Key Takeaways
- HR Reporting is descriptive, focusing on “what happened” without interpreting the data.
- People Analytics is diagnostic and prescriptive, identifying “why” things happened and how to improve them.
- Metric Types: HR data evolves from descriptive (headcount) to diagnostic (KPIs) to predictive (future risks).
- AI Integration: Modern analytics like SplashBI for HR leverages AI for predictive talent acquisition, actionable workforce insights, and data-driven decision-making, empowering HR leaders.
- Strategic Value: Moving beyond reporting unlocks hidden insights in HR systems to drive business decisions.
Reports present the facts; analytics connect those facts to decisions.
- Reporting – Organizes historical data so you can see what happened.
- People analytics – Diagnoses root causes, predicts future outcomes, and recommends next steps.
Let’s look at the primary types of HR metrics
- Descriptive: What happened?
- Diagnostic: Is it good or bad?
- Predictive: What will happen?
- Prescriptive: How do we improve what will happen?
| Feature | HR Reporting | People Analytics |
|---|---|---|
| Focus | Descriptive (What happened?) | Diagnostic & Predictive (Why? What next?) |
| Interpretation | Left to the reader | Suggests remedies and solutions |
| Data Type | Static metrics (e.g., Headcount) | Actionable KPIs (e.g., Exit Risk) |
For instance, headcount is a descriptive metric. A headcount of 1000 provides information but doesn’t indicate performance, it requires context to become actionable.
Turnover rate is also a descriptive metric that can be interpreted as positive or negative depending on direction and context. By applying a benchmark or goal, turnover rate becomes a diagnostic metric, a key performance indicator (KPI). The metric now tells us if there’s a problem – “turnover is 20%, which is higher than goal”.
People Analytics platforms like SplashBI use AI to move beyond static reports helping turn natural language questions into predictive insights. This is a primary driver for the industry, as 61% of HR leaders are now actively deploying or planning Generative AI initiatives. Predictive analytics use statistical models to tell us what is likely to happen. This generates new strategic KPIs, such as employee exit risk, letting you address problems before they happen. Prescriptive analytics build on the results of predictions and suggest solutions to future problems.
Bottom line: when you shift from passive reporting to people analytics, you unlock actionable KPIs and clear recommendations. Despite the benefits, less than half of organizations currently see high adoption of people data within HR systems. Ready to see how quickly SplashBI can surface those insights? Schedule a live demo and start making data-driven decisions today.
