Data governance has long struggled to keep pace with the rapid growth of new data sources, formats, and silos. Traditional approaches rely heavily on manual work, leaving data stewards overwhelmed and limiting their ability to maintain accurate context and curation. With outdated processes and insufficient resources, organizations risk falling behind as data ecosystems expand. To remain competitive, businesses must rethink governance by moving away from rigid, top‑down methods and adopting modern, scalable strategies that support automation, collaboration, and deeper data understanding.

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