Outdated methods of monitoring attendance
Code machines, swipe cards, and check-sheets were popular methods of monitoring employee attendance in the past, but these methods are now considered outdated.
Code machines were used to record the time of arrival and departure of employees by having them punch a code into a machine. This method was widely used in the past but was often inaccurate, as employees could easily forget or misplace their code.
Swipe cards required employees to swipe a card in and out of a machine to record their attendance. While this method was more reliable than the code machine, it still had its limitations. For example, employees could lend their swipe cards to others, leading to inaccuracies in attendance records.
Check-sheets were paper-based systems where employees would sign in and out of work each day. This method was easy to use, but it was also prone to human error and could be easily manipulated. For example, an employee could easily forge a signature or have someone else sign in for them. Nowadays, companies like NCheck offer much more modern and foolproof solutions.
How to track employee attendance effectively?
Today, most organizations have moved on to more modern and efficient methods of tracking attendance, such as biometric systems, electronic time clocks, and cloud-based software. These methods are more reliable, accurate, and provide real-time attendance data that can be easily accessed and analyzed.
With a cloud biometric attendance system, companies can monitor employee attendance with increased accuracy, eliminating the possibility of buddy punching, where an employee clocks in and out for another employee. The system provides real-time attendance data, allowing managers to quickly access and analyze attendance from anywhere at any time.
With a biometric system, the time spent on manual attendance tracking is reduced, freeing up time for employees to focus on more productive tasks. Overall, these systems can help organizations to streamline attendance tracking, improve efficiency, and make more informed decisions about staffing levels and resource allocation.