Smart City - smart data? Towards a holistic system of insight for data analytics in smart cities

Abstract

This paper discusses the potential insights of aggregated data and visualizations for decisionmaking. Our thesis is that the data is there but not always complete nor used as well as it should be. We argue for a "system of insight," where data from various sources are analyzed using machine learning and artificial intelligence, identifying deeper correlations between data from multiple sources. Such correlations would give decision-makers richer insights and a better understanding of relevant factors. To illustrate our case, we apply data from Norwegian municipalities to illustrate the potential of a holistic approach to data.