Clear data doesn't always change people's minds. A look at how psychology, existing beliefs and business context influence the way we interpret evidence and make decisions.

A reflection on how working in target-driven environments changed the way I look at KPIs, reporting and performance data.

A practical reflection on why data analysis doesn’t start with data — but with unclear business problems that need to be understood first.

A reflection on why reporting alone is not enough - and why the real value of analysis starts when decisions are made.

A practical reflection on how stakeholder requests often differ from actual business needs — and why understanding the problem matters more than delivering the output.

When data doesn’t give a clear answer, the goal is not to force one - but to make the decision clearer by showing trade-offs, risks and possible scenarios.

A clinical trial case study exploring how statistical analysis translates into clear, decision-ready conclusions.

This project explores how clear, practical MI reporting can support day-to-day operational decisions by making workload, backlog and service performance easier to understand.

A good Power BI dashboard isn’t about showing everything - it’s about highlighting what matters and supporting clear, confident decisions.

Before opening any tools, I focus on understanding the problem, the decision behind it and what “good enough” really means for a data analysis project.

Being effective in data analysis isn’t about knowing everything - it’s about asking the right questions and focusing on decisions that matter.

At the beginning, I thought mistakes meant I wasn’t good enough. Over time, I realised they were the moments that taught me the most about real data analysis.

A Business Analysis case study exploring how attendance patterns, capacity utilisation and staffing decisions influence day-to-day operations in a UK nursery.