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About

Yolanda Becerra’s research lies at the intersection of big data analytics, manufacturing intelligence, and industrial digital transformation. Her most-cited work, a 2022 study on big data analytics in the manufacturing sector, provides critical guidelines and lessons learned from the Centro Ricerche FIAT (CRF) case. This paper addresses the immense complexity of modern production lines, where robots and digital tools generate vast, unstructured, and noisy data. Becerra’s contribution is a practical framework for collecting, aggregating, and transforming this raw data into structured, unified messages—enabling actionable insights for industry. While her citation count is still growing, her work is foundational for researchers and practitioners grappling with real-world data challenges in smart manufacturing. Becerra’s research is particularly valuable for its hands-on, case-study approach, bridging the gap between theoretical data science and industrial application. Her findings offer a roadmap for turning chaotic production data into a strategic asset, making her a key voice in the ongoing evolution of Industry 4.0.