How Companies Are Cutting Data Analytics Costs by 50% With Data Lakehouse Migrations
Security Boulevard, Friday, June 5th, 2026
Data lakehouse migrations consolidate warehouses and lakes into one platform, cutting analytics costs 50%+ while boosting AI readiness.
The article explains how companies cut analytics and infrastructure costs by half or more by migrating to a data lakehouse, which unifies separate data warehouses, data lakes and analytics environments into a single platform.
Savings come from reduced storage, compute, software licensing and maintenance spend, plus less duplication since the same data is no longer stored across multiple environments; one pathology lab consolidated 21 data sources for roughly a 50% compute reduction.
Beyond cost, the true ROI includes productivity gains, faster decision-making, stronger governance and greater AI readiness through unified, real-time data. The trend is broad, with about 67% of organizations planning to make the lakehouse their primary analytics platform within three years.