HR Analytics can help businesses understand their employees and how well their human resources team is performing. It can also help businesses improve internal processes related to payroll, benefits, hiring, employee onboarding, employee performance, and overall employee morale.

The process of HR Analytics is made up of 4 primary tasks that are performed one after the other:

• Data Collection
• Monitoring the data and comparing it with past performance
• Analysis
• Utilize the obtained data to bring in remedial measures

What are the 7 Pillars of HR Analytics?

1. Organizational Culture
2. Talent Management
3. Leadership
4. Workforce Planning
5. Learning and Development
6. Performance Management
7. Employee Engagement

Benefits of HR Analytics

HR Analytics can help HR teams streamline processes, reduce costs, and reduce attrition. It can measure metrics such as;

• Time to hire
• Training expense per employee
• Time until promotion
• Revenue per employee
• Offer Acceptance Rate
• Sentiments of Organization/Workforce

Predictive Analytics is used in HR Analytics to get actionable insights on improving human resources-related processes and data-driven decision-making. These predictions furnish HR leaders with information that improves decision-making in areas such as hiring the right candidates, bridging the skill gap, and retaining talent.

Tools Used in HR Analytics

Like any other Data Analytics stream, there are several different tools used for different situations. Below is a list of tools that are commonly used in HR Analytics;

• Advance Excel
• VBA and Macros
• Power BI
• Tableau
• Google Apps Scripts
• Allteryx
• Looker Studio / Google Studio
• SQL
• R or RStudio