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

Dr. Soofastaei and his colleagues have written a book that shows how all mining managers can effectively deploy advanced analytics in their day-to-day operations, using a practical road map and tools to unleash the potential buried in their company's data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches, and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. It also provides the next generation of miners with an understanding of data analytics applied to the mining industry.

Format: Paperback / softback
Length: 747 pages
Publication date: 25 February 2023
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 unveil a powerful new business tool that empowers numerous mining companies to harness their vast data reserves and make informed decisions that drive remarkable outcomes.

The authors delve into a 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 seamlessly integrating advanced analytics with mining industrial business solutions, they introduce the "Advanced Analytics in Mining Engineering Book" as a practical roadmap and invaluable toolkit for uncovering the untapped potential hidden within a company's data.

The primary target audience of this book includes mining executives, managers, and research and development teams. It aims to provide them with a deep understanding of the business value and practical applications of various analytic approaches. Moreover, it equips data analytics leads with a robust business framework to assess the value, cost, and risks associated with potential analytical solutions. Furthermore, the book caters to the next generation of miners, including undergraduate and graduate IT and mining engineering students, by introducing them to the world of data analytics applied to the mining industry. By organizing 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 deployed.

This book serves as a beacon of light, highlighting the immense potential to interconnect activities within the mining enterprise and drive efficiency, productivity, and profitability. It empowers mining managers to make data-driven decisions, optimize processes, and uncover hidden insights that propel their organizations to new heights of success. With its comprehensive coverage and insightful perspectives, the "Advanced Analytics in Mining Engineering Book" is a must-read for anyone seeking to leverage the power.

Weight: 1151g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030915919
Edition number: 1st ed. 2022