The Gap No One Talks About
What is Data Friction and why it's costing your scale-up more than you think
Most scale-ups I talk to have the same problem.
The business designs a strategy. The engineering team receives a set of requirements. The outcome isn’t what anyone expected.
And then the meetings start.
“Why don’t they understand what we need?”
“Why is this taking so long?”
“Why does the data never quite add up?”
I’ve seen this pattern repeat across banking, retail, and tech — in boardrooms and in engineering teams.
It’s not a talent problem. It’s not a budget problem. It’s a translation problem.
There’s a gap between what the business needs and what technology delivers. And the longer that gap stays open, the more it costs — in time, in margin, in trust.
That’s what I call Data Friction.
1. What is Data Friction?
Data Friction is the invisible drag on your organisation caused by misalignment between business strategy and technical execution.
It shows up in:
Revenue plateaus — because your systems can’t scale with your ambition.
Operational inefficiency — because your teams are working around the tech, not with it.
Strategic misalignment — because your boardroom speaks P&L and your engineers speak code, and nobody is translating.
Data Friction isn’t a single problem. It’s a symptom of a deeper gap: the gap between where you are and where you want to be.
2. Why Scale-Ups Are Most Vulnerable
In a start-up, everyone is close to the problem. The founder talks to the engineers. The engineers talk to the customers. Translation happens naturally.
In a large enterprise, there are layers of process. Translation is slower, but there are systems to catch mistakes.
In a scale-up, you’re in the worst of both worlds.
You’re growing fast. You’re hiring. You’re building new systems. You’re entering new markets. The pressure is on.
And in that pressure, the translation gap widens.
What worked when you were 20 people doesn’t work when you’re 100. What worked when you had one product doesn’t work when you have three.
The systems don’t scale. The teams don’t speak the same language. And the gap starts to cost you — in time, in money, in trust.
3. The Three Costs of Data Friction
Time
When the business and engineering teams are out of sync, everything takes longer.
Meetings go in circles. Requirements are misunderstood. Work is redone. Deployments are delayed.
Every delay is an opportunity cost. The thing you could have built is not being built.
Money
Wasted time is wasted money. But Data Friction costs more than that.
It costs you in inefficient systems. In manual workarounds. In duplicated effort.
It costs you in margin erosion. When your technology isn’t aligned with your business objectives, you’re paying hidden interest on every decision.
Trust
This is the cost that’s hardest to measure and the most damaging.
When the business doesn’t trust engineering, they micromanage. When engineering doesn’t trust the business, they disengage.
And when both lose trust in the data, you have nothing to base decisions on.
4. Why More Data Won’t Fix It
The instinctive response to Data Friction is to ask for more data. More reports. More dashboards. More visibility.
But Data Friction isn’t a visibility problem. It’s an alignment problem.
The business sees the problem one way. Engineering sees it another. More data doesn’t change that. It just gives both sides more ammunition to prove they’re right.
The only way to close the gap is to build a bridge.
5. The Bridge
The bridge between business strategy and technical execution is not a tool. It’s a process.
It starts with diagnosis. You need to know exactly where the break is before you can fix it.
Then you build the roadmap. Not a 100-page document. A clear, actionable plan that connects the problem to the solution.
Then you execute. Not with months of consulting, but with a surgical strike that targets the gap and closes it.
The Data Friction Audit does exactly that.
A Final Thought
If you’re running a scale-up and you feel the tension between strategy and execution, you’re not alone. It’s not a sign of failure. It’s a sign of growth.
But it won’t fix itself.
The gap doesn’t close on its own. It widens.
The question is: how long are you willing to let it cost you?
📌 This article is part of a series on Data Friction and the Growth Gap. Read the next post: 3 Signs Your Scale-Up Has Data Friction.
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