• Mr.T.Nagendra Kumar
• Mr.D.Prudhvi
• Mr.G.Yoga Sai Kumar

This theoretical article elaborates the moderating factors of the human resources analysis (HR Analytics), considered as one of the main initiatives in human resources today. It seems that the analysis simplifies the decision-making process by proposing a more data-driven approach. Although human resource analysis is a priority in most organizations, the implementation process is slow and only a minor proportion of them even report having implemented it. HR analysis is not progressing as many academics have suggested over the last 10 years. Therefore, it seems necessary to identify the modulatory factors of HR Analytics that promote or hinder its success. The number of academic research articles dealing with this subject is very small. The impact of moderating factors on the level of human resource analysis is vague and unexplored. This paper offers potential explanations of the relationship between moderators and HR analysis and provides suggestions to organizations on how best to address these factors. In the first part of this article, the development and theoretical assumptions for a more data-driven approach to human resource decision-making are developed. Then the concept of HR Analytics will be defined. The third section presents case studies and examines the importance of the practice of human resource analysis in organizations. In the following, each moderation factor will be examined in detail. Finally, the main conclusions of the subject under study are discussed and summarized.

HR Analytics, People Analytics, HR Metrics, Big Data, Strategic HRM

"HR ANALYTICS AND ITS MODERATING FACTORS-A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.473-480, June-2019, Available :http://www.jetir.org/papers/JETIR1906848.pdf

"HR ANALYTICS AND ITS MODERATING FACTORS-A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp473-480, June-2019, Available at : http://www.jetir.org/papers/JETIR1906848.pdf