Data innovation is the use of new or non-traditional data sources and methods to gain a more nuanced understanding of development challenges. Data innovation often combines non-traditional with traditional sources of data, such as household surveys, to re-frame issues and shed new light on seemingly intractable problems.
You get complete data everywhere, customers feedback, data from UGC sources such as social networks, geo-location aware software run by the users, various sensors of the smart infrastructure and then apply AI and Data Analysis in order to draw valuable conclusions. This is very hot particular in hospitality business and tourism, where AirBnB, Booking, and many more actively collect analyse and monetise the data.
Airat Khasianov, I do agree tourism is a data-intensive driven industry and data is easily obtained, and yes, data analysis and valuable conclusions can be made. Thanks
Dr. Leonidas A. Papakonstantinidis, this is very good information hat can be seen from different point of views. I know tourism is a data-intensive and data-driven industry, but how would you relate data driven innovation to nature tourism?
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