HR analytics refers to the use of data and statistical analysis to inform and guide decisions related to human resources management. It involves the collection, organization, and interpretation of data on employee performance, turnover, recruitment, and other HR-related areas.

The goal of HR analytics is to use data to identify patterns and trends that can be used to improve the efficiency and effectiveness of HR practices. By analyzing data on employee performance, for example, an organization can identify areas where employees are excelling and areas where they may be struggling, and use that information to develop targeted training programs or other interventions.

HR analytics can be applied in many areas of HR management, including workforce planning, talent management, employee engagement, and compensation. It can be used to support decisions on workforce size and structure, recruitment and retention strategies, and the design of benefits and compensation packages.

HR analytics typically use tools such as data visualization, statistical modeling and machine learning to analyze data and provide insights. It can be done in-house or by using specialized software, and it's becoming an increasingly important part of the HR function in organizations.