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Data teams operated in silos, each with their own structure, technologies, and custom tweaks that accumulated technical debt
No framework was in place to build reliable, uniform, and reproducible pipelines at scale
Delivery cycles were far longer than the business expected, limiting investment and reducing confidence in the department
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