Michael Lewis' "Moneyball" (2003) described the analytical, evidence-based, sabermetric approach to assembling a competitive baseball team. The book's central premise is that the collective wisdom of baseball insiders (from players to the front office) over the past century is subjective and often flawed. Statistics such as stolen bases and batting average, are relics of a 19th-century view of the game and the limited statistics of that time. New techniques allow the development of targeted data that far better reflects the contribution of each player. How are we now extending this to the Enterprise? Can we define new, more granular and relevant metrics for measuring and assessing people? How can we most effectively harness data and intelligence to support selection, team building and professional development? And what are the best metrics to capture Empathy?
Moderator: David Levin, Director, DL Associates, former CEO, McGraw-Hill Education
Guy Berger, Chief Economist, LinkedIn
Emily Glassberg-Sands, Head of Data Science, Director, Coursera
Laura I. Gomez, CEO, Atipica
Kevin Parker, Chairman & CEO, HireVue
Guru Sethupathy, Head of People Analytics, Capital One