BI-Agent and BI-Bench: Towards Automating End-to-End Business Intelligence

Not provided

tool-augmented reasoningbusiness intelligencelarge language models

2609.20886

Builder Relevance

80%

1h ago

Abstract

This paper explores the automation of end-to-end business intelligence workflows using large language models, highlighting the development of a benchmark and a tool-augmented agent to improve accuracy in BI tasks.

Reality Card

Core Claim

The BI-Agent achieves substantial accuracy gains of up to 40 percentage points with vanilla LLMs in end-to-end business intelligence workflows.

Method / Result

BI-Agent yields accuracy improvements of up to 30 points after post-training.

Limitations

Even frontier LLMs perform poorly on the BI-Bench benchmark, with less than 50% accuracy.

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