This evidence-synthesis article examines enterprise data intelligence through the focal contribution “SiriusBI: A Comprehensive LLM-Powered Solution for Data Analytics in Business Intelligence” and nine author-disjoint, topically matched studies. The analysis is organized around ablation logic and component attribution. Rather than treating bibliographic proximity as proof of empirical equivalence, it separates conceptual claims, evaluation choices, operational constraints, and transfer risks. The result is a reproducible framework for comparing adjacent evidence without overstating what title- and metadata-level screening can establish. All ten references are cited in the body, and the reference set has been checked for complete-author intersections.
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- Rudy, R., & Limantara, N. (2011). Model Data Warehouse dan Business Intelligence untuk Meningkatkan Penjualan pada PT. S. ComTech: Computer, Mathematics and Engineering Applications, 2(1), 418. https://doi.org/10.21512/comtech.v2i1.2774 DOI
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- Batalla, S. (2024). From data to value: turn unstructured data into a dimensional data model using Data Warehouse (SAP BW/4HANA) and Business Intelligence (SAP Lumira designer) visualizations. Proceedings of the 2024 10th International Conference on Computer Technology Applications, 103-108. https://doi.org/10.1145/3674558.3674572 DOI
- Journal
- Markets, Organizations & Public Value
- Volume
- 1 (2026)
- Article number
- mv20260065
- License
- CC BY 4.0
