Imposing order on the morass of people analytics: HR execs are being bombarded with sales pitches for people analytics that promise to improve every aspect of workforce management from recruiting to what HubSpot’s execs so charmingly called “graduation.” But how do you weave this rather bewildering assortment of digital tools together in a way that is aligned with and supports your talent and corporate strategies?
Jean Paul Isson and Jesse S. Harriot, respectively VP of business intelligence and predictive analytics and former chief knowledge officer at Monster Worldwide, take a good shot at answering that big-picture question in their new book, People Analytics in the Era of Big Data. The authors encapsulate their approach in a framework that organizes people analytics into 7 “pillars” that are broadly based on the responsibilities of the HR function: workforce planning; sourcing; acquisition/hiring; onboarding, culture fit, and engagement; performance assessment and development; churn and retention; and wellness, health, and safety. “The ultimate goal of this framework,” they write, “is to focus your organization’s attention on those areas that are keys to talent analytics success and will lead to greatest return on investment.”
As you might expect, a comprehensive overview of people analytics leads to a pretty thick and sometimes dense book. But the authors ground the pillars in practice using case studies and interviews. One of them describes how Société de Transport de Montréal, the city’s public transport agency, which serves 2.5 million riders per day, is implementing and using people analytics. It is featured in the excerpt below.