The document explains why many centrally managed data programs fail and how organisations can shift to a model that enables faster, more trustworthy data-driven decisions. It highlights common pitfalls such as low data quality, lack of trust, slow experimentation, and bottlenecks caused by centralised data teams. The paper argues for federated data practices where business units own their data domains, supported by a central team focused on governance and platform stability. By embedding DataOps, improving data literacy, and enabling rapid iteration, organisations can integrate analytics into everyday decision-making, accelerate innovation, and achieve better business outcomes.

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