre-configured parameter code and generating a corresponding common parameter value table and a common parameter mapping table.
In an embodiment, the generating module 730 includes:
the screening unit is used for screening the candidate commonality parameters in the commonality parameter configuration table based on the product attribute information to obtain corresponding target commonality parameters;
and the strategy generating unit is used for generating a corresponding financing application strategy according to the target commonality parameter.
In one embodiment, the standard value determining unit includes:
and the relation determining module is used for establishing a mapping relation between the financing application strategy and the common parameter value taking table based on a first preset association identifier after the corresponding financing application strategy is generated according to the common parameter configuration table and the product attribute information.
In one embodiment, a scenario generation module includes:
the strategy extraction unit is used for identifying and extracting a corresponding financing application strategy based on the product identification information;
and the scheme generating unit is used for generating a corresponding core enterprise service scheme according to the common parameter value taking table associated with the financing application strategy.
In one embodiment, the apparatus further comprises:
and the relationship generation module is used for establishing a mapping relationship between a service scheme table corresponding to the core enterprise service scheme and the common parameter value-taking table based on a second preset association identifier.
In one embodiment, the product attribute information includes at least one of: a product type; a variety of credit is awarded; the product can be sold.
The data processing device provided by the embodiment of the invention can execute the data processing method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
In an embodiment, fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 8, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as a data processing method.
In some embodiments, the data processing method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the data processing method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the data processing method by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
In an embodiment, an embodiment of the present invention further includes a computer program product, where the computer program product includes a computer program, and when the computer program is executed by a processor, the computer program implements the data processing method according to any embodiment of the present invention.
Computer program product in implementing the computer program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (15)
1. A data processing method, comprising:
acquiring original common parameters corresponding to financing applications of upstream and downstream enterprises of a core enterprise;
configuring the original common parameter pair parameters to obtain a corresponding common parameter configuration table;
and generating a corresponding financing application strategy according to the commonality parameter configuration table and the product attribute information.
2. The method of claim 1, after generating a corresponding financing application strategy based on the commonality parameter configuration table and product attribute information, further comprising:
acquiring product identification information of a target core enterprise;
and generating a corresponding core enterprise service scheme based on the product identification information and the financing application strategy.
3. The method of claim 1, further comprising, after said generating a corresponding core enterprise service offering based on said product identification information and said financing application policy:
and establishing a mapping relation between the core enterprise service scheme and the service scheme product based on the service scheme number of the core enterprise service scheme.
4. The method according to any of claims 1-3, wherein the commonality parameter configuration table comprises: a common parameter definition table, a common parameter value table and a common parameter mapping table.
5. The method of claim 4, wherein the commonality parameter definition table includes at least one of: a commonality parameter code; a generic parameter name; a commonality parameter control type; a commonality parameter type; and the module to which the common parameters belong.
6. The method according to claim 4, wherein said configuring the original parameters of the commonality parameter pair to obtain a corresponding parameter configuration table of commonality, comprises:
performing parameter definition on the original common parameters to generate a corresponding common parameter definition table;
and configuring the common parameter definition table based on a pre-configured parameter code to generate a corresponding common parameter value table and a common parameter mapping table.
7. The method according to any one of claims 1-3, wherein generating a corresponding financing application strategy based on the commonality parameter profile and product attribute information comprises:
screening candidate common parameters in the common parameter configuration table based on product attribute information to obtain corresponding target common parameters;
and generating a corresponding financing application strategy according to the target commonality parameter.
8. The method of claim 4, after generating the corresponding financing application strategy according to the commonality parameter configuration table and product attribute information, further comprising:
and establishing a mapping relation between the financing application strategy and the common parameter value-taking table based on a first preset association identifier.
9. The method of claim 2, wherein generating the corresponding core enterprise service offering based on the product identification information and the financing application policy comprises:
identifying and extracting a corresponding financing application strategy based on the product identification information;
and generating a corresponding core enterprise service scheme according to the common parameter value-taking table associated with the financing application strategy.
10. The method of claim 4, further comprising:
and establishing a mapping relation between a service scheme table corresponding to the core enterprise service scheme and the common parameter value-taking table based on a second preset association identifier.
11. The method of claim 1, wherein the product attribute information includes at least one of: a product type; a variety of credit; the product can be sold.
12. A data processing apparatus, characterized by comprising:
the acquisition module is used for acquiring original common parameters corresponding to financing applications of upstream and downstream enterprises of the core enterprise;
the configuration module is used for configuring the original common parameter pair parameters to obtain a corresponding common parameter configuration table;
and the generating module is used for generating a corresponding financing application strategy according to the commonality parameter configuration table and the product attribute information.
13. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the data processing method of any one of claims 1-11.
14. A computer-readable storage medium, having stored thereon computer instructions for causing a processor, when executing the computer instructions, to implement the data processing method of any one of claims 1-11.
15. A computer program product, characterized in that the computer program product comprises a computer program which, when being executed by a processor, carries out the data processing method according to any one of claims 1-11.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211216648.3A CN115526711A (en) | 2022-09-30 | 2022-09-30 | Data processing method, device, equipment, medium and product |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211216648.3A CN115526711A (en) | 2022-09-30 | 2022-09-30 | Data processing method, device, equipment, medium and product |
Publications (1)
Publication Number | Publication Date |
---|---|
CN115526711A true CN115526711A (en) | 2022-12-27 |
Family
ID=84701699
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211216648.3A Pending CN115526711A (en) | 2022-09-30 | 2022-09-30 | Data processing method, device, equipment, medium and product |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115526711A (en) |
-
2022
- 2022-09-30 CN CN202211216648.3A patent/CN115526711A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111221855B (en) | Data processing method and device | |
CN115496157A (en) | Classification model training method and device, electronic equipment and storage medium | |
CN116071150A (en) | Data processing method, bank product popularization, wind control system, server and medium | |
CN115659347A (en) | Safety testing method and device, electronic equipment and storage medium | |
CN115438643A (en) | Questionnaire template configuration method, device, equipment, storage medium and product | |
CN115526711A (en) | Data processing method, device, equipment, medium and product | |
CN115757304A (en) | Log storage method, device and system, electronic equipment and storage medium | |
CN115421728A (en) | Business code generation method and device, electronic equipment and storage medium | |
CN113360672A (en) | Methods, apparatus, devices, media and products for generating a knowledge graph | |
CN114021642A (en) | Data processing method and device, electronic equipment and storage medium | |
CN118172020A (en) | Data restoration method, device, equipment, storage medium and program product | |
CN115481090A (en) | File processing method and device, electronic equipment and storage medium | |
CN117009356A (en) | Method, device and equipment for determining application success of public data | |
CN117667894A (en) | Data migration method, device, electronic equipment and storage medium | |
CN115080111A (en) | Method, device and equipment for flow management of target application and storage medium | |
CN115827743A (en) | Auditing method, device, equipment and storage medium | |
CN114840510A (en) | Method, apparatus, device, medium, and program product for verifying data quality | |
CN116308713A (en) | Multiplexing method and device for business transaction codes, electronic equipment and storage medium | |
CN117251196A (en) | Data maintenance method, device, equipment and storage medium | |
CN114721942A (en) | Test data generation method, device, equipment and storage medium | |
CN116974621A (en) | Parameter configuration method, device and equipment | |
CN118014264A (en) | Service flow deployment method and device, electronic equipment and storage medium | |
CN114627410A (en) | Video verification method and related device for obtaining service | |
CN114461963A (en) | Interface access method and device, electronic equipment and storage medium | |
CN115293903A (en) | Guarantee risk prediction method, guarantee risk prediction device, guarantee risk prediction equipment and storage medium |
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 |