The smart city platforms can serve as a key element for the effective implementation of the measures needed to achieve the objectives.
Digital transformation represents the set of innovations that change the reality of public administration employees and of the cities themselves and their citizens. For this to happen, all the actors in this digital transformation must understand it, and know how to adapt and see these technologies as allied tools and not as hostile elements.
The digital transformation supported by an incremental deployment of digital transformation platforms is Smart City in the different city verticals, can and must become a key element to achieve the goals proposed by the Urban Agendas 2030, being an ecosystem of solutions and standards that support and substantiate any Strategic Plan developed around the SDGs, from the Vision, Mission, Values, Action Plans, objectives, indicators, etc.
From this perspective, a smart city platform should be aligned from its initial implementation with the 17 Sustainable Development Goals of the 2030 Agenda.
Therefore, a Smart City Platform should provide a technological ecosystem capable of supporting the Urban Agendas 2030, being able to integrate the information generated by the different city initiatives aimed at achieving improvements in any of the SDGs and their associated targets.
This requires clear strategic and operational objectives, with defined and easily automatable metrics and indicators, and appropriate dashboards to provide the knowledge necessary for appropriate, proportionate and, above all, data-driven decision making.
IOT helps in the integration of continuous improvement, the essence of which is that if you want to improve a parameter magnitude you have to measure it first, i.e. you cannot improve what you cannot measure.
The availability of a Smart City with the capacity to implement this model for generating information on the different service verticals across the city, optimising decision-making thanks to the exploitation of the data collected and analysed by means of cutting-edge solutions: Artificial Intelligence, Predictive Analytics, Big Data and Big Data social, BI, ML, etc.