Have you ever tried building a Lego set with the wrong pieces?
You open the box. The picture on the front shows a spaceship. But inside?
- A few pieces from a pirate ship
- Some bricks that don’t connect
- And the instructions are from a fire truck
You could try to build something. But it’s not going to fly.
That’s what poor data quality feels like in business.
It looks like you’ve got what you need. You trust the labels. You start building. And halfway through, nothing fits.
This is where many companies get stuck.
They’re not lacking tools. They’re not short on dashboards. They’re trying to build strategy, reports, and forecasts on bricks that don’t belong together.
Here’s the kicker: it’s not always obvious.
Until a customer gets the wrong order. Until sales chases the wrong lead. Until leadership makes a decision on a broken model.
Data quality isn’t a back-office concern. It’s frontline risk.
If I walk into a company and hear:
- “That’s just how the data pulls in.”
- “We fix it manually each month.”
- “It’s on the roadmap.
That’s our cue. Because if the foundation’s cracked, you don’t need a better dashboard. You need better bricks.
Here’s how we help our clients fix it:
- Define what ‘good’ looks like. No more guessing. Make it measurable.
- Track data at the source. Don’t wait until the report to spot a problem.
- Create ownership. Every piece needs someone responsible for keeping it clean.
Data quality isn’t exciting until it is.
Until it saves the deal. Or makes the forecast. Or helps you ship the right thing, faster.
Then it’s not just Lego. It’s architecture.
