#data-fragmentation

#data-fragmentation

AI now promises better judgment at scale. Each step has delivered progress. Yet most CX failures haven't stemmed from a lack of tools or technology. They usually result from fragmented incentives, unclear definitions of customer value and inconsistent execution across teams.

In 2026, fragmented data and software complexity cost UK businesses significantly, with over a third of company leaders experiencing revenue loss as a result of delays, inconsistencies and missed opportunities. In fact, data goes on to suggest that the UK economy as a whole rakes in a staggering £32 billion in annual costs from underutilised tools, failed implementations, and integration issues, all of which can be attributed to the disconnected systems employees engage with day to day.

You need a complete, unified view of your audiences and the full landscape of media opportunities to target the right people, at the right place, on the right device,

Martech debt builds up through manual reporting, fragile integrations, and silos. These issues fragment customer data, break campaign attribution, and force teams to rely on shadow spreadsheets to fill gaps between platforms. Current maturity models focus on technology adoption (hello AI!) rather than business outcomes. This misses the structural shift required to escape this cycle.​ Semrush Enterprise evaluates maturity across five interconnected pillars: Progress means moving from patchwork operations to a unified engine where insight, execution, and impact connect and scale together for strategic effect.