Not long ago, I stepped into my backyard after months of neglect, and it was a complete disaster. Broken chairs, scattered tools, forgotten toys, and piles of leaves cluttered the space — junk everywhere I looked. It felt overwhelming, and I wasn’t sure where to begin. I stood there thinking it would take an entire weekend, maybe even professional help, to get it sorted. But then I grabbed a rake and started in a tiny corner. Little by little, things began to fall into place. After an hour, the chaos didn’t seem so daunting. That moment reminded me how easy it is to overthink a problem when, in reality, all it takes is starting small and tackling one piece at a time.

It’s the same with data & analysis: it can seem like an overwhelming mess, but it becomes manageable once you break it down and address it step by step.

What is in this post?

Simplifying communication has always been a challenge for me. I focus on details and nuances, often losing sight of the bigger picture. While this can be useful when discussing with fellow data experts, it becomes a bias, especially when…