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arXiv · 2510.24394

Streamlining business functions in official statistical production with Machine Learning

Sandra Barragán·Adrián Pérez-Bote·Carlos Sáez·David Salgado·Luis Sanguiao-Sande
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Abstract

We provide a description of pilot and production experiences to streamline some business functions in the official statistical production process using statistical learning models. Our approach is quality-oriented searching for an improvement on accuracy, cost-efficiency, timeliness, granularity, response burden reduction, and frequency. Pilot experiences have been conducted with data from real surveys in Statistics Spain (INE).

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Sandra Barragán, Adrián Pérez-Bote, Carlos Sáez, David Salgado, Luis Sanguiao-Sande. 2025-10-28. Streamlining business functions in official statistical production with Machine Learning. https://arxiv.org/abs/2510.24394

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