Data extraction demand management method and device, equipment and storage medium

Abstract

The invention discloses a data extraction demand management method and device, equipment and a storage medium, relates to the technical field of data processing, and discloses a data extraction demand management method which comprises the steps that in response to a trigger operation for a demand management control, a demand list generated according to data extraction demands is acquired; acquiring sample data corresponding to each demand in the demand list; performing simplification processing on the sample data to obtain product data including each product in the demand; and managing the product data of each product based on each work order list, wherein the work order list is an execution task generated based on the product and used for processing the product data. Namely, corresponding parameters are filled in the demand page and the page corresponding to the work order list by the user according to different managements on the data extraction demands, and then different data processing templates are executed according to the parameters filled in by the user, so that the management on the data extraction demands is automated, normalized and transparent, and the management efficiency on the data extraction demands is further improved.

Description

Technical Field

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

[0002] Data extraction requirements are requests for data acquisition made by users or business departments during data analysis or data processing. Extracting data requirements can help companies better understand the market and consumers and promote the scientificity and effectiveness of business decisions.

[0003] At present, the management of data requirements requires communication with the business department, evaluating the difficulty and resource consumption of the data requirements, and then analyzing them to determine the feasibility, priority and resource requirements of the requirements, and then processing the data corresponding to the data requirements according to the analysis results. After the data is processed, the processing results are fed back to the corresponding users or departments. When managing data requirements, it is necessary to track the processing of data requirements to ensure that all requirements are properly handled and the processing efficiency of data requirements is guaranteed. Since the processing of data requirements may involve multiple departments and the processing personnel of each processing node are different, it will increase the difficulty of tracking the processing of data requirements, thus resulting in inefficient management of data requirements.

[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of this application is to provide a method for managing data demand, aiming to solve the technical problem of low management efficiency of data demand.

[0006] To achieve the above objectives, the present application proposes a method for managing data demand, the method comprising:

[0007] In response to a trigger operation on a demand management control, a demand list generated according to the data request is obtained;

[0008] Obtain sample data corresponding to each requirement in the requirement list;

[0009] Simplify the sample data to obtain product data of each product in the demand;

[0010] The product data of each of the products is managed based on each work order list, wherein the work order list is an execution task for processing the product data generated based on the product.

[0011] In one embodiment, the step of simplifying the sample data to obtain product data containing each product in the demand includes:

[0012] Obtaining expected parameters for processing the sample data;

[0013] Based on the expected parameters, the sample data is simplified and the necessary fields required for each product in the corresponding requirements are screened and matched;

[0014] The product data of each of the products is extracted from the sample data based on the necessary fields.

[0015] In one embodiment, the step of simplifying the sample data based on the expected parameters and screening the necessary fields required for matching each product in the corresponding requirements includes:

[0016] Based on the expected parameter, filter out a tag field corresponding to the expected parameter from the sample data;

[0017] Simplify the sample data based on the tag field to obtain a simplified sample;

[0018] Filter the necessary fields required to match each product in the corresponding requirements from the simplified sample.

[0019] In one embodiment, the step of obtaining sample data corresponding to each requirement in the requirement list includes:

[0020] Identify a task phase for each requirement in the list of requirements;

[0021] If the task stage is to obtain samples, then obtain the original samples corresponding to the requirements;

[0022] The original samples are formatted in a unified manner to obtain sample data in a preset format.

[0023] In one embodiment, before the step of managing the product data of each product based on each work order list, the step further includes:

[0024] In response to a trigger operation on a work order management control, displaying an add work order page;

[0025] Acquire management information required for managing each product based on the work order page;

[0026] generating an execution task for processing the product data based on the management information;

[0027] A work order list is generated according to the execution tasks of each of the products.

[0028] In one embodiment, the step of managing the product data of each product based on each work order list includes:

[0029] Determining a current work order that currently needs to be managed from the work order list;

[0030] Based on the execution task in the current work order, execute the current work order to obtain execution data;

[0031] The execution data is field-screened based on the management information in the current work order to obtain the execution stage and execution status of the current work order.

[0032] In addition, to achieve the above purpose, the present application also proposes a data request management device, the data request management device comprising:

[0033] A demand acquisition module, used to obtain a demand list generated according to the data request in response to a trigger operation on the demand management control;

[0034] A sample acquisition module, used to acquire sample data corresponding to each requirement in the requirement list;

[0035] A simplification module, used to simplify the sample data to obtain product data of each product in the demand;

[0036] A management module is used to manage the product data of each of the products based on each work order list, wherein the work order list is an execution task for processing the product data generated based on the product.

[0037] In addition, to achieve the above-mentioned purpose, the present application also proposes a data request management device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the data request management method as described above.

[0038] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the data request management method described above are implemented.

[0039] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the data demand management method as described above.

[0040] One or more technical solutions proposed in this application have at least the following technical effects:

[0041] The data request is obtained through the demand management page, and the demand management page can also provide a management template for the data request, so that the demand template can be filled in according to the data request, and the demand list corresponding to the management of the data request can be updated. In order to determine the data of each product that needs to be processed from the data request, the sample data in the data request is simplified, the product data of the products included in each request is extracted, and then a work order list of the corresponding products is generated according to the product data, so that the data request is instantiated through the demand list and the work order list. According to different management of the data request, the user fills in the corresponding parameters on the demand page and the page corresponding to the work order list, and then executes different data processing templates according to the parameters filled in by the user, so that the management of the data request is automated, standardized and transparent, and the management efficiency of the data request is further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0043] In order to more clearly illustrate the embodiments of the present application 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, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0044] Figure 1 A flowchart of the first embodiment of the application request management method is provided;

[0045] Figure 2 A flowchart diagram of the second embodiment of the application request management method;

[0046] Figure 3 A flowchart of the third embodiment of the method for managing application requirements is provided;

[0047] Figure 4 A schematic diagram of the requirements management page provided for the requirements management method proposed in this application;

[0048] Figure 5 A diagram of the requirements list provided for the requirements management method proposed for this application;

[0049] Figure 6 A diagram of the requirement details page provided for the requirement management method for this application;

[0050] Figure 7 A schematic diagram of the work order page provided for the data request management method of this application;

[0051] Figure 8This is a schematic diagram of the module structure of the demand management device according to an embodiment of the present application;

[0052] Fig. 9 This is a schematic diagram of the device structure of the hardware operating environment involved in the method for providing demand management in the embodiment of the present application.

[0053] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0054] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0055] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0056] The main solution of the embodiment of the present application is: in response to the triggering operation of the demand management control in the data request page of the data request management platform, obtain a demand list generated according to the data request; and obtain sample data corresponding to each demand in the demand list; simplify the sample data to obtain product data of each product in the demand; manage the product data of each product based on each work order list, and the work order list is an execution task for processing the product data generated based on the product.

[0057] In this embodiment, for ease of description, the following description is made with the data management platform as the execution entity.

[0058] At present, the management of data request needs to be communicated with the business department, and the difficulty and resource consumption of the data request need to be evaluated, and then analyzed to determine the feasibility, priority and resource requirements of the request, and then the data corresponding to the data request is processed according to the analysis results. After the data is processed, the processing results are fed back to the corresponding users or departments. When managing data requests, it is necessary to track the processing of data requests to ensure that all requests are properly handled and the processing efficiency of data requests is guaranteed. Since the processing of data requests may involve multiple departments and the processing personnel of each processing node are different, it will increase the difficulty of tracking the processing of data requests, thus resulting in low management efficiency of data requests.

[0059] The present application provides a solution, which obtains data request through a demand management page, and according to the demand management page, a management template can also be provided for the data request, so that the demand template can be filled in according to the data request, and the demand list corresponding to the management of the data request can be updated. In order to determine the data of each product that needs to be processed from the data request, the sample data in the data request is simplified, the product data of the products included in each request is extracted, and then a work order list of the corresponding products is generated according to the product data, so that the data request is instantiated through the demand list and the work order list. According to different management of the data request, the user fills in the corresponding parameters on the demand page and the page corresponding to the work order list, and then executes different data processing templates according to the parameters filled in by the user, so that the management of the data request is automated, standardized and transparent, and the management efficiency of the data request is further improved.

[0060] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a data management platform, etc. The following takes the data management platform as an example to illustrate this embodiment and the following embodiments.

[0061] Based on this, the present application embodiment provides a method for managing data demand, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the method for request management of this application.

[0062] In this embodiment, the data request management method includes steps S10 to S40:

[0063] Step S10, in response to a trigger operation on a demand management control, obtaining a demand list generated according to the data request;

[0064] It should be noted that the demand management control can be a control for users to display the demand management page in the display interface of the data management platform. The trigger operation can be a mouse click, a user touch trigger, or an automatic trigger, etc., and there is no specific limitation. The data demand can be a data extraction and analysis demand proposed by the user or the business department to the data team. The demand list can be a list to be processed generated according to the user's needs.

[0065] It can be understood that when the user has a data request and the operation management control is triggered, the demand management page is displayed, allowing the user to input the data request into the data management platform according to the template in the demand management page to instantiate the data request, and generate a demand list based on the data request, and the list includes all the demand items that need to be processed, so that through automated demand management and data processing processes, manual intervention can be significantly reduced and work efficiency can be improved.

[0066] Step S20, obtaining sample data corresponding to each requirement in the requirement list;

[0067] It should be noted that the sample data may be various data that need to be processed.

[0068] Optionally, step S20 may further include:

[0069] Identify a task phase for each requirement in the list of requirements;

[0070] If the task stage is to obtain samples, then obtain the original samples corresponding to the requirements;

[0071] The original samples are formatted in a unified manner to obtain sample data in a preset format.

[0072] It should be noted that the task stage can be the execution progress of each requirement, for example, the acquisition of samples is completed, the upload of samples is to be completed, and the cleaning is to be performed, etc. The original sample can obtain the data provided by different customers that need to be extracted.

[0073] It is understandable that since the data that needs to be extracted and processed for data extraction needs can come from different customers, when obtaining the original samples corresponding to each need, in order to simplify the subsequent data processing process, it is necessary to unify the format of the original samples so that the data extraction demand management platform can accurately and comprehensively manage the data extraction needs, thereby improving the management efficiency of the data extraction needs.

[0074] Step S30, simplifying the sample data to obtain product data of each product in the demand;

[0075] It should be noted that the product data may be the data of the product required in each requirement, and the data may be the name of the product, the fields required to process the product data, and the like.

[0076] It is understandable that simplifying the data can remove unnecessary details in the sample data or integrate duplicate information, which can grasp the key points in the sample data more quickly, making the data easier to understand and analyze, reducing data complexity, and simple, clear data structures are easier to be processed quickly by algorithms, and easier to be interpreted and acted upon by human analysts. Therefore, it also improves the efficiency of data processing and speeds up subsequent steps, thereby speeding up the processing efficiency of sample data by the data management platform, and can also reduce the difficulty of managing data needs by the data management platform based on the simplified key data, further improving the management efficiency of data needs.

[0077] Step S40: managing the product data of each product based on each work order list, wherein the work order list is an execution task for processing the product data generated based on the product.

[0078] It should be noted that the execution tasks may be tasks required for processing product data, such as sample cleaning, boarding and disembarking tasks, and sample uploading.

[0079] It is understandable that since each requirement may involve multiple products, in order to further instantiate the requirements, a work order list can be determined based on the product data containing the products extracted from each requirement to further visualize the management process of the requirements.

[0080] It can be understood that by further determining the work order list based on the product data of the product, when processing sample data, the corresponding sample data can be accurately processed according to the execution tasks corresponding to each work order in the work order list, and the processing result data can also be accurately generated according to the parameters selected by the user in the work order, thereby further improving the management efficiency of data submission requirements.

[0081] The present embodiment provides a method for managing data request requirements, which obtains data request requirements through a request management page, and can also provide a management template for the data request requirements based on the request management page, so as to fill in the request template according to the data request requirements, and update the request list corresponding to the management of the data request requirements. In order to determine the data of each product that needs to be processed from the data request requirements, the sample data in the data request requirements is simplified, the product data of the products included in each request is extracted, and then a work order list of the corresponding products is generated according to the product data, so as to instantiate the data request requirements through the request list and the work order list. According to different management of the data request requirements, the user fills in the corresponding parameters on the request page and the page corresponding to the work order list, and then executes different data processing templates according to the parameters filled in by the user, so that the management of the data request requirements is automated, standardized and transparent, and the management efficiency of the data request requirements is further improved.

[0082] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 2 Before step S30, the method for managing data demand further includes steps S31 to S33:

[0083] Step S31, obtaining expected parameters for processing the sample data;

[0084] Step S32, based on the expected parameters, simplify the sample data and filter out necessary fields required for matching the products in the corresponding requirements;

[0085] Step S33: extracting product data of each of the products from the sample data based on the necessary fields.

[0086] It should be noted that the expected parameters may be the primary key column, backtracking column, reserved column in the sample data, whether to adjust the output order, etc. The necessary fields may be fields corresponding to the expected parameters, such as the primary key column field, backtracking column field, and reserved column field, etc.

[0087] It can be understood that by obtaining the expected parameters for sample data processing, the specific requirements of the end user or application for sample data processing can be clarified to ensure that the process of processing data requirements can accurately meet user expectations, thereby avoiding complicated and useless processing of data requirements. Therefore, it helps to improve the management efficiency of data requirements.

[0088] It can be understood that using the obtained expected parameters as a guide to reduce data complexity can remove redundant information and retain only necessary data fields (i.e., features), thereby ensuring that the data set for subsequent processing is smaller and more relevant, and then extracting the data required for specific products from the streamlined data set, ensuring that the relevant information of each product is extracted completely and specifically for further processing or analysis.

[0089] Furthermore, step S32 further includes:

[0090] Based on the expected parameter, filter out a tag field corresponding to the expected parameter from the sample data;

[0091] Simplify the sample data based on the tag field to obtain a simplified sample;

[0092] Filter the necessary fields required to match each product in the corresponding requirements from the simplified sample.

[0093] It should be noted that the marked field may be a field in the sample data that represents the expected parameter. The simplified sample may be simplified sample data by removing repeated fields in the sample and fields with less correlation with the expected parameter.

[0094] It is understandable that selective simplification based on expected parameters, while extracting useful information, eliminates redundant information, which not only improves the real-time data utilization and avoids the usual blackmail traps of big data, but also establishes advantageous conditions that conform to the subsequent operation logic and prepares a more accurate and simple data service environment.

[0095] It can be understood that by filtering the data and only focusing on the marked fields that match the expected parameters, not only unnecessary computing overhead and memory usage are reduced, but also the data processing speed will be significantly improved. The original large amount of sample data can be effectively reduced using identification information, and the necessary fields related to user needs are retained. This can greatly reduce the demand for storage and can also follow good data management rules. Through good data management rules, the corresponding data requirements can be processed in a targeted manner, thereby improving the management efficiency of data requirements.

[0096] Based on the first and second embodiments of the present application, in the third embodiment of the present application, the same or similar contents as those in the above embodiments can be referred to the above introduction, and will not be described in detail later. Figure 3 Before step S40, the method for managing data demand further includes steps S01 to S04:

[0097] Step S01, in response to a trigger operation on a work order management control, displaying an add work order page;

[0098] Step S02, acquiring management information required for managing each product based on the work order page;

[0099] Step S03, generating an execution task for processing the product data based on the management information;

[0100] Step S04: generating a work order list according to the execution tasks of each of the products.

[0101] It should be noted that the work order page can be another display page of the data management platform. Through this page, the products involved in the current demand that needs to be processed can be generated for execution tasks one by one, and then a corresponding work order list can be generated for each product, so as to ensure that the data requirements can be managed accurately.

[0102] It is understandable that by using specific controls to stimulate reactive display and add interfaces, manual intervention can be reduced and more operations can be transferred to rule-driven automated workflows. Simplifying the operation steps saves time and greatly improves the user's online experience.

[0103] Further, step S40 includes:

[0104] Determining a current work order that currently needs to be managed from the work order list;

[0105] Based on the execution task in the current work order, execute the current work order to obtain execution data;

[0106] The execution data is field-screened based on the management information in the current work order to obtain the execution stage and execution status of the current work order.

[0107] It is understandable that by automatically determining the work orders that currently need to be managed from the work order list, the time for manual search and screening can be reduced, thereby improving the management efficiency of request submissions.

[0108] It can be understood that executing work orders based on the execution tasks in the current work order and obtaining execution data can ensure that the tasks are carried out according to the predetermined plan and steps, avoid human errors, and then by filtering the fields of the execution data, the execution stage and execution status of the current work order can be obtained, thereby realizing real-time monitoring and management of work orders, timely discovering and solving problems, and then improving customer satisfaction and service quality through efficient work order management and rapid response to customer needs.

[0109] In the specific implementation, refer to Figure 4 , add a new demand. After filling in or selecting the necessary information, click 'Add' to complete the addition of the demand; after adding the demand, the corresponding information will appear in the demand list ( Figure 5 ); Input the requirement number corresponding to the sample ( Figure 5 ), which displays the sample and relation parts respectively, for data processing. In the sample_origin part of the sample, upload the original sample, choose whether to include the table header according to the sample, and select the primary key column, backtracking column, retained column, whether to adjust the output order, etc. This part will automatically display the first 5 rows of the table and descriptive statistics, so that various complex samples can be processed in the simplest way and necessary fields can be screened; in the relation part, there are two options: "direct upload" and "person-card association". You can choose to upload the file directly, or associate the person-card. This part completes the data upload, data association and other related operations with the click of the mouse; enter the requirement number to query the task execution stage and execution status ( Figure 6 ); Click the [Work Order Management] tab to enter the work order management page, fill in or select the necessary information, and click 'Add' to complete the addition of the work order ( Figure 7 ); After adding a work order, the work order list will show the corresponding product matching information and execution status; After adding a work order, the work order list will show the corresponding product matching information and execution status; and by entering the work order number, you can query the task execution stage and execution status.

[0110] Optionally, the data demand management platform also includes a data exploration function. Specifically, after uploading the sample, you can select fields to explore the "field value distribution" and "field length distribution"; in addition, enter the test text, the system will automatically generate four encrypted text types (MD5, SM3, SHA256, SM3_add_len), and support the verification of the encryption method; you can also enter the date, backtracking method, and backtracking threshold, the system will automatically generate the default backtracking date under this mode, support the verification of the backtracking date, and perform backtracking testing.

[0111] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the method for managing data requirements of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0112] This application also provides a data request management device, please refer to Figure 8 , the data request management device comprises:

[0113] The demand acquisition module 10 is used to obtain a demand list generated according to the number of requirements in response to a trigger operation on the demand management control;

[0114] A sample acquisition module 20, used to acquire sample data corresponding to each requirement in the requirement list;

[0115] A simplification module 30, used to simplify the sample data to obtain product data of each product in the demand;

[0116] The management module 40 is used to manage the product data of each of the products based on each work order list, wherein the work order list is an execution task for processing the product data generated based on the product.

[0117] Optionally, the simplification module 30 is also used to obtain expected parameters for processing the sample data; based on the expected parameters, simplify the sample data to filter out necessary fields required for each product in the corresponding requirements; and extract product data for each product from the sample data based on the necessary fields.

[0118] Optionally, the simplification module 30 is also used to filter out the tag fields corresponding to the expected parameters from the sample data based on the expected parameters; simplify the sample data based on the tag fields to obtain a simplified sample; and filter out the necessary fields required to match each product in the corresponding requirements from the simplified sample.

[0119] Optionally, the sample acquisition module 20 is also used to identify the task stage of each requirement in the requirement list; if the task stage is to obtain a sample, the original sample corresponding to the requirement is obtained; the format of the original sample is unified to obtain sample data in a preset format.

[0120] Optionally, the management module 40 is also used to display an add work order page in response to a trigger operation on a work order management control; obtain management information required for managing each product based on the work order page; generate an execution task for processing the product data based on the management information; and generate a work order list according to the execution tasks of each product.

[0121] Optionally, the management module 40 is also used to determine the current work order that needs to be managed from the work order list; execute the current work order based on the execution task in the current work order to obtain execution data; perform field screening on the execution data based on the management information in the current work order to obtain the execution stage and execution status of the current work order.

[0122] The number-raising demand management device provided by the present application adopts the number-raising demand management method in the above-mentioned embodiment, which can solve the technical problem of low management efficiency of number-raising demand. Compared with the prior art, the beneficial effects of the number-raising demand management device provided by the present application are the same as the beneficial effects of the number-raising demand management method provided by the above-mentioned embodiment, and other technical features in the number-raising demand management device are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0123] The present application provides a data request management device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the data request management method in the above-mentioned embodiment one.

[0124] Reference below Fig. 9 , which shows a schematic diagram of the structure of a data demand management device suitable for implementing the embodiment of the present application. The data demand management device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Fig. 9 The data request management device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0125] like Fig. 9As shown, the data demand management device may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the data demand management device are also stored. The processing device 1001, ROM1002, and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the data demand management device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a data demand management device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0126] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0127] The number demand management device provided by the present application adopts the number demand management method in the above embodiment to solve the technical problem of low management efficiency of number demand. Compared with the prior art, the beneficial effects of the number demand management device provided by the present application are the same as the beneficial effects of the number demand management method provided by the above embodiment, and the other technical features in the number demand management device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0128] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0129] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0130] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the data request management method in the above-mentioned embodiment.

[0131] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, 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 portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0132] The above-mentioned computer-readable storage medium may be included in the data demand management device; or it may exist independently without being assembled into the data demand management device.

[0133] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the data demand management device, the data demand management device: responds to the trigger operation of the demand management control, obtains the demand list generated according to the data demand; obtains the sample data corresponding to each demand in the demand list; simplifies the sample data to obtain the product data of each product in the demand; manages the product data of each product based on each work order list, and the work order list is an execution task for processing the product data generated based on the product.

[0134] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a 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 may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0135] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0136] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0137] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned method for managing the number of requests, and can solve the technical problem of low management efficiency of the number of requests. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the method for managing the number of requests provided in the above-mentioned embodiment, and will not be repeated here.

[0138] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned data demand management method when executed by a processor.

[0139] The computer program product provided by this application can solve the technical problem of low management efficiency of data request. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the data request management method provided by the above embodiment, which will not be repeated here.

[0140] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for managing data demand, characterized in that: The method includes: In response to a trigger operation on a demand management control, a demand list generated according to the data request is obtained; Obtain sample data corresponding to each requirement in the requirement list; Simplify the sample data to obtain product data of each product in the demand; The product data of each of the products is managed based on each work order list, wherein the work order list is an execution task for processing the product data generated based on the product.

2. The method according to claim 1, characterized in that The step of simplifying the sample data to obtain product data of each product in the demand includes: Obtaining expected parameters for processing the sample data; Based on the expected parameters, the sample data is simplified and the necessary fields required for each product in the corresponding requirements are screened and matched; The product data of each of the products is extracted from the sample data based on the necessary fields.

3. The method according to claim 2, characterized in that The step of simplifying the sample data based on the expected parameters and screening the necessary fields required for each product in the corresponding requirements includes: Based on the expected parameter, filter out a tag field corresponding to the expected parameter from the sample data; Simplify the sample data based on the tag field to obtain a simplified sample; Filter the necessary fields required to match each product in the corresponding requirements from the simplified sample.

4. The method according to claim 1, characterized in that The step of obtaining sample data corresponding to each requirement in the requirement list includes: Identify a task phase for each requirement in the list of requirements; If the task stage is to obtain samples, then obtain the original samples corresponding to the requirements; The original samples are formatted in a unified manner to obtain sample data in a preset format.

5. The method according to claim 1, characterized in that Before the step of managing the product data of each product based on each work order list, the following steps are also included: In response to a trigger operation on a work order management control, displaying an add work order page; Acquire management information required for managing each product based on the work order page; generating an execution task for processing the product data based on the management information; A work order list is generated according to the execution tasks of each of the products.

6. The method according to claim 5, characterized in that The step of managing the product data of each product based on each work order list includes: Determining a current work order that currently needs to be managed from the work order list; Based on the execution task in the current work order, execute the current work order to obtain execution data; The execution data is field-screened based on the management information in the current work order to obtain the execution stage and execution status of the current work order.

7. A data request management device, characterized in that: The device comprises: A demand acquisition module, used to obtain a demand list generated according to the data request in response to a trigger operation on the demand management control; A sample acquisition module, used to acquire sample data corresponding to each requirement in the requirement list; A simplification module, used to simplify the sample data to obtain product data of each product in the demand; A management module is used to manage the product data of each of the products based on each work order list, wherein the work order list is an execution task for processing the product data generated based on the product.

8. A data request management device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the data request management method according to any one of claims 1 to 6.

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

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the method for managing data demand as claimed in any one of claims 1 to 6 are implemented.

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