Data insight provides both accessibility and proper visualization, including advanced visualization techniques that consider a variety of Big Data (i.e. graphs, geospatial, sensor, mobile, etc.) available from diverse domains.
The main challenge is to find an appropriate level of data visualization (level of detail and level of abstraction) and abstraction of representation without losing the richness of information, not at least in relation to collaborative learning potentials and targeting different stakeholder groups. Advanced technologies for Augmented Reality (AR) and Virtual Reality (VR) are adopted to address different senses (visual, audio, haptic) and design spaces (allocentric/egocentric spatial reasoning and action/reflection space).