This year’s World Cup tournament was the first time I’d come across Opta’s World Cup prediction model, and I found it fascinating.
At first glance, it’s just about football. Using huge amounts of data, historical performance, and simulations, it predicts the likelihood of different outcomes across the tournament. Including how unlikely any of my World Cup sweepstake teams were to win!
One of the key things for me is that the predictions aren’t static, they don’t predict the outcome at the start and then see how accurate they were at the end. The model continuously updates. New results, performances, and changing circumstances are factored in, creating a revised view of what might happen next.
The more I thought about it, the more I realised that’s exactly how effective operations should work.
Constantly updating your predictions
The value isn’t in predicting the future perfectly, it’s in continuously using the latest information to make better decisions.
In operations, I am constantly reviewing data, performance metrics and customer insights. Just like Opta adjusts its predictions after every match, we should be regularly assessing what our data is telling us and adapting accordingly.
Agile development is a great example. At the start of a project, a team may have a roadmap, delivery dates and assumptions about effort, risks and priorities. But as each sprint progresses, new information emerges. Customer feedback, technical challenges, team capacity and delivery performance all provide valuable insight into what’s likely to happen next.
The best Agile teams don’t stick rigidly to the original plan. They review the data, reflect on what’s changed and adjust their priorities. If a risk emerges, they address it early. If progress is slower than expected, they reallocate more resources or remove blockers. If a customer needs a change, they pivot.
The changing probability of what happens next
Each result doesn’t just tell you what happened; it changes the probability of what happens next.
For me, the biggest lesson is that data should drive continuous learning, not just initial decisions.
A forecast today may look very different in a week’s time because new information becomes available. The organisations that succeed are the ones that can adapt quickest and update their thinking as new evidence emerges.
Whether it’s predicting the outcome of a World Cup or managing operational performance, the principle is the same. Use the best data available, review it regularly, and be prepared to act when the picture changes.
Data doesn’t eliminate uncertainty, but it does help us spot potential issues sooner, make informed decisions and put the right actions in place to achieve better outcomes.