CN114511235A - Process evaluation method and system - Google Patents
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The embodiment of the application provides a process evaluation method and a system, which belong to the technical field of process evaluation, and the method comprises the following steps: acquiring attribute information of a process to be evaluated, and performing unified standard processing on the attribute information; according to the unified standard processing result and the flow sequence of the flow, attribute information is concatenated to obtain flow information from the starting point to the end point of the flow; obtaining the weight scores of the process information under each preset system according to a preset scoring rule; and performing combined weight score calculation on the weight scores under each preset system, and outputting the combined weight scores obtained through calculation as a process evaluation result. The scheme of the invention realizes the full-process evaluation of the process with the breakpoint, and improves the efficiency and the accuracy of the process evaluation.
Description
Technical Field
The present application relates to the field of process evaluation technologies, and in particular, to a process evaluation method and a process evaluation system.
Background
Modern enterprise management is more and more comprehensive in use of informatization and digitization, standardization and informatization of enterprise management are realized for realizing efficient management of the interior of an enterprise and business process management, and the modern enterprise management is increasingly paid attention by various enterprises as an important means for improving business efficiency, enhancing risk management and improving resource utilization efficiency. However, for long service flows across components and systems, it is often difficult for service personnel to trace back data of the whole flow, and sometimes there is a situation that breakpoints exist in the data and the data cannot be communicated, so that management of the service flow is trapped in a trouble, and definition, evaluation, monitoring and optimization of the service flow are difficult.
For example, in the banking industry, there are many types of designed services, and there are great differences between the degree of information confidentiality and the size of authority of designed users. And a single user may design multiple types of services, and no matter the difference of service systems or the difference of service sub-process data of each sub-line causes a great data breakpoint problem, so that when the breakpoint problem cannot be solved, end-to-end comprehensive evaluation cannot be realized during process evaluation, and a final evaluation result is separated from reality. For the result of the process evaluation, all levels of management organizations of the banking business department need to issue the order, the remodeling and the optimization of the business process step by step. At present, the common mode of each business management department is to manually extract business data, process and calculate, and manually finish the flow evaluation under the on-line condition, and the flow optimization suggestion implementation condition is difficult to control through the flow in the forms of mails and the like. Aiming at the problems of the existing process evaluation method, a new process evaluation method needs to be created.
Disclosure of Invention
An object of the present invention is to provide a process evaluation method and a process evaluation system, so as to solve at least the above problems.
In order to achieve the above object, a first aspect of the present application provides a flow evaluation method, including: acquiring attribute information of a process to be evaluated, and performing unified standard processing on the attribute information; according to the unified standard processing result and the flow sequence of the flow, attribute information is concatenated to obtain flow information from the starting point to the end point of the flow; obtaining the weight scores of the process information under each preset system according to a preset scoring rule; and performing combined weight score calculation on the weight scores under each preset system, and outputting the combined weight scores obtained through calculation as a process evaluation result.
In an embodiment of the present application, the attribute information includes: basic data and channel end buried point data of each sub-process in the process.
In this embodiment of the present application, the performing unified standard processing on the attribute information includes: carrying out unified standard loading on basic data of each sub-process and channel end buried point data in the process; processing the loaded data according to a preset preprocessing algorithm; the preset preprocessing algorithm comprises one or more of data de-duplication, missing value filling, data consistency check and invalid value processing.
In this embodiment, the concatenating attribute information according to the unified standard processing result and the flow sequence of the flow includes: acquiring preset sequence information of each sub-process in the process; sequentially and serially connecting the loading data of each sub-process in the preprocessed process according to the preset sequence information; the starting point of the serially connected loading data is coincided with the starting point of the process, and the ending point of the serially connected loading data is coincided with the ending point of the process.
In an embodiment of the present application, the preset system at least includes: one or more of process integrity, process efficiency, process wind control, process experience and process digitization.
In the embodiment of the application, each preset system in each preset system comprises a plurality of levels of evaluation indexes, and each level of evaluation index is configured with a preset parameter attribute; in the multi-level evaluation indexes, except for the last level evaluation index, each level evaluation index comprises a dependent index, and the dependent index is an adjacent next level evaluation index of the corresponding level evaluation index; in the multi-level evaluation indexes, except for the top-level evaluation index, each level of evaluation index comprises a higher-level index, and the higher-level index is an adjacent higher-level evaluation index of the corresponding level of evaluation index; all the preset systems have the same top level evaluation index, and all the preset systems jointly form the top level evaluation index.
In this embodiment of the application, the obtaining of the weight score of the process information under each preset system according to a preset scoring rule includes: for each preset system, starting from the last-level evaluation index of the preset system, calculating the preset parameter attribute weight score of each level evaluation index step by step according to a preset scoring rule until the next-top-level evaluation index, and obtaining the weight score under the preset system; wherein, the weight score of the evaluation index of the upper level is obtained according to the weight score of the subordinate index.
In an embodiment of the present application, the preset scoring rule includes: one or more of positive and negative performance, proportion condition, threshold value condition and preset scoring rule of the parameter attribute; and the positive and negative performance refers to the characteristic of the influence degree of the corresponding parameter attribute on the flow to be evaluated.
In this embodiment of the present application, the performing combined weight score calculation on the weight scores under each preset system includes: and for each preset system, calculating the weight score of the top-level evaluation index of the preset system as a combined weight score according to the weight calculation result of the second top-level evaluation index of the preset system.
In an embodiment of the present application, the method further includes: and if the calculated combination weight score is lower than a preset combination weight score threshold value, pushing the calculation result of the combination weight score to a monitoring end.
In an embodiment of the present application, the method further includes: if the preset system with the weight score lower than the preset threshold value of the system weight score is determined to exist, marking the preset system with the weight score lower than the preset threshold value of the system weight score, and triggering corresponding alarm information.
A second aspect of the present application provides a process evaluation system, including: the acquisition unit is used for acquiring attribute information of a process to be evaluated; a processing unit to: carrying out unified standard processing on the attribute information; according to the unified standard processing result and the flow sequence of the flow, attribute information is concatenated to obtain flow information from the starting point to the end point of the flow; an evaluation unit for: obtaining the weight scores of the process information under each preset system according to a preset scoring rule; and performing combined weight score calculation on the weight scores under each preset system, and outputting the combined weight scores obtained through calculation as a process evaluation result.
In an embodiment of the present application, the evaluation unit is further configured to: under the condition that the calculated combination weight score is lower than a preset combination weight score threshold value, pushing a combination weight score calculation result to a monitoring end; under the condition that a preset system with the weight score lower than a preset threshold value of the system weight score is determined, marking the preset system with the weight score lower than the preset threshold value of the system weight score, and triggering a corresponding alarm instruction; the system further comprises: and the alarm unit is used for generating alarm information according to the alarm instruction.
A third aspect of the present application provides a machine-readable storage medium having stored thereon instructions that, when executed by a processor, cause the processor to be configured to perform the above-described flow evaluation method.
A fourth aspect of the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the flow evaluation method described above.
According to the technical scheme, all attribute information of the flow to be evaluated is mined, attribute information is processed in a unified standard mode, isolation flows with break points are unified to a standard mode, then flow series connection is carried out, and end-to-end complete flow information is obtained. And then, carrying out complete process evaluation based on a preset multi-system weight evaluation mode to obtain a comprehensive performance evaluation result of the process to be evaluated. The comprehensive evaluation requirement of the breakpoint flow is met, and the evaluation accuracy of the flow is improved.
Additional features and advantages of embodiments of the present application will be described in detail in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the embodiments of the disclosure, but are not intended to limit the embodiments of the disclosure. In the drawings:
FIG. 1 schematically illustrates a flow chart of steps of a flow evaluation method according to an embodiment of the present application;
FIG. 2 schematically shows a system architecture diagram of a process evaluation system according to an embodiment of the present application;
fig. 3 schematically shows an internal structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the specific embodiments described herein are only used for illustrating and explaining the embodiments of the present application and are not used for limiting the embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that if directional indications (such as up, down, left, right, front, and back … …) are referred to in the embodiments of the present application, the directional indications are only used to explain the relative positional relationship between the components, the movement situation, and the like in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indications are changed accordingly.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present application, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present application.
Modern enterprise management is more and more comprehensive in use of informatization and digitization, and standardization and informatization of enterprise management are realized for realizing efficient management and business process management in enterprises. As an important means for improving business efficiency, enhancing risk management, and improving resource utilization efficiency, it is increasingly paid attention by various enterprises. However, for long service flows across components and systems, it is often difficult for service personnel to trace back data of the whole flow, and sometimes there is a situation that breakpoints exist in the data and the data cannot be communicated, so that management of the service flow is trapped in a trouble, and definition, evaluation, monitoring and optimization of the service flow are difficult. For example, in the banking industry, there are many types of designed services, and there are great differences between the degree of information confidentiality and the size of authority of designed users. And a single user may design multiple types of services, and no matter the difference of service systems or the difference of service sub-process data of each sub-line causes a great data breakpoint problem, so that the breakpoint problem cannot be solved, and end-to-end comprehensive evaluation cannot be realized during process evaluation, so that the final evaluation result is separated from reality. For the result of the process evaluation, all levels of management organizations of the banking business department need to issue the order, the remodeling and the optimization of the business process step by step. At present, the common mode of each business management department is to manually extract business data, process and calculate, and manually finish the flow evaluation under the on-line condition, and the flow optimization suggestion implementation condition is difficult to control through the flow in the forms of mails and the like.
The existing flow evaluation method has many defects, and the difficulty is high when the long-flow data is constructed. On one hand, data of each component is not communicated, and the data cannot be connected in series, so that the data lose the value of application. Processing of flow data lacks a uniform standard, resulting in increased difficulty in quantity application. The flow data application of T +1 is difficult to meet the timeliness requirement of the service, and the application of real-time data is needed in the service with a relatively urgent requirement in part of time. The process analysis and evaluation report depends on manual output of service management personnel, and a large amount of time is consumed for manual calculation of data and writing of the report; moreover, because the capabilities of the service management personnel are different, the quality difference of the output content of the report is large, and a standard and easy-to-use process analysis model is lacked. Task circulation, reach and processing tracking of the flow analysis report lack system support, are performed in a traditional mail mode and the like, and are difficult to track implementation effects.
Aiming at the defects of the existing process evaluation method, the invention provides a new process evaluation method, which aims at the pain point of the current business process management and simultaneously provides a standardized model of process evaluation to realize the automatic evaluation of the business process and enable a business management department to master the current situation of the business process at any time. Based on the process model analysis, the process analysis report is automatically output, a multi-channel efficient task flow mechanism is realized, the landing of the implementation suggestion of the process analysis report is ensured, the remodeling optimization of the business process is realized, and the business efficiency is improved. For convenience of scheme explanation, the specific embodiment of the present application is introduced by taking the banking industry as a reference, but the process evaluation algorithm provided by the present application is not limited to the banking industry, and any industry having a process evaluation requirement can be implemented by using the process evaluation method provided by the present application.
Fig. 1 schematically shows a flow diagram of a flow evaluation method according to an embodiment of the present application. As shown in fig. 1, in an embodiment of the present application, a flow evaluation method is provided, which includes the following steps:
step S10: and acquiring attribute information of the process to be evaluated, and performing unified standard processing on the attribute information.
Specifically, it is known that in the banking industry, diversified business types exist, and the system type and the data type of each business process may be different, so that the existing method cannot meet the requirement of performing full-process evaluation across systems. The invention aims to realize the end-to-end whole-process evaluation of the whole process, and can be realized even if a single process has a plurality of sub-processes, each sub-process does not belong to the same process lifting, and data isolation exists between the sub-processes. In order to solve the breakpoint condition, all process data need to be put under the same standard, all process data with breakpoints are connected in series, and after complete process data are obtained, process evaluation is performed. Firstly, attribute information of a process to be evaluated is required, wherein the attribute information comprises: and basic data and channel end buried point data of each sub-process in the process to be evaluated. The basic data of each sub-process is the basic architecture data of the process, which has no specificity and is the basic data of each sub-process under the same process. The channel end buried point data is the differentiated data of each sub-process based on the respective process system, and the breakpoint is mainly formed due to the data. The data are taken as main composition data of each sub-process, and then unified standard processing is carried out based on the data.
Firstly, loading basic data of each sub-process and channel end buried point data in the same standard, namely loading all the data into the same standard, then performing data preprocessing, and performing normalization processing on the data related to break points, wherein the normalization processing comprises data de-duplication, missing value filling, data consistency inspection and invalid value processing. After the data processing is completed, the data of all sub-processes are under the same standard.
For example, in a banking system, the existing basic data is information such as stream information, escrow details, public users and the like; the buried point data is information such as mobile phone banks and internal employee systems. The information is collected and identified in the banking industry according with laws and regulations, so that the evaluation method related to the processes is carried out in the banking industry, the data needs to be processed in a unified standard, and the whole process evaluation from a service initiating end to a stopping end of the same user is ensured.
In one embodiment, various process operation indexes and process analysis and monitoring data are formed by using big data analysis platform tools such as MPP (maximum power point) and the like so as to acquire process attribute information related to each process system.
Step S20: and according to the unified standard processing result and the flow sequence of the flow, performing attribute information concatenation to obtain flow information from the starting point to the end point of the flow.
Specifically, preset sequence information of each sub-process is obtained, and the preprocessed sub-process loading data are sequentially connected in series according to the preset sequence information; wherein, the loading data starting point after the series connection is superposed with the starting point of the flow to be evaluated; and the cut-off point of the load data after the serial connection is superposed with the cut-off point of the flow to be evaluated.
From the starting point to the stopping point of the process, the process data are required to pass through each process node and each sub-process node, and the process data are re-concatenated according to the node data, that is, the preprocessed data are concatenated, so that the problem that the processes of each breakpoint cannot be spliced in the past is solved, and the finally obtained process data are ensured to be end-to-end full-process data.
Step S30: and obtaining the weight scores of the process information under each preset system according to a preset scoring rule.
Specifically, after the complete process data is obtained, the process data needs to be evaluated, and preferably, the process evaluation is performed by using the weight score in the present invention. Because different influence indexes have different influence degrees on the whole process, although some influence indexes have large change values, the influence degrees on the whole process are possibly small, and in order to avoid the problem that the influence weight of low influence indexes is too large because the evaluation result of the process is directly determined by variable data, the performance of the process to be evaluated is judged by calculating the weight of each performance index.
In one embodiment, the predetermined system comprises: flow integrity, flow efficiency, flow air control, flow experience and flow digitization. Each system corresponds to corresponding process indexes, weights are given to different dimensionalities, model calculation scores are conducted on the relevant indexes, process evaluation scores are obtained comprehensively, and the overall operation condition of the process is evaluated. These flow systems are direct embodiments that affect the quality of the flow, but are not fundamental problems. For example, the process is managed as a system, but there may be various influence reasons, such as authority division, database setting, encryption method, and the like. Therefore, the process wind control system is a comprehensive influence result, and the weight scores of the process wind control system and the influence factors need to be acquired one by one. Based on the method, each preset system comprises multi-level evaluation indexes, and each level evaluation index is configured with a preset parameter attribute; each level evaluation index comprises a subordinate index except for the last level evaluation index, wherein the subordinate index is the next level evaluation index adjacent to the corresponding level evaluation index; except for the top-level evaluation indexes, each layer of evaluation indexes comprises a higher-level index, namely the adjacent previous-level evaluation index of the corresponding level evaluation index; all the preset systems have the same top level evaluation index, and all the preset systems jointly form the top level and the evaluation index.
In one embodiment, three levels of evaluation indexes are preset, including a top level and the evaluation indexes which are formed by all preset systems; the method comprises the following steps of (1) forming a secondary level evaluation index by each preset system, namely a process integrity evaluation index, a process efficiency evaluation index, a process wind control evaluation index, a process experience evaluation index and a process digital evaluation index; and then, final-level evaluation indexes composed of influence factors of each preset system, namely, the authority division evaluation indexes, the database setting evaluation indexes and the encryption method evaluation indexes in the process wind control evaluation indexes are similar to the system conditions of other secondary-level evaluation indexes, and all content items influencing the corresponding preset system are listed and used as the final-level evaluation indexes. Then, when weight score calculation is carried out, starting from the last-level evaluation index, carrying out parameter attribute weight score calculation preset by each level evaluation index step by step according to a preset scoring rule until the next-top-level evaluation index is calculated, and obtaining weight scores under each preset system; wherein, the weight score of the superior index is obtained according to the corresponding weight score of the subordinate index.
For example, the process wind control evaluation index has authority division evaluation index, a database setting evaluation index and an encryption method evaluation index, and weight scoring is carried out according to the positive and negative performance, the proportion condition, the threshold condition and the preset scoring rule of the parameter attribute; and the positive and negative performance represents the characteristic of the influence degree of the corresponding parameter attribute on the flow to be evaluated. And respectively obtaining specific weight scores of the authority division evaluation index, the database setting evaluation index and the encryption method evaluation index, and then combining and calculating a combined weight score of the three as the weight score of the process wind control evaluation index. By analogy, the weight scores of the process integrity evaluation index, the process efficiency evaluation index, the process experience evaluation index and the process digital evaluation index are obtained one by one.
Step S40: and performing combined weight score calculation on the weight scores under each preset system, and outputting the combined weight scores obtained through calculation as a process evaluation result.
Specifically, after the weight scores under each preset system are obtained, namely the weight scores of the process integrity evaluation index, the process efficiency evaluation index, the process wind control evaluation index, the process experience evaluation index and the process digital evaluation index are respectively obtained, the combined weight score of the five systems is calculated, and the combined weight score is used as the evaluation result of the process to be evaluated because the five systems directly concern the performance characteristics of the process to be evaluated.
In one embodiment, a combination weight threshold and a system weight score threshold for each preset system are preset. If the combined weight score is lower than the preset combined weight score threshold, the total flow of the corresponding evaluation does not reach the preset standard, and the flow needs to be improved. If the weight of a certain preset system is lower than the corresponding system weight score threshold, the corresponding system is an item which does not reach the standard of the evaluation process, and the item needs to be upgraded, so that alarm information is also output, related personnel are reminded to upgrade the item, and the optimization process of the process is sequentially realized.
In an embodiment, as shown in fig. 2, a process evaluation system is provided, which includes a collecting unit, configured to obtain attribute information of a process to be evaluated; a processing unit to: carrying out unified standard processing on the attribute information; according to the unified standard processing result and the flow sequence of the flow, attribute information is concatenated to obtain flow information from the starting point to the end point of the flow; an evaluation unit for: obtaining the weight scores of the process information under each preset system according to a preset scoring rule; and performing combined weight score calculation on the weight scores under each preset system, and outputting the combined weight scores obtained through calculation as a process evaluation result.
In one embodiment, the evaluation unit is further configured to: under the condition that the calculated combination weight score is lower than a preset combination weight score threshold value, pushing a combination weight score calculation result to a monitoring end; under the condition that a preset system with the weight score lower than a preset threshold value of the system weight score is determined, marking the preset system with the weight score lower than the preset threshold value of the system weight score, and triggering a corresponding alarm instruction; the system further comprises: and the alarm unit is used for generating alarm information according to the alarm instruction.
The flow evaluation system comprises a processor and a memory, the acquisition unit, the processing unit, the evaluation unit and the like are stored in the memory as program units, and the processor executes the program modules stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the flow evaluation method is realized by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present application provides a storage medium, on which a program is stored, and the program, when executed by a processor, implements the above-described flow evaluation method.
The embodiment of the application provides a processor, wherein the processor is used for running a program, and the program executes the above flow evaluation method during running.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 3. The computer apparatus includes a processor a01, a network interface a02, a display screen a04, an input device a05, and a memory (not shown in the figure) connected by a system bus. Wherein processor a01 of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises an internal memory a03 and a non-volatile storage medium a 06. The nonvolatile storage medium a06 stores an operating system B01 and a computer program B02. The internal memory a03 provides an environment for the operation of the operating system B01 and the computer programs B02 in the non-volatile storage medium a 06. The network interface a02 of the computer device is used for communication with an external terminal through a network connection. The computer program when executed by the processor a01 implements a process evaluation method. The display screen a04 of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device a05 of the computer device may be a touch layer covered on the display screen, a button, a trackball or a touch pad arranged on a casing of the computer device, or an external keyboard, a touch pad or a mouse.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
The present application also provides a computer program product adapted to perform the above-described flow evaluation method when executed on a data processing device.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, which include both non-transitory and non-transitory, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (15)
1. A method for process evaluation, the method comprising:
acquiring attribute information of a process to be evaluated, and performing unified standard processing on the attribute information;
according to the unified standard processing result and the flow sequence of the flow, attribute information is concatenated to obtain flow information from the starting point to the end point of the flow;
obtaining the weight scores of the process information under each preset system according to a preset scoring rule;
and performing combined weight score calculation on the weight scores under each preset system, and outputting the combined weight scores obtained through calculation as a process evaluation result.
2. The method of claim 1, wherein the attribute information comprises:
basic data and channel end buried point data of each sub-process in the process.
3. The method of claim 2, wherein the performing unified standard processing on the attribute information comprises:
carrying out unified standard loading on basic data of each sub-process and channel end buried point data in the process;
processing the loaded data according to a preset preprocessing algorithm; wherein the content of the first and second substances,
the preset preprocessing algorithm comprises one or more of data de-duplication, missing value filling, data consistency checking and invalid value processing.
4. The method of claim 3, wherein the concatenating the attribute information according to the unified standard processing result and the flow order of the flow comprises:
acquiring preset sequence information of each sub-process in the process;
sequentially and serially connecting the loading data of each sub-process in the preprocessed process according to the preset sequence information; the starting point of the serially connected loading data is coincided with the starting point of the process, and the ending point of the serially connected loading data is coincided with the ending point of the process.
5. The method according to claim 1, characterized in that said predetermined system comprises at least:
one or more of process integrity, process efficiency, process wind control, process experience and process digitization.
6. The method according to claim 5, wherein each predetermined system comprises a plurality of levels of evaluation indexes, and each level of evaluation index is configured with a predetermined parameter attribute;
wherein the content of the first and second substances,
in the multi-level evaluation indexes, except for the last level evaluation index, each level evaluation index comprises a dependent index, and the dependent index is an adjacent next level evaluation index of the corresponding level evaluation index;
in the multi-level evaluation indexes, except for the top-level evaluation index, each level of evaluation index comprises a higher-level index, and the higher-level index is an adjacent higher-level evaluation index of the corresponding level of evaluation index;
all the preset systems have the same top level evaluation index, and all the preset systems jointly form the top level evaluation index.
7. The method according to claim 6, wherein the obtaining of the weight score of the process information under each preset system according to a preset scoring rule comprises:
for each preset system, starting from the last-level evaluation index of the preset system, calculating the preset parameter attribute weight score of each level evaluation index step by step according to a preset scoring rule until the next-top-level evaluation index, and obtaining the weight score under the preset system; wherein, the weight score of the evaluation index of the upper level is obtained according to the weight score of the subordinate index.
8. The method of claim 7, wherein the pre-set scoring rules comprise:
one or more of positive and negative performance, proportion condition, threshold condition and preset scoring rule of the parameter attribute; wherein the content of the first and second substances,
the positive and negative performances refer to the characteristics of the degree of influence of the corresponding parameter attributes on the process to be evaluated.
9. The method according to claim 7, wherein the performing the combined weight score calculation on the weight scores under the respective predetermined systems comprises:
and for each preset system, calculating the weight score of the top-level evaluation index of the preset system as a combined weight score according to the weight calculation result of the second top-level evaluation index of the preset system.
10. The method of claim 1, further comprising:
and if the calculated combination weight score is lower than a preset combination weight score threshold value, pushing a combination weight score calculation result to a monitoring end.
11. The method of claim 1, further comprising:
if the preset system with the weight score lower than the preset threshold value of the system weight score is determined to exist, marking the preset system with the weight score lower than the preset threshold value of the system weight score, and triggering corresponding alarm information.
12. A process evaluation system, the system comprising:
the acquisition unit is used for acquiring attribute information of a process to be evaluated;
a processing unit to:
carrying out unified standard processing on the attribute information;
according to the unified standard processing result and the flow sequence of the flow, attribute information is concatenated to obtain flow information from the starting point to the end point of the flow;
an evaluation unit for:
obtaining the weight scores of the process information under each preset system according to a preset scoring rule;
and performing combined weight score calculation on the weight scores under each preset system, and outputting the combined weight scores obtained through calculation as a process evaluation result.
13. The system of claim 12, wherein the evaluation unit is further configured to:
under the condition that the calculated combination weight score is lower than a preset combination weight score threshold value, pushing a combination weight score calculation result to a monitoring end;
under the condition that a preset system with the weight score lower than a preset threshold value of the system weight score is determined, marking the preset system with the weight score lower than the preset threshold value of the system weight score, and triggering a corresponding alarm instruction;
the system further comprises:
and the alarm unit is used for generating alarm information according to the alarm instruction.
14. A machine-readable storage medium having instructions stored thereon, which when executed by a processor, cause the processor to be configured to perform the process evaluation method of any of claims 1 to 11.
15. A computer program product comprising a computer program, characterized in that the computer program realizes the flow evaluation method of any one of claims 1 to 11 when executed by a processor.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115796709A (en) * | 2023-02-06 | 2023-03-14 | 云账户技术(天津)有限公司 | Method, device, equipment and storage medium for evaluating health condition of transaction business |
| CN116450703A (en) * | 2023-03-31 | 2023-07-18 | 阿里巴巴（中国）有限公司 | Data processing, statistics, node determination and modeling method and electronic equipment |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115796709A (en) * | 2023-02-06 | 2023-03-14 | 云账户技术(天津)有限公司 | Method, device, equipment and storage medium for evaluating health condition of transaction business |
| CN116450703A (en) * | 2023-03-31 | 2023-07-18 | 阿里巴巴（中国）有限公司 | Data processing, statistics, node determination and modeling method and electronic equipment |
| CN116450703B (en) * | 2023-03-31 | 2024-03-01 | 阿里巴巴（中国）有限公司 | Data processing, statistics, node determination and modeling method and electronic equipment |
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