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Advanced Analytics

Make data-driven decisions for mining operations with advanced analytics

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Advanced Analytics

Overview

Advanced analytics are enabling mining companies to truly leverage the large amounts of data gathered from various sources, including sensors and IoT devices. By integrating this data and harnessing it, real-time insights can be used to reduce downtime, optimize maintenance schedules and improve overall operational efficiency through predictive analytics.

Going one step further, machine learning algorithms and artificial intelligence are now being applied to detect patterns in large datasets, optimizing various aspects of the mining process such as ore grade control and mineral recovery.

However, initial upfront costs of investing in advanced analytics technologies and skills are a formidable hurdle for many mining companies. Besides the hardware, software and IT infrastructure needed, talent in data science and machine learning are highly sought-after and difficult to retain.

Key Client Challenges

What are our specific mining operations that can benefit from advanced analytics?

How do we leverage advanced analytics to reduce downtime and help in predictive maintenance?

What skills and expertise are needed to effectively manage advanced analytics processes and systems?

How YCP Unison Can Help

Beyond the infrastructure, technology and skills needed, introducing advanced analytics into traditional mining operations requires a cultural shift within an organization. Many employees may remain resistant to change and struggle to adapt to new technologies and processes without the training and coaching needed to succeed.

Our YCP Unison experts can work with your team to facilitate change management and training at every organizational level. We prioritize the systems and behaviors needed for change and work to incorporate advanced analytics into your organization’s processes, ensuring technologies are fully adopted and leveraged sustainably beyond a project’s closeout.