In this session we consider how to extract value from data instead of letting it just accumulate in our databases. Rather than leaving data analytics as a standalone, by integrating it into the Engineering domain the gained actionable insights become real, applicable, and valuable. We look at the challenges of sharing data across multiple domains, the challenges and critical importance of understanding data relationships, plus where and how different data is sourced. Finishing with a demonstration of the integration of these multiple data streams using Large Language Models.