Are Your Decisions Really Backed by Data? Here’s How to Know.

Don’t let dashboards fool you. Learn to spot when data misleads and how to act with confidence.

Read time: 2.5 minutes

Data science ruined my coffee break again. I was halfway through my latte when my boss looked at a dashboard and said, “Sales are up! Must be the new font we used!” I thought, “Correlation does not equal causation… but you do you.”

Early in my career, I created a deck that showed user activity had dropped due to weather. The dataset didn’t even include location data. From that moment, I learned that beautiful graphs do not equal proof.

Since then, I approach data differently. I focus on context, relevance, and actionable insight. Charts are not just for display... they guide decisions. I ensure that every metric I use tells a story that helps teams act confidently, rather than just looking impressive.

Here’s what the data shows:

  • 58% of leaders admit they make big decisions using inaccurate data (DevPro Journal, 2025).

Quick Action Rules:

  • Ask why multiple times. Dig into the reasoning behind each trend to ensure it makes sense.

  • Check multiple charts or sources. One graph rarely tells the full story, so cross-verify before acting.

  • Validate before making decisions. Ensure the data actually measures what it claims.

  • Trust your instincts but verify. If the pattern feels too neat, investigate further.

  • Communicate context clearly. Explain assumptions, limitations, and reasoning when presenting data to the team.

💡Key Takeaway: 

Great leaders don’t chase patterns. They chase context. Acting on correlation without understanding the underlying story can be costly, even if it appears convincing at first.

👉 LIKE if you’ve ever seen a chart that looked convincing but misled decisions.

👉 SUBSCRIBE now for insights on turning raw data into actionable business decisions.

👉 Follow Glenda Carnate for stories and strategies that make analytics meaningful in real-world situations.

👉 COMMENT with a time when a chart or graph led to a surprising conclusion.

👉 SHARE this with someone who trusts dashboards without questioning them.

Reply

or to participate.