Reducing Cognitive Biases in Business Intelligence: A Framework for Objective Data Analysis

This paper examines the ways in which cognitive biases affect judgment in business intelligence (BI) settings. Drawing on bounded rationality theory, the study explores how human cognition, BI system design, and organizational pressure interact to produce biases such as anchoring bias and confirmation bias. Qualitative data were obtained from semi-structured interviews with representatives from two logistics companies. The results of a thematic analysis revealed that users frequently rely on heuristics because of time pressure, information overload, and visual design elements. While some informal bias-mitigation strategies exist, institutional support for them is limited. This study offers a framework for understanding and reducing cognitive bias in BI use, with implications for dashboard design, user training, and decision processes.