Data processing method, device, computer equipment and storage medium

Abstract

The present application relates to a data processing method, device, computer equipment and storage medium. The method comprises: in response to a data aggregation request of a target user, generating a target data reporting template according to user information and data demand information of the target user, sending the target data reporting template to a data provider, obtaining the data to be aggregated fed back by the data provider based on the target data reporting template, and aggregating the data to be aggregated. The use of this method can reduce the operational difficulty of data aggregation, thereby improving the accuracy of data processing.

Description

Technical Field

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

[0002] With the continuous development of enterprise digitalization, the amount of various types of data within the enterprise has also increased significantly. In order to accurately summarize various types of data, data processing methods have emerged.

[0003] The existing data processing method is usually to connect to the company's database through proprietary software, and then directly extract the required data from the database and process it.

[0004] However, the existing data processing method requires operators to master the database language corresponding to the proprietary software, which increases the difficulty of data aggregation for operators and thus reduces the accuracy of data processing. Summary of the invention

[0005] Based on this, it is necessary to provide a data processing method, device, computer equipment and storage medium that can improve the accuracy of data processing in response to the above technical problems.

[0006] In a first aspect, the present application provides a data processing method. The method comprises:

[0007] In response to a data aggregation request from a target user, a target data reporting template is generated according to user information and data requirement information of the target user;

[0008] Send the target data reporting template to the data provider;

[0009] Obtain the data to be summarized fed back by the data provider based on the target data reporting template;

[0010] The data to be summarized is summarized.

[0011] In the embodiments of the present application, on the one hand, by generating a target data reporting template based on the user information and data demand information of the target user, the adaptability between the target data reporting template and the user demand can be ensured, and the data to be summarized is obtained through the target data reporting template, so as to ensure the standardization of the data to be summarized, so as to facilitate the smooth progress of subsequent summary processing; on the other hand, compared with the related technology, which requires the operator to use the database language to obtain the summarized data from the database, the operational difficulty of the data summary processing is reduced, and the accuracy of the data summary processing can be guaranteed.

[0012] In one embodiment, the user information includes user identity information. According to the user information and data requirement information of the target user, a target data reporting template is generated, including:

[0013] Select a general data reporting template that matches the user identity information from the candidate data reporting templates; display the general data reporting template to the target user; obtain data demand information based on the input operation of the target user on the general data reporting template; generate a target data reporting template based on the data demand information and the general data reporting template.

[0014] In an embodiment of the present application, a universal data reporting template is introduced. On the one hand, by selecting a universal data reporting template that matches the user identity information from the candidate data reporting templates, the template editing time can be saved. On the other hand, a target data reporting template is generated based on the data demand information and the universal data reporting template. While improving the flexibility of the data reporting template, it can also ensure that the target data reporting template matches the needs of the target user.

[0015] In one embodiment, the data to be aggregated is aggregated, including:

[0016] According to the data review identifier corresponding to the target data reporting template, determine the data review end corresponding to the data to be summarized; send the data to be summarized to the data review end so that the data review end can review the data to be summarized; when the data review end has reviewed the data to be summarized, summarize the data to be summarized.

[0017] In the embodiment of the present application, a data audit terminal is introduced to verify the security of the data to be summarized, thereby avoiding information security problems caused by the leakage of confidential data and ensuring the security of data summary.

[0018] In one embodiment, the data to be aggregated is aggregated, including:

[0019] A data summary interface is displayed to the target user; wherein the data summary interface includes at least two optional summary methods for the target data type to which the data to be summarized belongs; a target summary method is determined from at least two optional summary methods according to the target user's dragging operation on the optional summary methods in the data summary interface; and the data to be summarized is summarized using the target summary method.

[0020] In an embodiment of the present application, an optional summary method is introduced. By determining a target summary method from at least two optional summary methods based on the target user's dragging operation on the optional summary method in the data summary interface, the editing time of the summary method can be saved and the efficiency of data summarization is improved.

[0021] In one embodiment, if the number of target aggregation methods is at least two, the target aggregation method is adopted to aggregate the data to be aggregated, including:

[0022] Determine the aggregation order between target aggregation methods according to the dragging order of target aggregation methods by target users; verify the aggregation order using aggregation restriction conditions associated with target data types; and if the verification passes, aggregate the data to be aggregated using the aggregation order between target aggregation methods.

[0023] In an embodiment of the present application, a summary restriction condition is introduced. By adopting the summary restriction condition associated with the target data type, the summary order is verified, which can ensure the rationality of the summary order and thus ensure the accuracy of subsequent data summarization.

[0024] In one embodiment, if the number of data providers is at least two, a target aggregation method is adopted to aggregate the data to be aggregated, including:

[0025] The cross-end aggregation method in the target aggregation method is adopted, and the cross-end aggregation processing is performed on the data to be aggregated according to the end identifier of each data provider.

[0026] In an embodiment of the present application, a cross-end aggregation method is introduced. By performing cross-end aggregation processing on each data to be aggregated according to the end identifier of each data provider, the data to be aggregated provided by each data provider can be comprehensively aggregated, thereby ensuring the flexibility and comprehensiveness of the data aggregation processing.

[0027] In one embodiment, after the data to be aggregated is aggregated, the method further includes:

[0028] Generate a data aggregation chain for the data aggregation process based on user information, template information of the data reporting template, data to be aggregated provided by each data provider, target data obtained through aggregation processing, and target aggregation method; determine the data display method based on the historical display records associated with the target user and the data type of the target data obtained through aggregation processing; and display the data aggregation chain using the data display method.

[0029] In the embodiment of the present application, a data aggregation chain of the data aggregation process is introduced, and the data aggregation chain is displayed by adopting a data display method, which can facilitate the target user to read the target data after aggregation and intuitively understand the data aggregation process.

[0030] In a second aspect, the present application further provides a data processing device. The device comprises:

[0031] A template generation module, used to generate a target data reporting template in response to a data aggregation request from a target user and based on user information and data requirement information of the target user;

[0032] The template sending module is used to send the target data reporting template to the data provider;

[0033] A data acquisition module is used to acquire the data to be aggregated fed back by the data provider based on the target data reporting template;

[0034] The data aggregation module is used to aggregate the data to be aggregated.

[0035] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0036] In response to a data aggregation request from a target user, a target data reporting template is generated according to user information and data requirement information of the target user;

[0037] Send the target data reporting template to the data provider;

[0038] Obtain the data to be summarized fed back by the data provider based on the target data reporting template;

[0039] The data to be summarized is summarized.

[0040] In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0041] In response to a data aggregation request from a target user, a target data reporting template is generated according to user information and data requirement information of the target user;

[0042] Send the target data reporting template to the data provider;

[0043] Obtain the data to be summarized fed back by the data provider based on the target data reporting template;

[0044] The data to be summarized is summarized.

[0045] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0046] In response to a data aggregation request from a target user, a target data reporting template is generated according to user information and data requirement information of the target user;

[0047] Send the target data reporting template to the data provider;

[0048] Obtain the data to be summarized fed back by the data provider based on the target data reporting template;

[0049] The data to be summarized is summarized.

[0050] The above-mentioned data processing method, device, computer equipment and storage medium generate a target data reporting template according to the user information and data demand information of the target user by responding to the data aggregation request of the target user, and send the target data reporting template to the data provider to obtain the data to be aggregated fed back by the data provider based on the target data reporting template, and then aggregate the data to be aggregated. The above-mentioned method, on the one hand, can ensure the adaptability between the target data reporting template and the user demand by generating the target data reporting template according to the user information and data demand information of the target user, and can ensure the standardization of the data to be aggregated by obtaining the data to be aggregated through the target data reporting template, so as to facilitate the smooth progress of the subsequent aggregation processing; on the other hand, compared with the related technology that requires the operator to use the database language to obtain the aggregated data from the database, the operational difficulty of the data aggregation processing is reduced, and the accuracy of the data aggregation processing can be ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 An application environment diagram of a data processing method in an embodiment;

[0052] Figure 2 is a flow chart of a data processing method in one embodiment;

[0053] Figure 3 A schematic diagram of a process for determining a target data reporting template in one embodiment;

[0054] Figure 4A A schematic diagram of a data review process in one embodiment;

[0055] Figure 4B A flowchart of a data audit process in an embodiment;

[0056] Figure 5 A schematic diagram of a process of data aggregation in one embodiment;

[0057] Figure 6 A schematic diagram of a process flow of summarizing sequential verification in one embodiment;

[0058] Fig. 7A A schematic diagram of a flow chart of data display in an embodiment;

[0059] Figure 7B A data summary chain diagram in one embodiment;

[0060] Figure 8 is a flow chart of a data processing method in another embodiment;

[0061] Fig. 9 is a structural block diagram of a data processing device in one embodiment;

[0062] Fig.10 is a structural block diagram of a data processing device in another embodiment;

[0063] Fig.11 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0065] The data processing method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the data demand end 102 and the data provider end 106 communicate with the server 104 respectively through the network. The data storage system can store the data that the server 104 needs to process. For example, data to be aggregated, etc. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. For example, the data demand end 102 sends a data aggregation request to the server 104; then, the server 104 generates a target data reporting template based on the user information and data demand information of the target user provided by the data demand end 102, and sends the data reporting template to the data provider end 106 to obtain the data to be aggregated fed back by the data provider end 106 based on the target data reporting template, and then aggregate the data to be aggregated. Among them, the server 104 can be implemented with an independent server or a server cluster consisting of multiple servers.

[0066] With the continuous development of enterprise digitalization, the amount of various types of data within the enterprise has also increased significantly. In order to accurately summarize various types of data, data processing methods have emerged.

[0067] The existing data processing method is usually to connect to the company's database through proprietary software, and then directly extract the required data from the database and process it.

[0068] However, the existing data processing method requires operators to master the database language corresponding to the proprietary software, which increases the difficulty of data aggregation for operators and thus reduces the accuracy of data processing.

[0069] Based on this, in one embodiment, Figure 2 As shown, a data processing method is provided, which is applied to Figure 1 The server in the example is used as an example to illustrate the specific steps:

[0070] S201, in response to a data aggregation request from a target user, generating a target data reporting template according to user information and data demand information of the target user.

[0071] Among them, the target user refers to the user who has the need for data aggregation; the user information is used to represent the information related to the user, such as the user's identity code and identity characteristics; the data demand information is used to represent the relevant information of the data required by the user, such as the data type and data format; the target data reporting template refers to the template used to report the data required by the target user, such as a template in table form.

[0072] A data aggregation request refers to a request to aggregate the required data; optionally, the data aggregation request may include user information and data requirement information. For example, when the target user has a data aggregation requirement, the target user can enter the data type of the required data on the data aggregation interface and click the data aggregation button. At this time, the data demand side can automatically generate a data aggregation request including the user information and data requirement information of the target user, and send the data aggregation request to the server. The data aggregation interface is a visual interface for data aggregation.

[0073] Alternatively, the data aggregation request may only include user information. For example, when the target user has a data aggregation requirement, the data aggregation request may be sent directly to the server through the data demand side; then, after receiving the data aggregation request, the server may determine the data demand information based on the user behavior data on the data demand side.

[0074] Furthermore, in order to ensure the standardization of the data acquired by the target user, a target data reporting template related to the user information and satisfying the data demand information may be generated based on the user information and data demand information of the target user.

[0075] S202, sending a target data reporting template to a data provider.

[0076] The data provider is a device that can provide the required data to the target user.

[0077] Optionally, the target data reporting template may be sent to the data provider according to the terminal identifier of the data provider included in the data aggregation request; further, the data provider may display a data reporting interface generated based on the target data reporting template to the data provider, so that the data provider can report data based on the target data reporting interface. The data reporting interface is a visual interface for data reporting.

[0078] S203, obtaining the data to be aggregated fed back by the data provider based on the target data reporting template.

[0079] The data to be aggregated refers to the data fed back by the data provider.

[0080] Optionally, after filling in the data to be summarized, the data provider can click a submit button on the data filling interface to feed back the data to be summarized to the server through the data provider. At this time, the server can directly obtain the data to be summarized.

[0081] S204, performing aggregation processing on the data to be aggregated.

[0082] Optionally, after the server obtains the data to be summarized, if there is only one data provider, each data value can be summarized directly in the summary data table corresponding to the data to be summarized; if there are multiple data providers, each data value can be summarized in combination with the summary data table corresponding to the data to be summarized fed back by each data provider.

[0083] Furthermore, after the data to be summarized is summarized, the data summary result can be displayed through the data summary interface so that the target user can obtain the data summary result more intuitively.

[0084] In the above data processing method, by responding to the data aggregation request of the target user, a target data reporting template is generated according to the user information and data demand information of the target user, and the target data reporting template is sent to the data provider to obtain the data to be aggregated fed back by the data provider based on the target data reporting template, and then the data to be aggregated is aggregated. With the above method, on the one hand, by generating the target data reporting template according to the user information and data demand information of the target user, the adaptability between the target data reporting template and the user demand can be guaranteed, and the data to be aggregated is obtained through the target data reporting template, which can ensure the standardization of the data to be aggregated, so as to facilitate the smooth progress of the subsequent aggregation processing; on the other hand, compared with the related technology, which requires the operator to use the database language to obtain the aggregated data from the database, the operational difficulty of the data aggregation processing is reduced, and the accuracy of the data aggregation processing can be guaranteed.

[0085] In practical applications, in order to ensure the accuracy of the target data reporting template, a visual interface for editing the target data reporting template can be displayed to the target user based on the user information of the target user, wherein the user information includes the user identity information. Based on this, on the basis of the above embodiment, in this embodiment, an optional method for determining the target data reporting template is provided, such as Figure 3 As shown, the specific steps include:

[0086] S301, selecting a general data reporting template that matches the user identity information from candidate data reporting templates.

[0087] Among them, the candidate data reporting template refers to the basic template used for data reporting; the general data reporting template refers to the basic template related to identity information.

[0088] Optionally, in order to save time in writing templates, the identity identifier in the user identity information can be matched with the identity identifier corresponding to each candidate data reporting template, and then a general data reporting template matching the user identity information can be selected from the candidate data reporting templates. For example, if the target user is a financial staff, the financial reporting template can be selected from the candidate data reporting templates as the general data reporting template.

[0089] S302, displaying a general data reporting template to target users.

[0090] Optionally, after the general data reporting template is determined, the general data reporting template can be displayed to the target user through a template editing interface, wherein the template editing interface is a visual interface for editing the template.

[0091] S303: Acquire data demand information according to the input operation of the target user on the general data reporting template.

[0092] Optionally, the target user may adjust the general data reporting template on the template editing interface; correspondingly, the server may directly obtain data requirement information according to the input operation of the target user on the general data reporting template in the template editing interface.

[0093] S304, generating a target data reporting template according to the data demand information and the general data reporting template.

[0094] Optionally, the general data reporting template can be optimized according to the data requirement information to obtain the target data reporting template. For example, the data requirement information includes "identity code", "salary" and "working hours", and the general data reporting template is a table type template. In this case, the header of the target data reporting template can be adjusted to "identity code", "salary" and "working hours".

[0095] In an embodiment of the present application, a universal data reporting template is introduced. On the one hand, by selecting a universal data reporting template that matches the user identity information from the candidate data reporting templates, the template editing time can be saved. On the other hand, a target data reporting template is generated based on the data demand information and the universal data reporting template. While improving the flexibility of the data reporting template, it can also ensure that the target data reporting template matches the needs of the target user.

[0096] In actual applications, the data to be aggregated obtained by the target user may be confidential. Therefore, in order to ensure the security of the data to be aggregated, it is necessary to review the data to be aggregated before the aggregation process. Based on this, on the basis of the above embodiment, in this embodiment, an optional method of data review is provided, such as Figure 4A As shown, the specific steps include:

[0097] S401, determining the data review end corresponding to the data to be summarized according to the data review identifier corresponding to the target data reporting template.

[0098] The data audit identifier refers to the terminal identifier of the data audit terminal; the data audit terminal refers to the device that audits the security of the data to be aggregated.

[0099] It can be understood that when generating a target data reporting template, in order to ensure the security of the summarized data, the target data reporting template can be configured with a corresponding data review identifier based on the data type involved in the target data reporting template; subsequently, after the server obtains the data to be summarized, the data review end corresponding to the data to be summarized can be determined based on the data review identifier corresponding to the target data reporting template.

[0100] For example, the target data reporting template is used to obtain relevant data on "employee salaries". At this time, the data review identifier of the target data reporting template is the financial data review identifier, that is, the data review end corresponding to the data to be summarized is the financial data review end; or, the target data reporting template is used to obtain relevant data on "user transactions". At this time, the data review identifier of the target data reporting template is the privacy data review identifier, that is, the data review end corresponding to the data to be summarized is the privacy data review end.

[0101] S402, sending the data to be summarized to the data review end, so that the data review end reviews the data to be summarized.

[0102] Optional, reference Figure 4B After obtaining the data to be summarized, the server can send the data to be summarized to the data audit terminal to instruct the data audit terminal to perform security verification on the data to be summarized. Exemplarily, the data audit terminal can perform security verification on the data to be summarized only based on the data content of the data to be summarized; or it can perform security verification on the data to be summarized by matching the confidentiality level of the data to be summarized with the data acquisition authority of the target user.

[0103] S403: When the data to be summarized is reviewed and approved by the data review end, the data to be summarized is summarized and processed.

[0104] Optionally, if the data audit end passes the audit on the data to be aggregated, the data audit end will send a data audit pass instruction to the server, and at this time, the server can aggregate the data to be aggregated; if the data audit end fails the audit on the data to be aggregated, the data audit end will send a data audit fail instruction to the server, and then the server will send a data acquisition failure message to the target user.

[0105] In the embodiment of the present application, a data audit terminal is introduced to verify the security of the data to be summarized, thereby avoiding information security problems caused by the leakage of confidential data and ensuring the security of data summary.

[0106] In practical applications, in order to ensure the accuracy of data aggregation, a visual interface that allows the target user to select a target aggregation method can be displayed. Based on this, on the basis of the above embodiment, in this embodiment, an optional method for data aggregation is provided, such as Figure 5 As shown, the specific steps include:

[0107] S501, displaying a data summary interface to a target user.

[0108] Among them, the data summary interface includes at least two optional summary methods for the target data type to which the data to be summarized belongs; the target data type refers to the data type of the data to be summarized; the optional summary method refers to the method that can be used to summarize data for the target data type.

[0109] It is understandable that in order to ensure the efficiency of data aggregation, the data aggregation method can be associated with the target data type and stored in advance. Therefore, after obtaining the data to be aggregated, the data aggregation interface can be displayed to the target user according to the optional aggregation method corresponding to the target data type to which the data to be aggregated belongs.

[0110] S502: Determine a target summarization method from at least two optional summarization methods according to a target user's dragging operation on the optional summarization methods in the data summarization interface.

[0111] The target aggregation method refers to the method of aggregating the data to be processed.

[0112] Optionally, after the data summary interface is displayed to the target user, if the target user drags any optional summary method in the data summary interface, the optional summary method can be used as the target summary method.

[0113] S503, adopting a target aggregation method to aggregate the data to be aggregated.

[0114] Optionally, after determining the target aggregation method, the data to be aggregated can be aggregated according to the calculation formula involved in the target aggregation method. For example, if the target aggregation method is "multiplying the first column data and the second column data in the same row", if the first column data in the first row of the data to be aggregated is 2 and the second column data is 3, then after the aggregation process, the aggregated data corresponding to the first row can be 6.

[0115] In an embodiment of the present application, an optional summary method is introduced. By determining a target summary method from at least two optional summary methods based on the target user's dragging operation on the optional summary method in the data summary interface, the editing time of the summary method can be saved and the efficiency of data summarization is improved.

[0116] In practical applications, when the number of target aggregation methods is at least two, in order to ensure the accuracy of data aggregation, it is necessary to determine the aggregation order between the target aggregation methods. Based on this, on the basis of the above embodiment, in this embodiment, an optional method for aggregation order verification is provided, such as Figure 6 As shown, the specific steps include:

[0117] S601, determining a summary order among target summary methods according to a dragging order of target summary methods by a target user.

[0118] The aggregation order refers to the order of priority between the aggregation methods of each target.

[0119] Optionally, the target user may drag the selected target summary method on the data summary interface, and use the dragging order of the target summary methods as the summary order between the target summary methods.

[0120] S602, using the aggregation restriction condition associated with the target data type to verify the aggregation order.

[0121] The aggregation restriction condition refers to the restriction condition when the data corresponding to the target data type is aggregated.

[0122] Optionally, after determining the aggregation order between the target aggregation methods, in order to ensure the rationality of the aggregation order, the rationality of the aggregation order can be checked according to the aggregation restriction conditions associated with the target data types corresponding to the target aggregation methods. For example, the aggregation restriction condition is that the target aggregation method E1 corresponding to the target data type E must be ranked before the target aggregation method F1 corresponding to the target data type F. If the aggregation order is "execute F1 first, then execute G1, and finally execute E1", the aggregation order does not meet the aggregation restriction condition, and therefore, the aggregation order check fails.

[0123] S603, when the verification is passed, the data to be summarized is summarized by using each target summary method and the summary order between the target summary methods.

[0124] Optionally, if the verification passes, it proves that the aggregation order is reasonable. At this time, the target aggregation methods and the aggregation order between the target aggregation methods can be used to aggregate the data to be aggregated; if the verification fails, it proves that the aggregation order is unreasonable. At this time, the aggregation order can be adaptively adjusted according to the aggregation restriction conditions associated with the target data type, and the adjusted aggregation order can be displayed to the target user for reference.

[0125] In an embodiment of the present application, a summary restriction condition is introduced. By adopting the summary restriction condition associated with the target data type, the summary order is verified, which can ensure the rationality of the summary order and thus ensure the accuracy of subsequent data summarization.

[0126] In actual applications, when the number of data providers is at least two, it is necessary to comprehensively summarize the data to be summarized provided by each data provider. Based on this, in this embodiment, an optional method for cross-end data aggregation is provided, specifically, the cross-end aggregation method in the target aggregation method is adopted, and the cross-end aggregation processing of each data to be summarized is performed according to the end identifier of each data provider.

[0127] Among them, the cross-end aggregation method refers to the method of aggregating the data to be aggregated provided by each data provider; the end identification refers to the identification information of the data provider; and the cross-end aggregation processing refers to the aggregation processing between the data to be aggregated provided by each data provider.

[0128] It can be understood that in order to comprehensively summarize the data to be summarized provided by each data provider, the data to be summarized provided by each data provider can be summarized across terminals according to the terminal identifiers involved in the cross-terminal aggregation method and the processing method of the data to be summarized associated with each terminal identifier.

[0129] For example, when the cross-end aggregation method is to add the data in the 4th column of the data to be aggregated provided by the data provider P and the data provider Q, if the data in the 4th column of the data to be aggregated provided by the data provider P is {2, 3, 4, 5}, and the data in the 4th column of the data to be aggregated provided by the data provider Q is {2, 4, 6, 7}, then the aggregation result is 33.

[0130] In an embodiment of the present application, a cross-end aggregation method is introduced. By performing cross-end aggregation processing on each data to be aggregated according to the end identifier of each data provider, the data to be aggregated provided by each data provider can be comprehensively aggregated, thereby ensuring the flexibility and comprehensiveness of the data aggregation processing.

[0131] In practical applications, in order to facilitate the target user to read the target data after the aggregation processing, a visual interface that can read the target data and the relevant information involved in the data processing process can be displayed to the target user. Based on this, on the basis of the above embodiment, in this embodiment, an optional method of data display is provided, such as Fig. 7A As shown, the specific steps include:

[0132] S701, generating a data aggregation chain of the data aggregation process according to user information, template information of the data reporting template, data to be aggregated provided by each data provider, target data obtained through aggregation processing, and target aggregation method.

[0133] Among them, target data refers to the data that has been aggregated; data aggregation chain refers to the legend used to represent the data aggregation process.

[0134] Optional, reference Figure 7B Based on the data aggregation log generated by the data aggregation process, the data aggregation chain corresponding to the data aggregation process can be generated according to user information, template information of the data reporting template, the data to be aggregated provided by each data provider, the target data obtained after aggregation processing, and the target aggregation method.

[0135] S702, determining a data display method according to the historical display records associated with the target user and the data type of the target data obtained through aggregation processing.

[0136] Among them, the historical display record refers to the data display record selected by the target user in the historical period; the data display method refers to the method of displaying the target data. For example, the data display method may include vertical, horizontal, tile expansion, etc., and various data display methods may also be used in combination.

[0137] Optionally, in order to ensure the efficiency of determining the data display method, candidate display records related to the data type of the target data can be extracted from the historical display records associated with the target user; then, the data display method in the candidate display record is used as the data display method of the target data.

[0138] S703, using a data display method to display the data aggregation chain.

[0139] It is understandable that in order to facilitate the target users to query the data aggregation process more intuitively, a data display method can be used to display the data aggregation chain on the data aggregation interface.

[0140] In the embodiment of the present application, a data aggregation chain of the data aggregation process is introduced, and the data aggregation chain is displayed by adopting a data display method, which can facilitate the target user to read the target data after aggregation and intuitively understand the data aggregation process.

[0141] Figure 8 FIG. 1 is a flow chart of a data processing method in another embodiment. Based on the above embodiment, this embodiment provides an optional example of a data processing method. Figure 8 The specific implementation process is as follows:

[0142] S801, in response to a data aggregation request of a target user, selecting a general data reporting template that matches the user identity information from candidate data reporting templates.

[0143] S802, displaying a general data reporting template to a target user, and acquiring data demand information according to an input operation performed by the target user on the general data reporting template.

[0144] S803, generating a target data reporting template according to the data demand information and the general data reporting template.

[0145] S804, sending the target data reporting template to the data provider to obtain the data to be aggregated fed back by the data provider based on the target data reporting template.

[0146] S805, determining the data review end corresponding to the data to be summarized according to the data review identifier corresponding to the target data reporting template.

[0147] S806, sending the data to be summarized to the data review end, so that the data review end reviews the data to be summarized.

[0148] S807, when the data to be summarized is reviewed and approved by the data review end, a data summary interface is displayed to the target user.

[0149] The data summary interface includes at least two optional summary methods for the target data type to which the data to be summarized belongs.

[0150] S808: Determine a target summarization method from at least two optional summarization methods according to a target user's dragging operation on the optional summarization methods in the data summarization interface.

[0151] S809, adopting the target aggregation method to aggregate the data to be aggregated.

[0152] Optionally, when there are at least two target aggregation methods, the aggregation order between the target aggregation methods can be determined according to the order in which the target user drags the target aggregation methods; the aggregation order is verified using the aggregation restriction conditions associated with the target data type; and when the verification passes, the data to be aggregated is aggregated using the aggregation order between the target aggregation methods.

[0153] S810, generating a data aggregation chain of the data aggregation process according to user information, template information of the data filling template, data to be aggregated provided by each data provider, target data obtained through aggregation processing, and target aggregation method.

[0154] S811, determining a data display method according to the historical display records associated with the target user and the data type of the target data obtained through aggregation processing.

[0155] S812, using data display method, to display the data aggregation chain.

[0156] The specific process of S801-S812 can refer to the description of the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0157] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0158] Based on the same inventive concept, the embodiment of the present application also provides a data processing device for implementing the data processing method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the one or more data processing device embodiments provided below can refer to the limitations on the data processing method above, and will not be repeated here.

[0159] In one embodiment, Fig. 9 As shown, a data processing device 1 is provided, comprising: a template generating module 10, a template sending module 20, a data acquiring module 30 and a data summarizing module 40, wherein:

[0160] The template generation module 10 is used to generate a target data reporting template in response to a data aggregation request of a target user according to user information and data requirement information of the target user;

[0161] The template sending module 20 is used to send the target data reporting template to the data provider;

[0162] The data acquisition module 30 is used to acquire the data to be aggregated fed back by the data provider based on the target data reporting template;

[0163] The data aggregation module 40 is used to aggregate the data to be aggregated.

[0164] In one embodiment, the user information includes user identity information, and the template generation module 10 is specifically used to:

[0165] Select a general data reporting template that matches the user identity information from the candidate data reporting templates; display the general data reporting template to the target user; obtain data demand information based on the input operation of the target user on the general data reporting template; generate a target data reporting template based on the data demand information and the general data reporting template.

[0166] In one embodiment, the data aggregation module 40 is specifically used for:

[0167] According to the data review identifier corresponding to the target data reporting template, determine the data review end corresponding to the data to be summarized; send the data to be summarized to the data review end so that the data review end can review the data to be summarized; when the data review end has reviewed the data to be summarized, summarize the data to be summarized.

[0168] In one embodiment, Fig.10 As shown, the data aggregation module 40 includes:

[0169] The interface display unit 41 is used to display a data summary interface to the target user; wherein the data summary interface includes at least two optional summary modes of the target data type to which the data to be summarized belongs;

[0170] A method determining unit 42, configured to determine a target summarization method from at least two optional summarization methods according to a target user's dragging operation on the optional summarization methods in the data summarization interface;

[0171] The data summarizing unit 43 is used to summarize the data to be summarized in a target summarizing manner.

[0172] In one embodiment, if the number of target aggregation modes is at least two, the data aggregation unit 43 is specifically configured to:

[0173] Determine the aggregation order between target aggregation methods according to the dragging order of target aggregation methods by target users; verify the aggregation order using aggregation restriction conditions associated with target data types; and if the verification passes, aggregate the data to be aggregated using the aggregation order between target aggregation methods.

[0174] In one embodiment, if the number of data providers is at least two, the data aggregation unit 43 is specifically used to:

[0175] The cross-end aggregation method in the target aggregation method is adopted, and the cross-end aggregation processing is performed on the data to be aggregated according to the end identifier of each data provider.

[0176] In one embodiment, the data processing device 1 further includes a data display module, wherein the data display module is specifically used for:

[0177] Generate a data aggregation chain for the data aggregation process based on user information, template information of the data reporting template, data to be aggregated provided by each data provider, target data obtained through aggregation processing, and target aggregation method; determine the data display method based on the historical display records associated with the target user and the data type of the target data obtained through aggregation processing; and display the data aggregation chain using the data display method.

[0178] Each module in the above data processing device can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0179] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Fig.11As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data to be summarized. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a data processing method is implemented.

[0180] Those skilled in the art will understand that Fig.11 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0181] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0182] In response to a data aggregation request from a target user, a target data reporting template is generated according to user information and data requirement information of the target user;

[0183] Send the target data reporting template to the data provider;

[0184] Obtain the data to be summarized fed back by the data provider based on the target data reporting template;

[0185] The data to be summarized is summarized.

[0186] In one embodiment, the user information includes user identity information. When the processor executes the logic of generating a target data reporting template according to the user information and data requirement information of the target user in the computer program, the following steps are specifically implemented:

[0187] Select a general data reporting template that matches the user identity information from the candidate data reporting templates; display the general data reporting template to the target user; obtain data demand information based on the input operation of the target user on the general data reporting template; generate a target data reporting template based on the data demand information and the general data reporting template.

[0188] In one embodiment, when the processor executes the logic of performing aggregation processing on the data to be aggregated in the computer program, the following steps are specifically implemented:

[0189] According to the data review identifier corresponding to the target data reporting template, determine the data review end corresponding to the data to be summarized; send the data to be summarized to the data review end so that the data review end can review the data to be summarized; when the data review end has reviewed the data to be summarized, summarize the data to be summarized.

[0190] In one embodiment, when the processor executes the logic of performing aggregation processing on the data to be aggregated in the computer program, the following steps are specifically implemented:

[0191] A data summary interface is displayed to the target user; wherein the data summary interface includes at least two optional summary methods for the target data type to which the data to be summarized belongs; a target summary method is determined from at least two optional summary methods according to the target user's dragging operation on the optional summary methods in the data summary interface; and the data to be summarized is summarized using the target summary method.

[0192] In one embodiment, if the number of target aggregation methods is at least two, when the processor executes the logic of adopting the target aggregation method in the computer program to aggregate the data to be aggregated, the following steps are specifically implemented:

[0193] Determine the aggregation order between target aggregation methods according to the dragging order of target aggregation methods by target users; verify the aggregation order using aggregation restriction conditions associated with target data types; and if the verification passes, aggregate the data to be aggregated using the aggregation order between target aggregation methods.

[0194] In one embodiment, if the number of data providers is at least two, when the processor executes the logic of aggregating the data to be aggregated in the computer program using the target aggregation method, the following steps are specifically implemented:

[0195] The cross-end aggregation method in the target aggregation method is adopted, and the cross-end aggregation processing is performed on the data to be aggregated according to the end identifier of each data provider.

[0196] In one embodiment, after the data to be summarized is summarized, when the processor executes the logic in the computer program, the following steps are specifically implemented:

[0197] Generate a data aggregation chain for the data aggregation process based on user information, template information of the data reporting template, data to be aggregated provided by each data provider, target data obtained through aggregation processing, and target aggregation method; determine the data display method based on the historical display records associated with the target user and the data type of the target data obtained through aggregation processing; and display the data aggregation chain using the data display method.

[0198] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0199] In response to a data aggregation request from a target user, a target data reporting template is generated according to user information and data requirement information of the target user;

[0200] Send the target data reporting template to the data provider;

[0201] Obtain the data to be summarized fed back by the data provider based on the target data reporting template;

[0202] The data to be summarized is summarized.

[0203] In one embodiment, the user information includes user identity information. When the code logic of generating a target data reporting template according to the user information and data requirement information of the target user in the computer program is executed by the processor, the following steps are specifically implemented:

[0204] Select a general data reporting template that matches the user identity information from the candidate data reporting templates; display the general data reporting template to the target user; obtain data demand information based on the input operation of the target user on the general data reporting template; generate a target data reporting template based on the data demand information and the general data reporting template.

[0205] In one embodiment, when the code logic of the computer program for performing aggregation processing on the data to be aggregated is executed by the processor, the following steps are specifically implemented:

[0206] According to the data review identifier corresponding to the target data reporting template, determine the data review end corresponding to the data to be summarized; send the data to be summarized to the data review end so that the data review end can review the data to be summarized; when the data review end has reviewed the data to be summarized, summarize the data to be summarized.

[0207] In one embodiment, when the code logic of the computer program for performing aggregation processing on the data to be aggregated is executed by the processor, the following steps are specifically implemented:

[0208] A data summary interface is displayed to the target user; wherein the data summary interface includes at least two optional summary methods for the target data type to which the data to be summarized belongs; a target summary method is determined from at least two optional summary methods according to the target user's dragging operation on the optional summary methods in the data summary interface; and the data to be summarized is summarized using the target summary method.

[0209] In one embodiment, if the number of target aggregation methods is at least two, when the code logic of adopting the target aggregation method to aggregate the data to be aggregated in the computer program is executed by the processor, the following steps are specifically implemented:

[0210] Determine the aggregation order between target aggregation methods according to the dragging order of target aggregation methods by target users; verify the aggregation order using aggregation restriction conditions associated with target data types; and if the verification passes, aggregate the data to be aggregated using the aggregation order between target aggregation methods.

[0211] In one embodiment, if the number of data providers is at least two, the target aggregation method is adopted in the computer program, and when the code logic of aggregating the data to be aggregated is executed by the processor, the following steps are specifically implemented:

[0212] The cross-end aggregation method in the target aggregation method is adopted, and the cross-end aggregation processing is performed on the data to be aggregated according to the end identifier of each data provider.

[0213] In one embodiment, after the data to be aggregated is aggregated, when the code logic in the computer program is executed by the processor, the following steps are specifically implemented:

[0214] Generate a data aggregation chain for the data aggregation process based on user information, template information of the data reporting template, data to be aggregated provided by each data provider, target data obtained through aggregation processing, and target aggregation method; determine the data display method based on the historical display records associated with the target user and the data type of the target data obtained through aggregation processing; and display the data aggregation chain using the data display method.

[0215] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0216] In response to a data aggregation request from a target user, a target data reporting template is generated according to user information and data requirement information of the target user;

[0217] Send the target data reporting template to the data provider;

[0218] Obtain the data to be summarized fed back by the data provider based on the target data reporting template;

[0219] The data to be summarized is summarized.

[0220] In one embodiment, the user information includes user identity information. When the computer program is executed by the processor to generate a target data reporting template according to the user information and data requirement information of the target user, the following steps are specifically implemented:

[0221] Select a general data reporting template that matches the user identity information from the candidate data reporting templates; display the general data reporting template to the target user; obtain data demand information based on the input operation of the target user on the general data reporting template; generate a target data reporting template based on the data demand information and the general data reporting template.

[0222] In one embodiment, when the computer program is executed by the processor to perform an operation of summarizing the data to be summarized, the following steps are specifically implemented:

[0223] According to the data review identifier corresponding to the target data reporting template, determine the data review end corresponding to the data to be summarized; send the data to be summarized to the data review end so that the data review end can review the data to be summarized; when the data review end has reviewed the data to be summarized, summarize the data to be summarized.

[0224] In one embodiment, when the computer program is executed by the processor to perform an operation of summarizing the data to be summarized, the following steps are specifically implemented:

[0225] A data summary interface is displayed to the target user; wherein the data summary interface includes at least two optional summary methods for the target data type to which the data to be summarized belongs; a target summary method is determined from at least two optional summary methods according to the target user's dragging operation on the optional summary methods in the data summary interface; and the data to be summarized is summarized using the target summary method.

[0226] In one embodiment, if the number of target aggregation methods is at least two, when the computer program is executed by the processor to adopt the target aggregation method to aggregate the data to be aggregated, the following steps are specifically implemented:

[0227] Determine the aggregation order between target aggregation methods according to the dragging order of target aggregation methods by target users; verify the aggregation order using aggregation restriction conditions associated with target data types; and if the verification passes, aggregate the data to be aggregated using the aggregation order between target aggregation methods.

[0228] In one embodiment, if the number of data providers is at least two, when the computer program is executed by the processor to perform an operation of aggregating the data to be aggregated in a target aggregation manner, the following steps are specifically implemented:

[0229] The cross-end aggregation method in the target aggregation method is adopted, and the cross-end aggregation processing is performed on the data to be aggregated according to the end identifier of each data provider.

[0230] In one embodiment, after the data to be summarized is summarized, when the computer program is executed by the processor, the following steps are specifically implemented:

[0231] Generate a data aggregation chain for the data aggregation process based on user information, template information of the data reporting template, data to be aggregated provided by each data provider, target data obtained through aggregation processing, and target aggregation method; determine the data display method based on the historical display records associated with the target user and the data type of the target data obtained through aggregation processing; and display the data aggregation chain using the data display method.

[0232] It should be noted that the user information (including but not limited to user identity information, etc.) and data (including but not limited to data to be aggregated, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0233] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0234] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0235] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A data processing method, characterized in that: The method comprises: In response to a data aggregation request from a target user, a general data reporting template matching the user identity information is selected from candidate data reporting templates, and a target data reporting template is generated according to the general data reporting template and data requirement information; Sending the target data reporting template to the data provider; Acquire the data to be aggregated fed back by the data provider based on the target data reporting template; Displaying a data summary interface to the target user; wherein the data summary interface includes at least two optional summary modes for the target data type to which the data to be summarized belongs; Determining a target summarization method from at least two optional summarization methods according to a dragging operation of the target user on the optional summarization methods in the data summarization interface; The calculation formula involved in the target aggregation method is used to aggregate the data to be aggregated; If the number of the target aggregation methods is at least two, the calculation formula involved in the target aggregation method is used to aggregate the data to be aggregated, including: Determining the order of aggregation among the target aggregation methods according to the order in which the target user drags the target aggregation methods; Verifying the aggregation order using the aggregation restriction condition associated with the target data type; If the verification is passed, the data to be aggregated is aggregated using the calculation formulas involved in each target aggregation method and the aggregation order between each target aggregation method; In the case where the verification fails, the aggregation order is adjusted according to the aggregation restriction condition associated with the target data type, and the adjusted aggregation order is fed back to the target user.

2. The method according to claim 1, characterized in that: The step of generating a target data reporting template according to the general data reporting template and the data requirement information includes: Displaying the general data reporting template to the target user; Acquiring data demand information according to the input operation of the target user on the general data reporting template; A target data reporting template is generated according to the data demand information and the general data reporting template.

3. The method according to claim 1, characterized in that The aggregating the data to be aggregated includes: Determine the data review end corresponding to the data to be summarized according to the data review identifier corresponding to the target data reporting template; Sending the data to be aggregated to the data audit end so that the data audit end audits the data to be aggregated; When the data review end has reviewed and approved the data to be summarized, the data to be summarized is summarized.

4. The method according to claim 1, characterized in that If the number of the data providers is at least two, the step of using the calculation formula involved in the target aggregation method to aggregate the data to be aggregated includes: The calculation formula involved in the cross-end aggregation method in the target aggregation method is adopted, and the cross-end aggregation processing is performed on each data to be aggregated according to the end identifier of each data providing end.

5. The method according to claim 1, characterized in that: After the data to be aggregated is aggregated, the method further includes: Generate a data aggregation chain of the data aggregation process according to the user information, the template information of the data filling template, the data to be aggregated provided by each data provider, the target data obtained through the aggregation process, and the target aggregation method; Determine a data display method according to the historical display records associated with the target user and the data type of the target data obtained through aggregation processing; The data summary chain is displayed using the data display method.

6. A data processing device, characterized in that: The device comprises: A template generation module, for responding to a data aggregation request of a target user, selecting a general data reporting template that matches the user's identity information from candidate data reporting templates, and generating a target data reporting template based on the general data reporting template and data requirement information; A template sending module, used for sending the target data reporting template to the data provider; A data acquisition module, used for acquiring the data to be aggregated fed back by the data provider based on the target data reporting template; A data aggregation module is used to display a data aggregation interface to the target user; wherein the data aggregation interface includes at least two optional aggregation methods of the target data type to which the data to be aggregated belongs; according to the target user's dragging operation on the optional aggregation methods in the data aggregation interface, a target aggregation method is determined from at least two optional aggregation methods; the data to be aggregated is aggregated using the calculation formula involved in the target aggregation method; wherein, if the number of the target aggregation methods is at least two, the aggregation of the data to be aggregated using the calculation formula involved in the target aggregation method comprises: determining the aggregation order between the target aggregation methods according to the dragging order of the target aggregation methods by the target user; verifying the aggregation order using the aggregation restriction condition associated with the target data type; if the verification passes, the data to be aggregated is aggregated using the calculation formula involved in the target aggregation method and the aggregation order between the target aggregation methods; if the verification fails, adjusting the aggregation order according to the aggregation restriction condition associated with the target data type, and feeding back the adjusted aggregation order to the target user.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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