Data Source: the foundation for predictive tourism intelligence

HBenchmark integrates and analyses data from diverse sources to provide predictive insights. Thanks to our product D-Hub, the data is correlated with each other to generate reliable forecasts, combining historical information with real, anonymised and aggregated future data to support the strategic decisions of Destinations, Bodies, Consultants and Industry Operators.

Source de données

Our Data Ecosystem

Tourist spending in the area (Mastercard)
D-Hub collects data on tourists' real transactions, allowing for the measurement of economic value generated in the territory and an understanding of spending trends by category and period.
ISTAT tourist arrivals
Official data on tourist arrivals provided by ISTAT, integrated into HBenchmark to compare real demand with estimated flows and validate territorial forecasts.
Tourist cards
Analysis of tourist card usage data (subscriptions, promotional packages) to understand the attractiveness of combined services and optimise integrated offers.
Ski pass
Analysis of ski pass data, useful for evaluating the trend in tourist demand in ski resorts and integrating seasonal influx forecasts.
Museums and Parks Entry
Monitoring of cultural and natural flows through entry data, useful for visitor management and planning enhancement initiatives.
Exhibition and event attendance
Information on attendance at trade fairs and cultural or sporting events, integrated to assess economic impact and tourist participation.
Admission to attractions
Aggregated data on theme parks, special events, and local attractions to understand visitor preferences and improve tourism offerings.
Mobile phones
Anonymised analysis of mobile phone mobility data to understand tourist movements within a territory, highlighting flows, densities, and temporal trends.
Vehicle access
Monitoring of inbound and transit vehicles at strategic points within the territory, useful for traffic analysis and infrastructure planning.
Car parks
Public and private car park access data, integrated to measure tourist pressure and optimise urban and extra-urban mobility management.