People AnalyticsDescriptive AnalyticsDiagnostic AnalyticsPredictive AnalyticsPrescriptive AnalyticsData Analytics
California State University
This project investigated analytical techniques used by organizations across many industries for HR functions, and how data analytical techniques can help HR departments work efficiently. The goal was to look into the obstacles and opportunities that companies have when using HR analytics as a tool in their businesses. This project used secondary data acquired from earlier research articles, journals from the years 2016 to 2019, blogs, and websites to investigate theories and applications of HR analytics. It also examined the need of analytics to assist HR leaders in thinking about the implications of these technologies in future work and how data analytics will shape the HR system in the future. The project examined the implementation of different AI and Data Analytics techniques - Predictive, Perspective, Descriptive and Diagnostic analytics that are already in use by organizations to maximize efficiency in the HR department. The project also uncovered the following important issues faced by the organizations: lack of technical skills, cost required for training, and provided possible solutions by using data analytical techniques.