Fabrizio Mazzone
Design and Development of Fraud Detecting Tools and Scenarios for the Insurance Market.
Rel. Maurizio Morisio. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021
Abstract
The discourse with the insurance anti-fraud units and the continuous attention to the needs of the client have been placed as central in the development model of Shift, in order to analyze and improve the results produced by company's fraud detection system. To best implement this business strategy and respond naturally to client needs, multiple teams of data scientists are part of the Shift organization and interact in a native way with the insurance company's anti-fraud team to understand its needs and guide tool development. In this perspective, the results of the consulting activity and the improvement on the anti-fraud tool will be described, based on discussions of the operational needs and a bi-weekly analysis of the performances.
For the implementation of the planned actions, it will be essential to understand the structure of the project and the different modules that compose it; as well as the understanding of the complex relational data schema of the company, core of the Shift’s second-generation detection system, whose details will be described in a special section of this work
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Informazioni aggiuntive
Corso di laurea
Classe di laurea
Ente in cotutela
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
