Data processing method and device, computer equipment, readable storage medium and product

Abstract

The invention relates to a data processing method and device, computer equipment, a readable storage medium and a product. The method comprises the following steps: acquiring associated data of a to-be-settled enterprise; classifying the associated data according to the data source of the associated data to obtain the data type of the associated data; determining a processing strategy of the associated data according to the data type of the associated data; wherein the processing strategy comprises a processing sequence and a processing program; and processing the associated data based on the corresponding processing program according to the processing sequence of the associated data. By adopting the method, the data processing efficiency can be improved.

Description

Technical Field

[0001] The present application relates to the field of big data technology, and in particular to a data processing method, apparatus, computer equipment, readable storage medium and product. Background Art

[0002] With the development of big data technology, the cooperation between merchants and external enterprises and various platforms is becoming increasingly close. During the settlement process, merchants and external enterprises need to initialize the information to be uploaded. The information to be uploaded includes a large amount of multi-dimensional data such as basic enterprise information, personnel information, permission configuration data and business data.

[0003] However, the method of processing multi-dimensional data in related technologies is not clear and the processing efficiency is relatively low. In the above scenarios, better data processing effects cannot be achieved. Summary of the invention

[0004] Based on this, it is necessary to provide a data processing method, device, computer equipment, readable storage medium and product that can improve data processing efficiency in response to the above technical problems.

[0005] In a first aspect, the present application provides a data processing method, comprising:

[0006] Obtain relevant data of the enterprise to be settled;

[0007] According to the data source of the associated data, the associated data is classified to obtain the data type of the associated data;

[0008] Determine a processing strategy for the associated data according to the data type of the associated data; wherein the processing strategy includes a processing order and a processing procedure;

[0009] The associated data are processed in the order in which they are processed and based on the corresponding processing procedures.

[0010] In one embodiment, the associated data is classified according to the data source of the associated data to obtain the data type of the associated data, including:

[0011] If the data source of the associated data is the management party, the data type of the associated data is determined to be management data;

[0012] If the data source of the associated data is the service provider, the data type of the associated data is determined to be service-type data.

[0013] In one embodiment, determining a processing strategy for the associated data according to the data type of the associated data includes:

[0014] For any associated data, the associated data is input into a pre-trained data processing order determination model to obtain a processing order for the associated data;

[0015] Among them, the data processing order determination model is trained in the following way:

[0016] For any sample data, the sample data is input into the data processing sequence determination model to obtain the predicted processing sequence corresponding to the sample data;

[0017] The data processing sequence determination model is trained according to the predicted processing sequence and the standard processing sequence corresponding to the corresponding sample data.

[0018] In one embodiment, after inputting the associated data into a pre-trained data processing order determination model to obtain the processing order of each associated data, the method further includes:

[0019] Determine the processing procedure of the associated data according to the processing order of the associated data and the preset mapping relationship;

[0020] The preset mapping relationship is determined in the following way:

[0021] obtaining a reference processing sequence of sample-associated data and a reference processing procedure of the sample-associated data;

[0022] The corresponding relationship between the reference processing sequence and the reference processing program of different sample-related data is determined, and the corresponding relationship is used as a preset mapping relationship.

[0023] In one embodiment, after the associated data is processed based on the corresponding processing procedure, the method further includes:

[0024] If the processing fails, the associated data is adjusted, and the data type determination operation is re-executed based on the adjusted associated data until the associated data is successfully processed.

[0025] In one embodiment, after the associated data is processed based on the corresponding processing procedure, the method further includes:

[0026] If the processing is successful, the recipient of the data processing result is determined based on the data source of the associated data;

[0027] Based on the data receiving mode corresponding to the receiver, the data processing result of the associated data is fed back.

[0028] In a second aspect, the present application further provides a data processing device, comprising:

[0029] A data acquisition module is used to obtain relevant data of the enterprise to be settled;

[0030] A type determination module, used to classify the associated data according to the data source of the associated data, and obtain the data type of the associated data;

[0031] A strategy determination module, used to determine a processing strategy for the associated data according to the data type of the associated data; wherein the processing strategy includes a processing sequence and a processing procedure;

[0032] The data processing module is used to process the associated data according to the processing order of the associated data and based on the corresponding processing program.

[0033] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0034] Obtain relevant data of the enterprise to be settled;

[0035] According to the data source of the associated data, the associated data is classified to obtain the data type of the associated data;

[0036] Determine a processing strategy for the associated data according to the data type of the associated data; wherein the processing strategy includes a processing order and a processing procedure;

[0037] The associated data are processed in the order in which they are processed and based on the corresponding processing procedures.

[0038] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0039] Obtain relevant data of the enterprise to be settled;

[0040] According to the data source of the associated data, the associated data is classified to obtain the data type of the associated data;

[0041] Determine a processing strategy for the associated data according to the data type of the associated data; wherein the processing strategy includes a processing order and a processing procedure;

[0042] The associated data are processed in the order in which they are processed and based on the corresponding processing procedures.

[0043] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0044] Obtain relevant data of the enterprise to be settled;

[0045] According to the data source of the associated data, the associated data is classified to obtain the data type of the associated data;

[0046] Determine a processing strategy for the associated data according to the data type of the associated data; wherein the processing strategy includes a processing order and a processing procedure;

[0047] The associated data are processed in the order in which they are processed and based on the corresponding processing procedures.

[0048] The above-mentioned data processing methods, devices, computer equipment, readable storage media and products, before processing the associated data of the settled enterprises, will classify the associated data according to the data source of the associated data and determine the data type of the associated data. And according to the data type of the associated data, determine the processing strategy of different associated data. Then, based on the corresponding processing strategy, process the corresponding associated data. Compared with the prior art of directly processing data after obtaining the associated data, in this application, different data processing strategies are adopted for different associated data, which can make data processing more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1 is a flow chart of a data processing method in one embodiment;

[0051] Figure 2 A schematic diagram of a flow chart of a data type determination step in one embodiment;

[0052] Figure 3 A schematic diagram of a process flow of a processing strategy determination step in one embodiment;

[0053] Figure 4 A schematic diagram of a flow chart of a data adjustment step in an embodiment;

[0054] Figure 5 is a flow chart of a data processing method in another embodiment;

[0055] Figure 6 is a structural block diagram of a data processing device in one embodiment;

[0056] Figure 7 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0058] In one embodiment, Figure 1 As shown, a data processing method is provided. This embodiment takes the method applied to a terminal as an example. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0059] S110, obtaining the relevant data of the enterprise to be settled.

[0060] Specifically, in this embodiment, when an enterprise is settled in, various data of the enterprise will be input, and all the data input by the enterprise will be used as the associated data of the enterprise to be settled in.

[0061] S120, classifying the associated data according to the data source of the associated data to obtain the data type of the associated data.

[0062] Optionally, each associated data has a different data identifier corresponding to it, and different data identifiers have different data types corresponding to them. Accordingly, the associated data can be classified according to the data identifier to obtain the data type of the associated data.

[0063] Exemplarily, the correspondence between the sample data identifier and the sample data type is predetermined, and for any associated data, the data identifier corresponding to the associated data and the sample data type corresponding in the correspondence are used as the data type of the associated data.

[0064] S130: Determine a processing strategy for the associated data according to the data type of the associated data.

[0065] The processing strategy includes a processing order and a processing procedure. The processing order represents the order of the associated data in the entire data processing process. The processing procedure represents the processing method or processing logic corresponding to the associated data.

[0066] In an optional embodiment, the correspondence between different sample data types and sample processing strategies is predetermined, and for any associated data, the sample processing strategy corresponding to the data type of the associated data in the correspondence is used as the processing strategy for the associated data.

[0067] In an optional embodiment, the data type of the associated data can be input into a pre-trained processing strategy determination model to obtain the processing strategy of the corresponding associated data. For any sample data, the sample type of the sample data is input into the processing strategy determination model to obtain the predicted processing strategy corresponding to the sample type; and the processing strategy determination model is trained according to the predicted processing strategy and the standard processing strategy corresponding to the corresponding sample type to improve the model accuracy of the processing strategy determination model.

[0068] S140, processing the associated data according to the processing order of the associated data and based on the corresponding processing procedure.

[0069] In the above data processing method, before the associated data of the settled enterprise is processed, the associated data will be classified according to the data source of the associated data to determine the data type of the associated data. And according to the data type of the associated data, the processing strategy of different associated data is determined. Then, based on the corresponding processing strategy, the corresponding associated data is processed. Compared with the prior art of directly processing the associated data after obtaining the associated data, in this application, different data processing strategies are adopted for different associated data, which can make the data processing more accurate.

[0070] Based on the technical solutions of the above embodiments, the present application also provides an optional embodiment. In this optional embodiment, the process of classifying the associated data according to the data source of the associated data and obtaining the data type of the associated data is described in detail.

[0071] See also Figure 2 The steps for determining the data type shown include:

[0072] S210, determining the data source of the associated data.

[0073] Exemplarily, the source identifiers corresponding to the associated data have different data sources corresponding to different source identifiers. Specifically, this embodiment can determine the data source of the corresponding associated data according to the source identifiers of the associated data.

[0074] S220: If the data source of the associated data is the management party, determine that the data type of the associated data is management data.

[0075] The management data may include at least one of enterprise information, manager authority, and manager information.

[0076] S230: If the data source of the associated data is the service provider, determine that the data type of the associated data is service data.

[0077] The service data may include at least one of employee information, employee task assignment, and employee type.

[0078] In the above embodiment, the data types of different associated data are determined according to the data sources of the associated data, so that the method of determining the data type is simpler.

[0079] Based on the technical solutions of the above embodiments, the present application also provides an optional embodiment. In this optional embodiment, the process of determining the processing strategy of the associated data according to the data type of the associated data is refined.

[0080] See also Figure 3 The steps for determining the processing strategy shown include:

[0081] S310, for any associated data, input the associated data into a pre-trained data processing sequence determination model to obtain a processing sequence for the associated data.

[0082] Among them, the data processing order determination model is trained in the following way: for any sample data, the sample data is input into the data processing order determination model to obtain the predicted processing order corresponding to the sample data; according to the predicted processing order and the standard processing order corresponding to the corresponding sample data, the data processing order determination model is trained.

[0083] Specifically, the associated data is input into the data processing sequence determination model, the model analyzes and processes the associated data, and outputs the processing sequence of the corresponding associated data.

[0084] Furthermore, after determining the processing order of each associated data, the processing procedure of each associated data can be determined based on the following method: determining the processing procedure of the associated data according to the processing order of the associated data and a preset mapping relationship; wherein the preset mapping relationship is determined in the following manner: obtaining a reference processing order of the sample associated data, and a reference processing procedure of the sample associated data; determining the correspondence between the reference processing order of different sample associated data and the reference processing procedure, and using the correspondence as the preset mapping relationship.

[0085] In the above embodiment, a specific method for determining the processing strategy of associated data is provided, which makes the determination of the data processing strategy clearer and simpler.

[0086] It should be noted that the above method is only an exemplary method provided by the present application. In another optional embodiment, after classifying the data and obtaining the data type of each associated data, the sorting order specified by each node can be sorted by a quick sort method. After the sorting is completed, the data initialization operation is performed through the iterator. After the initialization is completed, the processing program of the corresponding associated data is determined based on the processing order of each associated data.

[0087] Based on the technical solutions of the above embodiments, the present application also provides an optional embodiment. In this optional embodiment, the steps after the associated data is processed based on the corresponding processing program are introduced.

[0088] See also Figure 4 The data adjustment steps shown include:

[0089] start.

[0090] S410, determining whether the processing of the associated data is successful, if so, executing S420, if not, executing S440.

[0091] S420, determining a recipient of the data processing result according to the data source of the associated data.

[0092] Exemplarily, if the data source is the management party, the recipient of the data processing result is determined to be the management party; if the data source is the service party, the recipient of the data processing result is determined to be the service party.

[0093] S430, based on the data receiving mode corresponding to the receiving party, feeding back the data processing result of the associated data.

[0094] For example, in this embodiment, different receiving parties have different data receiving modes, which can be set by the receiving party in advance on demand or automatically set by the system, and this application does not impose any restrictions on this. For example, the data receiving mode corresponding to the management party can be email notification; the receiving mode corresponding to the service party can be SMS notification.

[0095] S440, adjusting the associated data, and re-performing the data type determination operation based on the adjusted associated data, until the associated data is successfully processed.

[0096] Exemplarily, if the processing fails, a failure reminder may be output, so that the data administrator can adjust the associated data based on the failure reminder and re-execute the data type determination operation based on the adjusted associated data until the associated data is successfully processed.

[0097] In the above embodiments, the subsequent process of data processing provided makes the data processing solution provided by the present application more complete.

[0098] Based on the technical solutions of the above embodiments, the present application also provides an optional embodiment. In this optional embodiment, the data processing method provided by the present application is introduced in detail.

[0099] See also Figure 5 The data processing method shown comprises:

[0100] S510, obtaining the relevant data of the enterprise to be settled;

[0101] S520, performing initialization processing on the associated data to obtain initialized associated data;

[0102] S530A, if the data source of the associated data is the management party, determine that the data type of the associated data is management data;

[0103] S530B, if the data source of the associated data is the service provider, determining that the data type of the associated data is service data;

[0104] S540, for any associated data, input the associated data into a pre-trained data processing order determination model to obtain a processing order for the associated data;

[0105] S550, determining a processing procedure for the associated data according to a processing order of the associated data and a preset mapping relationship;

[0106] S560, processing the associated data according to the processing order of the associated data and based on the corresponding processing procedure, if the processing fails, executing S570, if the processing succeeds, executing S580;

[0107] S570, adjusting the associated data, and re-performing the data type determination operation based on the adjusted associated data, until the associated data is successfully processed;

[0108] S580, determining a recipient of the data processing result according to the data source of the associated data;

[0109] S590, based on the data receiving mode corresponding to the receiving party, feeding back the data processing result of the associated data.

[0110] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0111] Based on the same inventive concept, the embodiment of the present application also provides a data processing device for implementing the data processing method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the one or more data processing device embodiments provided below can refer to the limitations on the data processing method above, and will not be repeated here.

[0112] In an exemplary embodiment, Figure 6 As shown, a data processing device is provided, including: a data acquisition module 610, a type determination module 620, a strategy determination module 630 and a data processing module 640, wherein:

[0113] The data acquisition module 610 is used to acquire the relevant data of the enterprise to be settled.

[0114] The type determination module 620 is used to classify the associated data according to the data source of the associated data to obtain the data type of the associated data.

[0115] The strategy determination module 630 is used to determine a processing strategy for the associated data according to the data type of the associated data.

[0116] Among them, the processing strategy includes processing order and processing procedure.

[0117] The data processing module 640 is used to process the associated data according to the processing order of the associated data and based on the corresponding processing procedure.

[0118] In one embodiment, the type determination module 620 includes a first determination unit for determining that the data type of the associated data is management data if the data source of the associated data is the management party; and a second determination unit for determining that the data type of the associated data is service data if the data source of the associated data is the service party.

[0119] In one embodiment, the strategy determination module 630 is specifically used to input the associated data into a pre-trained data processing order determination model for any associated data to obtain the processing order of the associated data; wherein the data processing order determination model is trained in the following manner: for any sample data, the sample data is input into the data processing order determination model to obtain the predicted processing order corresponding to the sample data; and the data processing order determination model is trained according to the predicted processing order and the standard processing order corresponding to the corresponding sample data.

[0120] In one embodiment, the policy determination module 630 is also used to determine the processing procedure of the associated data based on the processing order of the associated data and the preset mapping relationship; wherein the preset mapping relationship is determined in the following manner: obtaining a reference processing order of the sample associated data and a reference processing procedure of the sample associated data; determining the correspondence between the reference processing order and the reference processing procedure of different sample associated data, and using the correspondence as the preset mapping relationship.

[0121] In one embodiment, the data processing device further includes a data adjustment module, which is used to adjust the associated data if the processing fails, and re-execute the data type determination operation based on the adjusted associated data until the associated data is successfully processed.

[0122] In one embodiment, the data processing device further includes a data feedback module for determining the recipient of the data processing result according to the data source of the associated data if the processing is successful; and feeding back the data processing result of the associated data based on the data receiving mode corresponding to the recipient.

[0123] Each module in the above data processing device can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0124] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 7As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a data processing method is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0125] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0126] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0127] Obtain relevant data of the enterprise to be settled;

[0128] According to the data source of the associated data, the associated data is classified to obtain the data type of the associated data;

[0129] Determine a processing strategy for the associated data according to the data type of the associated data; wherein the processing strategy includes a processing order and a processing procedure;

[0130] The associated data are processed in the order in which they are processed and based on the corresponding processing procedures.

[0131] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0132] If the data source of the associated data is the management party, the data type of the associated data is determined to be management data;

[0133] If the data source of the associated data is the service provider, the data type of the associated data is determined to be service-type data.

[0134] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0135] For any associated data, the associated data is input into a pre-trained data processing order determination model to obtain a processing order for the associated data;

[0136] Among them, the data processing order determination model is trained in the following way:

[0137] For any sample data, the sample data is input into the data processing sequence determination model to obtain the predicted processing sequence corresponding to the sample data;

[0138] The data processing sequence determination model is trained according to the predicted processing sequence and the standard processing sequence corresponding to the corresponding sample data.

[0139] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0140] Determine the processing procedure of the associated data according to the processing order of the associated data and the preset mapping relationship;

[0141] The preset mapping relationship is determined in the following way:

[0142] obtaining a reference processing sequence of sample-associated data and a reference processing procedure of the sample-associated data;

[0143] The corresponding relationship between the reference processing sequence and the reference processing program of different sample-related data is determined, and the corresponding relationship is used as a preset mapping relationship.

[0144] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0145] If the processing fails, the associated data is adjusted, and the data type determination operation is re-executed based on the adjusted associated data until the associated data is successfully processed.

[0146] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0147] If the processing is successful, the recipient of the data processing result is determined based on the data source of the associated data;

[0148] Based on the data receiving mode corresponding to the receiver, the data processing result of the associated data is fed back.

[0149] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0150] Obtain relevant data of the enterprise to be settled;

[0151] According to the data source of the associated data, the associated data is classified to obtain the data type of the associated data;

[0152] Determine a processing strategy for the associated data according to the data type of the associated data; wherein the processing strategy includes a processing order and a processing procedure;

[0153] The associated data are processed in the order in which they are processed and based on the corresponding processing procedures.

[0154] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0155] If the data source of the associated data is the management party, the data type of the associated data is determined to be management data;

[0156] If the data source of the associated data is the service provider, the data type of the associated data is determined to be service-type data.

[0157] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0158] For any associated data, the associated data is input into a pre-trained data processing order determination model to obtain a processing order for the associated data;

[0159] Among them, the data processing order determination model is trained in the following way:

[0160] For any sample data, the sample data is input into the data processing sequence determination model to obtain the predicted processing sequence corresponding to the sample data;

[0161] The data processing sequence determination model is trained according to the predicted processing sequence and the standard processing sequence corresponding to the corresponding sample data.

[0162] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0163] Determine the processing procedure of the associated data according to the processing order of the associated data and the preset mapping relationship;

[0164] The preset mapping relationship is determined in the following way:

[0165] obtaining a reference processing sequence of sample-associated data and a reference processing procedure of the sample-associated data;

[0166] The corresponding relationship between the reference processing sequence and the reference processing program of different sample-related data is determined, and the corresponding relationship is used as a preset mapping relationship.

[0167] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0168] If the processing fails, the associated data is adjusted, and the data type determination operation is re-executed based on the adjusted associated data until the associated data is successfully processed.

[0169] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0170] If the processing is successful, the recipient of the data processing result is determined based on the data source of the associated data;

[0171] Based on the data receiving mode corresponding to the receiver, the data processing result of the associated data is fed back.

[0172] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0173] Obtain relevant data of the enterprise to be settled;

[0174] According to the data source of the associated data, the associated data is classified to obtain the data type of the associated data;

[0175] Determine a processing strategy for the associated data according to the data type of the associated data; wherein the processing strategy includes a processing order and a processing procedure;

[0176] The associated data are processed in the order in which they are processed and based on the corresponding processing procedures.

[0177] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0178] If the data source of the associated data is the management party, the data type of the associated data is determined to be management data;

[0179] If the data source of the associated data is the service provider, the data type of the associated data is determined to be service-type data.

[0180] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0181] For any associated data, the associated data is input into a pre-trained data processing order determination model to obtain a processing order for the associated data;

[0182] Among them, the data processing order determination model is trained in the following way:

[0183] For any sample data, the sample data is input into the data processing sequence determination model to obtain the predicted processing sequence corresponding to the sample data;

[0184] The data processing sequence determination model is trained according to the predicted processing sequence and the standard processing sequence corresponding to the corresponding sample data.

[0185] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0186] Determine the processing procedure of the associated data according to the processing order of the associated data and the preset mapping relationship;

[0187] The preset mapping relationship is determined in the following way:

[0188] obtaining a reference processing sequence of sample-associated data and a reference processing procedure of the sample-associated data;

[0189] The corresponding relationship between the reference processing sequence and the reference processing program of different sample-related data is determined, and the corresponding relationship is used as a preset mapping relationship.

[0190] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0191] If the processing fails, the associated data is adjusted, and the data type determination operation is re-executed based on the adjusted associated data until the associated data is successfully processed.

[0192] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0193] If the processing is successful, the recipient of the data processing result is determined based on the data source of the associated data;

[0194] Based on the data receiving mode corresponding to the receiver, the data processing result of the associated data is fed back.

[0195] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0196] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0197] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A data processing method, characterized in that: The method comprises: Obtain relevant data of the enterprise to be settled; Classifying the associated data according to the data source of the associated data to obtain the data type of the associated data; Determine a processing strategy for the associated data according to the data type of the associated data; wherein the processing strategy includes a processing sequence and a processing procedure; The associated data are processed according to the processing order of the associated data and based on the corresponding processing procedures.

2. The method according to claim 1, characterized in that The classifying the associated data according to the data source of the associated data to obtain the data type of the associated data includes: If the data source of the associated data is the management party, determining that the data type of the associated data is management data; If the data source of the associated data is a service provider, it is determined that the data type of the associated data is service-type data.

3. The method according to claim 1, characterized in that The determining, according to the data type of the associated data, a processing strategy for the associated data includes: For any associated data, input the associated data into a pre-trained data processing order determination model to obtain a processing order for the associated data; The data processing sequence determination model is trained in the following manner: For any sample data, the sample data is input into a data processing sequence determination model to obtain a predicted processing sequence corresponding to the sample data; The data processing sequence determination model is trained according to the predicted processing sequence and the standard processing sequence corresponding to the corresponding sample data.

4. The method according to claim 3, characterized in that After inputting the associated data into a pre-trained data processing sequence determination model to obtain the processing sequence of each associated data, the method further includes: Determining a processing procedure for the associated data according to a processing order of the associated data and a preset mapping relationship; The preset mapping relationship is determined in the following manner: Acquiring a reference processing sequence of sample-associated data and a reference processing procedure of the sample-associated data; The corresponding relationship between the reference processing sequence of different sample-related data and the reference processing program is determined, and the corresponding relationship is used as the preset mapping relationship.

5. The method according to any one of claims 1 to 4, characterized in that After the associated data is processed based on the corresponding processing program, the method further includes: If the processing fails, the associated data is adjusted, and the data type determination operation is re-executed based on the adjusted associated data until the associated data is successfully processed.

6. The method according to any one of claims 1 to 4, characterized in that After the associated data is processed based on the corresponding processing program, the method further includes: If the processing is successful, the recipient of the data processing result is determined according to the data source of the associated data; Based on the data receiving mode corresponding to the receiving party, the data processing result of the associated data is fed back.

7. A data processing device, characterized in that: The device comprises: A data acquisition module is used to obtain relevant data of the enterprise to be settled; A type determination module, used to classify the associated data according to the data source of the associated data to obtain the data type of the associated data; A strategy determination module, used to determine a processing strategy for the associated data according to the data type of the associated data; wherein the processing strategy includes a processing sequence and a processing procedure; The data processing module is used to process the associated data according to the processing order of the associated data and based on the corresponding processing program.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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