Beyond the Broken PDF: Reconstructing Sustainability Policy Analysis from Fragmentary Data
In a data ecosystem where critical documents are corrupted or unparseable, analysts and policymakers face a hidden cost: the loss of evidence-based insight. This article explores the economic and strategic implications of fragmented data in sustainability policy analysis. It argues that the inability to extract structured facts from key reports creates a ''data shadow,'' forcing decisions on incomplete information and inflating verification costs. By examining alternative methods—crowdsourced validation, semantic inference, and AI-assisted reconstruction—the article provides a roadmap for turning unstructured noise into actionable intelligence. It delivers a deep audit of how organizations can adapt their information architecture to thrive despite broken data streams.