Value-First Data — Unified Customer View Part 4

Chris Carolan and Klemen Hrovat (Casey out this week) take the Unified Customer View deeper, framing it as essential for both human users and AI systems. Their argument: a successful UCV is more than data entry — it needs business alignment, a well-defined data model, and a focus on context rather than isolated properties. Data should be visible and readily accessible, telling a customer's story so a user can grasp the relationship at a glance; associations between records get singled out as a relationship-management component that must be clearly defined for both humans and AI. A core theme is validation — making sure foundational elements like the Value Path stage actually work and are genuinely visible to everyone, and surfacing the common failures (properties not appearing, broken associations, access limits). They also discuss AI tooling and UI extensions for streamlining implementation, with documenting the desired view as a reliable early, high-value step.