Business data analysis and management method and related equipment

Abstract

The embodiment of the invention provides a business data analysis and management method, device and system. The method comprises the following steps: acquiring business data and corresponding target object data; verifying the target object data to obtain a verification result; and calling a management interface to send the business data to a corresponding target object based on the verification result. By verifying the target object data corresponding to the service data, it is ensured that only the data meeting the standard is sent to the target object, the management interface is called based on the verification result to conduct automatic data transmission, the accuracy and consistency of the data are ensured, and through the method, the transmission efficiency is improved, and the user experience is improved. In addition, the security of data transmission is enhanced, manual intervention is reduced, the risk of error occurrence is reduced, flexible adaptation can be achieved according to different requirements, and the adaptability and resource utilization efficiency of the system are improved.

Description

Technical Field

[0001] The present invention relates to the field of smart management, and in particular to a business data analysis management method, device, system, electronic equipment and storage medium thereof. Background Art

[0002] In the digital transformation process of modern enterprises, the collection and processing of business data plays a vital role. With the rapid development of information technology, enterprises are increasingly relying on automated data collection systems to collect business data from different sources. These data sources usually include multiple systems and platforms, such as ERP systems, CRM systems, production management systems, etc. The diversity and complexity of data make data accuracy and consistency a difficult problem. Traditional data transmission methods rely on human intervention and manual processing, which can easily lead to data errors, delays and waste of resources.

[0003] The current business data analysis and management methods are unable to consider the content of the business process to determine the corresponding transmission data, and often require business personnel to verify and confirm the data, and lack the ability to automate data transmission. Therefore, the current business data analysis and management methods have problems such as inconsistent data quality, the need for manual verification and confirmation, lack of automation, and inability to perform security checks on data content. Summary of the invention

[0004] The embodiment of the present invention provides a business data analysis management method to solve the problems of the existing business data analysis management method, such as inconsistent data quality, the need for manual verification and confirmation, lack of automation, and inability to perform security detection on data content.

[0005] In a first aspect, an embodiment of the present invention provides a business data analysis management method, the method comprising the following steps: Obtain business data and corresponding target object data; Verifying the target object data to obtain a verification result; Based on the verification result, a management interface is called to send the business data to a corresponding target object.

[0006] Optionally, the business data includes business process data and business indicator data, and the acquiring of the business data and the corresponding target object data includes: Confirm the source information and content information of the business data; Based on the content information, determining business process data and business indicator data of the business data; Based on the source information, the corresponding target object data is confirmed.

[0007] Optionally, before confirming the corresponding target object data based on the source information, the method further includes: Based on the source information, matching the IP address of the source information and the target ID in the database; If the match is successful, the data corresponding to the target ID is called as the target object data; If the match fails, the business data corresponding to the source information is rejected.

[0008] Optionally, the verifying the target object data to obtain a verification result includes: Confirm the ID of the target object data and the corresponding ID authority; Based on the ID authority, determine whether the target object data has the authority to manually trigger the sending of information reminders.

[0009] Optionally, judging whether the target object data has permission to manually trigger sending of information reminder based on the ID permission includes: Confirm the 4a account parameter of the target object data; If the 4a account parameter of the target object data has the authority to manually trigger and send information reminders, the content information is sent to the terminal bound to the target object data; If the 4a account parameter of the target object data does not have the authority to manually trigger and send information reminders, the content information will not be sent to the terminal bound to the target object data, and a rejection of sending reminders will be returned.

[0010] Optionally, based on the verification result, calling a management interface to send the business data to a corresponding target object includes: When the verification result is that the user has the permission, determining a transmission format corresponding to the service data; Based on the transmission format, determine the corresponding API calling interface; The business data is sent to the corresponding target object through the API calling interface.

[0011] In a second aspect, an embodiment of the present invention further provides a business data analysis management device, the business data analysis management device comprising: A first acquisition module, used to acquire business data and corresponding target object data; A second acquisition module is used to verify the target object data and obtain a verification result; A calling module is used to call a management interface to send the business data to a corresponding target object based on the verification result.

[0012] In a third aspect, an embodiment of the present invention further provides a business data analysis and management system, which includes: a business data analysis and management device, a server, and a terminal.

[0013] In a fourth aspect, an embodiment of the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps in the business data analysis and management method provided in the embodiment of the present invention are implemented.

[0014] In a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps in the business data analysis management method provided in the embodiment of the invention are implemented.

[0015] In the embodiment of the present invention, business data and corresponding target object data are obtained; the target object data is verified to obtain a verification result; based on the verification result, the management interface is called to send the business data to the corresponding target object. By verifying the target object data corresponding to the business data, it is ensured that only data that meets the standard is sent to the target object, and the management interface is called based on the verification result to perform automatic data transmission, thereby ensuring the accuracy and consistency of the data. The above method not only improves the transmission efficiency, but also enhances the security of data transmission, reduces manual intervention, reduces the risk of errors, and can flexibly adapt to different needs, thereby improving the adaptability of the system and resource utilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 This is an architecture diagram of a business data analysis and management system provided by an embodiment of the present invention; Figure 2 is a flow chart of a business data analysis management method provided by an embodiment of the present invention; Figure 3 It is a structural schematic diagram of a business data analysis management method device provided in an embodiment of the present invention; Figure 4 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship. like Figure 1 , Figure 1 A business data analysis and management system provided by an embodiment of the present invention comprises the following parts: a business data analysis and management device, a server and a terminal.

[0020] The above-mentioned business data analysis and management device also includes: a first acquisition module, which can be used to acquire business data and corresponding target object data; a second acquisition module, which can be used to verify the target object data and obtain a verification result; and a calling module, which can be used to call the management interface based on the verification result to send the business data to the corresponding target object.

[0021] Among them, the above-mentioned business data may refer to the data generated by the enterprise during its operation and directly related to its core business activities. These data usually come from various management systems of the enterprise, such as ERP (Enterprise Resource Planning) system, CRM (Customer Relationship Management) system, financial system, production management system, etc. Business data may include but is not limited to specific quantitative data in the corresponding system (such as sales, inventory quantity, production cycle, etc.), and may include qualitative data (such as customer feedback, market trend analysis, etc.).

[0022] The above-mentioned business data may also include but are not limited to business step processes and business domain knowledge, that is, the steps to complete the process or business function and the corresponding professional field common sense required. It can be understood that business data can enable data transmission automation to be located during the identification process, and can also enable developers to accurately obtain corresponding functional modules based on business data for precise development.

[0023] Specifically, the above-mentioned business data can be an indicator message generated during the system operation process, which is used to transmit the functional parameters of the functional module corresponding to the current business. The specific content can be based on the current business needs and content, and the corresponding functional parameters can be sent to the corresponding business personnel or system administrator through the terminal.

[0024] The above-mentioned target object data may refer to data associated with business data and generated or contained in a specific system or entity that needs to receive and process business data. For example, it may be business personnel who follow up on the corresponding functional module in the current operating system, or a subsystem that manages the corresponding business data in the above-mentioned business data analysis and management system.

[0025] Specifically, the above-mentioned target object data may include but is not limited to the enterprise's internal management system, external data platform, decision support system, data repository, report generation tools, etc., and can also be used to provide information support for the enterprise's analysis, monitoring, reporting and decision-making.

[0026] The above verification process may refer to the process of reviewing, screening and verifying the target object data to ensure the accuracy, completeness and consistency of the data. Specifically, it is usually carried out through a series of preset rules, algorithms or models, such as data format verification, data range verification, logical consistency check, data integrity verification, etc. It can also be determined by matching the identification parameters of the target object data, such as ID, UID, etc., in the system database, and determining the final verification result based on the matching result.

[0027] The above-mentioned management interface can be a system interface used for data interaction and communication between different systems or modules. The management interface is usually used to control and coordinate the transmission, processing and access of data. It connects the data source system and the target object system to ensure that data can flow safely and accurately between each link.

[0028] The above-mentioned calling process can be that after completing the verification of the target object data, the above-mentioned business data analysis and management system automatically decides whether to trigger data transmission based on the verification result (whether it meets the predetermined standards). Specifically, during the verification process, the system first checks the accuracy, completeness and consistency of the target object data to ensure that it meets the set standards.

[0029] In a possible embodiment, the business data analysis and management system verifies the target object data corresponding to the business data to ensure that only data that meets the standards is sent to the target object, and calls the management interface for automated data transmission based on the verification results, thereby ensuring the accuracy and consistency of the data. The above method not only improves the transmission efficiency, but also enhances the security of data transmission, reduces human intervention, reduces the risk of errors, and can flexibly adapt to different needs, thereby improving the adaptability of the system and resource utilization efficiency.

[0030] like Figure 2 As shown, Figure 2 : is a flow chart of a business data analysis management method provided by an embodiment of the present invention, the business data analysis management method comprising the steps of: S201. Acquire business data and corresponding target object data.

[0031] In an embodiment of the present invention, the above-mentioned business data analysis management method can be applied to a business data analysis management system. The above-mentioned business data analysis management system has functions such as business data processing, business data sending and receiving, and business data storage, and can be constructed based on a server or a server cluster. The above-mentioned server or server cluster can be an electronic device with business data processing capabilities.

[0032] The above-mentioned business data may refer to data generated by an enterprise during its operations and directly related to its core business activities. Such data usually originate from various management systems of the enterprise, such as ERP (Enterprise Resource Planning) system, CRM (Customer Relationship Management) system, financial system, production management system, etc. Business data may include but is not limited to specific quantitative data in the corresponding system (such as sales, inventory quantity, production cycle, etc.), and may include qualitative data (such as customer feedback, market trend analysis, etc.).

[0033] The above-mentioned business data may also include but are not limited to business step processes and business domain knowledge, that is, the steps to complete the process or business function and the corresponding professional field common sense required. It can be understood that business data can enable data transmission automation to be located during the identification process, and can also enable developers to accurately obtain corresponding functional modules based on business data for precise development.

[0034] S202: Verify the target object data to obtain a verification result.

[0035] The above verification process may refer to the process of reviewing, screening and verifying the target object data to ensure the accuracy, completeness and consistency of the data. Specifically, it is usually carried out through a series of preset rules, algorithms or models, such as data format verification, data range verification, logical consistency check, data integrity verification, etc. It can also be determined by matching the identification parameters of the target object data, such as ID, UID, etc., in the system database, and determining the final verification result based on the matching result.

[0036] S103. Based on the verification result, call the management interface to send the business data to the corresponding target object.

[0037] The above-mentioned management interface can be a system interface used for data interaction and communication between different systems or modules. The management interface is usually used to control and coordinate the transmission, processing and access of data. It connects the data source system and the target object system to ensure that data can flow safely and accurately between each link.

[0038] The above-mentioned calling process can be that after completing the verification of the target object data, the above-mentioned business data analysis and management system automatically decides whether to trigger data transmission according to the verification result (whether it meets the predetermined standard). Specifically, during the verification process, the system first checks the accuracy, completeness and consistency of the target object data to ensure that it meets the set standards. It can be understood that the timed triggering of the middle office service event and the button triggering event function can be edited through Echarts, that is, the function for triggering data transmission can be edited or set through any code programming tool such as Echarts.

[0039] In the embodiment of the present invention, business data and corresponding target object data are obtained; the target object data is verified to obtain a verification result; based on the verification result, the management interface is called to send the business data to the corresponding target object. By verifying the target object data corresponding to the business data, it is ensured that only data that meets the standard is sent to the target object, and the management interface is called based on the verification result to perform automatic data transmission, thereby ensuring the accuracy and consistency of the data. The above method not only improves the transmission efficiency, but also enhances the security of data transmission, reduces manual intervention, reduces the risk of errors, and can flexibly adapt to different needs, thereby improving the adaptability of the system and the efficiency of resource utilization.

[0040] Optionally, the business data includes business process data and business indicator data. The step of obtaining the business data and the corresponding target object data also includes: confirming the source information and content information of the business data; based on the content information, determining the business process data and business indicator data of the business data; based on the source information, confirming the corresponding target object data.

[0041] In an embodiment of the present invention, the above-mentioned source information may include but is not limited to a detailed description and identification information capable of determining the source of the relevant business data. Generally speaking, it may be key information such as the source channel, generation method, storage location, etc. corresponding to the business data, for example, the source system, the time and frequency of business data generation, the business data collection method, and the owner of the business data.

[0042] The above content information may refer to the specific description of the business data and detailed information on the content, which helps the system understand the actual meaning and usage scenarios of the data. Generally speaking, it may be information such as data fields and formats, business meanings, and dimensions and scopes of business data.

[0043] The above-mentioned business process data can be data reflecting specific business activities, processes and events during the operation process, and can include but is not limited to process data, which is used to confirm process progress, functional attributes, development objects, and maintenance objects. It is understandable that the functional attributes of the corresponding system in the current business can be confirmed through business process data, that is, what functions the business can achieve under the framework of the system.

[0044] The above business indicator data can be used to measure and evaluate the quantitative data of the enterprise business operation status, and can usually be used to monitor the operation status of the above business data management system.

[0045] In a possible embodiment, the business data management system ensures the correctness and validity of the data by confirming the source information and content information of the business data, and obtains the corresponding business data from multiple business systems (such as CRM system, ERP system), and parses the data based on the content information corresponding to the business data to identify business process data (such as order processing status, customer feedback, etc.) and business indicator data (such as sales, conversion rate, etc.). By confirming the target object data (such as financial system, inventory management system, etc.) based on the source information, the system verifies the accuracy and consistency of the target object data to ensure that it meets the preset standards. Based on the verification results, the system automatically calls the management interface to transfer the business data that meets the standards to the target object, thereby achieving efficient and accurate data updates.

[0046] Optionally, the step before confirming the corresponding target object data based on the source information also includes matching the IP of the source information and the target ID in the database based on the source information; if the match is successful, calling the data corresponding to the target ID as the target object data; if the match fails, refusing to receive the business data corresponding to the source information.

[0047] In the embodiment of the present invention, the data of the above-mentioned target ID includes an ID identification for identifying the object and a permission ID corresponding to the permission library. It can be understood that it is necessary to confirm the data of the target ID to determine whether the target object data can be transmitted.

[0048] The above-mentioned business data management system obtains the source information of the business data, including but not limited to the source IP and target ID, and matches the source information with the records in the database. The business data management system uses the source IP and target ID as query conditions to search for the corresponding target object data in the database. If the match is successful, the business data management system confirms that the data of the target ID is valid target object data, and then calls the management interface to send the business data to the target object for storage or processing. If the match fails, the business data management system refuses to receive the corresponding business data and generates a warning log to ensure that illegal or non-standard data will not enter, and only verified data will be processed and transmitted. In this way, the business data management system can effectively ensure the accuracy and security of data transmission, reduce the interference of invalid data, improve the reliability of data, and reduce the risk of errors.

[0049] Optionally, in the step of verifying the target object data and obtaining the verification result, it also includes confirming the ID of the target object data and the corresponding ID authority; based on the ID authority, it is determined whether the target object data has the authority to manually trigger the sending of information reminders.

[0050] In an embodiment of the present invention, the business data management system confirms the ID of the target object data and queries the corresponding permission information in the database based on the ID. The business data management system determines whether the target object data has the permission to manually trigger the sending of information reminders by matching the ID permissions. If the ID permission has a permission entry in the permission database, the business data management system believes that the target object data has the trigger permission and then allows the data to manually trigger the information reminder operation. If the ID permission does not meet the requirements, the business data management system prohibits triggering information reminders and records operation attempts with insufficient permissions to ensure that only users or data with legal permissions can trigger reminders. Based on this judgment mechanism, the business data management system can effectively control the triggering permissions of information reminders, avoid unauthorized data operations by verifying the ID and its permissions, and improve the security and management control capabilities of the business data management system.

[0051] Optionally, in the step of determining whether the target object data has the authority to manually trigger and send information reminders based on ID permissions, it also includes confirming the 4a account parameters of the target object data; if the 4a account parameters of the target object data have the authority to manually trigger and send information reminders, the content information is sent to the terminal bound to the target object data; if the 4a account parameters of the target object data do not have the authority to manually trigger and send information reminders, the content information is not sent to the terminal bound to the target object data, and a refusal to send the reminder is returned.

[0052] In the embodiment of the present invention, the above 4a account parameters may include but are not limited to the four core functions of identity authentication and authorization, namely, Authentication, Authorization, Accounting, and Audit. Specifically, they can be used to manage the system's control over user permissions and the recording of operation behaviors. Specifically, the system uses the 4A account parameters to ensure that only users or accounts that meet the permission requirements can perform certain sensitive operations, such as triggering data transmission, information reminders, etc., thereby improving the security and control capabilities of the system.

[0053] In a possible embodiment, the business data management system obtains the 4A account information of the target object data and searches for the permission settings corresponding to the account parameters. If the account parameters have the permission to manually trigger and send information reminders, the business data management system will send messages or notifications to the terminal bound to the target object data according to the content information, ensuring that the target object with permission can receive timely information reminders; if the 4A account parameters do not have the permission to manually trigger and send information reminders, the business data management system will not send content information to the terminal corresponding to the target object data, and return a response to the user requesting the operation to refuse to send reminders, ensuring that only authorized users or data can trigger information reminders. Through this mechanism, the business data management system can effectively control the triggering permissions of information reminders, avoid unauthorized operations, and ensure the security and compliance of the system.

[0054] Optionally, in the step of calling the management interface to send business data to the corresponding target object based on the verification result, it also includes determining the transmission format corresponding to the business data when the verification result is that the business data has permission; determining the corresponding API calling interface based on the transmission format; and sending the business data to the corresponding target object through the API calling interface.

[0055] In an embodiment of the present invention, after the above-mentioned business data management system confirms that the target object data has corresponding permissions based on the verification results, it selects the transmission format of the business data based on business needs or the requirements of the target system, and finally sends the business data to the corresponding target object in the selected transmission format through the API call interface.

[0056] The above business requirements can be confirmed by analyzing the business data based on the Big Watt AI model, and the above API call interface can also be called through Python or Java.

[0057] Through the above method, the accuracy and security of the data transmission process can be ensured, while the compatibility and availability of data can be ensured according to different data formats and requirements of the target system.

[0058] like Figure 3 As shown, the embodiment of the present invention further provides a business data analysis management device 300, the business data analysis management device comprising: The first acquisition module 301 is used to acquire business data and corresponding target object data; The second acquisition module 302 is used to verify the target object data and obtain a verification result; The calling module 303 is used to call the management interface to send the business data to the corresponding target object based on the verification result.

[0059] Optionally, the first acquisition module 301 includes: A first determination submodule is used to confirm the source information and content information of the business data; A second determination submodule, configured to determine business process data and business indicator data of the business data based on the content information; The third determination submodule is used to confirm the corresponding target object data based on the source information.

[0060] Optionally, the above device further includes: A first matching module, for matching the IP address of the source information and the target ID in a database based on the source information; A second matching module is used to call the data corresponding to the target ID as the target object data if the match is successful; The third matching module is used to refuse to receive the business data corresponding to the source information if the matching fails.

[0061] Optionally, the second acquisition module 302 includes: A fourth determination submodule is used to confirm the ID of the target object data and the corresponding ID authority; The judgment submodule is used to judge whether the target object data has the authority to manually trigger the sending of information reminders based on the ID authority.

[0062] Optionally, the above-mentioned judgment submodule includes: A determination unit, used to confirm the 4a account parameter of the target object data; A first judgment unit is used to send the content information to the terminal bound to the target object data if the 4a account parameter of the target object data has the authority to manually trigger and send information reminders; The second judgment unit is used for not sending the content information to the terminal bound to the target object data and returning a refusal to send the reminder if the 4a account parameter of the target object data does not have the authority to manually trigger and send the information reminder.

[0063] Optionally, the calling module 303 includes: A transmission submodule, used for determining a transmission format corresponding to the business data when the verification result is that the business data has the permission; An interface submodule, used to determine a corresponding API calling interface based on the transmission format; The sending submodule is used to send the business data to the corresponding target object through the API calling interface.

[0064] like Figure 4 As shown, an embodiment of the present invention further provides an electronic device 400, including a processor, and the processor can execute any one of the above-mentioned business data analysis and management methods.

[0065] Specifically, it includes a processor 401 and a memory 402, and a computer program for executing the business data analysis management method stored in the memory 402 and capable of running on the processor 401, wherein: The processor 401 runs the computer program of the business data analysis management method stored in the memory 402 to perform the following steps: Obtain business data and corresponding target object data; Verifying the target object data to obtain a verification result; Based on the verification result, a management interface is called to send the business data to a corresponding target object.

[0066] Optionally, the processor 401 executes the business data including business process data and business indicator data, and the acquiring of the business data and the corresponding target object data includes: Confirm the source information and content information of the business data; Based on the content information, determining business process data and business indicator data of the business data; Based on the source information, the corresponding target object data is confirmed.

[0067] Optionally, before the processor 401 executes the step of confirming the corresponding target object data based on the source information, the method further includes: Based on the source information, matching the IP address of the source information and the target ID in the database; If the match is successful, the data corresponding to the target ID is called as the target object data; If the match fails, the business data corresponding to the source information is rejected.

[0068] Optionally, the processor 401 performs the verification on the target object data to obtain a verification result, including: Confirm the ID of the target object data and the corresponding ID authority; Based on the ID authority, determine whether the target object data has the authority to manually trigger the sending of information reminders.

[0069] Optionally, the processor 401 executes the step of determining whether the target object data has the permission to manually trigger the sending of an information reminder based on the ID permission, including: Confirm the 4a account parameter of the target object data; If the 4a account parameter of the target object data has the authority to manually trigger and send information reminders, the content information is sent to the terminal bound to the target object data; If the 4a account parameter of the target object data does not have the authority to manually trigger and send information reminders, the content information will not be sent to the terminal bound to the target object data, and a rejection of sending reminders will be returned.

[0070] Optionally, the processor 401 further executes the calling of a management interface to send the business data to a corresponding target object based on the verification result, including: When the verification result is that the user has the permission, determining a transmission format corresponding to the service data; Based on the transmission format, determine the corresponding API calling interface; The business data is sent to the corresponding target object through the API calling interface.

[0071] An embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the computer program implements the various processes of the business data analysis management method or the application-side business data analysis management method provided by the embodiment of the present invention, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0072] Those skilled in the art can understand that the implementation of all or part of the processes in the above-mentioned embodiments is a program that can be completed by instructing related hardware through a computer program, and can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0073] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A business data analysis management method, characterized in that: include: Obtain business data and corresponding target object data; Verifying the target object data to obtain a verification result; Based on the verification result, a management interface is called to send the business data to a corresponding target object.

2. The business data analysis and management method according to claim 1, characterized in that: The business data includes business process data and business indicator data, and the acquisition of business data and corresponding target object data includes: Confirm the source information and content information of the business data; Based on the content information, determining business process data and business indicator data of the business data; Based on the source information, the corresponding target object data is confirmed.

3. The business data analysis and management method according to claim 1, characterized in that: Before confirming the corresponding target object data based on the source information, the method further includes: Based on the source information, matching the IP address of the source information and the target ID in the database; If the match is successful, the data corresponding to the target ID is called as the target object data; If the match fails, the business data corresponding to the source information is rejected.

4. The business data analysis management method according to claim 1, characterized in that: The verifying the target object data to obtain a verification result includes: Confirm the ID of the target object data and the corresponding ID authority; Based on the ID authority, determine whether the target object data has the authority to manually trigger the sending of information reminders.

5. The business data analysis management method of claim 4, characterized in that: The determining, based on the ID authority, whether the target object data has the authority to manually trigger the sending of an information reminder includes: Confirm the 4a account parameter of the target object data; If the 4a account parameter of the target object data has the authority to manually trigger and send information reminders, the content information is sent to the terminal bound to the target object data; If the 4a account parameter of the target object data does not have the authority to manually trigger and send information reminders, the content information will not be sent to the terminal bound to the target object data, and a rejection of sending reminders will be returned.

6. The business data analysis management method of claim 5, characterized in that: The calling of a management interface to send the business data to a corresponding target object based on the verification result includes: When the verification result is that the user has the permission, determining a transmission format corresponding to the service data; Based on the transmission format, determine the corresponding API calling interface; The business data is sent to the corresponding target object through the API calling interface.

7. A business data analysis and management device, characterized in that: include: A first acquisition module, used to acquire business data and corresponding target object data; A second acquisition module is used to verify the target object data and obtain a verification result; A calling module is used to call a management interface to send the business data to a corresponding target object based on the verification result.

8. A business data analysis and management system, characterized in that: include: Business data analysis and management device; The business data analysis and management device is determined by a business data analysis and management method shown in claims 1-6.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the business data analysis and management method as described in any one of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the business data analysis and management method according to any one of claims 1 to 6 are implemented.

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