From Poor Data Management to Billions in Losses: Construction Industry Under Pressure
by CIJ News iDesk III 
2025-10-01 
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The construction sector faces mounting losses from flawed data and fragmented communication. A 2021 study by Autodesk and FMI surveyed more than 3,900 industry professionals and estimated that in 2020, “bad data” cost the global construction industry around US$1.85 trillion. The same study attributes 14 % of construction rework—about US$88 billion—to inaccuracies, inconsistencies, or missing information. In the Czech context, the local construction market in 2024 reportedly handled projects worth nearly CZK 700 billion—meaning even minor data inefficiencies could translate into losses amounting to billions of crowns. PlanRadar, a digital construction documentation and management software provider, published an eBook linking those global trends to operational realities. It claims that 90 % of construction projects fail to meet their original timelines due to information flow breakdowns—a figure presented as part of its research-based marketing narrative. It also cites that 38 % of construction firms have experienced data breaches, with average damages around US$3 million. PlanRadar’s own materials describe how delays and disputes often arise when information is stored in paper forms or scattered across emails, versioned files, and disconnected systems. One page states that many project participants spend hours weekly seeking missing data, slowing decisions and driving cost overruns. In response, PlanRadar emphasizes digital document management tools like timestamped logs, centralized data platforms, and unified communication workflows as methods to reduce rework, dispute risk, and inefficiency. The broader construction technology and consulting landscape generally supports the view that data quality and coordination are serious performance levers. However, while some of the precise figures in the PlanRadar report are traceable to its own publications, they should be viewed as illustrative or aspirational rather than independently validated.