Attendance statistics method, apparatus, computer device and storage medium

Abstract

The invention discloses a method for attendance statistics, which is based on the technical field of big data information processing. The method comprises the following steps: receiving attendance statistics request, the attendance statistics request carrying department information; obtaining the corresponding employee attendance table according to the department information, and the employee attendance table including the attendance data of each employee in the department corresponding to the department information; extracting attendance rules with mapping relationship with department information from preset attendance database according to department information; performing statistics on the comprehensive attendance data of each employee in the department within the preset time period according to the attendance rules of the department. according to the invention, the overtime work situation of the employees can be counted according to different departments, The nature of work and workload of different departments are different. By setting different attendance rules for different departments, overtime work of employees in different departments can be automatically counted, and attendance of employees in different departments need not be manually counted, which saves time for attendance statistics, saves human cost, and makes attendance system more flexible at the same time.

Description

technical field [0001] The present invention relates to the technical field of software systems. Specifically, the present invention relates to a method, device, computer equipment and storage medium for attendance statistics based on big data information analysis. Background technique [0002] With the increasing pace of work and life, people need to deal with more and more things every day, especially at work. For some urgent matters, it is difficult to put these urgent matters at hand during the normal 8-hour working hours. After the work is completed, overtime work is usually required. According to national regulations, employees who work overtime in different periods are required to pay a certain percentage of overtime pay, so it is necessary to count the overtime hours of employees. [0003] In the prior art, the time attendance is checked through the time attendance machine, but the time attendance machine is not intelligent enough. Generally, only when the overtime ...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the time attendance is checked through the time attendance machine, but the time attendance machine is not intelligent enough. Generally, only when the overtime time starts can be set from the time attendance machine. Time is counted as overtime, but in fact, in the actual operation of the company, the working hours and overtime rules of employees in different project teams will be different. Time exceeding a certain time is not counted as overtime hours, and different departments may have different working hours, etc. In these cases, multiple attendance machines are needed, or logistics personnel are required to manually count the overtime hours of employees, which greatly increases the number of logistics personnel. workload, and it is very cumbersome to count overtime data. Manual statistics are prone to errors, resulting in unfairness

Images