Most of the attention in the Semantic Web world is currently focused on using ontologies, rdfs and owl reasoning to get more value out of enterprise data. Many enterprise databases are full of information about people, companies, relationships between people and companies, places and events. The Semantic Web literature also carries the promise of analyzing networks of people, networks of companies and events in time and space. This talk will show how Business Intelligence problems can be solved with a combination of basic semantic web reasoning and complementary techniques such as social network analysis and geotemporal reasoning. We will be using AllegroGraph in this talk, but the concepts learned will transfer to other Semantic Web solutions.