Advanced Analytics for Mine-to-Mill Optimization in the Mining Industry presents a comprehensive, practical, and technically rigorous framework for applying advanced analytics to one of the most important performance challenges in mining: improving the integrated flow of value from the orebody to the final product. The book shows how mining companies can move beyond isolated operational improvements and use data, engineering knowledge, and decision intelligence to optimize the full mine-to-mill system. Mine-to-mill optimization has traditionally focused on improving the link between blasting and comminution. While that connection remains central, modern operations require a broader and more dynamic view. Ore variability, fragmentation, fleet performance, stockpile management, crusher stability, mill energy consumption, recovery response, product quality, maintenance constraints, and market requirements are all part of the same value chain. The book explains how advanced analytics can help operators understand these interactions and convert them into better decisions. The book is written for professionals who need to connect mining domain expertise with modern analytics. It is suitable for mining engineers, metallurgists, geologists, mineral processing engineers, data scientists, digital transformation leaders, operational excellence teams, executives, consultants, technology vendors, researchers, and graduate students. It can be used as a professional reference, an advanced undergraduate or postgraduate text, a training resource for mining companies, or a practical guide for analytics teams working in mining operations.