Great analysts aren’t just data experts, they’re curious, rigorous thinkers who bring clarity to complexity and help teams make better decisions. It’s a mindset, not just a job title, and every successful project needs one.

Data-driven decision-making is a mantra in modern business. But what if the numbers you’re relying on are not accurate?

Good consulting means challenging thinking, tailoring solutions, and staying accountable for results 📊.

How do you use visuals to simplify the complex? 👇

How to embrace and thrive in uncertain times (probably not relevant, seems like we have complete economic global certainty ahead...) ✍ 🐷 TLDR: - strengthen culture: empower teams by acknowledging uncertainty and how it feels 🦾 - accelerate feedback loops: spot issues quickly with more frequent feedback cycles both within teams and with end users ➿ - Stay calm, support your clients to do the same ☮️

Just because ice cream sales and sunburns rise together doesn’t mean one causes the other. In tech, we still fall into the trap of confusing correlation with causation which can be costly and drive bad follow-on decisions. I've seen it in system upgrades, automation wins, adoption improvements - ✨ Post-Implementation Hype 🤖 Tool Worship🏆 Blind Credit - where the real value came from everything but the tech. Here are some things to look out for and how to avoid expensive mistakes: 👉 https://lnkd.in/eAfSKTbp