A data advocate’s case for paying attention to the numbers everyone else ignores
The Sport That Runs on Seconds
I love watching Formula 1. Ask most people why the sport is captivating, and they’ll talk about the glamour — the paddock, the networking, the luxury of it all. That’s not what draws me in.
What draws me in is the numbers.
Formula 1 is a sport where seconds decide championships. Not minutes. Not laps. Seconds — sometimes fractions of a second — separate a driver who lifts the trophy from one who watches someone else lift it. And behind every one of those seconds is data: tire degradation curves, fuel load calculations, brake temperatures, wind resistance, pit-stop timing down to the tenth of a second.
Listen to any race broadcast and you’ll hear it constantly: “We’re collecting data.” Engineers say it like a mantra, because it is one. Every small number a team gathers — however insignificant it looks in isolation — shapes a decision that could win or lose the race. Nothing is too small to measure. Nothing is too small to matter.
The Airport, the Speed Limit, and a Lesson I Didn’t Expect
I learned this lesson again, far from any racetrack.
I was once driving from a rural village, three hours out, with a flight to catch. My friend, riding along, was nervous about the time pressure and told me, “Don’t rush — we’d better arrive alive than dead.”
He wasn’t wrong to worry. But I told him my plan wasn’t to rush. It was to trust the numbers.
Every time we passed a stretch marked 80 km/h, I held the car at 75 km/h — steady, consistent, never drifting far from the limit, never wasting the margin I had. The car had cruise control and real power under the hood, but power wasn’t the point. Discipline with the numbers was. We made it to the airport with time to spare, and I caught my flight.
It’s the same instinct that kicks in when I’m running late and glance at Google Maps: it’s about the numbers. Not hope, not urgency, not luck — the number on the screen is what gets me there, if I respect it.
The Real Point: Life — and Business — Runs on Numbers Too
Here’s what I’ve come to believe, on the track, on the road, and in the organizations I’ve worked with:
Numbers decide outcomes. Whether you’re running a business, leading a team, or managing your own life, the small datasets you overlook today are quietly shaping the big results you’ll see tomorrow.
Too often, leaders focus only on the headline metrics — revenue, growth, quarterly targets — while dismissing the smaller data points as noise. But the data a security guard logs at your gate every morning is not fundamentally different from the data a cashier captures at the point of sale. Both are signals. Both, combined with everything else your organization collects, tell a fuller story than either can alone.
Three Things Every Data-Driven Organization Needs
1. A strategy that consolidates every dataset. Fragmented data is wasted data. Organizations need integrated systems that bring every data source — however minor it seems — into one place where it can be analyzed, reported on, and acted upon. There is no dataset in your organization that holds zero value; there’s only data that hasn’t found its use yet.
2. Clarity on what you’re trying to achieve. Data without a goal is just noise. Before you can decide which numbers matter most, you need clarity on what outcome you’re driving toward. Your goals define your metrics — not the other way around.
3. A culture that values data, not just tools. Data is ultimately about people. Systems and dashboards mean little if the people generating and using the data don’t understand why it matters. Involve your teams in the outcomes their data produces. Show them the impact. Teach the habit of noticing small numbers — because that habit, multiplied across an organization, is what builds a genuine data culture.
The Takeaway
Formula 1 taught me that seconds win championships. A rural road taught me that discipline with a speed limit gets you to the airport on time. And years of working with data across organizations have taught me the same lesson, over and over:
Every number is valuable. It’s only a matter of whether you’re paying attention.
I write about data, humanitarian AI, and the intersection of African entrepreneurship and technology. If this resonated, let’s connect.
