The Internet of Thing generates data at an unprecedented pace. This is due to the ever increasing number of connected devices being deployed as well as their volubility. There's a huge potential in exploiting this mass of data. In particular collecting, storing this data over time, and analyzing the resulting deposit offline, enables the extraction of information and discovering of patterns, which can then be transformed into executable structures and new services. This approach can apply to a range of application domains including Smart Home, Smart City, Smart Energy services. In this paper we show how Data Analytics (DA) can leverage such data deposit and produce insights which can then be transformed into enhanced services that will bring the user experience to the next level. Our approach has been assessed in the domain of the Smart Home with real data provided by Orange Homelive solution through the implementation of the MACLEOD system.