Integration of Business Intelligence Systems with Spatial Components for the Presentation of Tourist Movement
In Bosnia and Herzegovina, there is a significant lack of research combining Artificial Intelligence (AI), Business Intelligence (BI), and geospatial analysis in tourism planning. This paper aims to fill that gap by demonstrating the integration of these technologies applied to spatial data in order to analyze tourist movement patterns. Spatial data processing was performed using QGIS (Quantum Geographic Information System), an open-source Geographic Information System (GIS), while Python was used to apply clustering algorithms on the data points. The resulting insights are visualized clearly through Power BI dashboards for better interpretability. This approach allows for understanding the relationship between tourists' routes and the proximity of hotels and museums. By combining AI, BI, and spatial data, more effective tourism planning can be achieved, helping to maintain well-organized and sustainable destinations.