Volume 18, No. 6, 2021

Improvement In Employee Retention Of Business Organizations Through Utilization Of Big Data Analytics


RENU JAHAGIRDAR , DR. SWATI BANKAR

Abstract

Aim/Purpose This study attempts to examine the way Big Data Analytics assists business organizations in their talent management, hiring and thereby employee retention process Background In the last decades, the utilisation of Big Data that refers to the large volume of structured and unstructured data produced through routine activities of organisation has become quite popular within business organisations. This paper analyses few effective Big Data Analytic tools used in organisations for analysing huge volumes of data. Methodology This article follows significant and main phases of PRISMA methodology that includes eligibility, identification along with screening. Contribution In this study the importance of Artificial Intelligence and Machine Learning is explored in the context of employee retention to examine the effectiveness of data driven decisions. Findings The key finding of the study reveals that the executives are applying predictive analysis while hiring the potential talents as it helps in finding the skilled and experienced candidate for an organisation by analysing inbound and progression variables of the employees. Recommendations The practitioners can utilize big data analytics within business organization for enhancing employee retention. The researcher can use technology-based devices such as computers, laptops and other foe gathering data faster. Impact on Society The COVID-19 pandemic and lot of expenses are the implications for the researcher during conducting this research study. Future Research Business companies seek to retain employees that are highly skilled, and experienced, these enterprises are now focused on implementing technological tools that have the ability to detect the behavioural pattern of the employees thereby helping in making strategic decisions while hiring.


Pages: 5234-5246

Keywords: Big Data, Artificial Intelligence, Big Data Analytic tools, Machine Learning, Employee Retention

Full Text