I had the privilege of speaking at the Rocky Mountain Tech Tri-Fecta this past Saturday so I did two sessions on BI. The sessions were variations of other sessions I had presented, but they were still new as I targeted a different audience than the DBA crowd I normally speak to. The Tri-Fecta is meant for anyone doing work in the Microsoft environment and attendees include a broad spectrum of developers and other people working in the Windows world.
My morning session, The .NET Developer meets Business Intelligence, was intended as an introduction for software engineers who wanted to know more about BI. I had a good set of demos that showed how to use BI from your .NET code, and I felt well-prepared. But after 20 minutes into the talk and several questions from the audience, I had to take a step back. I was flabbergasted to see how little knowledge they had of even the fundamental parts of BI, even in Microsoft terms. While I planned to demo how to make your applications use Analysis Services, Integration Services and Reporting Services, instead I had to take some time to explain what a cube and a dimensional model are, describe what I meant when I mentioned a Kimball methodology data warehouse, and I spent time describing what data mining is used for.
I learned a lot in this session, maybe more than the audience.