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Is Your Data Team Trapped in Endless ETL Cycles, While AI Innovation Waits? That bottleneck in your data pipeline isn't a glitch: it's the entire system. Your data engineering team is consumed by a costly, manual swamp of mapping, harmonization, and restructuring, spending up to 50% of their budget on brittle ETL pipelines while your board demands AI breakthroughs. Clinical databases take months to build, and insights are perpetually delayed by fragmented data and overwhelmin