Author(s): Richard Warepam

Originally published on Towards AI.

How to Recognize Significant Insights from Summarized Data

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Photo by Choong Deng Xiang on Unsplash

Enough with unboxing your Amazon orders, let’s unbox your data now!

So you’ve got your summarized data sitting in front of you, and now you’re wondering, “What’s the good stuff here?”

Don’t worry — I’m here to help you become a “pro” at spotting those action-packed insights that can make a real difference.

· Why Finding Insights Matters?· The Art of Insight Mining: The Procedure ∘ Technique 1: The “What Catches Your Eye” Approach ∘ Technique 2: The “Compare and Contrast” Method ∘ Technique 3: The “So What?” Test· How You Should Analyze Your Data To Get Better Insights ∘ Step 1: Get the Big Picture ∘ Step 2: Dig Deeper with the “Five Whys” ∘ Step 3: Look for Connections· Some Common Pitfalls to Avoid ∘ 1. The “Correlation = Causation” Trap ∘ 2. Confirmation Bias ∘ 3. Ignoring Context· How to Make it a Habit· Wrapping Up

Before we jump into the “how,” let’s talk about why this is so important.

Because great insights are those valuable discoveries that can help you or your organization make better decisions.

Whether you’re analyzing sales patterns, social media engagement, or… Read the full blog for free on Medium.

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Published via Towards AI