In the age of big data, accessing information, collating them and of all making sense out of them has become challenging. Interactive Information Explorer (IIE) attempts to bridge the gap between human cognitive limitation and deciphering/accessing big data. It provides a structural model to access data, not limiting to the current trends of visualization and summarisation that prevails in the information design-sphere. IIE provides a minimal depth UI framework through which one can access data which invokes users to explore a particular data set. During the process of ‘exploring’, users picked up subtle insights revealing patterns and establish knowledge about the data set which otherwise would’ve been hard to notice or understood. The framework is designed to handle different varieties of data-set in an attempt to universally establish a generic structure to access information and data. In short, IIE may be roughly compared as a more insightful version of the Windows Explorer or Mac Finder