CN115545516A - Performance data processing method, device and system based on process engine - Google Patents
Performance data processing method, device and system based on process engine Download PDFInfo
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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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G—PHYSICS
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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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
Abstract
The disclosure provides a performance data processing method, a performance data processing device and a performance data processing system based on a process engine, and relates to the technical field of data processing. The method comprises the following steps: acquiring currently recorded work attribute data of each employee of an enterprise to be managed; based on a preset mapping relation, determining a performance calculation rule corresponding to each employee according to the department and the job grade of each employee; calculating a performance assessment result corresponding to each employee based on the performance calculation rule and the work attribute data corresponding to each employee, and outputting the performance assessment result of each employee to the terminal equipment of each employee for displaying; and in response to the received performance checking instruction, displaying a performance calculation rule and a performance assessment result to terminal equipment corresponding to the employee identification according to the employee identification contained in the performance checking instruction. Therefore, the method has better adaptability to the processing of the performance data, can meet the requirements of enterprises, departments and individuals, and is very comprehensive and scientific.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a performance data processing method, a performance data processing device and a performance data processing system based on a process engine.
Background
The performance management refers to a continuous cyclic process of performance plan making, performance coaching and communication, performance assessment and evaluation, performance result application and performance target improvement which are commonly participated by managers and staff at all levels in order to achieve an organization target, and the purpose of the performance management is to continuously improve the performance of individuals, departments and organizations. The efficient performance management method can stimulate the working enthusiasm of the staff and standardize the working behaviors of the staff.
At present, mainly through the evaluation and the calculation of carrying out the performance by special business personnel, not only the efficiency is very low, has still brought very big amount of labour, among the correlation technique, also has some systems that are used for performance management, but when carrying out performance analysis to staff's achievement, the mode is often comparatively single, and the analysis is comprehensive science inadequately, can't play sufficient incentive and normative effect to enterprise and staff.
Disclosure of Invention
The present disclosure is directed to solving, at least to some extent, one of the technical problems in the related art.
According to a first aspect of the present disclosure, a performance data processing method based on a flow engine is provided, including:
acquiring currently recorded work attribute data of each employee of the enterprise to be managed according to the specified type of assessment period;
determining a performance calculation rule corresponding to each employee according to a department and a job grade of each employee based on a preset mapping relation, wherein the performance calculation rule comprises an assessment rule and an assessment personnel label;
calculating a performance assessment result corresponding to each employee based on the performance calculation rule corresponding to each employee and the work attribute data, and outputting the performance assessment result of each employee to the terminal equipment of each employee for displaying;
and in response to the received performance checking instruction, displaying a performance calculation rule and an updated performance assessment result to terminal equipment corresponding to the employee identification according to the employee identification contained in the performance checking instruction.
According to a second aspect of the present disclosure, a performance data processing device based on a flow engine is provided, which includes:
the acquisition module is used for acquiring currently recorded work attribute data of each employee of the enterprise to be managed according to the specified type of assessment period;
the system comprises a determining module, a judging module and a judging module, wherein the determining module is used for determining a performance calculation rule corresponding to each employee according to a department and a job grade of each employee based on a preset mapping relation, and the performance calculation rule comprises an assessment rule and an assessment personnel label;
the calculation module is used for calculating a performance assessment result corresponding to each employee based on the performance calculation rule corresponding to each employee and the work attribute data, and outputting the performance assessment result of each employee to the terminal equipment of each employee for displaying;
and the feedback module is used for responding to the received performance checking instruction and displaying the performance calculation rule and the updated performance assessment result to the terminal equipment corresponding to the employee identification according to the employee identification contained in the performance checking instruction.
An embodiment of the third aspect of the present disclosure provides a performance data processing system based on a flow engine, including: an examination result maintenance module, a target scheme management module, a data processing module, a data providing module and an examination management module,
the target scheme management module is used for determining a corresponding performance calculation rule corresponding to any current employee according to the type of the assessment period and the identification of any employee contained in the performance data processing instruction under the condition of receiving the performance data processing instruction sent by the assessment management module, and sending the performance calculation rule to the data providing module and the data processing module;
the data providing module is used for acquiring the work attribute data of each employee of the enterprise to be managed, determining the performance data to be processed according to the performance calculation rule corresponding to any employee, and sending the performance data to be processed to the data processing module;
the data processing module is used for calculating a performance assessment result according to the performance data to be processed and a performance calculation rule corresponding to any employee, and sending the performance assessment result to the assessment result maintenance module and the assessment management module;
and the assessment management module is used for sending the received performance assessment result to the terminal equipment corresponding to any employee for displaying.
The performance data processing method, device and system based on the process engine have the following beneficial effects:
in the embodiment of the disclosure, firstly, according to an appointed type of assessment period, obtaining currently recorded work attribute data of each employee of an enterprise to be managed, then, based on a preset mapping relation, determining a performance evaluation rule corresponding to each employee according to a department and a job grade to which each employee belongs, wherein the performance evaluation rule comprises an assessment rule and an assessment personnel label, then, based on the performance evaluation rule corresponding to each employee and the work attribute data, calculating a performance assessment result corresponding to each employee, outputting the performance assessment result of each employee to a terminal device of each employee for display, and then, responding to a received performance viewing instruction, and displaying the performance evaluation rule and an updated performance assessment result to the terminal device corresponding to the employee identifier according to the employee identifier contained in the performance viewing instruction. In conclusion, the system calculates the work attribute data of the staff acquired based on the specified type of assessment period, so that the processing of the performance data is more adaptive, the requirements of enterprises, departments and individuals can be met, and the system is comprehensive and scientific. Because the calculation is carried out by the performance calculation rule corresponding to each employee, the individuation and the accuracy are better, and the considered work attribute data is very comprehensive, the obtained performance calculation result is very scientific, and further, the enterprise and the employee can be well stimulated and normalized.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the disclosure.
Drawings
The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flowchart of a performance data processing method based on a process engine according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a performance data processing method based on a flow engine according to another embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a performance data processing apparatus based on a flow engine according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a process engine based performance data processing system according to an embodiment of the present disclosure;
fig. 5 is a block diagram of an electronic device for implementing a process engine-based performance data processing method according to an embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are illustrative and intended to explain the present disclosure, and should not be construed as limiting the present disclosure.
The process engine is the automation of part or whole of a business process in a computer application environment, and mainly solves the problem of automatically performing the process of transferring documents, information or tasks among a plurality of participants according to some predefined rule so as to achieve a certain expected business goal or promote the achievement of the goal. In general, a process is a step of a plurality of business objects cooperating together to complete a certain thing, and a process engine is a form of changing the step into a computer comprehension. The performance data processing based on the process engine provided by the disclosure can complete the definition and management of the process and execute the process instance according to the process rules predefined in the system.
The performance data processing method based on the process engine provided by the disclosure can be executed by a performance data processing device based on the process engine provided by the disclosure, and the device can be realized in a software and/or hardware manner and can also be executed by electronic equipment provided by the disclosure. A performance data processing method based on a process engine provided by the present disclosure is performed by a performance data processing system based on a process engine provided by the present disclosure, and is hereinafter referred to as a "system" without limiting the present disclosure.
A flow engine-based performance data processing method, apparatus, electronic device, and storage medium according to embodiments of the present disclosure are described below with reference to the accompanying drawings.
Fig. 1 is a schematic flowchart of a performance data processing method based on a process engine according to an embodiment of the present disclosure.
As shown in fig. 1, the performance data processing method based on the flow engine may include the following steps:
s101, acquiring currently recorded work attribute data of each employee of the enterprise to be managed according to the specified type of assessment period.
The specified type of assessment period can be a global assessment period, a unit department assessment period and an individual assessment period. The global assessment period may be an assessment period for all employees in the whole enterprise to be managed, for example, a half year, and is not limited herein. The unit department assessment period may be an assessment period for each employee in any unit department, for example, an assessment period for all employees in the financial department and an assessment period for all employees in the technical department. It should be noted that the characteristics of different departments are different, for example, the work items of the technical department usually take longer time, and the corresponding examination period is usually longer. The personal assessment period may be an assessment period for each employee unit, for example, one month.
It should be noted that the examination period may be configured in the system by the administrator in advance, and may be set and modified according to actual experience.
The work attribute data of the employee may include a department to which the employee belongs, a position of the department to which the employee belongs, a job level of the position to which the employee belongs, a work project in which the employee belongs, and a corresponding completion degree and a period of the work project. Wherein, each employee can be located in one to more work items. The work attribute data can also comprise work attitude evaluation data of the staff, attendance data, daily work state data and daily work completion degree.
It should be noted that, when the currently recorded work attribute data of each employee of the enterprise to be managed is obtained, the work attribute data of the corresponding employee can be obtained according to the specified type of assessment period. For example, if the specified type of assessment period is a financial department assessment period, which is 3 months, the system may obtain work attribute data of all employees in the financial department of the current enterprise to be managed within 3 months, which is not limited herein.
The work attribute data may be pre-recorded in a database of the system, where the work attribute data of each employee may be recorded by a dedicated manager, or may be recorded in the system by each employee, which is not limited herein.
It can be understood that different assessment periods are determined based on different assessment tasks, for example, an assessment period can be set according to the opening and proceeding conditions of a work project of a certain department, so that the proceeding and completing states of the work project can be recorded based on the assessment period.
And S102, determining a performance calculation rule corresponding to each employee according to the department and the job level of each employee based on a preset mapping relation, wherein the performance calculation rule comprises an assessment rule and an assessment personnel label.
The performance calculation rule may be a performance scoring rule (assessment rule), and the performance calculation rule may determine, according to a preset scoring rule, each parameter value corresponding to the work attribute data corresponding to any employee, and further may determine a sum of each parameter value as a performance assessment result of the current employee. The system can determine the assessment personnel labels corresponding to all the employees based on a preset mapping relation, and further determine the assessment rules corresponding to the assessment personnel labels.
It should be noted that the department and the job level of each employee are usually different, and thus the assessment rules corresponding to each employee are usually different.
As a possible implementation scheme, the apparatus may first obtain the department and the job level to which each employee belongs currently, and further determine the performance calculation rule corresponding to the employee.
And S103, calculating a performance assessment result corresponding to each employee based on the performance calculation rule and the work attribute data corresponding to each employee, and outputting the performance assessment result of each employee to the terminal equipment of each employee for showing.
Wherein, the performance assessment result comprises performance income data of the staff.
Optionally, the system may input the performance calculation rule and the work attribute data corresponding to each employee into a preset calculation module, so that the calculation module may obtain a performance assessment result corresponding to each employee, such as performance income data, a performance completion goal, and performance evaluation data, according to the performance calculation rule and the work attribute data corresponding to each employee.
Optionally, the system may obtain the assessment index features corresponding to each employee based on a preset mapping relationship, where the to-be-assessed index features include a first feature, a second feature, and a third feature. The first characteristics at least comprise assessment grade characteristics, assessment project characteristics, assessment content characteristics and assessment quantity characteristics, the second characteristics at least comprise department types, post types and current job grades, and the third characteristics at least comprise marketing capacity characteristics, knowledge improvement characteristics and working attitude characteristics.
The assessment item characteristics can be the work items of the current employees, and the assessment quantity characteristics can be assessment quantity targets which the employees need to reach at the current time. The assessment grade characteristics can be set according to specific job grades of employees, wherein the assessment grade with a lower job grade is lower, and the assessment grade with a higher job grade is higher. The department type may be finance department, business department, technical department, administration, etc., and the job level may be a job level in a job type, such as an initial accountant, a middle-level accountant, and a high-level accountant, which are not limited herein. It should be noted that the same department may have different station types, for example, there may be an automatic driving development station, a recommended technology development station, etc. in the technical department, and the invention is not limited herein. The marketing capacity characteristic can be a characteristic value determined according to the marketing amount or the marketing amount of the current staff, the knowledge promotion characteristic can be a characteristic value determined according to the post learning progress of the current staff, the working attitude characteristic can be a characteristic value quantized according to the working attitude of the user, and the characteristic value corresponding to the positive attitude is higher, and the characteristic value corresponding to the negative attitude is lower.
It is understood that the assessment indicator feature may be a true-valued feature vector or a feature value corresponding to the first feature, the second feature, and the third feature.
Furthermore, the system can input the assessment index characteristics and the work attribute data corresponding to each employee into a pre-constructed neural network model to obtain a performance analysis result output by the neural network model, wherein the neural network model generates the assessment index characteristics into the performance analysis result conforming to normal distribution through a probability density function, and further the system can send the performance analysis result to the terminal equipment of an appointed auditor for display.
The neural network model can be a BP neural network model, and generally depends on the internal determination model weight of a computer, so that human factors are effectively avoided. In the embodiment, the probability density function based on normal distribution is used as the activation function, so that the performance assessment result conforms to the normal distribution, and the performance assessment result is more reasonable.
Optionally, the system may input the assessment index features and the work attribute data corresponding to each employee into a preset BP neural network model, where before the BP neural network model generates the assessment index features into a performance assessment result conforming to normal distribution through a probability density function, the BP neural network model needs to be trained to reach the training times or the accuracy reaches a preset threshold.
The performance analysis result is sent to the appointed auditor, so that the appointed auditor can perform efficient management according to the performance analysis result, and the overall management level and the service level of an enterprise can be improved conveniently.
And S104, responding to the received performance checking instruction, and displaying the performance calculation rule and the updated performance assessment result to the terminal equipment corresponding to the employee identification according to the employee identification contained in the performance checking instruction.
The performance viewing instruction is used for informing the system to return corresponding performance information to the staff, wherein the performance information comprises performance calculation rules and updated performance assessment results.
The updated performance assessment result can be recalculated according to the original performance calculation rule or calculated based on other modes.
The performance checking instruction can be used for sending the performance checking instruction to the system by triggering the specified key when the performance assessment result is in question, so that after the system receives the performance checking instruction, the system can acquire the performance calculation rule of the employee corresponding to the employee identifier according to the employee identifier contained in the performance checking instruction. In addition, after the system receives the performance checking instruction, the system can input the assessment index characteristics and the work attribute data corresponding to the employee into a pre-constructed neural network model so as to obtain a performance analysis result output by the neural network model, and the performance analysis result is used as an updated performance assessment result and sent to the employee.
It should be noted that, when the system displays the performance calculation rule and the updated performance assessment result to the terminal device corresponding to the employee identifier, only the performance calculation rule corresponding to the employee needs to be sent, so that information leakage caused by sending the performance calculation rules corresponding to other employees can be avoided.
The updated performance assessment result can enable the performance assessment result to be more accurate and reliable, so that the current staff can review the performance assessment result to obtain accurate information.
As another possible implementation manner, the system may determine a performance assessment result to be checked by the current employee according to the type of the performance checking instruction, for example, if the type of the performance checking instruction is an organization performance checking instruction, the system may determine a work group or a work department to which the employee belongs, and send a corresponding organization performance assessment result to the employee, where the organization performance assessment result may be a performance assessment result of a plurality of employees, and therefore, when the performance assessment result is returned to the employee, it is not necessary to send a corresponding performance calculation rule, so that information leakage may be prevented, and the performance calculation rule of the current organization may achieve a confidential effect.
In the embodiment of the disclosure, firstly, according to an appointed type assessment period, obtaining currently recorded work attribute data of each employee of an enterprise to be managed, then, based on a preset mapping relation, determining a performance calculation rule corresponding to each employee according to a department and a job level to which each employee belongs, wherein the performance calculation rule comprises an assessment rule and an assessment personnel label, then, based on the performance calculation rule corresponding to each employee and the work attribute data, calculating a performance assessment result corresponding to each employee, outputting the performance assessment result of each employee to a terminal device of each employee for display, and then, in response to receiving a performance viewing instruction, displaying the performance calculation rule and an updated performance assessment result to the terminal device corresponding to the employee identifier according to the employee identifier contained in the performance viewing instruction. In conclusion, the work attribute data of the staff acquired based on the specified type of assessment period is calculated, so that the processing of the performance data is more adaptive, the requirements of enterprises, departments and individuals can be met, and the system is quite comprehensive and scientific. Because the calculation is carried out by the performance calculation rule corresponding to each employee, the individuation and the accuracy are better, and the considered work attribute data is very comprehensive, the obtained performance calculation result is very scientific, and further, the enterprise and the employee can be well stimulated and normalized.
Fig. 2 is a schematic flowchart of a performance data processing method based on a flow engine according to yet another embodiment of the present disclosure.
As shown in fig. 2, the performance data processing method based on the flow engine may include the following steps:
s201, according to the specified type of assessment period, obtaining the currently recorded work attribute data of each employee of the enterprise to be managed.
And S202, determining a performance calculation rule corresponding to each employee according to the department and the job level of each employee based on a preset mapping relation, wherein the performance calculation rule comprises an assessment rule and an assessment personnel label.
It should be noted that, for specific implementation manners of steps S201 and S202, reference may be made to the foregoing embodiments, which are not described herein again.
And S203, determining the current department type, the current job level and the participated at least one work project of each employee, the completion degree of each work project and the participated number of each work project according to the work attribute data corresponding to each employee.
It should be noted that the work attribute data corresponding to each employee is usually different, such as the type of department to which the employee belongs, the current job level, at least one work project to participate, the completion level of each work project, and the number of people to participate in each work project.
The work attribute data corresponding to each employee may be pre-recorded in the system by the employee, and include all work data of the employee up to the current time.
For example, according to the work attribute data corresponding to the employee a, it can be determined that the department to which the employee belongs is the financial department, the job level is the initial accountant, the participating work items are C and D, 3 persons participate in C, and 4 persons participate in D.
And S204, determining a performance assessment target and a performance assessment period of each employee according to the performance calculation rule corresponding to each employee.
It should be noted that the performance assessment target of each employee may be a task target to be achieved corresponding to each employee. The performance assessment period can be determined according to the type of department, the job level and the work project to which each employee belongs currently. It should be noted that, if the time required for completing the work project is relatively long, the performance assessment period is relatively long.
And S205, determining a performance assessment result corresponding to each employee according to a performance assessment target, a performance assessment period, a current department type, a current job level, at least one participated work project, the completion degree of each work project and the number of participated workers of each work project, which correspond to each employee.
Optionally, the performance assessment target, the performance assessment period, the type of the department to which each employee belongs, the current job level, the at least one work item involved, the completion of each work item and the number of persons involved in each work item may be input into a pre-designed calculation module for calculation, so as to determine the performance assessment result corresponding to each employee. The calculation module may include a preset mathematical calculation model.
And S206, outputting the performance assessment result of each employee to the terminal equipment of each employee for displaying.
And S207, in response to the received performance checking instruction, displaying the performance calculation rule and the updated performance assessment result to the terminal equipment corresponding to the employee identification according to the employee identification contained in the performance checking instruction.
It should be noted that, for specific implementation manners of steps S206 and S207, reference may be made to the foregoing embodiments, which are not described herein again.
And S208, recording the sending times of sending the performance calculation rules and the performance assessment results to each employee, wherein the times are used for representing the checking times of the employees.
When the performance calculation rule and the performance assessment result are transmitted to any employee, the number of times of viewing of the employee may be recorded as 1. Wherein, the times of viewing the performance calculation rule and the performance assessment result of each employee need to be recorded respectively.
And S209, under the condition that the sending times corresponding to any employee reach a specified value, inputting the performance calculation rule and the work attribute data corresponding to any employee into a pre-constructed scheme accounting model to obtain an accounting output result of the performance calculation rule and the work attribute data.
It should be noted that if the number of sending times corresponding to any employee reaches a specified value, it indicates that the employee is unsatisfied with the current performance calculation rule, so that the system can input the performance calculation rule and the work attribute data corresponding to any employee into a pre-constructed scheme accounting model, thereby obtaining the accounting output results of the performance calculation rule and the work attribute data.
The scheme accounting model is used for auditing parameters of the performance calculation rule, so that the correctness and the reliability of the performance calculation rule are quickly judged, and an accounting output result is obtained.
And S210, sending complaint prompt information to the performance final appraiser based on the accounting output result to prompt the performance final appraiser to correct a performance calculation rule corresponding to any employee, wherein the complaint prompt information comprises the accounting output result.
The complaint prompt information can be used for prompting a performance final appraising personnel to check and correct the performance calculation rule, so that the performance calculation rule can be scientifically corrected and corrected, the performance calculation rule can be correct and objective, and the incentive effect on the personnel can be met. It should be noted that the complaint prompt information includes the accounting output result, so that the performance end evaluator can check and verify the accounting output result.
In the disclosed embodiment, the currently recorded work attribute data of each employee of the enterprise to be managed is obtained according to the designated type of the assessment period, then the performance calculation rule corresponding to each employee is determined according to the department and the job level to which each employee belongs based on the preset mapping relation, then the department type to which each employee currently belongs, the current job level, at least one participated work item, the completion degree of each work item and the number of participants of each work item are determined according to the work attribute data corresponding to each employee, then the performance goal and the performance assessment period of each employee are determined according to the performance calculation rule corresponding to each employee, then the performance assessment goal and the performance assessment period of each employee are determined according to the performance assessment goal, the performance assessment period, the employee type to which the employee currently belongs, the current job level of the employee, at least one participated work item, the completion degree of each work item and the participant number of each work item are determined, the performance result corresponding to each employee is determined, then the performance result corresponding to each employee is output to the performance terminal of each employee, the performance terminal is displayed, the performance calculation device displays the corresponding to the performance assessment result corresponding to the corresponding assessment terminal, then the performance computing device displays the performance results and displays the performance computing instruction, and displays the performance computing result corresponding to the performance computing device, and displays the performance computing condition, and displays the performance of each employee, and then sending complaint prompt information to the performance final appraiser based on the accounting output result to prompt the performance final appraiser to correct the performance calculation rule corresponding to any employee, wherein the complaint prompt information comprises the accounting output result. Therefore, the performance calculation rule can be checked under the condition that the number of times of viewing of the staff reaches the specified threshold value, and the performance final appraising staff, namely the performance management committee, is informed in time in a manner of complaint prompt information, so that the reliability of the performance calculation rule is guaranteed.
Fig. 3 is a schematic block diagram of a process engine based performance data processing system provided according to an embodiment of the present disclosure.
As shown in fig. 3, the process engine based performance data processing system 300 includes: a assessment results maintenance module 310, a target project management module 320, a data processing module 330, a data providing module 340 and an assessment management module 350,
the objective scheme management module 320 is configured to, upon receiving a performance data processing instruction sent by the assessment management module 350, determine a performance calculation rule corresponding to any employee according to the type of the assessment period and the identifier of the employee, where the type of the assessment period is included in the performance data processing instruction, and send the performance calculation rule to the data providing module 340 and the data processing module 330.
It should be noted that the assessment management module can be used for interacting with the staff users to receive the performance data processing instructions sent by any staff. Wherein, the performance data processing instruction comprises the period of assessment and the identification of any employee. After receiving the performance data processing instruction, the target scheme management module can know whether the current performance index to be calculated is a global performance index, a department performance index or a personal performance index, and further can determine a corresponding performance calculation rule.
The data providing module 340 is configured to obtain work attribute data of each employee of the enterprise to be managed, determine performance data to be processed according to a performance calculation rule corresponding to any employee, and send the performance data to be processed to the data processing module.
It should be noted that, the data providing module may record and register data in advance by each employee or manager, so that the data providing module may obtain work attribute data of each employee of the enterprise to be managed, and the data providing module may determine performance data to be processed, that is, work attribute data of a corresponding employee, such as a employee, a department employee, or a staff of the enterprise, according to a performance calculation rule corresponding to any employee, and send the work attribute data to the data processing module.
The data processing module 330 is used for calculating a performance assessment result according to the performance data to be processed and the performance calculation rule corresponding to any employee, and sending the performance assessment result to the assessment result maintenance module and the assessment management module. The assessment management module 310 is configured to send the received performance assessment result to a terminal device corresponding to the any employee for displaying. The assessment management module can also send performance assessment results to any employee under the condition of receiving performance viewing instructions sent by any employee.
In conclusion, the work attribute data of the staff acquired based on the specified type of assessment period is calculated, so that the processing of the performance data is more adaptive, the requirements of enterprises, departments and individuals can be met, and the system is quite comprehensive and scientific. Because the calculation is carried out by the performance calculation rule corresponding to each employee, the individuation and the accuracy are better, and the considered work attribute data is very comprehensive, the obtained performance calculation result is very scientific, and further, the enterprise and the employee can be well stimulated and normalized.
Fig. 4 is a schematic structural diagram of a process engine based performance data processing system provided according to an embodiment of the present disclosure. As shown in figure 4 of the drawings,
the process engine based performance data processing apparatus 400 may include: the obtaining module 410 is configured to obtain currently recorded work attribute data of each employee of the enterprise to be managed according to a specified type of assessment period;
the determining module 420 is configured to determine, based on a preset mapping relationship, a performance calculation rule corresponding to each employee according to the department and the job level to which each employee belongs, where the performance calculation rule includes an assessment rule and an assessment personnel tag;
the calculation module 430 is configured to calculate a performance assessment result corresponding to each employee based on the performance calculation rule corresponding to each employee and the work attribute data, and output the performance assessment result of each employee to a terminal device of each employee for display;
and the feedback module 440 is configured to, in response to receiving the performance review instruction, display a performance calculation rule and an updated performance assessment result to the terminal device corresponding to the employee identifier according to the employee identifier included in the performance review instruction.
Optionally, the calculation module is specifically configured to:
determining the type of a department to which each employee belongs, the current job level, at least one work project to which each employee participates, the completion degree of each work project and the number of persons participating in each work project according to the work attribute data corresponding to each employee;
determining a performance assessment target and a performance assessment period of each employee according to a performance calculation rule corresponding to each employee;
and determining a performance assessment result corresponding to each employee according to a performance assessment target, a performance assessment period, the type of the current department, the current job level, the participated at least one work project, the completion degree of each work project and the number of participated persons of each work project, which correspond to each employee.
Optionally, the calculating module is further configured to:
recording the sending times of sending the performance calculation rules and the performance assessment results to each employee, wherein the times are used for representing the checking times of the employees;
under the condition that the sending times corresponding to any employee reach a specified value, inputting a performance calculation rule corresponding to any employee and the work attribute data into a scheme accounting model which is constructed in advance to obtain an accounting output result of the performance calculation rule and the work attribute data;
and sending complaint prompt information to a performance final appraiser based on the accounting output result to prompt the performance final appraiser to correct a performance calculation rule corresponding to any employee, wherein the complaint prompt information comprises the accounting output result.
Optionally, the determining module is further configured to:
acquiring assessment index characteristics corresponding to each employee based on a preset mapping relation, wherein the to-be-assessed index characteristics comprise a first characteristic, a second characteristic and a third characteristic;
inputting the assessment index characteristics and the work attribute data corresponding to each employee into a pre-constructed neural network model to obtain the performance analysis result output by the neural network model, wherein the neural network model generates the assessment index characteristics into the performance analysis result conforming to normal distribution through a probability density function;
and sending the performance analysis result to terminal equipment of an appointed auditor for display.
Optionally, the first characteristics at least include assessment grade characteristics, assessment item characteristics, assessment content characteristics and assessment quantity characteristics, the second characteristics at least include part of types, post types and current job grades, and the third characteristics at least include marketing ability characteristics, knowledge improvement characteristics and work attitude characteristics.
In the embodiment of the disclosure, firstly, according to an appointed type assessment period, obtaining currently recorded work attribute data of each employee of an enterprise to be managed, then, based on a preset mapping relation, determining a performance calculation rule corresponding to each employee according to a department and a job level to which each employee belongs, wherein the performance calculation rule comprises an assessment rule and an assessment personnel label, then, based on the performance calculation rule corresponding to each employee and the work attribute data, calculating a performance assessment result corresponding to each employee, outputting the performance assessment result of each employee to a terminal device of each employee for display, and then, in response to receiving a performance viewing instruction, displaying the performance calculation rule and an updated performance assessment result to the terminal device corresponding to the employee identifier according to the employee identifier contained in the performance viewing instruction. In conclusion, the system calculates the work attribute data of the staff acquired based on the specified type of assessment period, so that the processing of the performance data is more adaptive, the requirements of enterprises, departments and individuals can be met, and the system is comprehensive and scientific. Because the calculation is carried out by the performance calculation rule corresponding to each employee, the individuation and the accuracy are better, and the considered work attribute data is very comprehensive, the obtained performance calculation result is very scientific, and further, the enterprise and the employee can be well stimulated and normalized.
The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
FIG. 5 illustrates a schematic block diagram of an example electronic device 500 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 5, the apparatus 500 comprises a computing unit 501 which may perform various appropriate actions and processes in accordance with a computer program stored in a Read Only Memory (ROM) 502 or a computer program loaded from a storage unit 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the device 500 can also be stored. The calculation unit 501, the ROM 502, and the RAM 503 are connected to each other by a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
A number of components in the device 500 are connected to the I/O interface 505, including: an input unit 506 such as a keyboard, a mouse, or the like; an output unit 507 such as various types of displays, speakers, and the like; a storage unit 508, such as a magnetic disk, optical disk, or the like; and a communication unit 509 such as a network card, modem, wireless communication transceiver, etc. The communication unit 509 allows the device 500 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.
The computing unit 501 may be a variety of general-purpose and/or special-purpose processing components having processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The computing unit 501 performs the various methods and processes described above, such as a process engine-based performance data processing method. For example, in some embodiments, the process engine-based performance data processing method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 508. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 500 via the ROM 502 and/or the communication unit 509. When loaded into RAM 503 and executed by the computing unit 501, the computer program may perform one or more of the steps of the process engine based performance data processing method described above. Alternatively, in other embodiments, the computing unit 501 may be configured to perform the flow engine based performance data processing method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), the Internet, and blockchain networks.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server may be a cloud Server, also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service extensibility in a traditional physical host and VPS service ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server incorporating a blockchain.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel or sequentially or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.
Claims (10)
1. A performance data processing method based on a process engine is characterized by comprising the following steps:
acquiring currently recorded work attribute data of each employee of the enterprise to be managed according to the specified type of assessment period;
determining a performance calculation rule corresponding to each employee according to a department and a job grade of each employee based on a preset mapping relation, wherein the performance calculation rule comprises an assessment rule and an assessment personnel label;
calculating a performance assessment result corresponding to each employee based on the performance calculation rule corresponding to each employee and the work attribute data, and outputting the performance assessment result of each employee to the terminal equipment of each employee for displaying;
and responding to the received performance checking instruction, and displaying a performance calculation rule and an updated performance assessment result to terminal equipment corresponding to the employee identification according to the employee identification contained in the performance checking instruction.
2. The method of claim 1, wherein calculating a performance assessment result for each employee based on the performance calculation rules and the work attribute data for each employee comprises:
determining the type of a department to which each employee belongs, the current job level, at least one work project to which each employee participates, the completion degree of each work project and the number of persons participating in each work project according to the work attribute data corresponding to each employee;
determining a performance assessment target and a performance assessment period of each employee according to a performance calculation rule corresponding to each employee;
and determining a performance assessment result corresponding to each employee according to a performance assessment target, a performance assessment period, the current department type, the current job level, the at least one participated work project, the completion degree of each work project and the number of participated workers of each work project, which correspond to each employee.
3. The method of claim 1, further comprising, after said presenting performance calculation rules and performance assessment results to a terminal device corresponding to said employee identification:
recording the sending times of sending the performance calculation rules and the performance assessment results to each employee, wherein the times are used for representing the checking times of the employees;
under the condition that the sending times corresponding to any employee reach a specified value, inputting a performance calculation rule corresponding to any employee and the work attribute data into a pre-constructed scheme accounting model to obtain an accounting output result of the performance calculation rule and the work attribute data;
and sending complaint prompt information to a performance final appraiser based on the accounting output result to prompt the performance final appraiser to correct a performance calculation rule corresponding to any employee, wherein the complaint prompt information comprises the accounting output result.
4. The method of claim 1, further comprising, after said determining the performance calculation rule for each of said employees:
acquiring assessment index characteristics corresponding to each employee based on a preset mapping relation, wherein the to-be-assessed index characteristics comprise a first characteristic, a second characteristic and a third characteristic;
inputting the assessment index characteristics and the work attribute data corresponding to each employee into a pre-constructed neural network model to obtain the performance analysis result output by the neural network model, wherein the neural network model generates the assessment index characteristics into the performance analysis result conforming to normal distribution through a probability density function;
and sending the performance analysis result to terminal equipment of an appointed auditor for display.
5. The method of claim 4, wherein the first characteristics comprise at least assessment level characteristics, assessment item characteristics, assessment content characteristics and assessment quantity characteristics, the second characteristics comprise at least part type, position type and current position level, and the third characteristics comprise at least marketing ability characteristics, knowledge improvement characteristics and work attitude characteristics.
6. A performance data processing apparatus based on a process engine, comprising:
the acquisition module is used for acquiring currently recorded work attribute data of each employee of the enterprise to be managed according to the specified type of assessment period;
the system comprises a determining module, a judging module and a judging module, wherein the determining module is used for determining a performance calculating rule corresponding to each employee according to a department and a job grade of each employee based on a preset mapping relation, and the performance calculating rule comprises an assessment rule and an assessment personnel label;
the calculation module is used for calculating a performance assessment result corresponding to each employee based on the performance calculation rule corresponding to each employee and the work attribute data, and outputting the performance assessment result of each employee to the terminal equipment of each employee for displaying;
and the feedback module is used for responding to the received performance checking instruction and displaying the performance calculation rule and the updated performance assessment result to the terminal equipment corresponding to the employee identification according to the employee identification contained in the performance checking instruction.
7. The apparatus of claim 6, wherein the computing module is specifically configured to:
determining the type of a department to which each employee belongs, the current job level, at least one work project to which each employee participates, the completion degree of each work project and the number of persons participating in each work project according to the work attribute data corresponding to each employee;
determining a performance appraisal target and a performance appraisal period of each employee according to a performance calculation rule corresponding to each employee;
and determining a performance assessment result corresponding to each employee according to a performance assessment target, a performance assessment period, the type of the current department, the current job level, the participated at least one work project, the completion degree of each work project and the number of participated persons of each work project, which correspond to each employee.
8. The apparatus of claim 6, wherein the computing module is further configured to:
recording the sending times of sending the performance calculation rule and the performance assessment result to each employee, wherein the times are used for representing the checking times of the employees;
under the condition that the sending times corresponding to any employee reach a specified value, inputting a performance calculation rule corresponding to any employee and the work attribute data into a scheme accounting model which is constructed in advance to obtain an accounting output result of the performance calculation rule and the work attribute data;
and sending complaint prompt information to a performance final appraiser based on the accounting output result to prompt the performance final appraiser to correct a performance calculation rule corresponding to any employee, wherein the complaint prompt information comprises the accounting output result.
9. The apparatus of claim 6, wherein the determining module is further configured to:
acquiring assessment index characteristics corresponding to each employee based on a preset mapping relation, wherein the to-be-assessed index characteristics comprise a first characteristic, a second characteristic and a third characteristic;
inputting the assessment index characteristics and the work attribute data corresponding to each employee into a pre-constructed neural network model to obtain the performance analysis result output by the neural network model, wherein the neural network model generates the assessment index characteristics into the performance analysis result conforming to normal distribution through a probability density function;
and sending the performance analysis result to terminal equipment of an appointed auditor for display.
10. A performance data processing system based on a process engine is characterized by comprising an assessment result maintenance module, an objective scheme management module, a data processing module, a data providing module and an assessment management module, wherein,
the target scheme management module is used for determining a corresponding performance calculation rule corresponding to any employee according to the type of the assessment period and the identification of any employee contained in a performance data processing instruction under the condition of receiving the performance data processing instruction sent by the assessment management module, and sending the performance calculation rule to the data providing module and the data processing module;
the data providing module is used for acquiring the work attribute data of each employee of the enterprise to be managed, determining performance data to be processed according to a performance calculation rule corresponding to any employee, and sending the performance data to be processed to the data processing module;
the data processing module is used for calculating a performance assessment result according to the performance data to be processed and a performance calculation rule corresponding to any employee, and sending the performance assessment result to the assessment result maintenance module and the assessment management module;
and the assessment management module is used for sending the received performance assessment result to the terminal equipment corresponding to any employee for displaying.
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