CASE STUDY

Global Bank: Data Warehouse Modernization on Snowflake

A global bank migrated from a legacy enterprise data warehouse to Snowflake. Query performance up 14×; data-engineering team capacity up 38%.

May 9, 2026 · 2 min read · By admin

At a glance

Industry: BFSI
Topics: Data & Analytics · Data Warehousing
Published: May 2026
Headline outcome: 14 Query performance: 14× faster at…

Measured outcomes

What this programme actually delivered.

Query performance: 14× faster at p99

+38%

Data-engineering team capacity: +38%

240

Governance: 240+ data products classified + lineage-tracked

22%

Cost: down 22% on legacy decommissioning

The challenge

A global bank’s legacy enterprise data warehouse couldn’t scale with regulatory + analytical demand. Query queues ran for hours; data-engineering teams were overloaded.

What we built

Snowflake-based modern data platform. Phased migration of 240+ data products. Federated permission model for governance. Continuous-data-quality framework.

Outcomes

Query performance: 14× faster at p99
Data-engineering team capacity: +38%
Governance: 240+ data products classified + lineage-tracked
Cost: down 22% on legacy decommissioning

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Global Bank: Data Warehouse Modernization on Snowflake

What this programme actually delivered.

The challenge

What we built

Outcomes

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