Lifelogging is a form of pervasive computing, which is capable of recording a catalogue of the totality of an individual’s experiences. Lifelogging data can take many forms from daily step counts, sleep monitoring and heart rate data to location based information to video/image diaries from cameras embedded into glasses or clothing or worn. From the perspective of behavioural change, lifelog data is an invaluable resource that can contain many potential insights into a person's patterns and experiences. One major issue with Lifelogging is the sheer volume of user generated data and analysing this wealth of data in a coherent and efficient manner can become increasingly difficult as the datasets become larger and more varied. Through utilising data visualisation techniques in a dashboard interface, or similar, one can make high-level analyses and summarisations of this data much more achievable. This visually intuitive approach to disseminating rich datasets alongside automated and algorithmic machine-learning techniques can lead to valuable user insights and the potential to significantly promote behavioural change.