I started at Signoraware as a Data Analyst.
My job was to organise, clean, and report on data. Make the numbers accessible. Build the dashboards. Produce the charts that went into the decks. It was important work and I was reasonably good at it.
The shift happened gradually, over months. I started noticing that I was reading the data differently than I had at the beginning. Not just describing what was there but asking why. Not just reporting that sales in a particular region had dropped but trying to understand what was happening in that region that might explain it. Not just noting that one product was outperforming projections but asking what that product had done differently and whether those things could be replicated.
That shift — from describing data to questioning it — is where the work started feeling like something other than reporting.
There’s a specific thing that happens when you’ve been paying attention to the same data long enough. Patterns emerge that you wouldn’t have seen if you’d only looked once. A seasonal dip that seems like bad performance turns out to be consistent year over year and therefore expected. A product that looks like a top performer turns out to be driven by a single spike that doesn’t recur. A new entrant that seems insignificant in the first month starts showing movement that suggests it’s going to matter.
The data doesn’t change. Your relationship to it does.
I’ve thought about this a lot in the context of my broader work, because it’s relevant to both Signoraware and Vedikaura. The data is always saying something. The question is whether you’ve spent enough time with it to hear it — whether you’ve moved from reading numbers to understanding what they’re actually pointing at.
That takes time you can’t shortcut. You have to sit with data across enough cycles to develop an intuition for what’s normal and what’s significant.
What’s something you only understood after spending enough time with it?