Some people like lots of data. I love it. It’s thorough.
The problem with large amounts of data, though, is that you get lots of junk…information that’s irrelevant to your purpose.
This is where Analysis comes into play: The discernment of what is valuable and what is not.
Most people fall short because they don’t understand how to effectively analyze large amounts of information, quickly.
As time invested is as important a metric as quality of analysis, most people make the decision to make the size of their data smaller for the sake of getting through it in enough time.
This is not the most effective way to research.
The ideal solution is to gather as much information as possible, as quickly as possible, then analyze the data as quickly as possible and at as high a quality as possible.
When you figure that out, you’ll be more effective in less time.
And since we are compensated for what results we produce, not our time, does it not make sense to become good at producing more at a higher quality, faster?