What is People Analytics?

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A predictive analytics platform for finding the best employees

Know how predictive analytics helps you find the right people for the right job and increase employee productivity.

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People Analytics, or as I like to call it, the “secret sauce” behind effective HR strategies, is all about using data to make smarter decisions when it comes to managing your workforce. Imagine having a crystal ball that helps you predict your employees’ performance, behavior, and even their likelihood of leaving the company. Sounds pretty cool. That’s precisely what people analytics does—by using employee data, HR departments can gain insights into everything from hiring trends to retention issues.

People analytics is transforming HR from a more subjective, gut-feeling-based approach to a data-driven powerhouse. Think of it as shifting from trying to guess what will work to knowing what works. How can we use GPS to get directions? Well, people analytics is like the GPS for HR—it shows you the most effective route to success.

Take, for instance, a company like Google. They’ve been pioneers in using data to improve everything from recruitment (their famous “Hire for Google” initiative) to employee development and retention. They don’t just rely on resumes—they track everything from how candidates perform in interviews to what skills contribute to long-term success in the company.

People analytics is transforming HR from a more subjective, gut-feeling-based approach to a data-driven powerhouse. Think of it as shifting from trying to guess what will work to knowing what works. How can we use GPS to get directions? Well, people analytics is like the GPS for HR—it shows you the most effective route to success.

Take, for instance, a company like Google. They’ve been pioneers in using data to improve everything from recruitment (their famous “Hire for Google” initiative) to employee development and retention. They don’t just rely on resumes—they track everything from how candidates perform in interviews to what skills contribute to long-term success in the company.

Remember the old days of hiring when decisions were based on gut feeling or intuition? Well, it’s time to leave that behind. Data-driven decision-making in HR allows for better, more accurate predictions and can really improve employee experience. Instead of choosing the best candidate based solely on a resume, HR can use predictive analytics and people analytics tools to make smarter hiring decisions—think about personality, skills, and cultural fit.

Your favorite streaming partner, Netflix— uses predictive analytics to figure out what kind of content will resonate with users based on their previous behavior. HR and people analytics can use the same approach to predict whether an employee is a good fit or if they’re about to leave.

Alright, time to get into the fun stuff—metrics! You might hate numbers, but these are the numbers that HR departments track to measure success, predict future outcomes, and guide decisions.

Employee Engagement: Are people showing up excited for work, or are they just counting the hours until happy hour? People analytics metrics can help identify potential issues before they become problems. Here are a few examples:

Turnover Rate: This one’s self-explanatory. If people are leaving faster than you can hire them, it might be time for some analysis.

Absenteeism Rate: Too many sick days? It might be a red flag for burnout or a workplace culture issue.

Time to Fill: The amount of time it takes to hire someone. Less time is always the goal, but only if you’re not compromising quality!

Psst! You do not want to do this over, either(for fear of being called a micro-manager). Be diligent about the metrics you want to monitor.

HR analytics metrics focus on KPIs that directly relate to HR processes, such as: 

Cost per Hire: The total cost incurred by the organization to hire a new employee. 

Training Effectiveness: Measures the impact of employee training programs on performance and career growth.

Performance Evaluation Scores: Employee performance ratings can be analyzed to identify trends in high and low performers. 

Retention Rate: Indicates how successfully an organization retains its talent, especially in key roles. These HR-specific metrics help HR departments make more effective and strategic decisions.

Without the right HR analytics tools, people analytics is like trying to build a bridge without a blueprint. The key for any HR analytics tool to be called successful is how well one is able to manage and analyze the workforce data efficiently. Getting the right data from a tool is essential as opposed to getting any random data. Tell me, what use is it if you have tons of unstructured data that you cannot use anywhere? People Analytics software should help you make sense of the numbers and translate them into action.

Here are the Best People Analytics Tools out there that can make your life easier:

Workday: A popular choice of People Analytics Software for integrating HR functions like payroll, talent management, and workforce planning. It’s like the Swiss Army knife of HR.

Tableau: Known for its data visualization features, it helps HR departments turn boring numbers into understandable insights.

ADP Workforce Now: This is a go-to for managing everything from payroll to HR data analytics. Think of it as your HR control center.

And don’t forget—AI-driven tools are a game changer. AI people analytics is where things get next-level, using machine learning to predict employee behavior and improve decision-making. It’s like having your own personal assistant but without the coffee runs.

People analytics isn’t just one-size-fits-all. There are a few different types that can help in various aspects of HR.

AI People analytics or Cognitive analytics uses AI and machine learning to analyze data, recognize patterns, and even make decisions autonomously. Sounds like a robot HR assistant? Yeah, but it not only predicts the future but suggests actionable steps based on all available data.

How can using cognitive analytics benefit you? Let us take into account any workplace changes or policy changes that you have made recently. You would want to know how these impact employee morale. The system doesn’t just predict; it can also offer a customized solution for each employee based on their preferences and work history. AI people analytics can truly revolutionize how you understand and support your workforce.

Descriptive analytics starts with the what of any situation. Historical data is analyzed to understand trends and performance. The best example is – why specific posts/videos go viral. Think of this the next time you scroll through your social media feed. In HR, descriptive analytics helps you understand what’s going on right now with your workforce.

Now, prescriptive analytics goes beyond what happened to help answer what should happen next. It uses predictive models to suggest solutions and actions. 

Here’s a simple guide to building robust strategies for your organization:

Set Clear Objectives: Most of the time, it is unclear strategies that make teams work in silos. What is it that you want to achieve? Can it be micro-sliced for better understanding?

Collect the Right Data: You will be getting data from multiple sources-  from your HRIS, surveys, performance reviews, and more. The more data, the better.

Analyze and Interpret: Use your people analytics tools to pull out meaningful insights.

Develop Actionable Insights: This is where you turn data into action—whether it’s revising your hiring process or improving team dynamics.

Monitor and Improve: Like anything, it’s a continuous process. Don’t just set it and forget it.

For people analytics to work, you need good data. And not just any data—relevant data. Common sources include:

HRIS (Human Resource Information Systems): All your employees’ info, from their start date to salary.

ATS (Applicant Tracking Systems): Data on job candidates and how they move through the hiring process.

Employee Surveys: Get to know the pulse on employee satisfaction.

Performance Reviews: Regular evaluations that help identify top performers and potential stars. What about people who feel they are unsatisfied with the ratings given to them? What are the scenarios where you might end up losing talent?

Time for the big one: So, what do you think about AI in People Analytics? It is a no-brainer that the future is all about using artificial intelligence to gain insights that were once impossible to find. As an organization, you should leverage your practices with advanced people analytics tools and get predictive data on who’s likely to leave, who’s on the rise, and even what kind of work culture will boost productivity. Trust me; it is essential to have this data-driven information for the hiring team.

Being able to predict future employee needs with an AI People analytics tool and analyzing employee feedback in real-time to spot issues before they blow up helps you mitigate risks and ensure that relationships with stakeholders are not hampered.

Choosing the best people analytics tool is like choosing a new phone. With the numerous models available in the market today, you don’t want just any phone—you want one that suits your needs. You might be able to find the latest phone on the market today. But it would be a pity if you settled for something less. Likewise, if you need robust data visualization (Tableau) or AI-driven insights (such as IBM Watson Analytics), make sure the tool aligns with your HR goals. The right tool should help you make better decisions without giving you a headache.

People analytics is not just a buzzword—it’s a game changer in HR. By embracing data and the right HR analytics tools, HR professionals can make smarter, more informed decisions that drive employee engagement, improve hiring processes, and reduce turnover. And as AI continues to evolve, people analytics software will only get more powerful. So, what’s stopping you? Dive into the world of people analytics today!

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