UMAMI: A Public-private Innovation Project under Innovation Fond Denmark for Developing a Tourist Data Analytic Platform

Activity: Talk or presentationLecture and oral contribution


This ongoing public-private innovation project is developing an advanced quantified qualitative method that integrates unsupervised machine learning tools, research on mental representation of destinations and a multiplicity of marketing theories to analyze segment-based characteristics of personal value priorities, attitudes, and behaviours of tourists. Our case study, which involves the major governmental tourism stakeholders, emphasizes the importance of developing a user-friendly data analytic pipeline that carefully considers users’ data collection procedures, easy access to the back-office computation algorithms, an interactive output data analysis workflow, and its visualization.
Period19 Oct 2018
Event titleCross-national Seminar: Branding Nations, Products, and Sensory Experiences: How is it all Perceived by Customers and Tourists?
Event typeSeminar
LocationLimassol, Cyprus