Case Study: Baltic Sea Tourism Center turns hundreds of signals into a Tourism Trend Radar with FIBRES

Going from hundreds of signals to a tourism trend radar

The Baltic Sea Tourism Center, a public sector organization, faced the challenge of identifying relevant tourism trends from a vast amount of global information. They commissioned a research team to tackle this, and Professor Björn Jacobsen knew from a prior project that the vendor FIBRES and its foresight tool were needed to structure and analyze the overwhelming volume of unstructured data.

The solution implemented by FIBRES enabled the team to asynchronously collect data points and use the tool's features to tag, link, and cluster signals into identifiable trends, a process aided by AI for pattern recognition. Using FIBRES, the team successfully created a digestible and actionable Tourism Trend Radar report, transforming hundreds of signals into a clear strategic overview for the Baltic Sea Tourism Center and its stakeholders without the need for a massive manual analysis effort.

Baltic Sea Tourism Center

Björn P. Jacobsen

Professor