Most operational risk still lives in static registers and monthly reports that describe what already went wrong. By the time a problem shows up in a report, the moment to act has usually passed. This session shows how to close that gap by turning a Power BI environment into a live early warning layer for operational and enterprise risk, rather than a set of dashboards that only look backward.

I will walk through a working monitoring system that I designed and deployed in a live operational setting. Using Power BI and business intelligence dashboards, it brings together operational, booking, and financial data, scores emerging risk on occupancy and cancellation signals, and puts those signals in front of a non technical team in a form they can act on within hours rather than days. The whole approach is built from tools that a Power BI practitioner already has, so the focus stays on the data model and the method rather than on any extra platform or spend.

Attendees will leave with a concrete, adaptable framework. I will cover how to structure a risk register so it feeds a live monitoring layer, how to design composite risk scores from operational data, how to shape the report so response time actually improves, and how to validate a predictive model before you trust it in production. I will share the real results from the deployment, including a 14.3% reduction in undetected risk events, a response time improved from 4.7 hours to 1.8 hours, and predictive model performance scores of 0.89 and 0.93. The underlying framework was published as a peer reviewed paper in the American Journal of Technology in 2026.

What makes this different is the reframe. Predictive analytics here is not forecasting for its own sake. It is an early warning capability, a way to shorten the distance between a signal appearing in the data and a person deciding to act on it. That idea travels well beyond hospitality, to anyone using Power BI to keep an operation steady under pressure.

I would enjoy sharing this with the Power BI User Group Italy community. It is a practical, first hand account of building something that works with the tools people in this group use every day, and I would value the exchange with an audience that lives in this space.