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.pdfDownload PDFhttps://doi.org/10.31032/IJBPAS/2021/10.9.1009