HR analytics plays a vital role in enhancing strategic HR decision-making by transitioning from intuition-based to data-driven insights. The chapter highlights key HR metrics, tools for effective data management, applications of HR analytics across various HR functions, and ethical considerations for data usage. Together, these elements foster improved hiring, retention, performance, and overall HR effectiveness.
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Term: Descriptive Analytics
Definition: Descriptive analytics involves understanding past events, such as analyzing incidences of turnover in a given time frame.
Term: Predictive Analytics
Definition: Predictive analytics utilizes historical data to forecast trends or behaviors, such as identifying which employees may be at risk of leaving.
Term: HR Metrics
Definition: HR metrics are quantitative measures used to assess the effectiveness and efficiency of HR practices in achieving business goals.
Term: KPI (Key Performance Indicator)
Definition: KPIs are critical metrics that align HR objectives with business goals, providing insights into key areas like hiring and employee engagement.
Term: HRIS (Human Resource Information System)
Definition: HRIS refers to software systems that manage employee data and HR processes, facilitating better data management and reporting.