Full-process operation analysis method and system based on unit tasks

Abstract

The invention relates to the technical field of digital operation, and discloses a whole-process operation analysis method and system based on a unit task, and the method comprises the steps: displaying the enterprise capability through the interaction of a hierarchical structure, and precisely positioning the digital level of each business link from the macroscopic capability class to the microscopic specific capability unit, the refined analysis is helpful for the enterprise to more accurately evaluate the own capability and formulate a targeted improvement strategy; through multi-level setting and association, full-process management from digital operation capability target, unit task disassembly and digital task implementation of each unit task can be realized, a visualization mode of a cellular graph is adopted, and a real-time dynamic updating mechanism is combined, so that hysteresis is overcome; a dynamic presentation mode enables a complex enterprise capability structure to be easy to understand and analyze, and timely decisions can be made based on latest data.

Description

Technical Field

[0001] The present invention relates to the field of digital operation technology, and in particular to a full-process operation analysis method and system based on unit tasks. Background Art

[0002] In the wave of digital transformation, the analysis and realization of the enterprise's full-process digital operation capabilities are crucial. It is directly related to the enterprise's operational efficiency, decision-making quality and market competitiveness. However, existing enterprise management solutions still have significant deficiencies in realizing full-process, visual and intelligent analysis and management of operational capabilities, which seriously restricts the efficiency improvement and decision-making optimization of enterprises.

[0003] Existing systems generally lack a full-process perspective and real-time performance. Most systems only focus on a specific link in the operation of an enterprise and cannot provide overall control of the entire process of the enterprise. Data updates often lag behind, making it difficult to support timely decision-making. In addition, the system's analytical capabilities are limited, focusing more on the collection and display of data, lacking in-depth analytical functions, and unable to automatically identify potential problems or provide valuable decision-making suggestions; in terms of the visualization of operational capabilities, existing technologies lack innovation and systematicity. Traditional organizational charts or flow charts cannot effectively display the multi-dimensional characteristics of an enterprise's operational capabilities, nor can they reflect the complex relationships between various business links. This makes it difficult for managers to intuitively understand and evaluate the overall operational capabilities of the enterprise, and to quickly identify key areas that need improvement. At the same time, the lack of dynamic adjustment and interactive analysis functions limits the application value of the system in the actual decision-making process.

[0004] Therefore, there is an urgent need for a method and system that can update analysis in real time and achieve visual management of the entire process. Summary of the invention

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the present invention provides a full-process operation analysis method and system based on unit tasks to solve the problem that the existing system cannot provide overall control of the entire process of the enterprise. Data updates often lag, making it difficult to support timely decision-making and unable to effectively demonstrate the multi-dimensional characteristics of the enterprise's operational capabilities.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: In a first aspect, the present invention provides a full-process operation analysis method based on unit tasks, comprising: Accessing data sources to obtain enterprise capability information and constructing a first layer of an enterprise capability analysis model, wherein the first layer includes at least one capability domain and is used to obtain a panoramic view of the overall digital capability of the enterprise; Based on the capability domain of the first layer, a second layer of the enterprise capability analysis model is constructed, wherein the second layer includes a plurality of unit task layers, wherein the unit task layers correspond to specific capabilities included in the capability domain, and unit task decomposition is performed on the specific capabilities through data processing; Based on the unit task layer of the second layer, a third layer of the enterprise capability analysis model is constructed, wherein the third layer includes a plurality of digital task implementation layers, one digital task implementation layer corresponds to one unit task, and is used to divide each unit task into different digital task fields; Based on the three-layer framework data information of the analysis model, a visualization graph of enterprise capabilities is generated, and the visualization graph is updated through the data update mechanism.

[0008] As a preferred solution of the unit task-based full-process operation analysis method of the present invention, wherein: the one capability domain includes several specific capabilities; The unit tasks come from a business domain, and a business domain includes multiple unit tasks; The unit task decomposition of specific capabilities includes: All unit tasks are mapped to the unit task layers corresponding to their specific capabilities based on the specific capabilities they require.

[0009] As a preferred solution of the full-process operation analysis method based on unit tasks described in the present invention, it also includes: identifying the dependency relationship between the unit tasks in the unit task layer after decomposing the unit tasks, including: Obtain the purpose and output of the unit task, determine the order of execution of the unit tasks through the enterprise's business logic, and obtain the task dependency chain.

[0010] As a preferred solution of the full-process operation analysis method based on unit tasks described in the present invention, it also includes: identifying the priorities between the unit tasks in the unit task layer through data analysis after decomposing the unit tasks, including: Based on the size of the unit task, the complexity of the required technology, and the resources involved in the unit task, a score is given to obtain the complexity of the unit task; Score the importance of unit tasks to corporate operations or strategic goals to obtain the business value of unit tasks; Based on the time limit requirements of the unit tasks, obtain the time priority of the unit tasks; The final priority data is obtained by assigning different weighting coefficients to the unit task complexity, business value and time priority.

[0011] As a preferred solution of the full-process operation analysis method based on unit tasks described in the present invention, each digital task implementation layer includes four implementation areas: data domain tasks, AI decision domain tasks, feedback workflow domain tasks and software engineering tasks; Divide the unit tasks of each unit task layer into corresponding implementation areas in the corresponding digital task implementation layer based on their execution attributes; Unit tasks are executed based on dependency and final priority data to obtain capability maturity data.

[0012] As a preferred solution of the full-process operation analysis method based on unit tasks described in the present invention, wherein: based on the three-layer framework data information of the analysis model, a visualization graph of enterprise capabilities is generated, including: Based on the capability domains divided at the first layer, an overall capability honeycomb diagram is generated, including at least one honeycomb module, the honeycomb module corresponds to a corresponding capability domain, the honeycomb module includes at least one honeycomb block, and the honeycomb block corresponds to a corresponding specific capability; Based on the unit task layer divided by the second layer and its internal unit tasks, generate honeycomb units in the honeycomb block, wherein the honeycomb units correspond to corresponding unit tasks; Based on the capability maturity data of the third layer, the color attributes of the honeycomb blocks and honeycomb units are changed.

[0013] As a preferred solution of the full-process operation analysis method based on unit tasks described in the present invention, the data update mechanism includes: In response to the data synchronization command, a synchronization program is started at a preset time interval; Connect to each predefined data source and obtain the last updated timestamp of each data source; Compare the last update timestamp of the data source with the last synchronization time. If the last update time of the data source is later than the last synchronization time, it is determined that there is an update and an update command is generated. In response to the update command, incremental data is obtained, where the incremental data is new data or changed data after the last synchronization time; Write incremental data to the main database and generate cellular graph update commands; In response to the cellular map update command, a cellular map update is triggered.

[0014] In a second aspect, the present invention provides a full-process operation analysis system based on unit tasks, comprising: A first construction module is used to obtain enterprise capability information by accessing a data source and construct a first layer of an enterprise capability analysis model, wherein the first layer includes at least one capability domain and is used to obtain a panoramic view of the overall digital capability of the enterprise; A second construction module is used to construct a second layer of the enterprise capability analysis model based on the capability domain of the first layer, wherein the second layer includes a plurality of unit task layers, the unit task layers correspond to specific capabilities included in the capability domain, and the specific capabilities are decomposed into unit tasks through data processing; A third construction module is used to construct a third layer of the enterprise capability analysis model based on the unit task layer of the second layer, wherein the third layer includes a plurality of digital task implementation layers, one digital task implementation layer corresponds to one unit task, and is used to divide each unit task into different digital task fields; The visualization module is used to generate enterprise capability visualization graphics based on the three-layer framework data information of the analysis model, and update the visualization graphics through the data update mechanism.

[0015] In a third aspect, the present invention provides a computing device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the full-process operation analysis method based on unit tasks are implemented.

[0016] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the unit task-based full-process operation analysis method.

[0017] Compared with the prior art, the present invention has the following beneficial effects: the present invention can interactively display enterprise capabilities through a hierarchical structure, from macro-capability categories to micro-specific capability units, and can accurately locate the digital level of each business link. Refined analysis helps enterprises to more accurately evaluate their own capabilities and formulate targeted improvement strategies; multi-level settings and associations can manage the entire process from digital operation capability goals to unit task decomposition and then to the implementation of digital tasks for each unit task, ensuring the smooth execution of each digital task, providing clear paths and steps, so that enterprises can achieve their digital operation goals in an orderly manner; the use of honeycomb diagram visualization breaks through the limitations of traditional organizational charts and flow charts, combined with a real-time dynamic update mechanism to overcome lags, and the dynamic presentation method makes complex enterprise capability structures easy to understand and analyze, and can make timely decisions based on the latest data, effectively supporting managers to quickly identify key issues and areas of opportunity. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] 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 will be briefly introduced below. Obviously, the accompanying drawings described below 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 work.

[0019] Figure 1 This is a schematic diagram of the overall process logic of the full-process operation analysis method based on unit tasks described in the first embodiment of the present invention; Figure 2 A schematic diagram of a first-layer application cell constructed in the full-process operation analysis method based on unit tasks described in the first embodiment of the present invention; Figure 3 A schematic diagram of a second-layer application cell constructed in the full-process operation analysis method based on unit tasks described in the first embodiment of the present invention; Figure 4 This is a schematic diagram of the application cell constructed at the third layer in the full-process operation analysis method based on unit tasks described in the first embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0021] Example 1, reference Figure 1-Figure 4 , is an embodiment of the present invention, and provides a full-process operation analysis method based on unit tasks, including: S100: Acquire enterprise capability information by accessing a data source, and construct a first layer of an enterprise capability analysis model, wherein the first layer includes at least one capability domain, and is used to obtain a panoramic view of the overall digital capability of the enterprise; It should be noted that the first layer, namely the panoramic layer of digital operation capabilities, can reflect the overall capability structure of the enterprise, define the core capability domain of the enterprise, and provide a panoramic view of the overall digital capabilities of the enterprise.

[0022] In the embodiment of the present application, a capability domain includes several specific capabilities; Unit tasks come from business domains, and a business domain includes multiple unit tasks; Decompose specific capabilities into unit tasks, including: All unit tasks are mapped to the unit task layers corresponding to their specific capabilities based on the specific capabilities they require.

[0023] S200: Based on the capability domain of the first layer, the second layer of the enterprise capability analysis model is constructed. The second layer includes multiple unit task layers. The unit task layers correspond to the specific capabilities included in the capability domain, and the specific capabilities are decomposed into unit tasks through data processing; It should be noted that the second layer is the unit task decomposition layer, which breaks down the core capabilities into specific unit tasks and shows the components of each capability.

[0024] In the embodiment of the present application, the process further includes identifying the dependency relationship between the unit tasks in the unit task layer after the unit task decomposition, including: Obtain the purpose and output of the unit task, determine the order of execution of the unit tasks through the enterprise's business logic, and obtain the task dependency chain.

[0025] In the embodiment of the present application, the priority between the unit tasks in the unit task layer is also identified through data analysis after the unit task decomposition, including: Based on the size of the unit task, the complexity of the required technology, and the resources involved in the unit task, a score is given to obtain the complexity of the unit task; Score the importance of unit tasks to corporate operations or strategic goals to obtain the business value of unit tasks; Based on the time limit requirements of the unit tasks, obtain the time priority of the unit tasks; The final priority data is obtained by assigning different weighting coefficients to the unit task complexity, business value and time priority.

[0026] It should be noted that more complex and critical tasks are generally given higher priorities, and the more stringent the time requirements of a task are, the higher its priority.

[0027] Specifically, by collecting data on the above factors, the priority score is calculated using the following formula: Priority score = α × task complexity + β × number of dependent tasks + γ × business value + δ × deadline Among them, the values ​​of the weighting coefficients (α, β, γ, δ) need to be optimized in combination with the business needs of the enterprise, reflecting the different emphasis of different enterprises on task complexity, business value, time sensitivity, etc.

[0028] It should also be noted that the main function of the above-mentioned dependency chain and priority scoring is to provide a sequential basis for the subsequent execution of unit tasks. Secondly, it has a certain risk assessment function and can play a guiding role in capacity building planning.

[0029] S300: Based on the unit task layer of the second layer, the third layer of the enterprise capability analysis model is constructed. The third layer includes multiple digital task implementation layers. One digital task implementation layer corresponds to one unit task and is used to divide each unit task into different digital task fields. It should be noted that the third layer is the digital task realization layer, which defines the implementation methods and tools for specific tasks and provides a basis for evaluating unit tasks and capability maturity data.

[0030] In the embodiment of the present application, each digital task implementation layer includes four implementation areas: data domain tasks, AI decision domain tasks, feedback workflow domain tasks, and software engineering tasks; Divide the unit tasks of each unit task layer into corresponding implementation areas in the corresponding digital task implementation layer based on their execution attributes; Unit tasks are executed based on dependency and final priority data to obtain capability maturity data.

[0031] Specifically, among them: Data domain tasks mainly involve data collection, storage, conversion, and cleaning; for example, designing database tables, processing data interfaces, etc.

[0032] AI decision-making domain tasks mainly involve intelligent analysis and decision-making tasks, such as data mining, machine learning model training, etc.; for example, designing an accounts receivable prediction model.

[0033] The tasks in the feedback workflow domain mainly involve process management and automation tasks, such as approval processes, notification generation, etc.; for example, designing the generation logic of collection notifications.

[0034] Software engineering tasks mainly involve system implementation tasks, including front-end, back-end and API development; for example, developing an accounts receivable entry interface and designing system interactions.

[0035] It should be noted that the digital task decomposition of each unit task in the second layer through the above four main areas can be understood as further breaking down the complex unit tasks into specific operational steps that can be implemented. These specific operational steps are usually expressed in the form of "digital tasks" (DT). The content obtained after decomposition is a detailed list of digital tasks, which are performed in different fields (such as data processing, AI decision-making, feedback workflow, software engineering) to complete specific operations or realize corresponding functions.

[0036] S400: Generate enterprise capability visualization graphics based on the three-layer framework data information of the analysis model, and update the visualization graphics through the data update mechanism.

[0037] In the embodiment of the present application, based on the three-layer framework data information of the analysis model, a visualization graph of enterprise capabilities is generated, including: Based on the capability domains divided at the first layer, an overall capability honeycomb diagram is generated, including at least one honeycomb module, the honeycomb module corresponds to the corresponding capability domain, the honeycomb module includes at least one honeycomb block, and the honeycomb block corresponds to the corresponding specific capability; Based on the unit task layer divided in the second layer and its internal unit tasks, the honeycomb units in the honeycomb block are generated, and the honeycomb units correspond to corresponding unit tasks; Based on the capability maturity data of the third layer, the color attributes of the honeycomb blocks and honeycomb cells are changed.

[0038] Specifically, the color attribute may be the adjustment of attributes such as color saturation and brightness.

[0039] It should be noted that, at the visualization level, the honeycomb diagram (hexagon) is preferred for display because the hexagon has the highest tiling efficiency on the plane and can maximize the use of space. Compared with squares or triangles, hexagons can better avoid the visual "dominant line" effect, and the hexagonal structure is easy to expand in any direction, which is suitable for representing a dynamically growing capability system. It can naturally form levels or clusters, which is suitable for representing the classification and hierarchy of capabilities.

[0040] At the same time, the hexagonal structure of the honeycomb diagram allows the overall picture and details of the enterprise operation to be presented in one picture. Each hexagon represents a business area or capability, and these hexagons can be further subdivided to form a hierarchical structure, which can either only display an overview or only go deep into the problems of a single link in the existing system, providing managers with a comprehensive and in-depth perspective. The ability levels of different dimensions are represented by the combination of honeycomb blocks and the color of each honeycomb, where the color represents the maturity of the ability. The honeycomb structure naturally shows the adjacency relationship between various business areas and can intuitively show the correlation between different capabilities. This multi-dimensional visualization enables managers to quickly identify the advantages and shortcomings of the enterprise, solving the problem that traditional systems are difficult to intuitively display multi-dimensional information. The honeycomb diagram supports dynamic adjustment and interactive analysis. Users can reorganize the honeycomb structure by clicking, dragging, and other operations to observe the overall effect under different business configurations in real time. It can solve the problem that traditional static reports cannot adapt to the rapidly changing business environment. By comparing the honeycomb diagrams of the ideal state and the actual state, managers can intuitively see the capability gap. Missing cells or cells with noticeable color differences directly point out areas that need improvement, which solves the problem that traditional systems have difficulty in visually displaying gaps and priorities.

[0041] In an optional embodiment, a square or a triangle may be selected for expansion.

[0042] In the embodiment of the present application, the data update mechanism includes the following steps A1 to A6: A1: In response to a data synchronization command, a synchronization program is started at a preset time interval; Specifically, the preset time interval may be to automatically start the synchronization process every hour or every day, or the synchronization may be manually triggered by an administrator.

[0043] A2: Connect to each predefined data source and obtain the last updated timestamp of each data source; A3: Compare the last update timestamp of the data source with the last synchronization time. If the last update time of the data source is later than the last synchronization time, it is determined that there is an update and an update command is generated. A4: In response to the update command, incremental data is obtained, where the incremental data is new data or changed data after the last synchronization time; A5: Write the incremental data to the main database and generate a cellular map update command; A6: In response to the cellular map update command, trigger a cellular map update.

[0044] Specifically, after the incremental data is written into the main database, step A5-1 may also be included: A5-1: Record change history: Record detailed information about data changes in a dedicated log table, including change time, changed fields, old values, new values, etc.

[0045] Specifically, triggering the cellular map update mainly includes the following steps A6-1~A6-2: A6-1: Analyze the capability dimensions corresponding to the changed data, recalculate the affected capability indicators, and update the corresponding cells in the honeycomb diagram.

[0046] A6-2: If there is no update, skip the update step and directly enter the waiting state, waiting for the next synchronization. The system enters the sleep state and waits for the next synchronization cycle.

[0047] Exemplarily, based on the above steps S100-S400, the solution is described by taking the improvement of the purchasing capabilities of an electronic component packaging company as an example. The company includes 6 major categories of capabilities, including 37 standard capabilities for the entire cycle of enterprise operations, of which 8 capabilities have been realized, 29 digital operation capabilities that have been planned but not yet fully realized, and 7 capabilities that may be developed in the future.

[0048] In S100: Figure 2 As shown in the figure, the first layer of digital operation capability panoramic layer is defined: Capability areas include: collection analysis, procurement analysis, sales analysis, inventory analysis, production analysis and comprehensive analysis.

[0049] Specific capabilities in the capability domain: For example, collection analysis includes: collection cycle analysis, customer accounts receivable analysis, product collection situation analysis, regional collection situation analysis, and accounts receivable change trends.

[0050] For example, procurement analysis includes: supplier selection, procurement time analysis, procurement batch analysis, accounts payable payment management, and prepaid accounts status analysis.

[0051] In S200: Figure 3 As shown, the second unit task decomposition layer is established: Taking the purchasing batch analysis capability in the previous layer as an example, the following unit task layer is defined: Product information data domain, supplier information data domain, procurement demand data domain, payment and settlement data domain, quality management data domain, and supply chain management data domain.

[0052] Take the product information data domain in the unit task layer as an example to define the unit tasks: Enter product information, edit product information, approve product information changes, query and retrieve product information, maintain and update product information, manage product information life cycle, participate in quality control and supervision, and support supply chain and procurement decisions.

[0053] In S300: Figure 4 As shown, the third digital task realization layer is established; For example, for the unit task of "enter product information" and the dependency chain priority data obtained from the second layer, define the following digital tasks: Determine the database table structure of product information to support data storage and management; implement the business logic of the product information entry module, including data verification and storage; develop RESTful API to support data interaction between the front-end interface and back-end services; perform predictive analysis based on data, optimize production plans, and improve the accuracy of decision-making; synchronize data with the procurement management system and supply chain management system to ensure collaborative work and information sharing throughout the procurement process; determine the layout and interaction design of the user interface, including form verification and data submission; use front-end technology to implement the product information entry interface; write unit tests and integration tests to verify the correctness and stability of the product information entry function to obtain capability maturity data in all aspects.

[0054] In S400: an enterprise capability honeycomb diagram is generated, and the color depth of the honeycomb unit is set and updated according to the capability maturity by connecting with the enterprise's existing system data and collecting the implementation data of the enterprise's existing capability domain.

[0055] Figure 2The entire graphic is composed of multiple honeycomb modules, each of which contains multiple hexagonal honeycomb blocks, which represent the procurement batch analysis capabilities in the data domain of different business departments, realizing data connectivity among departments and solving the problem of data islands.

[0056] Cellular module: divided by areas with large gaps, representing different areas of capability. Each cellular block corresponds to a data domain in the list on the right, and each data domain realizes the interconnection and synchronization of data from various departments.

[0057] The honeycomb block includes: Dark honeycomb blocks: represent realized unit tasks (UTs), a total of 11. These UTs correspond to specific tasks in the physical world and match the company's existing standard operating procedures (SOPs).

[0058] Light honeycomb blocks: represent unit tasks that have been planned but not yet fully implemented. These unit tasks also correspond to tasks and existing SOPs in the physical world.

[0059] Blank cells: represent procurement-related capabilities that may be developed in the future.

[0060] Figure 4 The honeycomb diagram shows the mapping from the physical world to the digital world in the digital transformation of the company's digital operation capabilities in procurement batch analysis, especially in the process of entering product information. It reflects the company's basic strategy, including four key areas: data, decision-making, feedback execution, and software development.

[0061] Figure 4 The cellular units represent different unit tasks, where: Dark honeycomb cells: Represents the tasks that need to be performed in the implemented digitalization process, a total of 6.

[0062] Light-colored honeycomb cells: represent the tasks that need to be performed during the digitalization process in planning, a total of 2.

[0063] Blank cellular cells: Represents tasks in the digitalization process that may develop in the future, a total of 5.

[0064] It should be noted that the enterprise capability honeycomb diagram constructed in this way not only intuitively shows the maturity of electronic component packaging companies in various aspects of procurement capabilities, but also clearly presents the relationship and dependency between each level. This helps enterprise managers quickly identify areas that need improvement and provides a basis for formulating targeted improvement strategies.

[0065] In summary, the hierarchical structure of the enterprise's full-process digital operation capabilities is demonstrated with three-level examples, from the top-level capability categories (such as procurement, production, and sales), to the data domain of the specific capability areas and unit task decomposition layer, and then to the bottom-level unit tasks and digital task implementation layer.

[0066] At the same time, the construction of each layer is synchronized through data source access, data cleaning, data standardization and data update mechanism. Among them: Data source access For example: The system supports access to multiple enterprise data sources, including but not limited to ERP systems, CRM systems, human resources systems, etc. Through API interfaces, direct database connections, manual entry, etc., real-time or regular collection of enterprise operational capability-related data; Data cleaning, for example: after obtaining source data, the system removes duplicate data, corrects format errors, processes outliers, etc. For missing key data, such as capability indicators and department codes, the system will fill in the missing data based on preset rules; Data standardization, for example: converting data from different systems into a unified standard format, including unified measurement units, standardized naming conventions, unified date and time formats, etc. The standardization process ensures that data from different sources can be effectively compared and analyzed in the honeycomb diagram.

[0067] In addition, the data update mechanism establishes a regular synchronization mechanism with each data source. When the data in the source system changes, incremental updates are used to ensure that the enterprise capability data reflected in the honeycomb diagram is always up to date. At the same time, the data change history is recorded to support trend analysis.

[0068] The entire structure above runs through the four basic strategic areas of data, decision-making, feedback execution and software development, comprehensively presents the progress and layout of the enterprise's digital transformation, and provides clear visual guidance for management decisions.

[0069] The above is a schematic scheme of a full-process operation analysis method based on unit tasks in this embodiment. It should be noted that the technical scheme of the system for full-process operation analysis based on unit tasks and the technical scheme of the full-process operation analysis method based on unit tasks mentioned above belong to the same concept. The details of the technical scheme of the full-process operation analysis system based on unit tasks in this embodiment that are not described in detail can be found in the description of the technical scheme of the full-process operation analysis method based on unit tasks mentioned above.

[0070] The full-process operation analysis system based on unit tasks in this embodiment includes: A first construction module is used to obtain enterprise capability information by accessing a data source and construct a first layer of an enterprise capability analysis model. The first layer includes at least one capability domain and is used to obtain a panoramic view of the overall digital capability of the enterprise. The second construction module is used to construct the second layer of the enterprise capability analysis model based on the capability domain of the first layer. The second layer includes multiple unit task layers. The unit task layers correspond to the specific capabilities included in the capability domain, and the specific capabilities are decomposed into unit tasks through data processing; The third construction module is used to construct the third layer of the enterprise capability analysis model based on the unit task layer of the second layer. The third layer includes multiple digital task implementation layers. One digital task implementation layer corresponds to one unit task and is used to divide each unit task into different digital task fields. The visualization module is used to generate enterprise capability visualization graphics based on the three-layer framework data information of the analysis model, and update the visualization graphics through the data update mechanism.

[0071] This embodiment further provides a computing device, which is applicable to the case of full-process operation analysis based on unit tasks, including: Memory and processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the full-process operation analysis method based on unit tasks as proposed in the above embodiment.

[0072] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for implementing the full-process operation analysis based on unit tasks as proposed in the above embodiment is implemented.

[0073] The storage medium proposed in this embodiment and the method for implementing the full-process operation analysis based on unit tasks proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0074] Through the above description of the implementation methods, the technicians in the relevant field can clearly understand that the present invention can be implemented by means of software and necessary general hardware, and of course can also be implemented by hardware. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (FLASH), a hard disk or an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of various embodiments of the present invention.

[0075] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. The whole process operation analysis method based on unit tasks is characterized by: include: Accessing data sources to obtain enterprise capability information and constructing a first layer of an enterprise capability analysis model, wherein the first layer includes at least one capability domain and is used to obtain a panoramic view of the overall digital capability of the enterprise; Based on the capability domain of the first layer, a second layer of the enterprise capability analysis model is constructed, wherein the second layer includes a plurality of unit task layers, wherein the unit task layers correspond to specific capabilities included in the capability domain, and unit task decomposition is performed on the specific capabilities through data processing; Based on the unit task layer of the second layer, a third layer of the enterprise capability analysis model is constructed, wherein the third layer includes a plurality of digital task implementation layers, one digital task implementation layer corresponds to one unit task, and is used to divide each unit task into different digital task fields; Based on the three-layer framework data information of the analysis model, a visualization graph of enterprise capabilities is generated, and the visualization graph is updated through the data update mechanism.

2. The full-process operation analysis method based on unit tasks according to claim 1 is characterized in that: The one capability domain includes a number of specific capabilities; The unit tasks come from a business domain, and a business domain includes multiple unit tasks; The unit task decomposition of specific capabilities includes: All unit tasks are mapped to the unit task layers corresponding to their specific capabilities based on the specific capabilities they require.

3. The full-process operation analysis method based on unit tasks according to claim 2 is characterized in that: It also includes identifying the dependency relationship between the unit tasks in the unit task layer after decomposing the unit tasks, including: Obtain the purpose and output of the unit task, determine the order of execution of the unit tasks through the enterprise's business logic, and obtain the task dependency chain.

4. The unit task-based full-process operation analysis method according to claim 3, characterized in that: It also includes identifying the priorities among the unit tasks in the unit task layer through data analysis after the unit task decomposition, including: Based on the size of the unit task, the complexity of the required technology, and the resources involved in the unit task, a score is given to obtain the complexity of the unit task; Score the importance of unit tasks to corporate operations or strategic goals to obtain the business value of unit tasks; Based on the time limit requirements of the unit tasks, obtain the time priority of the unit tasks; The final priority data is obtained by assigning different weighting coefficients to the unit task complexity, business value and time priority.

5. The full-process operation analysis method based on unit tasks according to claim 4 is characterized in that: Each digital task implementation layer includes four implementation areas: data domain tasks, AI decision domain tasks, feedback workflow domain tasks, and software engineering tasks; Divide the unit tasks of each unit task layer into corresponding implementation areas in the corresponding digital task implementation layer based on their execution attributes; Unit tasks are executed based on dependency and final priority data to obtain capability maturity data.

6. The full-process operation analysis method based on unit tasks according to claim 5 is characterized in that: Based on the three-layer framework data information of the analysis model, a visualization of enterprise capabilities is generated, including: Based on the capability domains divided at the first layer, an overall capability honeycomb diagram is generated, including at least one honeycomb module, the honeycomb module corresponds to a corresponding capability domain, the honeycomb module includes at least one honeycomb block, and the honeycomb block corresponds to a corresponding specific capability; Based on the unit task layer divided by the second layer and its internal unit tasks, generate honeycomb units in the honeycomb block, wherein the honeycomb units correspond to corresponding unit tasks; Based on the capability maturity data of the third layer, the color attributes of the honeycomb blocks and honeycomb units are changed.

7. The full-process operation analysis method based on unit tasks according to claim 6 is characterized in that: The data update mechanism includes: In response to the data synchronization command, a synchronization program is started at a preset time interval; Connect to each predefined data source and obtain the last updated timestamp of each data source; Compare the last update timestamp of the data source with the last synchronization time. If the last update time of the data source is later than the last synchronization time, it is determined that there is an update and an update command is generated. In response to the update command, incremental data is obtained, where the incremental data is new data or changed data after the last synchronization time; Write incremental data to the main database and generate cellular graph update commands; In response to the cellular map update command, a cellular map update is triggered.

8. A system using the full-process operation analysis method based on unit tasks as described in any one of claims 1 to 7, characterized in that: include: A first construction module is used to obtain enterprise capability information by accessing a data source and construct a first layer of an enterprise capability analysis model, wherein the first layer includes at least one capability domain and is used to obtain a panoramic view of the overall digital capability of the enterprise; A second construction module is used to construct a second layer of the enterprise capability analysis model based on the capability domain of the first layer, wherein the second layer includes a plurality of unit task layers, the unit task layers correspond to specific capabilities included in the capability domain, and the specific capabilities are decomposed into unit tasks through data processing; A third construction module is used to construct a third layer of the enterprise capability analysis model based on the unit task layer of the second layer, wherein the third layer includes a plurality of digital task implementation layers, one digital task implementation layer corresponds to one unit task, and is used to divide each unit task into different digital task fields; The visualization module is used to generate enterprise capability visualization graphics based on the three-layer framework data information of the analysis model, and update the visualization graphics through the data update mechanism.

9. An electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the full-process operation analysis method based on unit tasks as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the full-process operation analysis method based on unit tasks as described in any one of claims 1 to 7.

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