This post shows how someone can use profiles to filter and experiment in Google Analytics, which is super cool. I love Analytics (sexy maps, pretty graphs, easy to access) but it's still important to know how to interpret and discuss the data beyond the Analytics page. I'm enamored with my Dashboard, but most non-techies (aka potential investors) don't care how many filters I have. Learning what you need from Analytics and how to explain that data to a broad audience is key. Metrics rock, but they need a context beyond the dashboard.
