The Data-Driven Mine

We hear a lot about the value of data analytics – from detecting consumer trends to revolutionising medical research. But nowhere is the practical application of data analysis better illustrated than in the mining industry.

Data analytics is the science of examining raw data in order to draw conclusions humans can act on. Automated by digital processes and algorithms, it is the force behind the coming era of artificial intelligence and machine learning. Machine powered analytics can reveal trends and metrics that would otherwise be lost in the mass of information, and can rapidly link this knowledge to business process optimization and innovation.

Today’s fast-paced business environment requires mining industry leaders to tackle long-standing industry challenges at a pace and scale previously unseen. Immense opportunities exist for those companies capable of making dynamic decisions based on sound analysis and interpretation of data.

Effective data analytics very much depends on human expertise. Human input is essential in ensuring the quality of data analysed, asking the right questions, understanding the implications of the output, and in communicating data based solutions through engaging presentation so the results can be acted on.

Focused on data-generated insights, Schulich SEEC’s ‘The Data-Driven Mine: Data Analytics in the Mining Industry’ program introduces predictive analytics as a decision making tool for mining industry executives and professionals. It focuses on three areas: first understanding the technology and processes involved in effective data analytics; secondly using analytics as a leadership tool in the identification of appropriate business problems and assessment of opportunities in the industry; and thirdly communicating data-based business solutions to various stakeholders.

…………………………………………………………………………………………………………

Join Schulich SEEC’s ‘The Data-Driven Mine: Data Analytics in the Mining Industry’ to drive business performance through data-savvy leadership

Dates: March 5-6, 2020 │ Format: In-class study │ Location: Toronto

…………………………………………………………………………………………………………

Program participants learn how to create relevant business intelligence from data in the context of the global mining industry, and consider the implications of fast developing technologies such as AI and the Internet of Things. They go on to learn about leading with data analytics, examining examples of the use of data analytics by mining leaders as part of sound decision making processes. Finally, they learn communication strategies and how to make compelling presentations that can enable colleagues and decision makers in their organization to confidently commit to action.

The learning experience is enriched by a hands-on experiential element, whereby participants work in teams to apply advanced data analytics to a business simulation for improving operations; findings and recommendations of each team being presented to a panel of industry experts from companies such as Yamana Gold, Anaconda Mining, Torex Gold Resources and others.

The program is led by Ashutosh Agarwal, the Director for Manufacturing and Mining Practices at Uptake, a leading industrial-AI and enterprise software company. At Uptake, his team guides global manufacturing and mining companies towards excellence across the value chain by leveraging data from various sources within operations.

Program participants will leave fully equipped to use analytics in their decisions in the global mining industry to increase productivity and efficiency, improve safety and lower costs. In short, they will become data-savvy leaders who drive business performance through the smart use of advanced analytics.