Questo sito web utilizza cookie tecnici e, previo Suo consenso, cookie di profilazione, nostri e di terze parti. Chiudendo questo banner, scorrendo questa pagina o cliccando qualunque suo elemento acconsente all'uso dei cookie. Leggi la nostra Cookie Policy per esteso.OK

McKinsey, transforming into an analytics-driven insurance carrier

Analytics are nothing new for insurance carrier. “Advanced analytics” will be the key factor to deliver great success

26 Apr 2016

McKinsey paper focused on the adoption of advanced analytics among insurance carrier and its capability to renew nad change business and its lines and approach.

Much more focused on predictions compared to traditional business intelligence, advanced analytics include tools such as big data analytics, data mining, location intelligence, semantic and sentiment analysis, predictive analysis, visualisation, machine learning.

Some carriers, as specified in the paper, have already been building the so-called COE – center of excellence, with dedicated staff focused on advanced analytics, experiencing data science for risk and products modeling. Such an experience can be strengthened and extended, transforming into an analytics-driven insurance carrier able to capture an unrivaled competitive advantage

Data Strategy: quali sono le 3 fasi principali del processo di relazione con il cliente?
Big Data

According to McKinsey such a change can be represented as a four-phase journey involving several companies functions, namely CEO and top management

Click here for the entire document.

Related news