Partial book profile
The Basic Principles of People Analytics
A practical primer that demystifies people analytics and shows HR professionals how to use employee data to make better, evidence-based decisions that create business value.
The full book profile is not available yet.
What it’s about
The Basic Principles of People Analytics is a concise, hands-on guide that strips away the theory and jargon surrounding HR analytics to show HR practitioners exactly how to start using data to drive business outcomes. Through vivid examples—Google reengineering its interview process, Credit Suisse saving tens of millions by predicting turnover, and a cleaning company discovering the real driver of customer satisfaction—the book explains what people analytics is, why it matters, the maturity levels organizations pass through, the skillsets a strong analytics team needs, and a repeatable five-step process from asking the right business question through interpreting and executing on results. It is ideal for HR professionals who want to move beyond static reporting toward predictive, strategic contribution and finally earn HR a credible seat at the strategic table.
The through-line
- Who it’s for
- An HR professional or leader who wants to move beyond administrative reporting and become a credible, strategic, data-driven business partner.
- The problem
- HR holds valuable people data but lacks the skills and process to turn it into insights that influence business decisions. They feel confused about where to start, sidelined at the strategic table, and not taken seriously by management.
- The plan
- Ask the right business-relevant question tied to a top CEO priority.
- Select the right data considering level, context, and outcome complexity.
- Clean the data ensuring validity and reliability.
- Analyze using the appropriate descriptive, predictive, or prescriptive technique.
- Interpret results, adjust for context, and execute by selling actionable insights.
- The payoff
- HR quantifies its impact, earns a strategic seat, and drives better business and employee outcomes. · The organization makes fairer, faster, more accurate people decisions and gains competitive advantage.
See our guide
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Additional reading
- Work rules!: Insights from inside Google that will transform how you live and lead · L. Bock
Provides deep insight into the practices of Google, a pioneer in people analytics and a core example used throughout this book.
- Thinking, Fast and Slow · Daniel Kahneman
Explains the cognitive biases that people analytics aims to overcome, providing the psychological basis for why a data-driven approach is superior to intuition.
Featured in these guides
- Build a People Analytics Practice →Cited source
Co-cited books
- Predictive HR Analytics, Text Mining Organizational Network Analysis with Excel
- Predictive Analytics in Human Resource Management A Hands-on Approach
- CLC_Selecting_HR_Metrics
- Job and Work Analysis
- The basic principle of people analytics learn how to use hr data to drive better outcomes for your business and employees · Erik van Vulpen
- People analytics in the era of big data changing the way you attract, acquire, develop, and retain talent
- How to Measure Employee Performance (The performance management series)
- Data-Driven HR How to Use Analytics and Metrics to Drive Performance · Bernard Marr