This report argues that data modernization initiatives often fail because they focus on technology upgrades rather than strategic intent. It reframes data as a product that must be designed around user needs, business outcomes and trust. The document outlines common anti-patterns such as siloed data platforms, unclear ownership and poor data quality. It introduces principles for purposeful modernization, including domain-oriented data design, governance by enablement and alignment with decision-making workflows. By connecting data strategy to operating models and value streams, the report shows how organizations can unlock analytics, AI and regulatory resilience while reducing complexity and cost.

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