Most data centers rely on Building Management Systems (BMS) to monitor and control critical infrastructure, but few fully utilize the operational efficiencies these systems can deliver. The common challenge? Your blind spots. While BMS tools are essential to any operation, focusing solely on failure prevention is like never checking the rearview mirror, which can lead to missed opportunities.  

Typically, these challenges fall into two categories: validity and reliability. Validity issues stem from inaccurate or unverified data, leading to poor decision-making — especially as AI becomes more integrated with BMS systems. Calibration errors in sensors, actuator discrepancies, and improper tuning of chilled water systems are just a few examples of how unreliable data can result in inefficiencies. 

Conversely, reliability issues arise when the BMS itself is not dependable. Weak failover capabilities, faulty sensors, and outdated network infrastructure can compromise a data center’s ability to respond to critical events, putting operations at risk. 

Data center operators can implement routine system audits, improve collaboration, and invest in team training to bridge these gaps. By addressing validity and reliability challenges, a BMS can be transformed from an essential monitoring tool into a strategic asset — driving efficiency, reducing costs, and maximizing uptime. 

Learn how to optimize your Building Management Systems. Read the full article here.