Centralizing data is essential for enterprises to unlock analytics, predictive insights, and AI at scale. Legacy systems and fragmented pipelines slow decision-making, with 83% of organizations struggling to unify sources and 6% of revenue lost to poor-quality data. Companies like Dropbox, Pfizer, and Deliveroo improved reporting speed and accuracy by eliminating silos. HubSpot and JetBlue used centralized data for predictive models in workforce planning and aircraft maintenance, saving costs and boosting efficiency. Saks and National Australia Bank built AI-ready infrastructures with Fivetran, reducing ingestion costs by 50%, improving ML performance by 30%, and enabling AI-powered personalization and automation.

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