Square Predict in the Top 15 Big Data projects
Square Predict, a Big Data predictive analysis platform for the insurance sector developed with the support of VISEO, was selected amongst the Top 15 Big Data projects of 2015 by website Le Journal du Net, published on June 4th, 2015.
Square Predict is a project led with several partners, especially one major name in the insurance sector, three research labs -LIPN, LIPADE and LARIS-, two editors and one expert in private life protection.
Crossed data for an estimation in real time
The aim of the project is to build a SaaS platform enabling insurance companies to make predictions from insured’s data, crossed with the data available on the Internet (social networks, semantic web, open data).
Square Predict aims to resolves the following issues:
- Estimation in real time of the impact of the damages caused by an important climatic event;
- Forecast of the claim rate fire/damages according to accessible public data and the insured’s history;
- Detection of the apparition of global events (such as the flu) through the analysis of weak signals.