Snowflake · Financial Services

Snowflake Cortex powers regulatory analytics for a global bank

60% faster reporting · Cortex Analyst for self-serve on governed data

ClientTier-1 global bank
Duration18 months (part of broader consolidation)
Industry Financial Services →

At a glance

Key metrics

60%
faster regulatory reporting
4,200+
self-serve users
0.007%
variance vs. legacy at final cutover

Challenge

The situation

Regulatory reporting depended on manual reconciliations across 14 marts. Self-serve was impossible without a trusted semantic layer.

Approach

How we delivered

  1. 01 Consolidated on Snowflake with Cortex Analyst over a governed semantic layer.
  2. 02 Retired 14 legacy marts through a parallel-run migration factory.
  3. 03 Enabled 4,200+ users on self-serve with policy-based masking.

Architecture

Solution architecture

Snowflake multi-region with secure data sharing. dbt semantic layer. Cortex Analyst over certified models. Collibra + Atlan for governance and lineage.

Architecture diagram placeholder Data flow across source systems, platform, governance, and activation layers.

Outcomes

Measured results

  • 60% cycle-time reduction.
  • $22M run-rate savings from platform retirement.
  • 0.007% variance against legacy at final cutover.

Technology

Tech stack

Platform

  • Snowflake
  • Cortex Analyst
  • Snowpipe

Transformation

  • dbt Core
  • Great Expectations

Governance

  • Collibra
  • Atlan

“Cortex made the semantic layer useful to every business user, not just analysts.”

— Head of Finance Analytics

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