Architecture and data structures of the information monitoring and decision-making software suite for business intelligence

This paper analyzes the architecture and data structures of the information monitoring and decision-making software suite in the field of business intelligence. The article provides a deep understanding of the critical architecture and data structures necessary for the effective operation of information systems and high-level decision-making. The research examines the interrelationship between various components of business intelligence software, as well as the processes of data collection, analysis, and visualization. The article also provides practical recommendations on optimal architectures and data structures to improve the performance of information monitoring systems and achieve success in business decision-making. The technologies, algorithms, and methodologies used to solve problems, as well as the conceptual approaches necessary for the successful integration of these systems, are discussed in detail. The results of the research are aimed at advancing cutting-edge research and developing practical software solutions in the fields of information systems, business intelligence and decision-making.

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