Improving Policy and Tourism Planning with Smart Data Integration

In a recent work (Garau et al. 2024), the foundations are laid for an effective interaction between traditional information and data from unstructured sources. The paper emphasizes, within the context of public policy evaluation, the need to organize information according to the SIS scheme and to use the ADSS as a control panel to verify the coherence of signals from various subsystems. Specifically, in the perspective of enhancing unstructured data or more generally complex data, it is suggested to use the electronic invoice exchange as an example of advanced monitoring, with characteristics of territorial granularity and temporal timeliness. In the specific context of tourism, it is proposed to use both structured and unstructured sources that collect tourists' feedback regarding their stays, specifically Channel managers (CM) and Online Travel Agencies (OTAs). The use of such information willenable the profiling of non-seasonal tourists, a segment of particular interest both from the private side (for adapting the offer) and from the public side, which, through this activity, could decide whether and how to invest in deseasoning. This new function, managed through ADSS (prediction of tourist flows by type of tourism) will then be cross-referenced with the macroeconomic subsystem, providing estimates of sustainable tourists derived from the GarauEl Meligimodel (2021). This way, it would be possible to make the interaction between traditional tools of macroeconomics and the opportunities offered by the intelligent processing of data effective, as the data would be valued for its dual utility –for the private sector as a tool toadapt the offer and for the public sector to plan and stimulate the evolution of demand.