Olivetti, digital hub of the TIM Group, launches its “Digital Giro d’Italia” project aimed at following the 2017 edition of this popular sports event with its Big Data platform to obtain in-depth analyses of the various stages and follow discussions generated in social networks relating to the race – known also as the Corsa Rosa.
From today, data, statistics and news items are provided on the Olivetti site (www.olivetti.com), in the dedicated section, indicating variations in public presence along the most important tracts of each stage – Start Line, race route and Finish Line - the objective being to assess the impact of the race on the local area. The analysis will also focus on digital aspects of the Giro d’Italia monitoring social networks to discover the main themes of conversation circling on the web.
Data will be updated by 20.00 each day providing the first bulletins regarding public support; this will then be followed by detailed data for each stage allowing comparisons of public turnout to be made with previous days or the previous week, and socio-demographic information obtained on the presence of Italian mobile users and the nationalities of foreigners present. At the same time, it will be possible to analyse conversations and the principal keywords, hashtags and emoji used on the social media.
The information collected will therefore populate the platform on a daily basis synthetically represented in graphic form, providing in-depth analyses of, for example, the stage with the highest public participation, the most significant increase in public participation, or the highest number of foreigners. For each single stage the hourly trend will also be provided comparing average public presence.
On the online site, data and summary reports for the first three stages are already available.
Analysis of the information generated by the traffic on the TIM mobile network - provided by the City Forecast service – allows local phenomena to be monitored while operating fully within legal frameworks and in observance of privacy laws. Of special interest is the possibility of estimating population density in a particular area and monitoring flows, in order to optimise planning and control of regional, urban, commercial and transportation aspects, and foresee and manage any potentially critical issues in a timely way.