We use flurry for mobile, google analytics for web and in house server logging for both. I use a custom stack of scripts, SQL and R to make sense of it.
What does everyone do for higher level analysis of their event logs? Lets say you have a concept of users, and a concept of most actions that they take, how do you build a picture of who you users are, what they are doing, what the main user segments are, etc?
Am I missing out on any specialized tools? Note, tools must be able to handle fairly large datasets, the tools I have seen that slice up SQL databases usually end up being too slow.
You could use a higher-end analytics service. Localytics is real-time, provides dynamic segmentation analysis and provides an API for the export of the full session-level data (not just aggregated charts), including events: www.localytics.com
What does everyone do for higher level analysis of their event logs? Lets say you have a concept of users, and a concept of most actions that they take, how do you build a picture of who you users are, what they are doing, what the main user segments are, etc?
Am I missing out on any specialized tools? Note, tools must be able to handle fairly large datasets, the tools I have seen that slice up SQL databases usually end up being too slow.