In this example, Hyperion Visual Explorer has been used to present the spreadsheet data as a scatter plot graph. This graph illustrates a number of views, or measures, into the original data, such as type of soft drink sold, where they were sold, what the net dollar sales were and finally, how much was spent on marketing each drink within each region. Using a graph to display such multi-dimensional presents a number of challenges as graphs lack the ability to easily represent data spatially. By making the data location aware, Localligence is able to display the same data on a map utilizing the strengths of graphs while at the same time providing greater clarity and comprehension through the map. From this view managers and analysts can quickly and easily see which regions are performing best or worst, and then drill down (zoom in) into the map to get even more granular information, such as sales performance at the state level, city level or even store.