Building Automated BI Platforms: From Data Ingestion to Visualization

Authors

Syed Ziaurrahman Ashraf

Abstract

In an era where data drives decision-making, Business Intelligence (BI) platforms have evolved from static reports to automated systems delivering real-time insights. This paper outlines a comprehensive approach to building automated BI platforms, starting from data ingestion to the final visualization layer. The discussion covers data pipeline orchestration, real-time processing, cloud integration, and AI-enhanced visual analytics. Key technologies such as ETL frameworks, cloud data warehouses, and modern visualization tools are explored with technical illustrations to provide a deeper understanding of the architecture.

Keywords

Automated BI, Data Ingestion, ETL, Data Pipelines, Cloud Data Warehousing, Real-time Analytics, Data Visualization, AI-Driven Insights

Building Automated BI Platforms: From Data Ingestion to Visualization. Syed Ziaurrahman Ashraf. 2019. IJIRCT, Volume 5, Issue 2. Pages 1-7. https://www.ijirct.org/viewPaper.php?paperId=2410010