Research on AI Driven Cross Departmental Business Intelligence Visualization Framework for Decision Support

Abstract

The exponential growth of enterprise data across multiple departments presents significant challenges for traditional business intelligence systems in providing unified decision support capabilities. This research proposes an innovative AI-driven cross-departmental business intel-ligence visualization framework that integrates machine learning algorithms with advanced data visualization techniques to enhance organizational decision-making processes. The framework addresses critical limitations in existing BI systems by implementing automated data integration protocols, intelligent visualization algorithms, and adaptive dashboard generation mechanisms. Through comprehensive experimental validation involving enterprise case studies, the proposed framework demonstrates substantial improvements in decision-making efficiency, with response times reduced by 73% and user satisfaction scores increasing by 64% compared to traditional BI approaches. The research contributes a novel architectural design that facilitates seamless data harmonization across heterogeneous departmental systems while maintaining real-time processing capabilities. Implementation results indicate significant enhancement in cross-departmental collaboration effectiveness and strategic value creation for enterprise environments.