The Challenge

The markets are demanding; Mining companies need to maximize their production efficiency.  To meet this objective, Mining executives need to rely on the unbiased truths of accurate data to drive their decision making.

The Mining industry faces challenges in being able to pull together data from the various Mining systems used to run their Mine site(s). Companies spend too much time performing manual data pulls and manual data reconciliations, leading to untimely and inaccurate reporting.

This situation conflicts with what the Mining industry is driving towards. Top Mining companies are leveraging big investments in digital innovation using advanced machinery and processes for mining automation — autonomous machines used for material movement and exploration — allowing for safe and efficient mining.

The advanced applications of technology force the industry to look at ways to drive automation and efficient processes when it comes to data collection, data streaming and data analytics. Many Mining companies still apply manual methods when it comes to reporting and mining asset management, which cause delays within Mine operations. Due to these inefficient methods, companies are unable to realize the actual benefits of running and managing their Mine operations.

The Solution

Jump understands Mining Industry Data Analytics

In partnership with our many Mining clients, Jump has leveraged its industry design and best practices to solve key Mine reporting concerns, from both Mine-site and Corporate perspectives. To do this, the Jump team worked on understanding the many systems used at a Mine site, and developed a best-practice framework, Mining Industry Data Analysis Framework™, to allow for efficient and reliable data movement from the most complicated Mine systems to the simpler ones, such as Excel.   Built on Microsoft’s world class analytics platform, use the Framework on premise or in the cloud, the choice is yours.