Allows for quick comparison of two measures to see whether there is a relationship between the two and a regression line. We also explain to the user when they are applying the analytics what does it mean in layman's terms.
Dragging a geographic category will render a visualization that shows a map with bubbles for each category value. The map will allow the user to zoom and pan and will automatically adjust based on the number of bubbles and geographic information in the data
Users can drag and drop any combination of categories and measure and autocharting will show the best possible visual based on what is given. When cardinality is high we provide an overview bar below the chart to allow the user to see the whole chart in the overview and be zoomed into the important area.
@Beth, I like the post and am glad to see that some folks in the insurance industry are looking forward at their risks and not in the proverbial "rear-view mirror" like in traditional actuarial science. My question is: Who makes up the target audience for these visual analytics? In-house underwriters? XL's clients?