Abstract
The Human Resource function has traditionally been viewed as the people centered division of organizations with the use of data mainly restricted to key performance indicators (KPIs) and basic metrics. However, the advent of Big Data and the increased accessibility of data analytic programs has led to an increased need for human resource professionals with data analysis skills. Human Resource departments are now using predictive analytics to improve recruiting, selection, and retention or employees. The majority of organizations see a demand for employees with data analysis skills across all functions, with the human resource division accounting for 54% of projected data analysis positions (SHRM, 2016). Human resource departments are encountering a shortage of HR professionals with at least moderate data analytics skills. The paper provides a review of the literature and provides recommendations for curriculum changes that will address this skill gap.
Recommended Citation
White, Samantha and Pridmore, Jeannie, "Data Analytics in Human Resources" (2019). SAIS 2019 Proceedings. 5.
https://aisel.aisnet.org/sais2019/5
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