Building Automated BI Platforms: From Data Ingestion to Visualization
Author(s): Syed Ziaurrahman Ashraf
Publication #: 2410010
Date of Publication: 07.04.2019
Country: USA
Pages: 1-7
Published In: Volume 5 Issue 2 April-2019
DOI: https://doi.org/10.5281/zenodo.13949502
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
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