People Analytics: From Data to Meaningful Insights

Building a people analytics function from scratch means deciding what to track before anything else. The most important word in the whole exercise is "meaningful" — plenty of organizations track everything and use none of it. A working framework starts with a talent lifecycle view: employment brand and career site engagement at the front end, through hiring, performance, and retention, all the way to exit.

A single analyst using Power BI can stand up an entire reporting structure in about a year, pulling data from an HRIS, a career site platform, and outside sources like Glassdoor. Sentiment scores can move meaningfully in under a year by asking current employees — at anniversaries or promotions — to leave feedback, rather than only hearing from people who already left angry.

Key elements of a working setup include:

• An enterprise talent dashboard covering hires, internal fills, time to fill, attrition, and career site engagement, each tied to a KPI threshold rather than reported for its own sake
• Deeper dashboards on underrepresented hiring and retention, broken out by business unit, tracked against an organization-wide hiring goal
• A quarterly insights process that flags problem areas in red or yellow, assigns next steps, and pulls together cross-functional teams — talent acquisition, HR business partners, and the business itself — to move the numbers
• Separate dashboards for each center of excellence, including a recruiting and workforce planning board that tracks third-party recruiting spend and executive search costs
• Tracking around a neuroscience-based training program, measuring whether behavior change actually shows up in how people work together

None of this works if dashboards just sit unread. A recurring problem is that business leaders and even HR business partners often don't treat data literacy as part of the job — they'll admire a new dashboard and then never ask a follow-up question. Closing that gap means pushing HR business partners to become the kind of strategic advisors who use data to challenge hiring managers, not just report numbers up the chain. Asking better questions of the data — why turnover is high in one specific role, what a realistic job preview would change — matters more than adding more metrics to the deck.