Sign inGet started
Paper · arXiv

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

Business intelligence (BI) is a cornerstone of enterprise decision-making and is widely used by enterprise users in software such as Power BI and Tableau. In traditional BI workflows, users need to prepare data by (1) identifying relevant tables, (2) performing data transformations, and (3) building join relationships, before they can (4) answer their business questions. These steps can be complex and time-consuming, making BI challenging. Given the strong capabilities of large language models (LLMs) in working with data, we study their ability to answer BI questions end-to-end, without requiring users to manually perform the tedious preparation steps. To do this, we harvest a large colle...

AuthorsChuxuan Hu, Yeye He, Penny Zhou et al.
Primary categorycs.LG
Published16 September 2026
Last updated at source16 September 2026
cs.LGcs.AIcs.CLcs.DB
Embed this entry
<iframe src="https://silytics.si/embed/item/ce3207a5-cdf5-4ed0-9214-017f4d942c99" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.