Spatially enabled datawarehouses, geospatial datatypes, geospatial BI ... etc ... a lot of buzz around this topic over the past year. Maybe the next BI grail !
Geospatial data helps users to visualise how usual business data (customer, products, time ...) are impacted by geography.
For instance, a lot of telcos are building spatially enabled analysis and reporting. Just imagine some advanced analytics like : how is my customer using his cellphone, when is he using his cellphone and WHERE is he using it ? Now imagine the answer displayed on a map instead of a classical dashboards and spreadsheets. Amazing, no ?
Have a look on this web site : Spatialytics
You will find some very interesting explanations about geospatial datawarehousing and also a spatially enabled version of Kettle : GeoKettle. Also a release of Mondrian, called GeoMondrian .... spatially enabled. According to Spatialytics, GeoMondrian is the first open source SOLAP player.
I started to test GeoKettle. Quite interesting. Of course you need to have some spatial data near you to play with but this should not be an issue for you according to Franklin (1992 - An introduction to Geographic Information Systems : linking maps to databases) : "About 80% of all data stored in corporate databases has a spatial component".Have a look to your data and become spatially enabled !
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