A Conceptual System Architecture for Interoperability Between Business Intelligence and Legacy Systems

A Conceptual System Architecture for Interoperability Between Business Intelligence and Legacy Systems

연구 분야: Databases

학회: International Conference on Information Technology-New Generations

Business Intelligence (BI) is widely employed by companies and organizations to deliver critical data in an organized and accurate manner, enabling data-driven decision-making. However, numerous legacy systems, characterized by complexity and challenges in maintenance and integration, pose a significant obstacle. Legacy systems often experience slowdowns and disruptions when executing BI queries on their databases. We present a conceptual system architecture for interoperability between BI and legacy systems. The architecture is intended to overcome existing limitations, provide seamless integration, and minimize adverse impacts on business operations.