HR AUTOMATION ROBOTIC PROCESS AUTOMATION

The project deals with automating different task of HR department. These tasks include:  On-Boarding process , Off-Boarding process , Payroll cycle. Thus, allowing the members of the department to focus on more strategic initiatives for the betterment and growth of the organization. The technologies that are used in the project are:  UI-Path Studio ,Orange HRM , Microsoft Excel , Microsoft Word .

Abstract
RPA(Robotic  process  automation)  is  software bot  that  automate  processes  that are rule-based and highly transactional in the HR department. It requires little or no human intervention. In HR automation, a software robot is used  to  perform upon  high-volume and repetitive operational data from HR employees. This is how robotic process automation i.e RPA can be used in HR automation.RPA has the greatest impact in the domain of human resources. The HR department is in charge of a large number of duties. These are monotonous jobs that should be automated. On boarding an employee, leave management, termination, retirement, and the payroll cycle, for example, might all be automated. The HR department is responsible for  a large amount of data, including those of current and former employees, payroll, compliance and regulatory requirements, and so on. Manually managing such data is a  major undertaking. However, automating data management is more convenient than manually managing data. 

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APA

SINGH, S. (2022). HR AUTOMATION ROBOTIC PROCESS AUTOMATION. Afribary. Retrieved from https://track.afribary.com/works/it2020-21-p50-manuscript

MLA 8th

SINGH, SATAKSHI "HR AUTOMATION ROBOTIC PROCESS AUTOMATION" Afribary. Afribary, 27 May. 2022, https://track.afribary.com/works/it2020-21-p50-manuscript. Accessed 24 Dec. 2024.

MLA7

SINGH, SATAKSHI . "HR AUTOMATION ROBOTIC PROCESS AUTOMATION". Afribary, Afribary, 27 May. 2022. Web. 24 Dec. 2024. < https://track.afribary.com/works/it2020-21-p50-manuscript >.

Chicago

SINGH, SATAKSHI . "HR AUTOMATION ROBOTIC PROCESS AUTOMATION" Afribary (2022). Accessed December 24, 2024. https://track.afribary.com/works/it2020-21-p50-manuscript