[trobins]

Say 10 people all die on the same day, all showing the same unusual markings/indicators, well maybe if they were using this tool the authrorities could get and correlate the data to discover all of them drank a specific coffee that's new on the market which triggers a reaction only when heart rates are highly elevated within a small time frame afterwards and exposed to lots of sunlight - far fetched I know, but only when you have an abundance of such data can you hope to discover such circumstances.

Of course privacy concerns will always be there, but I for one am ok with judicious use of data to further such advancements.

[TeMPOraL]

I'm totally ok with that use too, but that's not what's going on here. The GP's point, one that I agree with, is that we need to match data collection with focus on actually using the data for something. There's no practical point of having pretty dashboards with graphs if you're going to just look at it and smile if a line goes up instead of down. We need to follow with ways to get decisions out of data, and pick our visual tools to facilitate this process in the best way possible.