Data analytics in recruitment means collecting and examining data to make better hiring decisions. It allows you to see, for example, which recruitment channels are most effective or which candidates are the best fit for a position.
1. Collect data
Collect relevant information, such as applicant data, performance of recruitment campaigns, time taken to fill a position, and candidate success rates. This data often comes from systems such as ATS or HR software.
2. Analyze data
Research and interpret the data collected using tools and techniques such as statistics, reports, and dashboards. For example: Which job posting attracts the most qualified candidates? Or which channel produces the most hires?
3. Take action based on insights
Use the analysis to improve recruitment processes, such as optimizing job postings, targeting campaigns to the right audiences, or adjusting the selection process for better results.