> It's important to divorce the concepts of operational metrics and product analytics.
I don't think operational and product analytics are different in principle. In both cases, the best speed for analytics matches the speed of taking action on the results.
In ops, there are people whose very job is to respond to a server crash in 2 minutes. In product design, there are no actions taken within minutes of seeing the change in data - so faster analytics just wastes time on refresh-procrastination, and encourages needlessly hasty decisions.
I don't think you're disagreeing with the article. He shows a real-time dashboard of ops stats, and then says:
> It's important to divorce the concepts of operational metrics and product analytics.
Real-time ops statistics help solve ops crises, but product analytics can afford a little more consideration.