IULM and H-Benchmark, together for tourism and hospitality development
The collaboration between IULM and H-Benchmark, the online hospitality data intelligence platform, is underway. The aim is to carry out academic research activities on tourism, hospitality management and destination management.
IULM University has started a collaboration with H-Benchmark, the online hospitality data intelligence platform that aggregates data from the management data (PMS) of individual hotels and returns in real time, and in an anonymous and aggregated way, information on future trends that are crucial to define the commercial and marketing strategies of the individual structures and destinations to which they belong.
This is a unique web-based collaborative tool that enables the acquisition, aggregation and benchmarking of a wide range of performance indicators for the hospitality industry.
"The availability of timely and reliable data for decision making has always been a critical issue for the tourism industry. Today, the ongoing transformation makes this need even more urgent. The collaboration with H-Benchmark will help us to strengthen our research and training activities on the relationship between strategies and performance in tourism, at the service of businesses and institutions in the sector," stresses Professor Manuela Decarlo.
The future goal is precisely to use the unique data analysis methodologies offered by H-Benchmark so that IULM - and in particular the students enrolled in the Master's Degree in Hospitality and Tourism Management and the MITH (Master in International Tourism and Hospitality) - can implement them to carry out academic research activities on tourism, hospitality management and destination management consistent with the respective aims of the parts involved.
"The collaboration with IULM - comments Francesco Traverso, CEO of H-Benchmark - thanks to which models of analysis with scientific value will rise, comes at a historical moment in which the planning and strategies of the tourism sector cannot ignore the verification of results for which the availability of timely, real and immediate data is of fundamental importance"
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