Cognitive and Strategic Dimensions of Data Visualization in Executive Decision-Making

Effective executive decision-making increasingly relies on business intelligence systems and data visualizations to interpret complex information. While prior research has explored visualization design and analytical accuracy, limited attention has been paid to the interplay between cognitive processes and strategic considerations in executive contexts. This study examines how cognitive factors, including perception, attention, and cognitive load, influence the interpretation of visualized data, and how strategic objectives shape the use of these insights in decision-making. Through a comprehensive literature review and analysis of executive interaction with dashboards, key patterns emerge demonstrating that visualization clarity, contextual relevance, and alignment with organizational strategy significantly enhance decision quality and efficiency. The findings contribute to a multidimensional framework integrating cognitive and strategic dimensions, offering practical guidance for designing executive dashboards that optimize comprehension, reduce bias, and support informed strategic choices. Implications for theory and practice underscore the importance of a human-centered, strategy-aligned approach to data visualization in business intelligence.