Organizations recognize data’s importance but struggle to convert it into measurable value. Data modernization addresses this by transforming data into actionable “data products” such as analytics, dashboards, and AI models. It requires a shift beyond technology to a business-led strategy with accountability, governance, and ROI tracking. Key steps include defining a clear data/AI strategy, integrating siloed data into federated platforms, building AI-ready infrastructure, and modernizing governance for security, trust, and compliance. Ultimately, modernization enables scalable, high-quality data foundations that support AI adoption, improve decision-making, and drive enterprise-wide value creation.

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