• analysis
• analytics
• culture
• data
• environment
• mining

Various companies and organisations that are part of the cultural industry are increasingly insistent on collecting, analysing and using data from their activities in order to improve their awareness of the data culture.
Devising analytical metrics to measure the impact on the local environment is essential to attract external financiers, especially when companies and cultural organisations are managed or linked within public administrations.
The purpose of this work is to show how data can be collected, modified and analysed through analytical techniques and subsequently show how it is possible to find a modus operandi that can be scaled to different needs.
In order to provide a general result, two different case studies were considered: the Internet Festival event, based in the city of Pisa, and the Estonian National Museum in Tartu. For both use cases, internal organisation data (e.g. budget invested, tickets sold, visitor attendance and technical data) and external data (e.g. hotel attendance, car traffic and web traffic) were collected .
External data and internal data were first analysed independently in order to find statistical trend indices and subsequently were compared in order to evaluate the impact of the use cases on their local environments.