Data Analytics Applied to the Mining Industry

Data Analytics Applied to the Mining Industry is a book that discusses the challenges and opportunities of using advanced data analytics in the mining sector. It provides guidelines on how to collect, store, and manage data, and offers case studies and examples to implement these methods effectively.

Format: Paperback / softback
Length: 254 pages
Publication date: 25 September 2023
Publisher: Taylor & Francis Ltd

The mining industry is undergoing a significant digital transformation, driven by the adoption of process automation, remote operation centers, autonomous equipment, and the opportunities offered by the industrial internet of things (IoT). This transformation presents a range of challenges that must be addressed to fully exploit these technologies.

Data analytics plays a crucial role in addressing these challenges. Data Analytics Applied to the Mining Industry provides a comprehensive overview of the key challenges facing the mining sector and the opportunities that data analytics can offer.

The book begins by exploring the challenges that the mining industry faces in transitioning to a digital industry. These challenges include the need for efficient data collection, storage, and management, as well as the complexity of analyzing large and diverse datasets.

To overcome these challenges, the book provides guidelines on how data needs to be collected, stored, and managed. It discusses the different advanced data analytics methods that can be applied in the mining industry, such as machine learning, artificial intelligence, and big data analytics.

The book also includes case studies and examples that demonstrate how these methods have been implemented in real-world mining operations. These case studies provide practical insights into the benefits and challenges of using data analytics in the mining industry.

Aimed at graduate students, researchers, and professionals in the industry of mining engineering, this book offers a comprehensive guide to implementing advanced data analytics. It provides approaches and methods to improve data-driven decision-making, explains a concise overview of the state of the art for Mining Executives and Managers, highlights and describes critical opportunity areas for mining optimization, and brings experience and learning in digital transformation from adjacent sectors.

In conclusion, Data Analytics Applied to the Mining Industry is a valuable resource for anyone interested in leveraging data analytics to improve the efficiency, productivity, and sustainability of the mining industry. By providing a comprehensive overview of the challenges and opportunities that data analytics offers, the book provides a roadmap for implementing advanced data analytics in mining operations.

Weight: 453g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367612245