This study aims at identifying various Human Resources (HR) analytics as part of Business Intelligence (BI), for systematic and effective handling of HR issues. Further, this study identifies the importance ofBI in the field of Human Resource Management (HRM) through various established models of BI like SAP ERP Workforce Analytics, SAS Human Capital Predictive Analytics and Retention Modeling, Oracle Human Resources Analytics and IBM Cognos Business Intelligence. The study focuses on how these BI models helps in attaining sustainable business growth through the strategic alignment of HR issues with the overall business objectives. The study follows a descriptive approach. The published works (mainly from Emerald, Science Direct and EBSCO) are being reviewed to identify various HR analytics that contributes to the overall BI. The study concludes that HR analytics as a part of BI helps an organization in systematically handling Human Resources with the use of data management and warehousing technologies across different functions of HRM. Thus it leads to work force stability within the organization. On the other hand a stable work force leads to continuous business growth and helps an organization in its sustainability and thereby creates competitive advantage for the organization in its external business environment. The implication drawn out of this study states that HR analytics as a form of BI helps in simplifying HR functions and creates strategic alignment with the overall business objectives. The present study is a modest attempt to compile various existing studies in a meaningful direction in order to generate a need for the use of BI in the field of HRM.

HR analytics, Business intelligence, Data management, and Data warehousing

[1]. Boudreau, W. John &Peter, M. Ramstad, (2006). Talent ship and HR measurement and analysis: from ROI to strategic organizational change. Human Resource Planning, 29(1), 25
[2]. Chhinzer, Nita and Gurdeep,Ghatehorde. (2009). Challenging relationships: hr metrics and organizational financial performance. The Journal of Business Inquiry 8(1), 37-48. DOI: 10.4102.v8i1.276
[3]. Hota & Ghosh. (2013), Workforce analytics approach: an emerging trend of workforce management. Tenth AIMS International Conference on Management.
[4]. Jon, Ingham. (2011). Using a human capital scorecard as a framework for analytical discovery. Strategic HR Review Journal, 10(2), 24-29
[5]. Kapoor, B., &Sherif, J. (2012).Human resources in an enriched environment of business intelligence. Kybernetes, 41(10), 1625-1637.
[6]. Lawler, Edward E., Alec, Levenson., &John, W. Boudreau. (2004). HR metrics and analytics: use and impact .Human Resource Planning; 27(4), 27
[7]. Levenson, Alec, (2005). Harnessing the Power of HR Analytics” Strategic HR Review; 4(3), 28
[8]. Magau, M.D., & Roodt, G. (2010).An evaluation of the Human Capital Bridge TM framework.SA Journal of Human Resource Management, 8(1).
[9]. Marten et.al (2013), A Framework for Business Analytics in Performance Management International Journal of Productivity and Performance Management, 62(1), 110-122
[10]. Mayo, A. (2006). Measuring and reporting: The fundamental requirement for data. CIPD - Research Report. Retrieved from http://www.mayolearning.com/mayo-publications/