Information does not equal to insight, provided that we can generate useful ideas to look at more incoming information, and then explore their usefulness and usability in manifesting a productive outcome.
It's pertinent to point out that data is raw and neutral to everybody. It becomes information only when we can make sense of it [i.e. conceptually coherent and personally relevant] and eventually see a use of it.
It is through our perspective of idea generation that insight is finally drawn from the selected incoming information.
Ideas must come first.That's where our personal creativity - and creative imagination - comes to play.
So, without ideas, information is actually useless.
From the chosen workable idea(s), we can then sculpt our decision to act, and formulate a plan for action, which upon implementation and execution, in turn generates real-world experience - knowing what works; what doesn't work, and what could possibly work better the next time.
This is what we call knowledge.
As Einstein is believed to have said, 'Knowledge is experience; everything else is just information'.
Interestingly, making a decision implies making a choice, which entails a personal accountability for consequences after the choice is taken, in either way, good or bad.
This is the harsh lesson of having gained knowledge or experience.
Nonetheless, cumulative knowledge or experience over time becomes expertise, and the discerning use of expertise is wisdom.
From data - with the crucial participating elements of information, idea, decision, choice, plan, action, consequence, experience, knowledge, and expertise - to wisdom seems like a linear progression.
In reality, it's not; it's more of an iterative and even recursive process, with feedback as well as feed-forward loops.
In a nut shell, this is how insight becomes ultimately BI (business intelligence), at least from my perspective.