People analytics, also known as HR analytics, is one of HR’s hottest hot topics. You’re here so you know that, but you’re probably still mostly talk and little do. While industries like marketing and tech jumped on the analytics bandwagon years ago, HR has been remarkably slow on the uptake.
That’s changing. HR leaders are learning how data can help identify and solve their people problems, positioning HR as the strategic business partner of the future.
Human Resources meets Machine Learning, and our Tazio on People Analytics series will teach you everything you need to know. Throughout the series we’ll give you a complete overview of the people and HR analytics landscape, including:
- A Roadmap to People Analytics Success
- Analytics Methodologies and How They Work
- Business Benefits of People Analytics
- Case studies: Who’s Doing People Analytics Well?
- Roadblocks to Your Analytics Success
- Your HR Analytics Problems; Solved
- What Does the HR Leader of the Future Look Like?
But first things first… This is part 1 so let’s start with an overview.
What is People Analytics?
People analytics refers to the use of data to provide insight about people. It’s about analysing data about your workforce to get actionable insights that can help your business perform better.
Why Should You Care?
Businesses that effectively leverage these analytics will have better control over their current and future workforce. Those businesses will make decisions that are statistically more likely to be commercially impactful. As a result, they’ll be more competitive, more profitable and better placed to grow.
How is People Analytics Different from What You Already Do?
You’d be forgiven for thinking that people / HR analytics is just a ‘hot ticket’ term for something HR has been doing for years. It’s not.
If you collect data primarily around metrics such as time-to-hire or headcount, you likely fall into this category. This operational reporting is reactive, and is doing little to influence HR decision-making, let alone business decision-making.
Maybe you go a step further than collection, taking those metrics and looking at trends, setting benchmarks and supplying reports. In that case, you’re stepping into the advanced reporting zone. The data you collect starts to be meaningful – but you’re still not fully embracing analytics.
Step up again, and you’re using advanced analytics. You have a system in place to analyse the data you collect, using that insight to identify and solve business problems. HR and business start to come together, offering an understanding of how people issues contribute to wider business success.
Step it up one last time and this is where people / HR analytics sits today, at the intersection of data and predictive learning. In layman’s terms, predictive analytics allow us to look at what we know in order to predict likely future scenarios.
Making the Qualitative, Quantitative
Operational reporting aside, HR has traditionally been a very qualitative industry. Candidates are often selected based on thinly disguised ‘gut feel’. Problems such as employee attrition are often identified late in the day, and solved with Band-Aid solutions like performance bonuses or a salary raise.
With people / HR analytics, that stands to change.
Instead of guessing (however intelligent that guess is) who’ll be a high performer, you’ll have data to guide that decision. You’ll be able to test expensive initiatives before you waste money on them, and redirect your efforts where they’re needed.
People Analytics in Action
The above should leave you in little doubt that it’s time to get on board with people analytics, and a little clearer about how you’ll do that. The benefits are clear, with a data-led approach giving us depth of insight that HR has never previously had.
In the near future, HR decisions will be as much machine-led as human-led. The HR department will be less reactive and more proactive, and HR professionals will take a less operational and much more strategic role as senior business leaders. That’s the potential of people / HR analytics, and savvy professionals are embracing the trend now.