CoreViz: Context-Aware Reasoning and Visualization Engine for Business Intelligence Dashboards

Large language models (LLMs) have revolutionized the field of data analysis, yet their effectiveness relies significantly on how well they can interpret complex datasets in a business context. This paper introduces the Context-Aware Reasoning and Visualization Engine for Business Intelligence Dashboards (CoreViz), a framework designed to elevate data interaction and enhance decision-making. CoreViz combines context-aware reasoning with advanced visualization techniques, allowing for a deeper understanding of datasets by adapting visual outputs according to user context, including preferences and historical interactions. This system employs a robust reasoning engine that dynamically interprets data relationships, providing users with visualizations that change in response to their queries. Through empirical evaluations, CoreViz demonstrates marked improvements in user engagement and data interpretation accuracy compared to traditional business intelligence tools. Moreover, case studies indicate higher decision-making efficiency for organizations utilizing CoreViz, marking a significant enhancement in analytics capabilities. The incorporation of user context into visualization processes sets CoreViz apart as an innovative tool in the realm of business intelligence.