Tool that collects, filters, analyses and represents all the tourist information captured from online tourist media and portals (Big Data), market research in the Tourism area, information from sensors and totem displays used to determine the tourist flow of a specific tourist destination, among other aspects.

The methodology used in this platform is Big Data for processing large volumes of data, automated models based on machine learning mathematical algorithms, such as regression algorithms, based on neural networks, cluster analysis, decision tree, on Bayesian networks and on PCA (Principal Component Analysis) – for a structural analysis and various predictions.

Finally, the design of Dynamic Reports in Microsoft Power BI, to show all the data from both the media specified and the algorithms used.

All the functionalities are in real time:

• Analysis of the tourist offerings and performance.
• Analysis of occupancy in tourist establishments, and progress.
• Analysis of bookings managed by categories and number of occupied and available places, and progress.
• Analysis of the weekly tourist demand by tourist segment, and progress.
• Amount of tourist concentration, and progress.
• Analysis of traveller opinions by holiday period, and progress.
• Monthly analysis of the employability of the tourism sector, and progress.
• Comparison of searches and arrivals according to transport, and progress.
• Comparison of searches for housing and tourist bookings, and progress.
• Comparison of searches for tourist places/segments, real tourist concentration, reservations, and progress.
• Tourism forecast, and progress.