One of the growing trends in the field of BI is the increasing acceptance and recognition of Visualization as a form of analytics. Considered as an interesting combination of multi-dimensional discipline of art, science and technology, viz derives its ability to communicate intuitive insights by leveraging human visual and cognitive abilities. Traditional reports and dashboards are replaced with interactive visualizations that are designed with a purpose. With the increase in applicability of visualization, comes the responsibility of designing it to meet its objective. Designing complex visualizations require a keen sense of understanding the viz’s core objectives, the dynamics of “when/what and where” questions being answered, the delicate balance between intuitiveness of the visualization and the visual appeal of the same. Imbalance in any one of the core parameters can lead to a visualization that is confusing, misleading and non-intepretable.