80% lower data costs on a modern platform
A regional bank migrated a costly legacy data warehouse to a modern, unified platform — cutting cost dramatically while improving performance.
A regional bank migrated a costly legacy data warehouse to a modern, unified platform — cutting cost dramatically while improving performance.
The bank's legacy data warehouse had become expensive to license and operate, and could not keep pace with growing analytics demand. Reporting was slow, scaling was painful, and every new use case added cost. Leadership needed a modern platform — without risking data integrity or interrupting the business.
Beyondsoft assessed every workload, prioritised by value and risk, and migrated data and pipelines to a Hadoop-based platform in controlled waves. We re-engineered the heaviest pipelines, added automated monitoring, and validated each dataset for integrity before cut-over.
"The new platform costs a fraction of the old one and runs faster — we can finally say yes to new analytics without worrying about the bill."
— Head of Data & Analytics
The bank cut data costs by 80% while roughly doubling query performance. All workloads moved with zero data loss, and managed operations keep the platform healthy and cost-efficient — giving the analytics team headroom to take on new use cases with confidence.
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