I helped build the analytics group at a PE fund, and this really fits with my experience.
Good decision support is where most of the value is, and it’s about building things that draw conclusions, not just throwing the data over the fence with 50 filters and expecting the end consumer to do the actual analysis.
I now work on an open source, code-based BI tool called Evidence, which incorporates a lot of these ideas, and might be of interest to people in this thread.
Agree with both of you, and would add that knowing who is using the system, and what they need to get out of it is really the key to making them shine.
Too many systems have too much data for too many customer categories and end up being useless to everybody.
Too many systems have too much data for too many customer categories and end up being useless to everybody.