Data Analytics Applied to the Mining Industry

The aim of the book is to provide practical help for executives, managers and research and development teams to identify where and how to apply advanced data analytics in mining engineering. Extensive case studies worked examples and details of how to develop and use an Analytics Maturity Matrix, and associated Analytics Roadmap has been provided.

List of contents

1. Digital Transformation of Mining. 2. Data Analytics and the Mining Value Chain. 3. Data Collection, Storage and Retrieval. 4. Making Sense of Data. 5. Analytics Toolset. 6. Making Decisions based on Analytics. 7. Process Performance Analytics. 8. Process Maintenance Analytics. 9. Data Analytics for Energy Efficiency and Gas Emission Reduction. 10. Future Skills Requirements.

Summary

The aim of the book is to provide practical help for executives, managers and research and development teams to identify where and how to apply advanced data analytics in mining engineering. Extensive case studies worked examples and details of how to develop and use an Analytics Maturity Matrix, and associated Analytics Roadmap has been provided.

Product details

• Authors: Ali Soofastaei, Ali (The University of Queensland Soofastaei
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 25.09.2023
• EAN: 9780367612245
• ISBN: 978-0-367-61224-5
• No. of pages: 254
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing > IT; Social sciences, law, business > Business > Individual industrial sectors, branches; Data Mining, TECHNOLOGY & ENGINEERING / Mining, TECHNOLOGY & ENGINEERING / Civil / Soil & Rock, COMPUTERS / Data Science / Data Analytics, Mining technology & engineering, Mining technology and engineering, Soil & rock mechanics, Soil and rock mechanics