Orchestrating Frontend and Backend Integration in AI-Enhanced BI Systems
Keywords:
Business Intelligence, Artificial Intelligence, System Integration, User Experience, Data Visualization, MicroservicesAbstract
The present research paper discusses, integrating issues, and solutions to the integration of frontend-backend components within Business Intelligence (BI) systems augmented with Artificial Intelligence (AI). Since users have more influence in an organization by utilizing data-driven decision making, it has become paramount to suitably conduct user interfaces in tandem with more advanced backend analytics. Using extensive literature reviews of architectural strategies, data flow patterns and strategies as well as the implementation strategies, this paper will propose an effective integration framework that would strike the right balance between user experience and computational efficiency. Newer methods of latency reduction in AI-accelerated visualizations, data pipeline architecture optimization and avoiding system inconsistency between distributed elements are presented in the paper. The experimental findings prove that the introduction of the proposed integration patterns results in up to 47 percent faster response times and 63 percent higher user satisfaction indicators. Such findings are quite helpful to the BI system architects, developers, and even the organizations decision-makers who are interested in realizing the maximum benefit of their artificial intelligence investments due to frontend-backend integration.
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Copyright (c) 2025 Manasa Talluri, Niranjan Reddy Rachamala
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