Advanced Analytics in Mining Engineering: Leverage Advanced Analytics in Mining Industry to Make Better Business Decisions

Dr. Soofastaei and his colleagues reveal how advanced analytics can be effectively deployed in mining managers' day-to-day operations, leveraging data to improve decisions across the value chain. The book aims to provide mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches, while also providing undergraduate and graduate IT and mining engineering students with an understanding of data analytics applied to the mining industry.

Format: Hardback
Length: 747 pages
Publication date: 24 February 2022
Publisher: Springer Nature Switzerland AG

In this comprehensive guide, Dr. Soofastaei and his esteemed colleagues unravel the secrets of effectively deploying advanced analytics in the day-to-day operations of mining managers. They shed light on how mining companies can harness the vast amounts of data at their disposal, transforming it into valuable insights that drive key business decisions and processes.

Advanced analytics, a powerful new business tool, empowers mining companies to leverage their data to its fullest potential. The authors showcase a wide range of analytical tools, including statistical analysis, machine learning, and artificial intelligence, demonstrating how they can enhance decisions across the entire mine value chain, from exploration to marketing.

By combining the science of advanced analytics with mining industrial business solutions, the authors introduce the "Advanced Analytics in Mining Engineering Book" as a practical road map and toolkit for unlocking the untapped potential within companies' data. This book is specifically designed to cater to mining executives, managers, research and development teams, and data analytics leads, providing them with a comprehensive understanding of the business value and applicability of different analytic approaches.

Furthermore, the book aims to empower the next generation of miners, including undergraduate and graduate IT and mining engineering students, with a deep understanding of data analytics applied to the mining industry. By structuring the chapters in line with the mining value chain, the book offers a clear, enterprise-level perspective on where and how advanced data analytics can be most effectively applied.

This book highlights the immense potential to interconnect activities within the mining enterprise, fostering collaboration and efficiency. By leveraging advanced analytics, mining companies can optimize their operations, improve decision-making, and ultimately drive growth and success in the competitive landscape.

In conclusion, "Advanced Analytics in Mining Engineering" is a must-read for anyone seeking to leverage the power industry's data to drive innovation and growth. With its comprehensive coverage of analytical tools, practical insights, and enterprise-level perspective, this book provides a valuable resource for mining managers, executives, and researchers alike.

Weight: 1304g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030915889
Edition number: 1st ed. 2022