I have begun an attempt to query HEAT for any useful statistics that could aid us in our mission.  Since HEAT has a unique way of structuring its data in its semi-relational model it has been challenging to pull helpful information.  One primary reason for this is that the important information we would want to know about (e.g. sites, problem/request details, etc…) are in free-text fields which cannot be queried easily.  Another obstacle is that there seem to be a variety of methods currently (historically) used to categorize Web Site specific events.  I spent a few hours this week getting to know the database structure and I should be able to provide some statistics (qualified) by early next week.  If anyone has suggestions on the type of information/stats we could pull please send them my way.  For now I will look for the obvious stats and we can drill into HEAT further as we discover more about HEAT’s dB and where the data is stored.