TL;DR

  • While external disruptions trigger delays, the underlying reasons 90% of projects run late are internal issues like optimism bias, weak governance, and fragmented accountability.
  • Modern hyperscale data centers are too complex for traditional, spreadsheet-based tracking, which often obscures critical delays until recovery options are limited.
  • Organizations need to govern time as strictly as capital, introducing centralized leadership and rigorous schedule controls to protect project timelines.

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Written by iMiller Public Relations on behalf of Foresight.

Approximately 90% of data center projects suffer from schedule overruns, with average delays approaching 20% to 30%. While external bottlenecks like power availability, permitting, and supply chain disruptions are commonly blamed, research indicates that the true root causes are internal, driven by optimism bias, weak governance, fragmented accountability, and ineffective risk management. As hyperscale data center builds grow increasingly complex with thousands of interconnected activities, traditional project management tools like spreadsheets fail to surface schedule slippage until it is too late to easily recover.

To combat these systemic delays, organizations must treat time with the same strict governance and discipline typically reserved for financial capital. Implementing a “Chief Time Officer” model can bring the necessary executive accountability, controls, and forecasting rigor to schedule performance. By establishing a single source of truth, focusing reviews on active decision-making rather than data reconciliation, and using early warning indicators, leadership can significantly reduce the gap between a problem emerging and the organization’s response.

For instance, one global data center portfolio that replaced fragmented reporting with unified schedule intelligence successfully slashed reporting overhead by 90% and estimated project delays by 20%, saving over $100 million in potentially lost revenue.

This content originally appeared on the Foresight website and has been adapted for syndication on Data Center POST. Read the complete blog here.