HR DATA ANALYTICS IN THE TIME OF THE COVID-19 PANDEMIC
Authors: K.V.Rama Murthy* and John Mohammed Pasha Shaik

ABSTRACT
We are now residing in an era that can be labelled as the Era of Analytics. HR Analytics is now playing a vital role in aligning all the business processes towards achievement of strategic goals in order to have a competitive advantage. Additionally, globalization of business has escalated motion of employees in the organization and there is cultural amalgamation on social and corporate levels. Hence there is a shift on the talent war, where HR plays a pivotal role in human-capital analytics for business decision making. This would result in changes in recruitment practices across the organizations throughout the world to acquire fresh talents, better decision- making capacity by the help of work force analytics. This paper focuses on recruitment and attrition analytics by utilizing data-driven metrics and acumen to upgrade the sourcing of the best candidates for different profiles within the organization and understanding the reasons for gradual loss of employees over time and how to retain them in the organization. Due to pandemic COVID-19, organizations have been scrapping interviews. It is to be expected that 60-65 per cent interviews would get dropped or delayed due to lockdown in many parts of the world and people are encouraged to stay at home to curb the spread of the virus. This will witness an adverse impact in the short term with interviews getting postponed, especially in the services sector, following the slowdown across industries triggered by the coronavirus pandemic. Subsequently due to coronavirus pandemic there is severe economic slowdown so organizations have opted for work from home using technologies. So, HR Analytics plays an important role in retaining employees and improving ROI. Keywords: HR Analytics, Recruitment metrics, Attrition metrics, Workforce Analytics, Human Capital Analytics
Publication date: 25/09/2021
    https://ijbpas.com/pdf/2021/September/MS_IJBPAS_2021_SEPT_SPCL_1009.pdf
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https://doi.org/10.31032/IJBPAS/2021/10.9.1009