Date Time Swiss statistical systems could be enhanced by big data Using anonymized policyholder data from Swiss insurance company La Mobilière, EPFL scientists were able to predict a number of socio-economic indicators in 170 Swiss towns. This innovative approach could help increase the granularity and applicability of official statistics. A huge volume of digital data has been harvested, stored and shared in the last few years – from sources such as social media, geolocation systems and aerial images from drones and satellites – giving researchers many new ways to study information and ...