معرفی
Louise Hogg is a Lecturer in Business Analytics at Leeds University Business School, University of Leeds, where she has been contributing since 2019. Her work bridges analytical methods and business decision-making, with a strong focus on data visualization and structured decision frameworks.
Her educational background includes a PhD in Neuroscience from the University of Bristol and an MRes in Neuroscience from Newcastle University. These foundational experiences in data-intensive biomedical research informed her transition into business analytics.
- PhD in Neuroscience, University of Bristol
- MRes in Neuroscience, Newcastle University
Louise's research interests center on enhancing decision-making through analytical rigor and effective visual communication. She explores how the brain processes complex information and applies these insights to design optimal data visualizations. Her work emphasizes practical applications of Multi-Criteria Decision Analysis (MCDA) in business contexts, aiming to improve strategic and operational decisions.
She has authored the textbook Smart Decisions: A Structured Approach to Decision Analysis Using MCDA, which provides actionable strategies for informed decision-making across professional and academic settings.
Louise teaches several key modules at both undergraduate and postgraduate levels, including Visualising and Analysing Data Effectively (LUBS2021), Evidence Based Consultancy, Business Analytics and Decision Science (LUBS5308M), Forecasting and Advanced Business Analytics (LUBS5309M), and supervises the Business Analytics and Decision Science Dissertation (LUBS5579M).
She is affiliated with the Centre for Decision Research and holds a Fellowship from the Higher Education Academy, recognizing her commitment to excellence in teaching. While no specific scientific awards or research grants are listed, her integration of cognitive science with business analytics represents a unique interdisciplinary contribution.
Louise advises on student dissertations within her domain, particularly in business analytics, though no named students are listed. Her research outputs are not detailed in the provided text, but her teaching and textbook suggest a strong emphasis on applied analytics and pedagogical innovation.
