Beyond the Checkpoint: Building Quality into Data Centers
AI and high-performance computing are accelerating the demand for larger, more powerful data centers that require continuous uptime and increasingly sophisticated power and cooling infrastructure. At the same time, market pressures, tight construction schedules, and a shortage of qualified workers are creating new risks that can compromise the quality of design, construction, and long-term operational performance.
For data center projects, quality cannot be treated as a single checkpoint—it must be embedded throughout the entire lifecycle, from early planning through post-occupancy. In an article for Quality Magazine, Eric Barlett discusses how integrating quality control across the design, manufacturing, installation, commissioning, and operations phases can help data center owners turn their investment from a cost center into a durable, high-performing asset. Key strategies for enhancing quality include:
- Capturing and communicating lessons learned early in the design process to prevent errors from being repeated across future data center builds.
- Expanding factory testing, improving issue tracking, and strengthening QA/QC oversight during manufacturing to reduce equipment defects and downstream reliability risks.
- Standardizing installation and inspection procedures to improve safety, consistency, and quality without sacrificing schedule.
- Improving component tracking, documentation, and spare-part management to avoid rework, delays, and operational issues during startup.
- Involving operations teams early and establishing structured knowledge-sharing practices to improve training, maintenance, and long-term facility performance.