Bridging Gaps Between Critical Systems in Mining

Published: December 08,2022



Jump Analytics, which provides advanced analytics solutions for heavy-asset industries like mining,worked with New Gold and encountered a common industry challenge where the company’s operations-specific software left critical gaps between systems, making analytics and business insights difficult. With separate systems for exploration, machine or material movement, fleet tracking, and milling—plus an inability for those applications to share data—the company was forced to pull information together manually, mainly using Excel spreadsheets.

When New Gold first engaged with Jump Analytics, they discussed their needs and where they wanted to go with reporting. They discussed that they didn’t want the reporting to be only an annual occurrence and that their goal was to build a dashboard and platform where their sites could input data that could be tracked, validated, and easily accessible. Additionally, they wanted the ability to pull cross-sections of data so that they could analyze different things from different perspectives.

After testing and trialing several different technologies and vendors, Jump Analytics and New Gold chose the Microsoft Power Platform, which comprises of Power Apps, Power Automate, and Power BI, because it was the only one that had the complete capabilities needed in terms of app development,automation, and data visualization.

Development of applications that inserted themselves between these independent systems to collect and store business-critical data was used to help bring the data together.

Data was collected and shared in a single, trusted data source using apps and automation that were quickly and easily created using their selected technology. Additionally, solutions to make data more actionable were developed to embed business logic and flows into dashboard technology, allowing users to interact with forecasts and budgets to improve decision making.

Key benefits and outcomes that were obtained through the application of the technology and processes included:
• Enabled data centralization for better insights (cycle times, high/low grade trends, equipment efficiencies, resource availability, etc.) into mine site operations
• Reduced time to collect and organize reporting for 1000+ metrics
• Streamlined shift-change procedures to improve safety and efficiency

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