Data processing method and device, electronic equipment and storage medium

Abstract

The invention provides a data processing method and device, electronic equipment and a storage medium. The method comprises the steps of responding to a processing instruction of a business processing item; obtaining demand data corresponding to a business processing item based on the processing instruction; processing the demand data, and determining a data flow path of the business processing item; and performing data processing according to the data flow path to complete processing of the business processing item. In the embodiment of the invention, a processing instruction of a business processing item is responded; demand data corresponding to the business processing item is determined; according to the technical scheme, the stage tasks needing to be audited and implemented are determined based on the demand data, so that the corresponding employees can process the stage tasks conveniently, manual assistance is not needed, the employees needing to process the demand data are automatically determined, data leakage and counterfeiting are avoided, and management and control of the data are achieved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a data processing method, device, electronic equipment and storage medium. Background Art

[0002] Banks often need to generate and process massive amounts of financial data, and use large amounts of data when conducting business, such as data extraction and data reporting applications.

[0003] Currently, when users need to handle a business processing project, they often manually take the data that needs to be circulated by various departments to the next processing department to extract the demand data of the business processing project, review the demand data, and implement the demand data. Since manual processing is required, data leakage and falsification are prone to occur, resulting in insufficient data control. Summary of the invention

[0004] In view of this, embodiments of the present invention provide a data processing method, device, electronic device and storage medium to solve the problem in the prior art that data leakage and falsification are prone to occur, resulting in insufficient control over data.

[0005] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0006] A first aspect of an embodiment of the present invention shows a data processing method, the method comprising:

[0007] Respond to processing instructions for business processing items;

[0008] Acquire demand data corresponding to the business processing item based on the processing instruction;

[0009] Processing the demand data to determine the data flow path of the business processing project;

[0010] Data processing is performed according to the data flow path to complete the processing of the business processing project.

[0011] Optionally, processing the demand data to determine a data flow path for the business processing project includes:

[0012] Based on the employee data of each employee and the demand data, a plurality of tasks in the same stage and corresponding task processing information are determined;

[0013] The stage tasks and task processing information are sorted according to the completion time of each stage task to obtain a data flow path.

[0014] Optionally, processing is performed based on the employee data of each employee and the demand data to determine a plurality of tasks at the same stage and corresponding task processing information, including:

[0015] Analyze the demand data according to the key features to obtain multiple stage tasks;

[0016] Corresponding task processing information is determined based on the employee data of each employee and the stage tasks.

[0017] Optionally, performing data processing according to the data flow path to complete the processing of the business processing item includes:

[0018] Determine the task processing information corresponding to the stage task that needs to be processed currently according to the data flow path;

[0019] Sending corresponding stage tasks to corresponding processing employees based on the task processing information so that the processing employees receive the stage tasks;

[0020] When it is detected that the processing employee receives the stage task, the state of the stage task is changed to an implementing state;

[0021] If processed data corresponding to the stage task is received within the processing time corresponding to the stage task, the implementing state is changed to the completed state so as to determine the task processing information corresponding to the next stage task to be processed according to the data flow path until all the stage tasks are processed.

[0022] Optionally, also include:

[0023] If it is determined that the processing employee has not received the stage task within the first time, or has not received the processed data corresponding to the stage task within the processing time corresponding to the stage task, a urging instruction is sent to the processing employee.

[0024] Optionally, also include:

[0025] When it is determined that the state of the stage task is a completed state, the demand data is associated with the processed data.

[0026] Optionally, also include:

[0027] In the process of processing data according to the data flow path, the status of tasks at each stage is recorded;

[0028] The status of each stage of the recorded tasks is generated into an implementation progress update at preset time intervals and sent to the personnel who need the data.

[0029] A second aspect of an embodiment of the present invention shows a data processing device, the device comprising:

[0030] A response module is used to respond to processing instructions of business processing items;

[0031] An acquisition module, used to acquire demand data corresponding to the business processing project based on the processing instruction;

[0032] The processing module is used to process the demand data and determine the data flow path of the business processing project; and perform data processing according to the data flow path to complete the processing of the business processing project.

[0033] A third aspect of an embodiment of the present invention shows an electronic device, which is used to run a program, wherein the program executes the data processing method shown in the first aspect of the embodiment of the present invention when it is run.

[0034] A fourth aspect of an embodiment of the present invention shows a storage medium, which includes a storage program, wherein when the program is running, the device where the storage medium is located is controlled to execute the data processing method shown in the first aspect of the embodiment of the present invention.

[0035] Based on the above-mentioned embodiment of the present invention, a data processing method, device, electronic device and storage medium are provided, and the method includes: responding to the processing instruction of the business processing project; obtaining the demand data corresponding to the business processing project based on the processing instruction; processing the demand data to determine the data flow path of the business processing project; and performing data processing according to the data flow path to complete the processing of the business processing project. In the embodiment of the present invention, responding to the processing instruction of the business processing project; determining the demand data corresponding to the business processing project; based on the demand data, determining the stage tasks that need to be reviewed and implemented so that the corresponding employees can process them, so that no manual assistance is required, and the employees who need to process the demand data are automatically determined, thereby avoiding data leakage and falsification, so as to achieve data control. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0037] Figure 1 A schematic flow chart of a data processing method according to an embodiment of the present invention;

[0038] Figure 2A schematic diagram of determining a data flow path for a business processing project according to an embodiment of the present invention;

[0039] Figure 3 A schematic diagram of data processing shown in an embodiment of the present invention;

[0040] Figure 4 The present invention is a schematic diagram of the structure of a data processing device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0043] It should be noted that the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0044] In this application, the terms "comprises", "comprising" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element.

[0045] See also Figure 1 , is a flow chart of a data processing method according to an embodiment of the present invention, the method comprising:

[0046] Step S101: responding to a processing instruction of a business processing item;

[0047] Step S102: acquiring demand data corresponding to the business processing item based on the processing instruction;

[0048] Optionally, the user of data demand triggers the processing instruction of the corresponding business processing project through the data processing system, that is, the data demand detail query instruction.

[0049] In the process of specifically implementing step S101 to step S102, the system responds to the processing instructions of the business processing project to display the business data entry interface so that the user can enter the release requirement number, requirement description, requirement person in charge, requirement application date, expected completion date of the requirement, sensitive information items involved in the requirement, and related attachments and other requirement data.

[0050] It should be noted that the demand data also includes extracting corresponding data from the database according to the demand description, or obtaining data reports from the data for subsequent application.

[0051] This business processing project is a data demand proposed by the demand personnel.

[0052] Step S103: Process the demand data to determine the data flow path of the business processing project;

[0053] It should be noted that, in the specific implementation of step S103, Figure 2 As shown, the following steps are included:

[0054] Step S201: performing processing based on the employee data of each employee and the demand data to determine a plurality of tasks in the same stage and corresponding task processing information.

[0055] Wherein, the task processing information includes processing employee information;

[0056] It should be noted that the specific process of implementing step S202 includes:

[0057] Step S11: Analyze the demand data according to the key features to obtain multiple stage tasks.

[0058] In the specific implementation of step S11, the key features are written into the first recognition model so that the first recognition model processes the requirement description in the key features, determines the corresponding multiple stage tasks, and the processing time of each stage task.

[0059] It should be noted that the specific process of constructing the first recognition model includes:

[0060] First, collect multiple historical demand data and actual task data;

[0061] It should be noted that the actual task data includes the historical stage tasks corresponding to each historical demand data, wherein the historical stage tasks include the data range that can be viewed in each round of processing, task requirements, and the processing time of each stage task point, and it is used as a sample set;

[0062] It should be noted that the time that can be processed for tasks in each stage is before the expected completion date of the historical demand data.

[0063] Next, the sample set is trained and learned to obtain an initial model, and the historical demand data is processed based on the trained initial model to determine how many rounds of processing the demand data needs to go through, the data range that can be viewed in each round of processing, and the time that can be processed for each stage of the task; if the number of processing rounds and the data range are the same as the actual task data, the initial model is used as the first recognition model.

[0064] In the specific implementation of step S11, the above-mentioned trained first recognition model is used to quantify the input demand data to output multiple stage tasks, wherein each node task includes the time that the task can be processed, the data range that can be viewed and the task requirements.

[0065] It should be noted that the task requirements include implementing the demand data, verifying a certain part of the data, etc.

[0066] Step S12: Determine corresponding task processing information based on the employee data of each employee and the stage task.

[0067] It should be noted that employee data includes employee number, employee's work scope, that is, the work that can be handled, and the projects that have been claimed but not yet completed, as well as the completion time of each unfinished item.

[0068] In the specific implementation of step S12, the employee data, key features and stage tasks of each employee are substituted into the second recognition model. The second recognition model first determines the employee who handles the task of each stage according to the work scope of the employee in the employee data, and uses it as the initial employee;

[0069] Then, for the initial employees of each stage task, a target employee is selected from the initial employees based on the items currently claimed but not yet processed in the employee data and the completion time corresponding to each unprocessed item. The target employee is used to process the stage task.

[0070] Finally, the employee information of the target employee is used as task processing information.

[0071] It should be noted that the task processing information includes information about employees who can complete the tasks at each stage.

[0072] Step S202: Sort the stage tasks and task processing information according to the completion time of each stage task to obtain a data flow path.

[0073] In the specific implementation of step S202, the stage tasks and the task processing information corresponding to the node task are sorted in ascending order according to the completion time of each stage task to obtain a data flow path.

[0074] Step S104: Perform data processing according to the data flow path to complete the processing of the business processing project.

[0075] It should be noted that, in the specific implementation of step S104, Figure 3 Said, comprising the following steps:

[0076] Step S301: determining the task processing information corresponding to the stage task currently to be processed according to the data flow path;

[0077] Taking the processing of the first stage task in the data flow path as an example, it is determined that the status of all stage tasks in the current data flow path are unprocessed, and the first-ranked stage task in the data flow path and its corresponding task processing information are determined to be the task processing information corresponding to the stage task that currently needs to be processed.

[0078] Taking the processing of a stage task that is not the first in the data flow path as an example, the status of each stage task is traversed in sequence according to the order of the data flow path. If there is a stage task in the previous order that is in the claimed state, and the status of the stage task in the current order is unprocessed, determine that the stage task in the current order and its corresponding task processing information are the task processing information corresponding to the stage task that currently needs to be processed.

[0079] Optionally, if there is a stage task in the previous sort whose status is a claimed status, and there is no stage task in the current sort, then it is determined that the processing of the business processing project is completed.

[0080] Step S302: sending a corresponding stage task to a corresponding processing employee based on the task processing information, so that the processing employee receives the stage task;

[0081] In the specific implementation of step S302, the employee information for processing the stage task is determined from the task processing information currently to be processed, and the stage task is sent to the corresponding employee according to the employee information for processing the stage task, so that the processing employee receives the stage task;

[0082] Optionally, when sending the stage task to a corresponding employee, the status of the stage task is set to a claimed status.

[0083] It should be noted that employees can only claim and undertake tasks that are in the claimed status.

[0084] Step S303: Detect whether the processing employee receives the stage task within the first time, if so, execute step S304, if not, execute step S307.

[0085] In the process of implementing step S303, it is detected whether the employee who handles the stage task receives the stage task within the first time. If so, step S304 is executed, and if not, step S307 is executed.

[0086] It should be noted that the preset time is set by technicians based on multiple experiments.

[0087] Step S304: when it is detected that the processing employee receives the stage task, the state of the stage task is changed to the implementing state;

[0088] In the specific implementation of step S304, when it is detected that the processing employee receives the stage task, the state of the stage task is changed from the claim state to the implementation state;

[0089] Step S305: Determine whether the processed data corresponding to the stage task is received within the processing time corresponding to the stage task, if so, execute step S306, if not, execute step S307.

[0090] In the process of implementing step S305, at the processing time corresponding to the stage task, it is detected whether the employee who processes the stage task feeds back the corresponding processed data. If so, step S306 is executed, and if not, step S307 is executed.

[0091] Step S306: The implementing state is changed to the completed state, so as to determine the task processing information corresponding to the next stage task to be processed according to the data flow path, until all the stage tasks are processed.

[0092] In the process of implementing step S306, the implementing state is changed to the completed state, and the process returns to step S301 until all stage tasks are processed.

[0093] Step S307: Send an urging instruction to the processing employee.

[0094] In the specific implementation of step S27, if it is determined that the processing employee has not received the stage task within the first time, a prompting instruction is triggered to resend the stage task to the corresponding employee according to the employee information of the processing employee so that the processing employee receives the stage task;

[0095] If the processed data corresponding to the stage task is not received within the processing time corresponding to the stage task, a urging instruction is triggered to send urging information to the employee who handles the stage task to urge the corresponding employee.

[0096] For example, if the first time is 5 working days, and 5 working days after the demand is entered, if the processing employee does not receive the stage task within the first time, a reminder instruction will be triggered to resend the stage task to the corresponding employee according to the employee information who processed the stage task.

[0097] Since the technical implementation personnel claim and undertake the task, the requirements that have not been completed before the expected completion date, that is, within the processing time corresponding to the stage task; trigger the urging instruction to send a urging message to the employee who is handling the stage task to urge the corresponding employee.

[0098] Optionally, in addition to the above-mentioned automatic urging method, the data demand personnel who trigger the processing instructions of the business processing project can also manually urge the processing, and initiate urging for data requirements that are highly time-sensitive or urgently needed.

[0099] Optionally, the method shown in the above embodiment of the present invention further includes:

[0100] When it is determined that the state of the stage task is a completed state, the demand data is associated with the processed data.

[0101] In the specific implementation, the processed data and demand data are checked and adjusted against the business scope interpretation, and the associated processing process is recorded to leave traces of the interaction and avoid statistical fraud.

[0102] Optionally, the method shown in the above embodiment of the present invention further includes:

[0103] In the process of data processing according to the data flow path, the status of each stage of the task is recorded, such as the claimed status, the implementation status or the completed status; the status of each stage of the recorded task is generated into an implementation progress update at a preset time interval and sent to the person who needs the data.

[0104] Specifically, the status of each stage of the task is recorded in real time, and the status of each stage of the task is updated as the implementation progress at preset time intervals, and pushed to the corporate WeChat and email of the personnel who need data, so that the personnel who need data can understand the quantity of the corresponding demand data.

[0105] It should be noted that the preset time interval is set in advance by the technician based on multiple experiments.

[0106] Optionally, the method shown in the above embodiment of the present invention further includes:

[0107] After it is determined that the demand data processing is completed, the processed information is sent to the person who needs the data.

[0108] In the specific implementation, the processed data includes data extraction, the degree of completion of data requirements implementation, etc.

[0109] The present invention conducts more refined management and control of demand data throughout its entire life cycle. Under the premise of ensuring real-time data requirements, it further ensures the consistency and explainability of demand and results by leaving traces of communication, thereby avoiding statistical fraud.

[0110] Optionally, the method shown in the above embodiment of the present invention further includes:

[0111] If the demand data includes data table application information, the processed information based on the employee's feedback on the data table application is obtained. At this time, the processed information is business-based information.

[0112] The processed information is checked based on the demand data to determine whether the user demand personnel and employees are in agreement. The data of the checking and adjustment process are recorded to ensure communication traceability.

[0113] After the business scope information is verified, all personnel can view it; if different technical implementation personnel receive the same business scope, they can view the scope explanation to reduce repeated communication and improve work efficiency.

[0114] The present invention completes functions such as project proposal, implementation progress update, business scope information verification, urging, completion feedback, email reminders, etc. based on the internal demand data of the bank, so as to realize the full life cycle tracking and full process traceability of data-related needs, that is, demand data.

[0115] In the embodiment of the present invention, a processing instruction of a business processing project is responded to; based on the processing instruction, the demand data corresponding to the business processing project is obtained; the demand data is processed to determine the data flow path of the business processing project; data processing is performed according to the data flow path to complete the processing of the business processing project. No manual assistance is required, and the employee who needs to process the demand data is automatically determined, thereby avoiding data leakage and falsification, so as to achieve data control.

[0116] Based on the data processing method shown in the above embodiment of the present invention, the embodiment of the present invention also shows a data processing device accordingly. Figure 4 As shown, the device comprises:

[0117] A response module 401 is used to respond to a processing instruction of a business processing item;

[0118] An acquisition module 402 is used to acquire demand data corresponding to the business processing item based on the processing instruction;

[0119] The processing module 403 is used to process the demand data and determine the data flow path of the business processing project; and perform data processing according to the data flow path to complete the processing of the business processing project.

[0120] The specific principles and execution processes of each unit in the data processing device disclosed in the above embodiment of the present invention are the same as the corresponding contents in the data processing method provided in the above embodiment of the present invention. Please refer to the corresponding parts of the data processing method disclosed in the above embodiment of the present invention, and will not be repeated here.

[0121] In the embodiment of the present invention, a processing instruction of a business processing project is responded to; based on the processing instruction, the demand data corresponding to the business processing project is obtained; the demand data is processed to determine the data flow path of the business processing project; data processing is performed according to the data flow path to complete the processing of the business processing project. No manual assistance is required, and the employee who needs to process the demand data is automatically determined, thereby avoiding data leakage and falsification, so as to achieve data control.

[0122] Optionally, based on the data processing device shown in the above embodiment of the present invention, the processing module 403 for processing the demand data and determining the data flow path of the business processing project is specifically used to:

[0123] Based on the employee data of each employee and the demand data, a plurality of tasks in the same stage and corresponding task processing information are determined;

[0124] The stage tasks and task processing information are sorted according to the completion time of each stage task to obtain a data flow path.

[0125] Optionally, based on the data processing device shown in the above embodiment of the present invention, the processing module 403 processes the employee data and the demand data based on each employee to determine multiple tasks in the same stage and corresponding task processing information, which is specifically used to:

[0126] Analyze the demand data according to the key features to obtain multiple stage tasks;

[0127] Corresponding task processing information is determined based on the employee data of each employee and the stage tasks.

[0128] Optionally, based on the data processing device shown in the above embodiment of the present invention, the processing module 403 performs data processing according to the data flow path to complete the processing of the business processing item, specifically for:

[0129] Determine the task processing information corresponding to the stage task that needs to be processed currently according to the data flow path;

[0130] Sending corresponding stage tasks to corresponding processing employees based on the task processing information so that the processing employees receive the stage tasks;

[0131] When it is detected that the processing employee receives the stage task, the state of the stage task is changed to an implementing state;

[0132] If processed data corresponding to the stage task is received within the processing time corresponding to the stage task, the implementing state is changed to the completed state so as to determine the task processing information corresponding to the next stage task to be processed according to the data flow path until all the stage tasks are processed.

[0133] Optionally, based on the data processing device shown in the above embodiment of the present invention, the processing module 403 is further used to:

[0134] If it is determined that the processing employee has not received the stage task within the first time, or has not received the processed data corresponding to the stage task within the processing time corresponding to the stage task, a urging instruction is sent to the processing employee.

[0135] Optionally, based on the data processing device shown in the above embodiment of the present invention, the processing module 403 is further used to:

[0136] When it is determined that the state of the stage task is a completed state, the demand data is associated with the processed data.

[0137] Optionally, based on the data processing device shown in the above embodiment of the present invention, the processing module 403 is further used to:

[0138] In the process of processing data according to the data flow path, the status of tasks at each stage is recorded;

[0139] The status of each stage of the recorded tasks is generated into an implementation progress update at preset time intervals and sent to the personnel who need the data.

[0140] An embodiment of the present application provides an electronic device, which includes a processor and a memory, wherein the memory is used to store data processing program code and data, and the processor is used to call program instructions in the memory to execute the steps shown in the data processing method in the above embodiment.

[0141] An embodiment of the present invention provides a storage medium, and a vehicle includes the electronic device provided by the above-mentioned embodiment of the present application, and the electronic device is used to execute the data processing method disclosed in the embodiment of the present application.

[0142] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.

[0143] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0144] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A data processing method, characterized in that: The method comprises: Respond to processing instructions for business processing items; Acquire demand data corresponding to the business processing item based on the processing instruction; Processing the demand data to determine the data flow path of the business processing project; Data processing is performed according to the data flow path to complete the processing of the business processing project.

2. The method according to claim 1, characterized in that Processing the demand data to determine the data flow path of the business processing project includes: Based on the employee data of each employee and the demand data, a plurality of tasks in the same stage and corresponding task processing information are determined; The stage tasks and task processing information are sorted according to the completion time of each stage task to obtain a data flow path.

3. The method according to claim 1, characterized in that Based on the employee data of each employee and the demand data, multiple tasks in the same stage and corresponding task processing information are determined, including: Analyze the demand data according to the key features to obtain multiple stage tasks; Corresponding task processing information is determined based on the employee data of each employee and the stage tasks.

4. The method according to claim 2, characterized in that: Data processing is performed according to the data flow path to complete the processing of the business processing project, including: Determine the task processing information corresponding to the stage task that needs to be processed currently according to the data flow path; Sending corresponding stage tasks to corresponding processing employees based on the task processing information so that the processing employees receive the stage tasks; When it is detected that the processing employee receives the stage task, the state of the stage task is changed to an implementing state; If processed data corresponding to the stage task is received within the processing time corresponding to the stage task, the implementing state is changed to the completed state so as to determine the task processing information corresponding to the next stage task to be processed according to the data flow path until all the stage tasks are processed.

5. The method according to claim 3, characterized in that: Also includes: If it is determined that the processing employee has not received the stage task within the first time, or has not received the processed data corresponding to the stage task within the processing time corresponding to the stage task, a urging instruction is sent to the processing employee.

6. The method according to claim 3, characterized in that Also includes: When it is determined that the state of the stage task is a completed state, the demand data is associated with the processed data.

7. The method according to claim 1, characterized in that Also includes: In the process of processing data according to the data flow path, the status of tasks at each stage is recorded; The status of each stage of the recorded tasks is generated into an implementation progress update at preset time intervals and sent to the personnel who need the data.

8. A data processing device, characterized in that: The device comprises: A response module is used to respond to processing instructions of business processing items; An acquisition module, used to acquire demand data corresponding to the business processing item based on the processing instruction; The processing module is used to process the demand data and determine the data flow path of the business processing project; and perform data processing according to the data flow path to complete the processing of the business processing project.

9. An electronic device, characterized in that: The electronic device is used to run a program, wherein the program executes the data processing method according to any one of claims 1 to 7 when running.

10. A storage medium, characterized in that: The storage medium includes a storage program, wherein when the program is running, the device where the storage medium is located is controlled to execute the data processing method according to any one of claims 1 to 7.

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