AI RESEARCH
Augmented Analytics and Decision Quality: The Role of Trust among Non-Technical BI Users
arXiv CS.LG
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ArXi:2605.20198v1 Announce Type: cross Augmented analytics has transformed how business intelligence (BI) systems managerial decision-making. This is especially true for users without technical backgrounds, who increasingly rely on automated insights rather than manual analysis. BI research has previously concentrated on system adoption and user intention, with very little research examining the impact of AI-enabled analytics on decision quality and the cognitive mechanisms in between.