image

What is people analytics and why is it important?

People analytics (also known as HR analytics or workforce analytics) is the practice of using data from HR, payroll, and business systems to understand, measure and improve how people drive organisational performance.

In short, it’s about turning workforce data into actionable insights, helping leaders move from gut instinct to evidence-based decision-making. When you know what’s really going on in your teams, you can build strategies that improve engagement, retention and productivity.

For a deeper dive into how people analytics is changing HR, explore our blog People Analytics: A Parallel Universe.

Why does people analytics matter so much in 2025?

  1. It helps you see what’s really happening. People analytics provides an objective view of how your workforce is performing and how they feel. HR teams can spot trends early, identify risks, and make confident, data-driven decisions that align with business goals.  Data tells the real story, not just what people think is happening.
  2. It connects HR strategy with business performance. Understanding patterns in absence, turnover, or productivity helps leadership link people data to business results. It turns HR from an administrative function into a strategic partner. We unpack this in HR Analytics – More of Your Questions Answered.
  3. It empowers better decision-making at every level. When everyone from managers to executives has access to reliable data, performance reviews, recruitment, and workforce planning become smarter and fairer.
  4. It improves the employee experience. People analytics gives employees a voice through surveys and sentiment data,  revealing what drives engagement and satisfaction. Acting on these insights builds a happier, more productive culture.
  5. It prepares you for the future. Predictive analytics can highlight upcoming skills gaps and workforce changes, giving you time to act before problems arise.

What types of people analytics data should you collect?

Start with a blend of HR, payroll and performance data. Metrics such as retention rates, absence patterns, pay equity, engagement scores, and training outcomes provide a well-rounded view of your people. The key is ensuring your data is clean, consistent and ethically managed.

For guidance on what kind of data to focus on, check out Top 10 Questions Answered on HR Analytics.

How is people analytics changing HR in 2025?

In 2025, people analytics is becoming smarter, faster and more accessible. Cloud-based HR systems now offer AI-powered dashboards, real-time reporting and predictive insights that go beyond what’s happened, showing what’s likely to happen next.

We’re also seeing a stronger focus on data ethics and transparency, ensuring employees trust how their information is used. Meanwhile, integration across HR, payroll and finance is creating a unified picture of workforce and financial health.

Explore this theme in Data-Driven Dialogue: Continuing the Conversation for HR.

Primary benefits of people analytics for growing organisations

  1. Navigate rapid headcount changes with confidence. Scaling means hiring fast, sometimes doubling your team in months. People analytics helps you track whether new hires are integrating well, if your onboarding is effective at scale, and whether rapid growth is affecting team cohesion or performance.
  2. Identify and retain your scaling champions. As you grow, certain employees become critical to success; they train newcomers, maintain culture, and drive results. Analytics helps you spot these high-impact players early and create retention strategies before competitors do.
  3. Maintain culture and engagement during growth. What worked for 20 people rarely works for 200. People analytics reveals when engagement starts to dip, which teams feel disconnected, and where communication is breaking down, so you can adapt your culture intentionally rather than lose it accidentally.
  4. Align workforce costs with growth targets. Rapid hiring is expensive. People analytics connects headcount, compensation trends, and turnover costs directly to revenue forecasts, helping finance and HR make informed trade-offs about where to invest in talent.
  5. Build scalable HR infrastructure from the start. Growing organisations can’t afford manual reporting or gut-feel decisions. You can build analytics into your processes early, creating a foundation that scales with you rather than becoming a bottleneck.
  6. Stay compliant as complexity increases. More employees mean more locations, contracts, and regulations. Regular analytics reviews help you spot compliance risks (such as inconsistent pay practices or missing documentation) before they become audit issues.

Every data point tells a story, and finding the right insights can really help you attract, retain, and grow your talent. 

In conclusion

People analytics gives business leaders the clarity to make smarter, more human-centred decisions. It’s the key to building a sustainable, future-ready organisation, and with Phase 3’s expertise across HR, payroll and finance, you don’t have to navigate it alone.

If you’re ready to explore how people analytics can transform your company, get in touch with the team.

People Analytics FAQs

1. Why is people analytics important for businesses?

People analytics is crucial because it:

  • Provides objective insights into workforce performance and sentiment
  • Connects HR strategy directly to business outcomes
  • Enables data-driven decision-making instead of relying on gut instinct
  • Improves employee experience through targeted interventions
  • Helps predict and prepare for future workforce challenges
  • Reduces turnover and increases productivity through informed strategies

2. What types of data are used in people analytics?

Common people analytics data includes:

  • HR metrics: Retention rates, turnover, time-to-hire, employee demographics
  • Payroll data: Compensation trends, pay equity, overtime patterns
  • Performance data: Appraisal scores, goal achievement, productivity metrics
  • Engagement data: Survey results, sentiment analysis, feedback scores
  • Absence data: Sick leave patterns, absenteeism rates
  • Learning & development: Training completion, skills assessments, career progression

3. What tools or software do I need for people analytics?

Most organisations use:

  • HR Information Systems (HRIS) with built-in analytics capabilities
  • Payroll software that integrates with HR data
  • Business intelligence tools like Power BI, Tableau, or Looker
  • Specialised people analytics platforms that offer AI-powered insights
  • Survey and engagement tools for sentiment analysis

Phase 3 helps organisations integrate these systems to create a unified view of workforce and financial health.

4. Is people analytics only for large companies?

No! People analytics is valuable for organisations of all sizes. While large enterprises may have dedicated analytics teams, small and medium-sized businesses can benefit enormously from:

  • Cloud-based HR systems with built-in analytics dashboards
  • Simple metrics like turnover rates and absence patterns
  • Integrated HR and payroll solutions that automate reporting

Growing organisations especially benefit from people analytics as it provides the clarity needed to scale effectively.

5. How do I get started with people analytics?

Start by identifying the key business questions you want to answer — such as why turnover is high or what drives engagement. Audit your HR, payroll and performance data to see what’s available, and make sure it’s clean and consistent. Begin with simple metrics like retention or absence rates, use visual tools to share insights, and build a data-driven culture by involving leadership. Partnering with experts like Phase 3 can help you integrate the right systems and turn data into clear, actionable insight.

6. How does people analytics improve employee experience?

People analytics turns feedback into action. By analysing engagement surveys, sentiment data and pay or promotion trends, HR teams can uncover what really affects satisfaction and fairness. It can also predict burnout risks and help personalise development plans. Acting on these insights creates a more supportive, transparent and engaging workplace where people feel valued.

7. What is predictive analytics in HR?

Predictive analytics uses past data to forecast future outcomes — such as who might leave, what skills you’ll need next, or which actions could improve engagement. It helps HR teams anticipate change, address issues early and plan ahead with confidence.

James Proctor image
Written by : James Proctor

James is our Chief Operating Officer, leading the service delivery and operations for Phase 3.

Our Insights

Other blogs you may be interested in