This is a response to Barry's QlikFix post - http://t.co/q4jPQAs
While interesting that 80% of data may have a spatial component (depending on how you define it), the reality is that the majority of that data does not have a special dependency – it is not really that suitable for display on a map.
A common example for such displays might be something like sales by state. These are often displayed as bubbles geographically positioned over the state in question but do they really help with the analysis? Sure, you may be able to easily see that sales in California are larger than in Oregan, but how do they compare against sales in New York, New Jersey and Rhode Island that may be smudged together on the far side of the map. What might look “cool” on a demo may turn out to be something that is easier to analyse in a bar chart.
One other unfortunate flaw is the level of education that might be encountered. Studies have shown that percentages of schoolchildren in the UK have difficulty picking out their own country versus France or Germany! Can we expect that everyone who needs to analyse European data is actually aware that the boot shaped country is Italy?
Maps can be cool and have some great applications (many of which can be easily done in just Google maps without QlikView). Real world analysis can mostly do without them.