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About

Vassilis Chatzigiannakis specializes in big data analytics, industrial data processing, and the digital transformation of manufacturing. His major contribution lies in developing practical frameworks for handling the immense, noisy, and unstructured data generated by modern production lines. Through his influential work on the Centro Ricerche FIAT (CRF) case, he established clear guidelines and lessons learned for collecting, aggregating, and transforming raw industrial data into structured, actionable insights. This research provides a critical roadmap for manufacturers seeking to implement big data solutions, addressing the real-world challenges of data incompleteness and heterogeneity. While his most cited paper has garnered 4 citations to date, its impact is significant within the niche field of applied manufacturing analytics, offering a replicable methodology for industry practitioners. Chatzigiannakis’s work bridges the gap between theoretical data science and the practical, messy realities of factory-floor data, making him a key voice in the ongoing digitization of the manufacturing sector.