Business workload evaluation method and device, equipment, medium and program product

Abstract

The invention relates to a business workload evaluation method and device, equipment, a medium and a program product. The business workload evaluation method comprises the following steps: acquiring post level data of a current business object and each business feature item completed in a preset time period; determining a reference workload and corresponding complexity data of each business feature item; and determining the business workload of the current business object according to the post level data of the current business object, the reference workload of each business feature item and the corresponding complexity data. Through the method, the occupation of human resources is reduced, and the evaluation efficiency and the evaluation accuracy of the business workload are improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method, device, equipment, medium and program product for evaluating business workload. Background Art

[0002] As business scale continues to expand and business complexity increases, accurate assessment of business workload becomes increasingly important. Reasonable business workload assessment helps companies understand the work intensity, efficiency and quality of their employees.

[0003] In traditional methods, the workload of related business projects is usually roughly determined based on historical data. However, each project is quite different, and the content handled by different business objects is often different, resulting in inaccurate workload assessment. In addition, the assessment of business workload often requires a lot of human resources and has low assessment efficiency. Summary of the invention

[0004] Based on this, it is necessary to provide a business workload assessment method, device, equipment, medium and program product that can improve the efficiency and accuracy of business workload assessment in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for evaluating business workload, comprising:

[0006] Obtain the job grade data of the current business object and each business feature item completed within a preset time period;

[0007] Determine the baseline workload and corresponding complexity data for each business feature item;

[0008] The business workload of the current business object is determined based on the job grade data of the current business object, the baseline workload of each business feature item and the corresponding complexity data.

[0009] In one of the embodiments, the business workload of the current business object is determined based on the job grade data of the current business object, the baseline workload of each business feature item and the corresponding complexity data, including: for each business feature item, the single workload of the corresponding business feature item is determined based on the job grade data of the current business object, and the baseline workload and the corresponding complexity data of the business feature item; the business workload of the current business object is determined based on the single workloads of all business feature items corresponding to the current business object.

[0010] In one embodiment, determining the complexity data of each business feature item includes: for each business feature item, obtaining the business category and corresponding business complexity level to which the business feature item belongs; and obtaining the complexity data of the business feature item under the business complexity level from a feature item standard library under the business category.

[0011] In one of the embodiments, the business workload evaluation method also includes: counting the actual working hours of all business objects corresponding to the target business characteristic items; determining the theoretical working hours of all business objects corresponding to the target business characteristic items based on the single workload of the target business characteristic items; when the deviation value between the actual working time and the theoretical working time is greater than a preset threshold, updating the complexity data of the target business characteristic items in the characteristic item standard library.

[0012] In one of the embodiments, the complexity data of the target business feature items in the feature item standard library is updated, including: obtaining the historical working hours of the target business feature items corresponding to the target business complexity level for different business objects; determining the latest complexity data of the target business feature items at the target business complexity level based on the historical working hours and the benchmark workload of the target business feature items; and replacing the corresponding complexity data in the feature item standard library with the latest complexity data.

[0013] In one of the embodiments, the latest complexity data of the target business complexity level of the target business characteristic item is determined based on the historical working hours and the benchmark workload of the target business characteristic item, including: determining the average historical working hours of the target business characteristic item at the target business complexity level based on the historical working hours; determining the latest complexity data of the target business characteristic item at the target business complexity level based on the average historical working hours and the benchmark workload of the target business characteristic item.

[0014] In a second aspect, the present application also provides a business workload evaluation device, comprising:

[0015] The acquisition module is used to obtain the job grade data of the current business object and each business feature item completed within a preset time period;

[0016] A first determination module is used to determine the baseline workload and corresponding complexity data of each service feature item;

[0017] The second determination module is used to determine the business workload of the current business object according to the job grade data of the current business object, the benchmark workload of each business feature item and the corresponding complexity data.

[0018] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0019] Obtain the job grade data of the current business object and each business feature item completed within a preset time period;

[0020] Determine the baseline workload and corresponding complexity data for each business feature item;

[0021] The business workload of the current business object is determined based on the job grade data of the current business object, the baseline workload of each business feature item and the corresponding complexity data.

[0022] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0023] Obtain the job grade data of the current business object and each business feature item completed within a preset time period;

[0024] Determine the baseline workload and corresponding complexity data for each business feature item;

[0025] The business workload of the current business object is determined based on the job grade data of the current business object, the baseline workload of each business feature item and the corresponding complexity data.

[0026] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0027] Obtain the job grade data of the current business object and each business feature item completed within a preset time period;

[0028] Determine the baseline workload and corresponding complexity data for each business feature item;

[0029] The business workload of the current business object is determined based on the job grade data of the current business object, the baseline workload of each business feature item and the corresponding complexity data.

[0030] The above-mentioned business workload assessment method, device, equipment, medium and program product, by introducing business feature items, splits the business project into a number of business features that are easy to quantify, so as to more accurately determine the business workload of the business object. At the same time, by introducing the job grade data of the business object, the benchmark workload of the business feature items and the corresponding complexity data, a quota standard is provided for the assessment of the business workload, and the business workload of the business object can be assessed from multiple dimensions, thereby improving the accuracy of the business workload assessment. At the same time, in the above-mentioned method, only the job grade data of the business object, the benchmark workload of the business feature items and the corresponding complexity data can be obtained to determine the business workload, which is conducive to reducing the occupation of human resources and improving the efficiency of the business workload assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1 A flowchart of a method for evaluating business workload in one embodiment;

[0033] Figure 2 1 is a flow chart of the updating steps of the feature item standard library in one embodiment;

[0034] Figure 3 A flowchart of a method for evaluating business workload in another embodiment;

[0035] Figure 4 is a structural block diagram of a device for evaluating business workload in one embodiment;

[0036] Figure 5 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0038] In one embodiment, Figure 1 As shown, a method for evaluating business workload is provided. This embodiment uses the method applied to a terminal as an example for illustration. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0039] S110, obtaining the job grade data of the current business object and each business feature item completed within a preset time period.

[0040] Among them, the job grade data can be understood as a reference coefficient determined based on work content and responsibilities. For ease of understanding, take some of the job grade data corresponding to different business positions shown in Table-1 as an example. As can be seen from Table-1, different business positions correspond to a job grade data, and the higher the business position grade, the smaller the value of the job grade data. It is not difficult to understand that the higher the business position grade, the higher the proficiency of the business object in the business position, and the less time is required to complete the same business feature items. In other embodiments, the job grade data can also be set to increase with the improvement of the business position grade, and the specific value of the job grade data can also be reasonably set according to actual needs. It should be noted that this application does not make any restrictions on the specific value of the job grade data, and does not make any restrictions on the relationship between the job grade data and the business position.

[0041] Table-1 Some job grade data corresponding to different business positions

[0042]

[0043] Among them, the preset time period can be set according to actual needs. Exemplarily, the preset time period can be set to one week or one month. The business object can be understood as a technician who performs the business feature item task. The business feature item can be understood as a decomposed task in a business project. Exemplarily, the business project is specifically application development or maintenance. A business feature item refers to a development function item or maintenance item in application development, which can specifically be a save function, a delete function or a query function, etc. This application does not impose any restrictions on the specific types of business feature items.

[0044] Optionally, before assigning work tasks to each business object, all businesses can be divided into several business feature items, and in the process of division, the granularity of the division can be controlled within 1 person / day, that is, the actual working time required for a business object to complete a business feature item alone is controlled within one day to ensure the accuracy of the business workload within the preset time period. In addition, the independence and integrity of task requirements should also be guaranteed, following the story INVEST principle of agile development. INVTST refers to Independent, Negotiable, Valuable, Estimable, Small, and Testable.

[0045] S120: Determine the baseline workload and corresponding complexity data of each business feature item.

[0046] The benchmark workload refers to the standard workload or expected workload required to complete the service feature item. The benchmark workloads of different service feature items can be the same or different. Complexity data is used to characterize the complexity of service feature items.

[0047] For the sake of convenience, taking the complexity data of some business feature items shown in Table 2 as an example, the business feature items can be divided into three complexity levels, and each complexity level corresponds to a complexity data. It should be noted that this application does not impose any restrictions on the specific values ​​of the complexity data, nor does it impose any restrictions on the specific division method of the complexity data.

[0048] Table-2 Complexity data of some business feature items

[0049]

[0050] Among them, the benchmark workload and corresponding complexity data of the business characteristic items can be determined by expert estimation method, or based on the historical working hours of all business objects corresponding to the business characteristic items, or can be determined based on a combination of expert estimation method and historical working hours.

[0051] In an optional embodiment, determining the complexity data of each business feature item includes: for each business feature item, obtaining the business category and corresponding business complexity level to which the business feature item belongs; and obtaining the complexity data of the business feature item under the business complexity level from a feature item standard library under the business category.

[0052] Optionally, the business complexity level corresponding to the business characteristic item may be determined based on the difficulty assessment of the business characteristic item by the business management party.

[0053] Optionally, the application development business can be divided into different business feature items, business feature items of the same business category can be grouped together, and a business feature item database can be constructed based on the group. The business feature item database can include business feature item names and corresponding complexity data.

[0054] Optionally, the business category may include at least one of a business application category, a data application category, and a mobile application category, etc. The business application category may include at least one of a PC (Personal Computer) terminal management category and a maintenance category, etc.; the data application category may include a PC terminal / large screen data category, etc.; the mobile application category may include at least one of a mobile terminal management category and a mobile terminal data category, etc.

[0055] S130. Determine the business workload of the current business object according to the job grade data of the current business object, the benchmark workload of each business feature item and the corresponding complexity data.

[0056] In an optional implementation, the business workload of the current business object is determined based on the job grade data of the current business object, the baseline workload of each business feature item and the corresponding complexity data, including: for each business feature item, the individual workload of the corresponding business feature item is determined based on the job grade data of the current business object, and the baseline workload and the corresponding complexity data of the business feature item; the business workload of the current business object is determined based on the individual workloads of all business feature items corresponding to the current business object.

[0057] For example, the job grade data, the benchmark workload and the complexity data may be multiplied together to obtain the single workload of the corresponding business characteristic item.

[0058] Exemplarily, the single workloads of all business feature items corresponding to the current business object may be added together to obtain the business workload of the current business object.

[0059] In an optional embodiment, the working hours used by different business objects to complete corresponding business feature items can be collected regularly to determine whether the working hours fluctuation range of each business feature item is reasonable. If it is determined to be unreasonable, the feature item standard library is updated. In addition, the working hours used by different business objects to complete corresponding business feature items can also be regularly sorted and analyzed, and the benchmark workload of each business feature item can be updated according to actual needs.

[0060] For ease of understanding, take the business feature items completed by the current business object within a week, including the save function and the delete function, as an example, and the job level data of the current business object is 1, the baseline workload of the save function and the delete function is 10h, and the business complexity level of the save function and the delete function is medium complexity. Therefore, based on Table 2, it can be determined that the complexity data of the save function and the delete function is 1.5. The single workload of the save function is: 1*10*1.5=15h, the single workload of the delete function is: 1*10*1.5=15h, and the business workload of the business object is: 15h+15h=30h.

[0061] By introducing business characteristic items, the business project is split into many business characteristic items that are easy to quantify, so as to more accurately determine the business workload of the business object. At the same time, by introducing the job grade data of the business object, the benchmark workload and corresponding complexity data of the business characteristic items, a quota standard is provided for the evaluation of the business workload, and the business workload of the business object can be evaluated from multiple dimensions, thereby improving the accuracy of the business workload evaluation. At the same time, in the above method, only the job grade data of the business object, the benchmark workload and corresponding complexity data of the business characteristic items need to be obtained to determine the business workload, which is conducive to reducing the occupation of human resources and improving the efficiency of the business workload evaluation.

[0062] Based on the technical solutions of the above embodiments, the present application also provides an optional embodiment, in which an updating step of the feature item standard library is added.

[0063] See also Figure 2 The steps for updating the standard library of feature items shown include:

[0064] S210: Count the actual working hours of all business objects corresponding to the target business feature items.

[0065] The actual working time refers to the sum of the working time of each business object corresponding to the target business characteristic item. The working time corresponding to the target business characteristic item can be determined by monitoring the start time and completion time of starting the target business characteristic item.

[0066] S220: Determine theoretical working hours of all business objects corresponding to the target business characteristic items according to the single workload of the target business characteristic items.

[0067] The theoretical working hours refer to the sum of the individual workloads of each business object corresponding to the target business characteristic items.

[0068] S230. When the deviation between the actual working time and the theoretical working time is greater than a preset threshold, update the complexity data of the target business feature item in the feature item standard library.

[0069] Among them, the initial complexity data of the target business feature items in the feature item standard library can be determined by the expert estimation method. The deviation value can be understood as the deviation time of the actual working time from the theoretical working time, which can be obtained by calculating the absolute value of the difference between the actual working time and the theoretical working time. The preset threshold can be set by the technician according to needs or experience, or determined through a large number of experiments, and this application does not make any limitation on this.

[0070] In an optional embodiment, the complexity data of the target business feature item in the feature item standard library can be updated by the following steps: obtaining the historical working hours of the target business feature item corresponding to the target business complexity level for different business objects; determining the latest complexity data of the target business feature item at the target business complexity level based on the historical working hours and the benchmark workload of the target business feature item; replacing the corresponding complexity data in the feature item standard library with the latest complexity data. Through the above steps, iterative optimization of the feature item standard library is achieved, so that the final determined business workload is more accurate.

[0071] Optionally, the historical working hours average of the target business characteristic item at the target business complexity level can be determined based on the historical working hours; the latest complexity data of the target business characteristic item at the target business complexity level can be determined based on the historical working hours average and the benchmark workload of the target business characteristic item. Optionally, the historical working hours average is divided by the corresponding benchmark workload to obtain the latest complexity data.

[0072] In an embodiment of the present application, by determining the deviation value between the actual working hours and the theoretical working hours, and when the deviation value is greater than a preset threshold, updating the complexity data of the target business feature items in the feature item standard library, the feature item standard library can be continuously iterated and optimized to improve the accuracy of business workload assessment.

[0073] Based on the technical solutions of the above embodiments, the present application also provides an optional embodiment, in which a method for evaluating business workload is described in detail.

[0074] See also Figure 3 The business workload assessment methods shown include:

[0075] S310, obtaining the job grade data of the current business object and each business feature item completed within a preset time period.

[0076] S320: Determine the baseline workload of each service feature item.

[0077] S330: For each service feature item, obtain the service category and corresponding service complexity level to which the service feature item belongs.

[0078] S340. Obtain complexity data of business feature items at business complexity levels from a feature item standard library under a business category.

[0079] Among them, S330-S340 can be determined before S320, or after S320, or both can be determined together or crosswise, and the present application does not impose any limitation on the order of execution of the two processes.

[0080] S350. For each business characteristic item, determine the single workload of the corresponding business characteristic item according to the job grade data of the current business object, as well as the benchmark workload and corresponding complexity data of the business characteristic item.

[0081] S360: Determine the business workload of the current business object according to the individual workloads of all business feature items corresponding to the current business object.

[0082] S370: Count the actual working hours of all business objects corresponding to the target business feature items.

[0083] S380: Determine theoretical working hours of all business objects corresponding to the target business characteristic items according to the single workload of the target business characteristic items.

[0084] S390. When the deviation between the actual working hours and the theoretical working hours is greater than a preset threshold, the complexity data of the target business feature items in the feature item standard library is updated.

[0085] The detailed technical contents of the above steps 310 - S390 have been recorded in the above examples and will not be repeated here.

[0086] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0087] Based on the same inventive concept, the embodiment of the present application also provides a business workload assessment device for implementing the business workload assessment method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the one or more business workload assessment device embodiments provided below can refer to the limitations of the business workload assessment method above, and will not be repeated here.

[0088] In an exemplary embodiment, Figure 4 As shown, a device for evaluating business workload is provided, including: an acquisition module 410, a first determination module 420 and a second determination module 430, wherein:

[0089] The acquisition module 410 is used to acquire the job grade data of the current business object and each business feature item completed within a preset time period;

[0090] A first determination module 420, used to determine the baseline workload and corresponding complexity data of each service feature item;

[0091] The second determination module 430 is used to determine the business workload of the current business object according to the job grade data of the current business object, the benchmark workload of each business feature item and the corresponding complexity data.

[0092] In one embodiment, the second determination module 430 includes: a first determination unit, used to determine the single workload of the corresponding business characteristic item for each business characteristic item based on the job grade data of the current business object, and the benchmark workload and corresponding complexity data of the business characteristic item; a second determination unit, used to determine the business workload of the current business object based on the single workloads of all business characteristic items corresponding to the current business object.

[0093] In one embodiment, the first determination module 420 includes: a first acquisition unit, used to obtain, for each business feature item, the business category and the corresponding business complexity level to which the business feature item belongs; and a second acquisition unit, used to obtain complexity data of the business feature item under the business complexity level from a feature item standard library under the business category.

[0094] In one embodiment, the business workload evaluation device also includes: a statistical module, which is used to count the actual working hours of all business objects corresponding to the target business characteristic items; a third determination module, which is used to determine the theoretical working hours of all business objects corresponding to the target business characteristic items based on the single workload of the target business characteristic items; and an update module, which is used to update the complexity data of the target business characteristic items in the characteristic item standard library when the deviation value between the actual working time and the theoretical working time is greater than a preset threshold.

[0095] In one embodiment, the update module includes: a third acquisition unit, used to obtain the historical working hours of target business feature items corresponding to the target business complexity level of different business objects; a third determination unit, used to determine the latest complexity data of the target business feature items at the target business complexity level based on the historical working hours and the benchmark workload of the target business feature items; a replacement unit, used to replace the corresponding complexity data in the feature item standard library with the latest complexity data.

[0096] In one embodiment, the third determination unit includes: a first determination subunit, which determines the average historical working hours of the target business characteristic item at the target business complexity level based on the historical working hours; and a second determination subunit, which determines the latest complexity data of the target business characteristic item at the target business complexity level based on the average historical working hours and the benchmark workload of the target business characteristic item.

[0097] Each module in the above-mentioned business workload evaluation device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0098] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 5 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a method for evaluating business workload is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0099] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0100] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0101] Obtain the job grade data of the current business object and each business feature item completed within a preset time period;

[0102] Determine the baseline workload and corresponding complexity data for each business feature item;

[0103] The business workload of the current business object is determined based on the job grade data of the current business object, the baseline workload of each business feature item and the corresponding complexity data.

[0104] In one embodiment, when the processor executes the computer program, the following steps are also implemented: for each business feature item, the single workload of the corresponding business feature item is determined according to the job grade data of the current business object, as well as the benchmark workload and corresponding complexity data of the business feature item; the business workload of the current business object is determined according to the single workloads of all business feature items corresponding to the current business object.

[0105] In one embodiment, when the processor executes the computer program, the following steps are also implemented: for each business feature item, the business category and the corresponding business complexity level to which the business feature item belongs are obtained; and from the feature item standard library under the business category, the complexity data of the business feature item under the business complexity level is obtained.

[0106] In one embodiment, when the processor executes the computer program, the following steps are also implemented: counting the actual working hours of all business objects corresponding to the target business feature items; determining the theoretical working hours of all business objects corresponding to the target business feature items based on the single workload of the target business feature items; when the deviation value between the actual working time and the theoretical working time is greater than a preset threshold, updating the complexity data of the target business feature items in the feature item standard library.

[0107] In one embodiment, when the processor executes the computer program, the following steps are also implemented: obtaining the historical working hours of target business feature items corresponding to the target business complexity level for different business objects; determining the latest complexity data of the target business feature items at the target business complexity level based on the historical working hours and the benchmark workload of the target business feature items; and replacing the corresponding complexity data in the feature item standard library with the latest complexity data.

[0108] In one embodiment, when the processor executes the computer program, the following steps are also implemented: based on the historical working hours, the average historical working hours of the target business characteristic item at the target business complexity level is determined; based on the average historical working hours and the benchmark workload of the target business characteristic item, the latest complexity data of the target business characteristic item at the target business complexity level is determined.

[0109] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0110] Obtain the job grade data of the current business object and each business feature item completed within a preset time period;

[0111] Determine the baseline workload and corresponding complexity data for each business feature item;

[0112] The business workload of the current business object is determined based on the job grade data of the current business object, the baseline workload of each business feature item and the corresponding complexity data.

[0113] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: for each business feature item, the single workload of the corresponding business feature item is determined based on the job grade data of the current business object, as well as the baseline workload and corresponding complexity data of the business feature item; the business workload of the current business object is determined based on the single workloads of all business feature items corresponding to the current business object.

[0114] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: for each business feature item, the business category and the corresponding business complexity level to which the business feature item belongs are obtained; and from the feature item standard library under the business category, the complexity data of the business feature item under the business complexity level is obtained.

[0115] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: counting the actual working hours of all business objects corresponding to the target business feature items; determining the theoretical working hours of all business objects corresponding to the target business feature items based on the single workload of the target business feature items; and updating the complexity data of the target business feature items in the feature item standard library when the deviation value between the actual working hours and the theoretical working hours is greater than a preset threshold.

[0116] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: obtaining the historical working hours of target business feature items corresponding to the target business complexity level for different business objects; determining the latest complexity data of the target business feature items at the target business complexity level based on the historical working hours and the benchmark workload of the target business feature items; and replacing the corresponding complexity data in the feature item standard library with the latest complexity data.

[0117] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: based on the historical working hours, the average historical working hours of the target business characteristic item at the target business complexity level is determined; based on the average historical working hours and the benchmark workload of the target business characteristic item, the latest complexity data of the target business characteristic item at the target business complexity level is determined.

[0118] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0119] Obtain the job grade data of the current business object and each business feature item completed within a preset time period;

[0120] Determine the baseline workload and corresponding complexity data for each business feature item;

[0121] The business workload of the current business object is determined based on the job grade data of the current business object, the baseline workload of each business feature item and the corresponding complexity data.

[0122] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: for each business feature item, the single workload of the corresponding business feature item is determined based on the job grade data of the current business object, as well as the baseline workload and corresponding complexity data of the business feature item; the business workload of the current business object is determined based on the single workloads of all business feature items corresponding to the current business object.

[0123] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: for each business feature item, the business category and the corresponding business complexity level to which the business feature item belongs are obtained; and from the feature item standard library under the business category, the complexity data of the business feature item under the business complexity level is obtained.

[0124] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: counting the actual working hours of all business objects corresponding to the target business feature items; determining the theoretical working hours of all business objects corresponding to the target business feature items based on the single workload of the target business feature items; and updating the complexity data of the target business feature items in the feature item standard library when the deviation value between the actual working hours and the theoretical working hours is greater than a preset threshold.

[0125] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: obtaining the historical working hours of target business feature items corresponding to the target business complexity level for different business objects; determining the latest complexity data of the target business feature items at the target business complexity level based on the historical working hours and the benchmark workload of the target business feature items; and replacing the corresponding complexity data in the feature item standard library with the latest complexity data.

[0126] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: based on the historical working hours, the average historical working hours of the target business characteristic item at the target business complexity level is determined; based on the average historical working hours and the benchmark workload of the target business characteristic item, the latest complexity data of the target business characteristic item at the target business complexity level is determined.

[0127] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0128] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0129] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for evaluating business workload, characterized in that: The method comprises: Obtain the job grade data of the current business object and each business feature item completed within a preset time period; Determine the baseline workload and corresponding complexity data for each of the business characteristic items; The business workload of the current business object is determined according to the job grade data of the current business object, the benchmark workload of each business feature item and the corresponding complexity data.

2. The method according to claim 1, characterized in that Determining the business workload of the current business object according to the job grade data of the current business object, the benchmark workload of each business feature item and the corresponding complexity data includes: For each business characteristic item, determine the single workload of the corresponding business characteristic item according to the job grade data of the current business object, as well as the benchmark workload and corresponding complexity data of the business characteristic item; The business workload of the current business object is determined according to the individual workloads of all business feature items corresponding to the current business object.

3. The method according to claim 1 or 2, characterized in that: The determining of the complexity data of each of the service feature items includes: For each service feature item, obtaining the service category and corresponding service complexity level to which the service feature item belongs; From a standard library of characteristic items under the service category, complexity data of the service characteristic items under the service complexity level are obtained.

4. The method according to claim 3, characterized in that The method further comprises: Count the actual working hours of all business objects corresponding to the target business feature items; Determine the theoretical working time of all business objects corresponding to the target business characteristic item according to the single workload of the target business characteristic item; When the deviation value between the actual working time and the theoretical working time is greater than a preset threshold, the complexity data of the target business characteristic item in the characteristic item standard library is updated.

5. The method according to claim 4, characterized in that Updating the complexity data of the target service feature item in the feature item standard library includes: Obtain the historical working hours of target business characteristic items of different business objects corresponding to the target business complexity level; Determine the latest complexity data of the target service feature item at the target service complexity level according to the historical working hours and the benchmark workload of the target service feature item; The latest complexity data is used to replace the corresponding complexity data in the feature item standard library.

6. The method according to claim 5, characterized in that Determining the latest complexity data of the target business complexity level of the target business feature item according to the historical working hours and the benchmark workload of the target business feature item includes: Determine, based on the historical working hours, the average historical working hours of the target business characteristic item at the target business complexity level; According to the historical working time average and the benchmark workload of the target business characteristic item, the latest complexity data of the target business characteristic item at the target business complexity level is determined.

7. A device for evaluating business workload, characterized in that: The device comprises: The acquisition module is used to obtain the job grade data of the current business object and each business feature item completed within a preset time period; A first determination module, used to determine the benchmark workload and corresponding complexity data of each of the service feature items; The second determination module is used to determine the business workload of the current business object according to the job grade data of the current business object, the benchmark workload of each business feature item and the corresponding complexity data.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

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

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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