It depends on how you define "analytics." The problem continues to be the same: There's too much data, and we can't make sense of it. It seems obvious, but this

It depends on how you define "analytics." The problem continues to be the same: There's too much data, and we can't make sense of it. It seems obvious, but this simple concept has huge ramifications. Different ways of approaching making use of that data are huge swings: look at how other search engines tried to make sense of the web vs. how Google did it. Look at how the dozens of analytics companies tried to make use of your web analytics vs. how Omniture did it. In a more modern example, look at how much content is generated every day on social networks, or how much data healthcare facilities have resting in different silos that is completely unusable to them. There's a lot more that needs to be done.