Labor Market Intelligence: External Data for HR Decisions

The labor market landscape has shifted more in the last 18 months than in the previous decade. Here's how to navigate it.

The Evolution

HR analytics has matured from basic reporting to predictive intelligence. But despite the hype, many organizations are still struggling to move beyond descriptive analytics. The opportunity lies in using data not just to understand what happened, but to predict and influence what will happen.

Phase 1: Assessment

Survey your team about current frustrations

Phase 2: Planning

Map your ideal employee journey

Phase 3: Implementation

Evaluate two or three vendors

Phase 4: Optimization

Start with a pilot program

Key Insights

The goal of HR analytics isn't more dashboards—it's better decisions. This means connecting data to business outcomes, telling compelling stories with numbers, and building a culture where evidence-informed decision-making is the norm.

47%

of companies are redesigning their HR operating mo...

44%

of worker skills will be disrupted in the next 5 y...

77%

of CEOs say skills shortages threaten growth — PwC...

"The question isn't whether to automate HR processes. It's which ones need human judgment and which ones are wasting human potential."

— McKinsey Organization Practice

What This Means for You

Organizations with mature people analytics capabilities are 2.3x more likely to outperform their peers on revenue growth and 1.8x more likely to exceed profitability targets.

Data without action is just noise. Build analytics capabilities that drive real decisions, and measure success by outcomes, not outputs.