Page 171 - Reference framework for integrated management of an SSC - A U4SSC deliverable on city platforms

The destination interaction vector will be the dominant one, considering the functionalities required
for the main driving element, the destination, and should integrate the marketing and sales vector
as an inherent part of the initiative.

Once all the planned processes of the Smart Destination Platform and the deployment of these
capabilities in the city and tourist offer have been activated, the largest exercise of data acquisition
on the tourism system will begin. These data will be reliable, stable and updated from the digital
and physical dimensions covering all stages of the travel cycle, allowing the analysis and creation
of the necessary time series to activate AI applications.

In this sense, data governance becomes a key element for the success of the initiative. Therefore, it
will be necessary to define a data governance model capable of managing the data that will be fed
into it from the different existing systems and from the applications that are part of it, guaranteeing
its correct use, storage and exploitation.

The development of the applications from where these data come is possible thanks to the
combination of some enabling technologies like artificial intelligence, machine learning, natural
language processing, Blockchain, Semantics, Open Data, Big Data, Internet of Things, Social
Network Analytics, and Cloud Services.

The latter of these acquires a special importance, since it not only allows cities to face new market
challenges in a more flexible and agile way, but also eliminates the geographical barriers for
the deployment of solutions, so maximizing implementation speed. Moreover, the Platform is
conceptualized as a service mode platform. Therefore, it will be deployed in a cloud that guarantees
high availability of the service and complies with the national security scheme for clouds. This
service deployment strategy will allow cities to join the initiative in a simple and controlled way
that facilitates the adoption of the solution by a large number of them.

The characterization of this cloud should support a global platform to be deployed in a SaaS
mode, allowing the establishment of the foundation upon which all cities reside; and, on the PaaS
Platform, the hosting of the different applications of this initiative as SaaS solutions that cities could
consume directly. In this sense, all applications will be deployed and executed on the Platform’s
cloud architecture following a DevOps methodology. This model would allow an efficient execution
of the services under the same data container, always instantiated to comply with the privacy of
each destination, taking advantage of a core technology for all of them.

At the same technological level, the Platform should also be designed under a sensor architecture
that allows its extension to address IoT use cases, supporting hybrid Cloud-Edge models. This
hybrid Cloud-Edge strategy to process data close to where it is generated will allow: “real-time”
IT/OT convergence, device orchestration and monitoring, hardware manufacturer independence,
proactive control of the installed base, end-to-end security, and so on.

In order to provide the initiative with real city data, it is proposed that consideration be given to
the deployment of a sensor base to establish the groundwork for the transformation of the city.

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