The Art of Unusual Data: Automating Insights That Spark Curiosity Not Just Reports

Sep 5, 2025

By Brandon Lind 6 min read 330 views
Small startup team gathered around a table, reacting with amused surprise to a colorful dashboard on a central screen that shows one standout odd data spike, in a bright, informal office.

Let’s be honest—most business reports are duller than a Monday morning inbox. I’ve spent way too many hours staring at dashboards, squinting at endless charts, only to realize I wasn’t learning anything new. Then one day, a little automation spit out a “weird” data point: apparently, one of our most viral Instagram posts wasn’t pretty or polished—it was a behind-the-scenes packing blooper. That small surprise changed how I looked at all of our data. It led to a flood of curiosity and, to my own surprise, real improvements in how we ran Sparkles Home. If you’ve ever felt like your data is just wallpaper, you’re not alone. The real art of business data is finding those moments that make you go, “Wait, what?”

Why Most Business Reports Fail to Inspire Curiosity

I’ll admit it: I used to think more data meant more insight. But here’s the catch—most reports just confirm what you already know. Churn is up, sales are down, engagement is flat. You close the dashboard and go back to your gut instincts. That’s not a failure of effort, it’s a failure of design. When your data only tracks the obvious, it won’t spark new ideas or even provoke a tiny bit of “why?”

THE PROBLEM:

  • Dashboards look impressive but rarely cause action
  • Everyone tunes out routine updates
  • We mistake “busy” data for useful data
  • No one gets curious about expected results
  • Real issues stay hidden under averages

THE SOLUTION:

Stop asking for reports that summarize what happened. Instead, use automation to chase outliers, odd patterns, and exceptions that nobody’s tracking yet. That’s where the magic (and the real change) happens.

What Makes Data Unusual (And Why It Matters)

Unusual data isn’t just about weird numbers—it’s the kind of insight that snaps you out of autopilot. I’ve seen the difference when I started automating “oddity trackers.” For example, our Instagram engagement automations started flagging posts with the biggest unexpected spikes or drops, not just the average likes. One quirky caption, one photo posted at the “wrong” hour, suddenly broke all our rules. These moments forced us to ask, “What actually made this work?” That’s when my whole team sat up and responded—because the data had a story, not just a score.

BUSINESS REALITY CHECK

Most businesses don’t need more spreadsheets—they need more surprises. Data should be less about tracking the routine and more about surfacing the oddball moments that make you rethink your playbook. If a number makes you say “Huh?”, that’s often more valuable than one that makes you nod.

Automating Insights: Beyond Routine Reporting

The good news: you don’t need to become a data scientist to spark curiosity. Over the years, I’ve learned that a few targeted automations can turn boring data into genuine business “aha” moments. Here are three examples we rely on:

  • Automated Image Tagging: We set up a system that runs new product photos through AI and auto-tags them with style, color, and even “mood.” This isn’t just about organization—it lets us spot, say, which color combos unexpectedly trend each season, or when a room style suddenly takes off. Instead of counting products, we uncover new design directions we never would’ve noticed manually.
  • Engagement Metric Trackers: Our Instagram automations don’t just log likes; they flag posts with engagement leaps or sudden dips against our averages. We dig into those outliers (even if it’s not flattering!) to find what really resonates or flops with our audience, then adapt fast.
  • Review Summary Generators: Instead of sifting through dozens of customer reviews line by line, we use automation to create a daily “quirky feedback” digest—summarizing what’s notably different or unexpected in new reviews. That’s how we caught one minor product tweak that turned into a top sales feature overnight.

Content image for: The Art of Unusual Data: Automating Insights That Spark Curiosity Not Just Reports

Turning Curious Data Into Business Action

It’s one thing to find interesting data, another to do something with it. Here’s what I wish someone had told me sooner: unusual data is only valuable if you tie it to action. When our engagement trackers highlighted a midnight post going viral, we didn’t just say “neat graph”—we started experimenting with late-night campaigns. When customer reviews flagged a pillow color as “unexpectedly calming,” we leaned into that language for product descriptions. Each curiosity became a playbook tweak—and the ROI followed.

"In all my years of running operations, the breakthrough moments—the ones that moved the needle—almost always started with a data point nobody saw coming."

BEFORE AUTOMATION

We relied on static reports. Insights were predictable. Team meetings rarely surfaced anything new.

DURING IMPLEMENTATION

Automations flagged unusual spikes, quirky trends, and exceptions. Suddenly, we had talking points that challenged our assumptions and started debates.

AFTER AUTOMATION

Our strategy shifted from autopilot to experiment mode. The team started asking better questions—and finding better answers—using data that actually mattered.

Content image for: The Art of Unusual Data: Automating Insights That Spark Curiosity Not Just Reports

How to Get Started: Action Steps for Unusual Insights

You don’t need to overhaul your whole business today. But you can start turning your data from wallpaper into a curiosity engine with a few clear moves:

AUTOMATION READINESS CHECKLIST:

  • ⚡ Identify the business area where you feel most “stuck” or bored by current data
  • ⚡ Add one simple automation that flags anything outside the norm (weird reviews, surprise sales jumps, odd engagement patterns)
  • ⚡ Ask your team: What’s the most surprising number we saw this week? What do we do with it?

READY TO GET STARTED?

FIRST STEPS:

  • Pick one reporting area to automate for outliers
  • Build a habit of sharing the strangest data point in team meetings

LONG-TERM PLAN:

  • Set up engagement metric and review summary automations
  • Refine your playbook based on the surprises—not just the averages

I’ve made every dull reporting mistake in the book, and I still get surprised by my own data sometimes. But the businesses that thrive are the ones that turn those surprises into everyday practice. It isn’t about getting more numbers—it’s about chasing the strange, the unexpected, and the honestly useful. Start automating for curiosity, and you’ll never look at a “boring” report the same way again.