Centro de Documentacion de Fundación MAPFRE - Model behaviour for insurance risk prediction : destroying the myth

Publicación: London : Insurance Post, 2019Notas: Sumario: In a highly competitive market, it is important that insurers maximise their data models to create more intelligible insights. Only then, argues Alan O'Loughlin, head of analytics and statistical modelling at Lexis Nexis Risk Solutions, will they gain a strategic advantage over competitorsRegistros relacionados: En: Blog. Insurance post. - London : Infopro Digital Insurance Information , 2016-2022Materia / lugar / evento: Gerencia de riesgos Predicciones Modelos predictivos Empresas de seguros Comportamiento humano Otras clasificaciones: 7