Not Moving Data Was the Right Answer, Until It Wasn’t : Meet PiConnect
Making difficult product decisions is part of growing up as a product company, and it is rarely comfortable. For years at Panintelligence we have been clear and consistent in our position: we do not move customer data. That principle has served us well. It has built trust, reduced risk, and aligned strongly with organisations that value control, […]
From Model to Matchday: Building and Embedding Our World Cup Dashboards
By Persis Duaik, Presales Consultant at Panintelligence and the Brazilian half of our World Cup prediction team In the previous blog, I explained how we prepared more than 49,000 historical international football results for analysis, turning raw facts into model-ready variables: form difference, attack and defence ratings, and tournament importance. We even built the Panintelligence Team Strength Index (PI-TSI) to give us a clean, […]
Can You Really Predict Football? How We Prepared the World Cup Data
By Persis Duaik, Presales Consultant at Panintelligence and the Brazilian half of our World Cup prediction team In our first blog, Reece introduced our slightly ambitious plan to use PiPredict and Panintelligence to analyse the 2026 World Cup. Reece brings the finance brain, Yorkshire realism and the emotional resilience that comes from supporting Tottenham Hotspur. I bring the technical build, a presales […]
When Football Meets Forecasting: PiPredict Takes on the World Cup
There are some things in life that should never be left entirely to guesswork. Cashflow. Forecasting. Month-end. Whether someone has “just one quick finance question” that definitely will not be quick. And, most importantly, whether England are finally going to bring football home. As a 27-year-old aspiring accountant, Tottenham Hotspur fan and proud Yorkshireman, I like to […]
Why Better Product Decisions Start With Data Coherence, Not More Dashboards
Making data-driven product decisions sounds straightforward in theory. In practice, it is one of the most structurally broken processes inside scaling organisations. You have dashboards. You have reports. You have a BI tool, a CRM, a data warehouse, and a growing stack of SaaS platforms generating signals by the minute. And yet, when it matters […]
Heatwaves, Croissant Charts and BBQ Budgets: The Lighter Side of Serious Data
A light hearted look at why unusual data stories still point to a serious business challenge. I have been away for a few days, which always gives you a bit of space to think. Not necessarily deep, philosophical thinking. More the kind of thinking that happens when you finally step away from back to back meetings, look at the […]
Why AI Doesn’t Replace Dashboards - It Makes Them More Valuable
The assumption that is quietly creating risk If you step back from the current narrative around AI, and instead look at what is actually happening inside organisations that are trying to move beyond experimentation and into real, production-level use of AI, a very different picture begins to emerge, one that is far less about replacement and far more about […]
We Already Have a BI Tool… So Why Does This Still Feel So Hard?
For many organisations, investing in a BI tool feels like it should solve the reporting challenge. This is a conversation I find myself having regularly. “We’ve already got a BI platform. If we need more reports, we can bring in a consultant.” And increasingly, I also hear: “We’ve got a data analyst internally who can build […]
Automating Regulatory Reporting Without Losing Control
There is a quiet tension sitting at the heart of every financial services organisation right now. On one side, regulatory pressure continues to increase. Reporting requirements are becoming more frequent, more granular, and far less forgiving. On the other, the expectation from the business is speed, efficiency, and automation. And somewhere in the middle sits a […]
For the past several years, the conversation around artificial intelligence has been dominated by pace, potential, and possibility, with organisations rightly focused on how quickly they can adopt, embed, and scale AI-driven capabilities across their products and operations, often driven by competitive pressure and the very real fear of being left behind; however, what has […]