
Peter Kwakpovwe
Peter Kwakpovwe is a data scientist with experience working across analytics, reporting, and business intelligence teams. He has contributed to joint academic research collaborations with NHS Trusts and Integrated Care Boards, where his work focused on using data to support operational and strategic decision-making.
His expertise includes SQL, Power BI, and applied data analysis, with a strong emphasis on transforming complex operational and transactional datasets into clear, actionable insights for non-technical stakeholders. He has published over five academic journal articles in reputable, Scopus-indexed publications and is currently an active peer reviewer, contributing to research and professional publications in data, analytics, and applied AI.
Peter has a strong interest in analytics as a practical discipline, particularly in how well-designed data systems can influence behaviour, improve decision-making, and deliver real-world impact. He is especially interested in helping early-career data professionals bridge the gap between technical skills and meaningful business outcomes, drawing on lessons from healthcare and business intelligence environments.
Proposed Sessions for 2026
From Dashboards to Decisions: Building Data Systems That Deliver Real Value
Most data platforms stop at dashboards, leaving humans to interpret charts, chase issues, and make decisions after value has already been lost.