Recently, Milliman challenged its actuaries and data scientists to use the National Highway Traffic Safety Administration’s publicly available database on crash data to model which highway safety factors have the strongest association to crashes that involve one or multiple injuries. Participants, including some from Eckler, Milliman’s associate firm in Canada, used the company’s internal predictive analytics software, SOLYS™, to create four detailed reports, each containing quite different – but valuable – findings.
Predictors of automobile accident injuries with SOLYS, a collaborative analytics platform
By Gene Dan, Olivia Esterlis, Tony Huang, Ora Suslovich, Cindy Yang and Yoel Zuman
Predictive analytics uncovers most influential factors behind car accidents
By William Torres, Tim Vosicky and Jill Rosenblum
Driving midday in January wearing your seatbelt
By Liz Young and Kayla Spitzner
By Dane Grand Maison (Eckler) and Zeyue Niu