MAP20190001915 Model behaviour for insurance risk prediction : destroying the myth / Insurance Post. — London : Insurance Post, 2019 En: Blog. Insurance post. - London : Infopro Digital Insurance Information , 2016-2022 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 competitors 1. Gerencia de riesgos . 2. Predicciones . 3. Modelos predictivos . 4. Empresas de seguros . 5. Comportamiento humano . I. Title.