Big-data analytics en seguros

Alemar E. Padilla-Barreto; Montserrat Guillen; Catalina Bolancé

doi:10.26360/2017_1

Authors

Alemar E. Padilla-Barreto Universidad de Barcelona (España) y Zurich España
Montserrat Guillen Universidad de Barcelona (España)
Catalina Bolancé Universidad de Barcelona (ESpaña)

DOI:

https://doi.org/10.26360/2017_1

Keywords:

Big data, insurance, modelling, data analytics, lines of business, ROC curve

Abstract

The big-data revolution has impacted the insurance industry more than expected, to become a paradigmatic example of what the new digital economy is. The large amount of data and predictive modeling in insurance represents a turning point and a golden opportunity to channel the theory of risk to the prediction of losses. The changes are radical and demand deep transformations at the organizational level. In this paper we present some reflections on what the incorporation of Analytics implies in an insurance company and we show its inherent complexity through a case of success.

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