A project can have the most advanced AI in the world, but if the data is fractured, the system is dead on arrival. As Rick Catalano emphasizes, your operating model is only as functional as the data feeding it. This breakdown strips away the hype to focus on the two dimensions of data integrity:
The Migration Minefield: Why "moving historical info" is the most common point of failure—and how to ensure your new system doesn't inherit old problems.
Master Data Governance (MDG): Building the "source of truth" so your AI-driven decisions are based on consistent, high-quality entities, not eroded duplicates.
The "Go-Live" Pulse: How to validate data quality before the switch is flipped to avoid post-launch chaos.
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