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arXiv · 2512.15798

Bridging Business Intent and Data: A Benchmark for Automatic Relational Data Product Generation

Faisal Chowdhury·Sola Shirai·Sarthak Dash·Nandana Mihindukulasooriya·Horst Samulowitz
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Abstract

A data product is designed to address a specific business need by transforming raw data into a curated, usable asset that delivers actionable insights. Despite practical advances in related areas like text-to-SQL and ELT pipelines, there is no comprehensive benchmark for evaluating the end-to-end process of automatically generating such data products from high-level business requests. To fill this gap, we introduce DP-Bench, a first-of-its-kind benchmark for automatic data product creation, built by combining elements from existing ELT and text-to-SQL datasets. We also propose baseline methods using LLMs to generate data products, providing a foundation for future research in bridging natural language business intent and structured data representation. We make the DP-Bench dataset and code available at: https://huggingface.co/datasets/ibm-research/dp-bench.

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Faisal Chowdhury, Sola Shirai, Sarthak Dash, Nandana Mihindukulasooriya, Horst Samulowitz. 2025-12-16. Bridging Business Intent and Data: A Benchmark for Automatic Relational Data Product Generation. https://arxiv.org/abs/2512.15798

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