Process management decision-making method and device based on dynamic construction, equipment and medium

Abstract

The invention discloses a process management decision-making method and device based on dynamic construction, equipment and a medium, and the method comprises the steps: describing a business process in a flow chart mode, the business process comprising all branches and an exception handling path; establishing a data warehouse, storing data in the learning case, performing structured association on a scene in the learning case and the data, and performing detection and trend analysis on the data in the learning case to obtain a data processing result; according to the business process and the data processing result of the data warehouse, generating a business report and a financial report at the key node, and performing data visualization of the whole process; based on the key indexes and the real-time data of the data visualization display, the learning progress, ability and interest of the student are analyzed, the teaching content and difficulty are dynamically adjusted, and a target learning path is determined; and dynamically adjusting the business process based on the target learning path in a low-code mode. According to the invention, teaching quality and efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent teaching technology, and in particular to a process management decision method, device, equipment and medium based on dynamic construction. Background Art

[0002] Professional knowledge training is particularly important in modern society, especially in the training of financial talents, which involves a lot of content. In traditional teaching and corporate management, process management often relies on static templates and fixed steps, lacking flexibility and adaptability. Especially in a complex and changing business environment, this static approach is difficult to cope with the ever-changing market conditions and corporate needs, resulting in delayed decision-making and inefficiency. In addition, it is difficult for students to be exposed to real business scenarios during the learning process, which limits their ability to transform theoretical knowledge into practical operations, resulting in low teaching quality. Summary of the invention

[0003] The embodiments of the present invention provide a process management decision method, device, equipment and medium based on dynamic construction to improve the accuracy and quality of teaching.

[0004] In order to solve the above technical problems, the embodiment of the present application provides a process management decision method based on dynamic construction, including:

[0005] The business process is depicted in the form of a flowchart, wherein the business process includes all branches and exception handling paths;

[0006] Establish a data warehouse to store the data in the learning cases, structurally associate the scenarios in the learning cases with the data, and perform detection and trend analysis on the data in the learning cases to obtain data processing results;

[0007] Based on the business process and the data processing results of the data warehouse, business reports and financial reports are generated at key nodes, and data visualization of the entire process is performed;

[0008] Analyze students' learning progress, abilities and interests based on key indicators and real-time data displayed in data visualization, dynamically adjust teaching content and difficulty, and determine target learning paths;

[0009] Based on the target learning path, the business process is dynamically adjusted using a low-code approach.

[0010] Optionally, the detecting and trend analysis of the data in the learning case to obtain the data processing result includes:

[0011] Obtaining instructions to be processed, wherein the instructions to be processed include at least one of pattern detection, trend prediction, and identification of improvement points;

[0012] By integrating advanced analysis and machine learning engines, the instructions to be processed are automatically detected, and corresponding algorithms are used to perform detection and analysis based on the instructions to be processed to obtain data processing results.

[0013] Optionally, the step of establishing a data warehouse to store data in the learning cases and structurally associating the scenarios in the learning cases with the data includes:

[0014] Build a data warehouse and collect learning cases from different data sources. After cleaning and transforming the data in the learning cases, make structured associations with the scenarios.

[0015] Optionally, the business reports and financial reports generated at key nodes and data visualization of the entire process include:

[0016] Get real-time data;

[0017] Building a data dashboard based on preset key indicators and the real-time data;

[0018] At key nodes of the business process, corresponding business reports and financial reports are generated and displayed on the data instrument.

[0019] In order to solve the above technical problems, the embodiment of the present application further provides a process management decision device based on dynamic construction, including:

[0020] A process drawing module is used to depict the business process in the form of a flowchart, wherein the business process includes all branches and exception handling paths;

[0021] The data processing module is used to establish a data warehouse, store the data in the learning case, structurally associate the scenes in the learning case with the data, and perform detection and trend analysis on the data in the learning case to obtain data processing results;

[0022] A visualization module is used to generate business reports and financial reports at key nodes based on the business process and the data processing results of the data warehouse, and to visualize the data of the entire process;

[0023] The situation analysis module is used to analyze students’ learning progress, abilities and interests based on key indicators and real-time data displayed in data visualization, dynamically adjust teaching content and difficulty, and determine the target learning path;

[0024] A process adjustment module is used to dynamically adjust the business process based on the target learning path using a low-code approach.

[0025] Optionally, the data processing module includes:

[0026] An instruction acquisition unit, used to acquire instructions to be processed, wherein the instructions to be processed include at least one of pattern detection, trend prediction, and identification of improvement points;

[0027] The data processing unit is used to automatically detect instructions to be processed by integrating advanced analysis and machine learning engines, and to perform detection and analysis based on the instructions to be processed using corresponding algorithms to obtain data processing results.

[0028] Optionally, the visualization module includes:

[0029] A real-time data acquisition unit, used for acquiring real-time data;

[0030] A data meter construction unit, used to construct a data meter according to preset key indicators and the real-time data;

[0031] The display unit is used to generate corresponding business reports and financial reports at key nodes of the business process and display them on the data instrument.

[0032] In order to solve the above technical problems, an embodiment of the present application also provides a computer device, including 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 above-mentioned process management decision method based on dynamic construction when executing the computer program.

[0033] In order to solve the above technical problems, an embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the above-mentioned process management decision method based on dynamic construction are implemented.

[0034] The process management decision method, device, computer equipment and storage medium based on dynamic construction provided by the embodiment of the present invention depict the business process by means of a flowchart, and the business process includes all branches and exception handling paths; establish a data warehouse to store the data in the learning case, structurally associate the scenes in the learning case with the data, and detect and analyze the trend of the data in the learning case to obtain the data processing results; generate business reports and financial reports at key nodes according to the data processing results of the business process and the data warehouse, and perform data visualization of the whole process; analyze the students' learning progress, ability and interest based on the key indicators and real-time data displayed by data visualization, dynamically adjust the teaching content and difficulty, and determine the target learning path; based on the target learning path, dynamically adjust the business process in a low-code manner. Realize fast and convenient adjustment of business processes, improve the efficiency of business process adjustment, and help improve teaching quality and efficiency. . BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0036] Figure 1 is an exemplary system architecture diagram to which the present application may be applied;

[0037] Figure 2 It is a flowchart of an embodiment of the process management decision method based on dynamic construction of the present application;

[0038] Figure 3 It is a structural diagram of an embodiment of a process management decision device based on dynamic construction according to the present application;

[0039] Figure 4 It is a structural diagram of an embodiment of a computer device according to the present application. DETAILED DESCRIPTION

[0040] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of the present application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "including" and "having" and any variations thereof in the specification and claims of the present application and the above-mentioned drawings are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of the present application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0041] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0042] 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 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.

[0043] See also Figure 1,like Figure 1 As shown, the system architecture 100 may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0044] Users can use terminal devices 101 , 102 , 103 to interact with server 105 via network 104 to receive or send messages, etc.

[0045] Terminal devices 101, 102, 103 can be various electronic devices with display screens and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III), MP4 (Moving Picture Experts Group Audio Layer IV) players, laptop computers, desktop computers, etc.

[0046] The server 105 may be a server that provides various services, such as a background server that provides support for web pages displayed on the terminal devices 101 , 102 , and 103 .

[0047] It should be noted that the process management decision method based on dynamic construction provided in the embodiment of the present application is executed by a server, and accordingly, the process management decision device based on dynamic construction is set in the server.

[0048] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. According to the implementation requirements, there may be any number of terminal devices, networks and servers. The terminal devices 101, 102, 103 in the embodiment of the present application may specifically correspond to application systems in actual production.

[0049] See also Figure 2 , Figure 2 A dynamic construction-based process management decision method provided by an embodiment of the present invention is shown. Figure 1 The server in is used as an example to illustrate the details as follows:

[0050] S201: Describe the business process in the form of a flowchart, where the business process includes all branches and exception handling paths.

[0051] S202: Establish a data warehouse to store the data in the learning case, structurally associate the scenes in the learning case with the data, and perform detection and trend analysis on the data in the learning case to obtain data processing results.

[0052] Preferably, entities in business processes and learning cases are stored as metadata, and business processes are dynamically adjusted in a metadata-driven manner, so that dynamic loading and modification can be achieved without recompiling the application program, thereby improving the efficiency of business process adjustment.

[0053] In a specific optional implementation, the data in the learning case is tested and trend analyzed, and the data processing results obtained include:

[0054] Obtaining pending instructions, the pending instructions comprising at least one of pattern detection, trend prediction, and identification of improvement points;

[0055] By integrating advanced analysis and machine learning engines, it automatically detects pending instructions, and uses corresponding algorithms to perform detection and analysis based on the pending instructions to obtain data processing results.

[0056] In a specific optional implementation, establishing a data warehouse to store data in the learning case and structurally associating the scenarios in the learning case with the data includes:

[0057] Build a data warehouse and collect learning cases from different data sources. After cleaning and transforming the data in the learning cases, make structured associations with the scenarios.

[0058] S203: Generate business reports and financial reports at key nodes based on the data processing results of the business process and data warehouse, and perform data visualization of the entire process.

[0059] In a specific optional implementation, the business reports and financial reports generated at key nodes and the data visualization of the entire process include:

[0060] Get real-time data;

[0061] Build data dashboards based on preset key indicators and real-time data;

[0062] At key points in the business process, corresponding business reports and financial reports are generated and displayed on data dashboards.

[0063] S204: Based on key indicators and real-time data displayed in data visualization, analyze students' learning progress, abilities and interests, dynamically adjust teaching content and difficulty, and determine the target learning path.

[0064] In the specific example of the first embodiment of the present invention, key indicators for analysis are determined, such as study time, completion rate, and grade distribution;

[0065] Use data analysis tools, such as statistical software or machine learning algorithms, to analyze data;

[0066] Based on the analysis results, evaluate students’ learning progress and ability levels;

[0067] Identify students' interests to personalize teaching content; dynamically adjust teaching content and difficulty to suit students' learning needs.

[0068] Furthermore, personalized learning paths are developed based on students’ learning progress, abilities, and interests;

[0069] Set learning goals and milestones to guide the implementation of the learning path;

[0070] Regularly evaluate the effectiveness of your learning paths and make adjustments as needed.

[0071] S205: Based on the target learning path, use a low-code approach to dynamically adjust business processes.

[0072] Specifically, use a low-code platform to simplify the adjustment and update of business processes. Ensure that adjustments to business processes can quickly respond to changes in learning paths. Provide a user-friendly interface so that non-technical users can easily adjust business processes. Record the change history of business processes for easy tracking and auditing. Ensure that adjustments to business processes do not affect the integrity of the data warehouse and the accuracy of reports.

[0073] In this embodiment, a flowchart is used to depict the business process, which includes all branches and exception handling paths; a data warehouse is established to store the data in the learning case, the scenes in the learning case are structurally associated with the data, and the data in the learning case is detected and trend analyzed to obtain data processing results; business reports and financial reports are generated at key nodes based on the data processing results of the business process and the data warehouse, and data visualization of the entire process is performed; based on the key indicators and real-time data displayed by data visualization, the students' learning progress, ability and interest are analyzed, the teaching content and difficulty are dynamically adjusted, and the target learning path is determined; based on the target learning path, the business process is dynamically adjusted in a low-code manner. The business process can be adjusted quickly and conveniently, the efficiency of business process adjustment can be improved, and the teaching quality and efficiency can be improved.

[0074] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0075] Figure 3FIG. 1 is a block diagram showing a process management decision device based on dynamic construction corresponding to the process management decision method based on dynamic construction in the above embodiment. Figure 3 As shown, the process management decision-making device based on dynamic construction includes a process drawing module 31, a data processing module 32, a visualization module 33, a status analysis module 34 and a process adjustment module 35. The detailed description of each functional module is as follows:

[0076] A process drawing module 31 is used to depict the business process in the form of a flowchart, where the business process includes all branches and exception handling paths;

[0077] The data processing module 32 is used to establish a data warehouse, store the data in the learning case, structurally associate the scenes in the learning case with the data, and perform detection and trend analysis on the data in the learning case to obtain data processing results;

[0078] The visualization module 33 is used to generate business reports and financial reports at key nodes based on the data processing results of the business process and the data warehouse, and to visualize the data of the entire process;

[0079] A situation analysis module 34 is used to analyze students’ learning progress, abilities and interests based on key indicators and real-time data displayed in data visualization, dynamically adjust teaching content and difficulty, and determine target learning paths;

[0080] The process adjustment module 35 is used to dynamically adjust the business process based on the target learning path using a low-code approach.

[0081] Optionally, the data processing module 32 includes:

[0082] An instruction acquisition unit, used to acquire instructions to be processed, wherein the instructions to be processed include at least one of pattern detection, trend prediction, and identification of improvement points;

[0083] The data processing unit is used to automatically detect instructions to be processed by integrating advanced analysis and machine learning engines, and to perform detection and analysis based on the instructions to be processed using corresponding algorithms to obtain data processing results.

[0084] Optionally, the visualization module 33 includes:

[0085] A real-time data acquisition unit, used for acquiring real-time data;

[0086] A data instrument construction unit is used to construct a data instrument based on preset key indicators and real-time data;

[0087] The display unit is used to generate corresponding business reports and financial reports at key nodes of the business process and display them on the data instrument.

[0088] For the specific limitations of the process management decision device based on dynamic construction, please refer to the limitations of the process management decision method based on dynamic construction above, which will not be repeated here. Each module in the above-mentioned process management decision device based on dynamic construction can be implemented in whole or in part through software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0089] To solve the above technical problems, the present application also provides a computer device. Figure 4 , Figure 4 This is a basic structural block diagram of the computer device in this embodiment.

[0090] The computer device 4 includes a memory 41, a processor 42, and a network interface 43 that are interconnected through a system bus. It should be noted that the figure only shows a computer device 4 with components connected to the memory 41, the processor 42, and the network interface 43, but it should be understood that it is not required to implement all the components shown, and more or fewer components can be implemented instead. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable gate arrays (Field-Programmable Gate Array, FPGA), digital processors (Digital Signal Processor, DSP), embedded devices, etc.

[0091] The computer device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The computer device may interact with a user through a keyboard, a mouse, a remote controller, a touch pad, or a voice control device.

[0092] The memory 41 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or D interface display memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 41 can be an internal storage unit of the computer device 4, such as a hard disk or memory of the computer device 4. In other embodiments, the memory 41 can also be an external storage device of the computer device 4, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device 4. Of course, the memory 41 can also include both the internal storage unit of the computer device 4 and its external storage device. In this embodiment, the memory 41 is generally used to store the operating system and various application software installed on the computer device 4, such as the program code of the process management decision method based on dynamic construction, etc. In addition, the memory 41 can also be used to temporarily store various types of data that have been output or are to be output.

[0093] The processor 42 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chips in some embodiments. The processor 42 is generally used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is used to run the program code stored in the memory 41 or process data, such as running the program code of the process management decision method based on dynamic construction.

[0094] The network interface 43 may include a wireless network interface or a wired network interface. The network interface 43 is generally used to establish a communication connection between the computer device 4 and other electronic devices.

[0095] The present application also provides another implementation, namely, providing a computer-readable storage medium, wherein the computer-readable storage medium stores an interface display program, and the interface display program can be executed by at least one processor so that the at least one processor performs the steps of the process management decision method based on dynamic construction as described above.

[0096] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0097] Obviously, the embodiments described above are only some embodiments of the present application, rather than all embodiments. The preferred embodiments of the present application are given in the accompanying drawings, but they do not limit the patent scope of the present application. The present application can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present application more thorough and comprehensive. Although the present application is described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific implementation methods, or to replace some of the technical features therein with equivalents. Any equivalent structure made using the contents of the specification and drawings of this application, directly or indirectly used in other related technical fields, is similarly within the scope of patent protection of this application.

Claims

1. A process management decision method based on dynamic construction, characterized in that: include: The business process is depicted in the form of a flowchart, wherein the business process includes all branches and exception handling paths; Establish a data warehouse to store the data in the learning cases, structurally associate the scenarios in the learning cases with the data, and perform detection and trend analysis on the data in the learning cases to obtain data processing results; Generate business reports and financial reports at key nodes based on the business process and the data processing results of the data warehouse, and perform data visualization of the entire process; Analyze students' learning progress, abilities and interests based on key indicators and real-time data displayed in data visualization, dynamically adjust teaching content and difficulty, and determine target learning paths; Based on the target learning path, the business process is dynamically adjusted using a low-code approach.

2. The process management decision method based on dynamic construction as claimed in claim 1, characterized in that: The business process and entities in the learning case are stored as metadata, and the business process is dynamically adjusted in a metadata-driven manner.

3. The process management decision method based on dynamic construction as claimed in claim 1, characterized in that: The data in the learning case is tested and trend analyzed to obtain data processing results including: Obtaining instructions to be processed, wherein the instructions to be processed include at least one of pattern detection, trend prediction, and identification of improvement points; By integrating advanced analysis and machine learning engines, the instructions to be processed are automatically detected, and corresponding algorithms are used to perform detection and analysis based on the instructions to be processed to obtain data processing results.

4. The process management decision method based on dynamic construction according to claim 1, characterized in that: The step of establishing a data warehouse to store data in the learning cases and structurally associating the scenarios in the learning cases with the data includes: Build a data warehouse and collect learning cases from different data sources. After cleaning and transforming the data in the learning cases, make structured associations with the scenarios.

5. The process management decision method based on dynamic construction as claimed in claim 1, characterized in that: The business reports and financial reports generated at key nodes and the data visualization of the entire process include: Get real-time data; Building a data dashboard based on preset key indicators and the real-time data; At key nodes of the business process, corresponding business reports and financial reports are generated and displayed on the data instrument.

6. A process management decision-making device based on dynamic construction, characterized in that: include: A process drawing module is used to depict the business process in the form of a flowchart, wherein the business process includes all branches and exception handling paths; The data processing module is used to establish a data warehouse, store the data in the learning case, structurally associate the scenes in the learning case with the data, and perform detection and trend analysis on the data in the learning case to obtain data processing results; A visualization module is used to generate business reports and financial reports at key nodes based on the business process and the data processing results of the data warehouse, and to visualize the data of the entire process; The situation analysis module is used to analyze students’ learning progress, abilities and interests based on key indicators and real-time data displayed in data visualization, dynamically adjust teaching content and difficulty, and determine the target learning path; A process adjustment module is used to dynamically adjust the business process based on the target learning path using a low-code approach.

7. The process management decision-making device based on dynamic construction according to claim 6, characterized in that: The data processing module comprises: An instruction acquisition unit, used to acquire instructions to be processed, wherein the instructions to be processed include at least one of pattern detection, trend prediction, and identification of improvement points; The data processing unit is used to automatically detect instructions to be processed by integrating advanced analysis and machine learning engines, and to perform detection and analysis based on the instructions to be processed using corresponding algorithms to obtain data processing results.

8. The process management decision-making device based on dynamic construction as claimed in claim 6, characterized in that: The visualization module comprises: A real-time data acquisition unit, used for acquiring real-time data; A data meter construction unit, used to construct a data meter according to preset key indicators and the real-time data; The display unit is used to generate corresponding business reports and financial reports at key nodes of the business process and display them on the data instrument.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the process management decision method based on dynamic construction as described in any one of claims 1 to 5 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the process management decision method based on dynamic construction as described in any one of claims 1 to 5 is implemented.

Images