Enterprises do not struggle with moving data. They struggle with moving logic, dependencies, lineage, and trust.

Quick facts:

97% of organizations say AI is urgent, yet 92% are unprepared due to fragmented, siloed data. (Source) Up to 30% of cloud spending was wasted in 2025. This is equivalent to a waste of $217 billion. (Source) 60% of traditional cloud migrations underperform or need to be reversed. Without post-migration optimization, companies cannot manage expenses nor monitor performance. (Source) Most legacy data warehouses were never designed for AI, real-time analytics, or elastic compute. 

They were built for structured reporting, batch processing, and historical analysis. Over decades, scripts layered on scripts. Pipelines layered on pipelines. Custom transformations accumulated. Institutional knowledge replaced documentation.