Optimizing Uptime with Condition-Based Maintenance

This case study outlines the operational challenges faced by Compass Datacenters, which designs and operates data centers for major cloud providers. The primary objective of Compass is to maximize data center uptime, addressing issues related to maintenance efficiency and rapid response to operational challenges. The case study details how Compass partnered with Vertiv to implement a dual strategy that combines condition-based maintenance with on-site support services. The solution includes the use of Vertiv™ Next Predict, an AI-driven tool that monitors equipment health and predicts potential failures, allowing Compass to perform maintenance only when necessary. This approach aims to reduce downtime and optimize resource utilization. Additionally, the case study describes the implementation of site-based services that provide real-time diagnostics and repairs, enhancing the efficiency of maintenance operations. By embedding trained technicians on-site and stocking essential parts, Compass seeks to ensure rapid response times and uphold the reliability expected by their clients.