Introduction
Recruitment without data is guesswork. Data-driven hiring ensures every decision — from sourcing to onboarding — is backed by insights, not assumptions.

Key Sections 1. Why recruitment data matters
2. Core hiring metrics (time-to-hire, cost-per-hire, quality-of-hire)
3. Predictive analytics for workforce planning
4. Using dashboards and ATS reports
5. Avoiding vanity metrics
6. AI in candidate scoring
7. Diversity and inclusion metrics
8. Data privacy in recruitment
9. Case study: data-driven hiring success
10. Future of recruitment analytics

Conclusion
With the right metrics, companies can hire smarter, faster, and at a lower cost while improving employee retention.