Employee productivity monitoring software uses automated data collection, analytics as well as logs from applications, calendars, etc. to report on employees’ activities, time spent, work locations and work patterns. It can provide insights into when employees are working and what work is being done. Insights thus generated from employee productivity monitoring can support efforts to improve organizational effectiveness, employee experience, worker well-being and working-time compliance. This software also creates detailed reports on the collected data that helps employees manage their workload for optimum results and managers to measure employee performance.
Gartner defines robotic process automation (RPA) as software that automates tasks within business and IT processes using software scripts that emulate human interaction with the application UI. RPA enables a manual task to be recorded or programmed into a software script, which users can develop through programming or by using the RPA platform’s low-code and no-code GUIs. This script can then be deployed and executed into different runtimes. The runtime executable of the deployed script is referred to as a bot or robot.
WFM is a solution comprising software, services and (often) hardware that helps organizations manage the operational deployment of their workers. In most cases, WFM is deployed for hourly paid/blue-collar employees. However, the deployment of WFM for both hourly and salaried workers is justifiable in several cases, including when the organization: Seeks to use the same absence management and/or access control system for both salaried and hourly workers; Captures salaried workers’ overtime and uses that data to calculate gross pay; Schedules salaried workers to work dynamic shifts, rather than set “office” hours; Allocates and tracks salaried workers’ time to projects or tasks and a WFM system is already in use