How Mount Sinai operationalized analytics to drive a more decision-centric design for risk models around population health

Mount Sinai Health has moved up the analytics maturity chart to deliver business value in new risk models around population health. Mike Berger explains how Mount Sinai designed a team, built a data factory, and generates the analytics to drive decision-centricity and explores examples of mixing Tableau, SQL, Hive, APIs, Python, and R into a cohesive ecosystem supported by a data factory.