The hidden cost of DIY and legacy data integration

Enterprises are investing heavily in data — but most aren’t seeing the return. Despite $29.3 million in annual data spend, a meaningful portion is lost to pipeline failures, downtime, and maintenance-heavy systems that slow analytics and AI. Based on a global survey of 500+ C-suite data and technology leaders, see where data investments break down and what separates high-performing, AI-ready organizations from the rest.