Microsoft's BI-Bench: Frontier LLMs Score Under 50% on End-to-End Business Intelligence
MicrosoftResearch · hf · 2026-09-22
Microsoft Research released BI-Bench, the first benchmark systematically evaluating LLMs on end-to-end business intelligence (BI). The team harvested real-world BI projects from public sources and manually extracted (question, ground-truth answer) pairs from real user dashboards.
Key findings and approach:
- Even frontier LLMs achieve less than 50% accuracy on BI-Bench.
- The tool-augmented BI-Agent decomposes BI workflows into subtasks over structured data (search, join, transform) and orchestrates specialized data management methods, gaining up to 40 percentage points over vanilla LLMs.
- A post-training framework synthesizes training trajectories from real BI projects, applying SFT and RL for up to 30 additional points.
The work highlights the importance of combining tool-augmented reasoning with domain-specific post-training for complex BI workflows.
Related event: Microsoft's BI-Bench shows frontier LLMs under 50% on end-to-end BI tasks(2 posts)→
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