How Predictive Maintenance Helped a Remote Gold Mine Avoid $3M in Breakdowns


Dingo’s implementation model enabled this large gold miner to transition from database setup to delivering actionable knowledge within weeks. The deployment process included:


  • Preparation and Planning
  • Installation and Integration
  • Training and Knowledge Transfer
  • Go-Live and Issue Detection
  • Ongoing Optimization

The project began with preparation and planning in mid-Q3 2024, when a deployment plan was developed collaboratively with the site's maintenance and reliability teams. This was followed by the installation and integration phase. After the purchase order in mid-Q3, the Dingo team configured the site, assets, and components in the Trakka system, then uploaded all pre-existing condition monitoring data. A crucial step involved reviewing the historical data, establishing a new baseline, defining appropriate alert levels, and configuring automated thresholds using the Dingo Rules Engine to ensure effective processing of all future samples. Next, training and knowledge transfer occurred, where site teams were trained on Dingo TRAKKA, the Dingo Mobile App, and new reporting protocols, including establishing monthly review meetings.

Drive Continuous Asset Health Gains. Schedule a consultation with a Dingo expert to learn how TRAKKA's ongoing optimization and proactive monitoring can prevent failures across your fleet.

Download Now

Dingo - How Predictive Maintenance Helped a Remote Gold Mine Avoid $3M in Breakdowns

Copyright © 2025. All rights reserved.