HR Analytics

HR Analytics is the practice of collecting, measuring and analysing workforce data to inform decisions on recruitment, retention, performance and compliance. It turns raw HR data into actionable insights that improve organisational outcomes.

What is HR Analytics

HR Analytics uses quantitative methods and descriptive reports to reveal trends and patterns in employee behaviour. It covers metrics such as turnover, time to hire, absence, engagement and performance. Results guide talent strategy and operational priorities.

How does it work

Data is gathered from HR systems, payroll, learning platforms and surveys. Analysts clean and combine data, apply statistical techniques and create visual reports. Predictive models can forecast outcomes like attrition risk or hiring needs.

Practical usage in HR includes informing hiring plans, measuring diversity and inclusion progress, ensuring payroll accuracy and demonstrating compliance with labour laws. Organisations use HR Analytics to allocate resources, reduce costs and improve employee experience.

Examples and use cases:

• Identifying departments with high turnover and designing retention interventions
• Using time to hire trends to optimise recruiting channels
• Forecasting workforce needs for succession planning and compliance reporting

Related HR concepts include people analytics, workforce analytics, HR metrics and talent analytics. These terms overlap and focus on different scopes or techniques for analysing employee data.