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Key takeaways:
Staffing analytics is shifting from rear‑view reporting to forward‑looking predictive intelligence that directly impacts revenue, margins, and client experience. Predictive models can forecast demand, recruiter capacity, candidate acceptance, and client churn, so long as you have clean data, the right tech stack, and data‑literate teams. Success depends as much on governance, privacy, and change management as on tools.
Staffing has always been a data‑rich business. For years, though, most agencies treated that information as exhaust, useful only for weekly reports and lagging KPIs.
But even incremental improvements in fill rate, time‑to‑start, or redeployment can translate