Dr. Mahdi Seify is the Founder and Chief Intelligence Officer of VisionXY7 Ltd, an active Senior Lecturer and Programme Leader in Business Analytics at the University of Northampton, and a Fellow of the Institute of Analytics (FIoA). His positioning bridges elite scientific research with deep operational enterprise engineering. Over a 15+ year career, Dr. Seify has successfully directed and coordinated more than 100 high-impact, cross-sector industrial and governance projects valued from £12k up to £200M across complex environments — spanning global development programmes for the World Bank, large-scale automation frameworks within the German Federal Health System, and mission-critical infrastructure diagnostics for major national supply chains and telecom entities serving millions of subscribers.
His formal doctoral research, completed at the University of Liverpool, produced the Deep Business Analytics (DBA) framework — a peer-reviewed, state-of-the-art methodology designed to seamlessly combine advanced neural network predictive models with strategic Balanced Scorecard frameworks. The DBA architecture was empirically validated directly within the Haematology Laboratory at the Royal Liverpool Hospital (NHS), securely processing over 50 million real-time clinical data records.
Dr. Seify leverages this unique dual background to advise regional enterprise networks, supervise extensive volumes of applied postgraduate data research, and author foundational insights across supply chain AI, compliance automation, and clinical decision systems.
Speaking at the Institute of Analytics (IoA) — Panel: Preparing the Next Generation of Analytics Professionals
Dr. Seify's doctoral research on Deep Business Analytics demonstrates exceptional originality and rigour. His development of the Business Connectivity Map — bridging operational AI with strategic management control — is a genuinely novel contribution to the field. The empirical validation at the Royal Liverpool Hospital is a remarkable achievement.
Mahdi brings a rare combination of engineering rigour, academic depth, and practical implementation capability. His work on AI governance frameworks — particularly the integration of ISO 27001 principles into data architecture design — is directly applicable to the most demanding critical infrastructure environments.
The DBA framework represents a paradigm shift in how management control systems can be designed for the AI age — moving from diagnostic-reactive to predictive-pre-emptive governance. Dr. Seify's theoretical contributions, grounded in Malmi & Brown's MCS literature and Kaplan & Norton's BSC, will have lasting impact on both academia and industry.
Dr. Seify takes a limited number of strategic consultancy clients directly. Start with a free 20-minute discovery call.