Analytical Human Resources: A Path Towards Business Intelligence

Abstract

The purpose of this research is to find the different Human Resources analytics as an aspect of Business Intelligence for efficient and structured HR issue management. This article also discusses the significance of business intelligence in the realm of human resource management (HRM) by utilizing various established BI models such as SAS Human Capital Predictive Analytics, SAP ERP Workforce Analytics, and Retention Modeling, IBM Cognos, and Oracle Human Resources Analytics. The research focuses on how various BI models aid in achieving long-term business success by strategically aligning HR challenges with overall business goals. The research takes a descriptive approach. The published publications are being evaluated (mostly from EBSCO, Emerald, and Science Direct,) to find various HR analytics that contribute to the BI as an overall. According to the survey, Human Resource analytic as a component of BI assists a business in systematically managing Human Resources through the usage of warehousing technologies and data management across various HRM functions. As a result, the organization's workforce is more stable. A steady work force, on the other hand, contributes to continued company development and assists the sustainability of an organization, creating a competition for the firm in its business’ external environment. According to the study's findings, HR analytics as a type of BI aids in the simplification of HR tasks and the creation of strategic balance with overall company objectives. The current study is a moderate effort to bring together several previous researches in a relevant way to produce a demand for the usage of business intelligence in HRM field.