Definition
Predictive analytics anticipates future workforce behavior — turnover, promotion, or engagement — enabling proactive HR action.

Introduction
Predictive models transform HR from reactive to pre-emptive, turning data patterns into strategic foresight.

Explanation
1️⃣ Attrition prediction — Identify high-risk talent groups.
2️⃣ Flight-risk triggers — Tenure, pay gaps, engagement scores.
3️⃣ Career forecasting — Predict promotion readiness.
4️⃣ Demand simulation — Estimate headcount needs.
5️⃣ Ethics — Balance insight with privacy.

Key Takeaways

Prevention is cheaper than reaction.

Models need continuous validation.

Always disclose data purpose ethically.

Real-World Case
HSBC: Uses predictive attrition models to pre-empt resignations, improving retention of critical digital talent.