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Data Analytics TRL TRL 9

Cloud-Native Data Warehouse Transformation

domain Client: Top 10 US Bank (Credit Card Issuer) handshake Provider: Snowflake schedule Deploy: 3 Years
97 Impact
Enterprise Ready
Evidence Score: 10/10
Strength: Tier 1

Executive Summary

ANALYST: COI RESEARCH

Complete migration from legacy on-premise data warehouses to a cloud-native data platform, enabling elastic scaling of compute and storage for enterprise analytics.

rate_review Analyst Verdict

"The benchmark for cloud-first data strategy in banking. By decoupling storage from compute, the bank solved the 'Monday Morning' resource contention problem that plagues legacy stacks."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

The bank's on-premise legacy data warehouses (Teradata) were unable to scale efficiently to meet the exploding demand for real-time analytics and concurrent user queries. During peak times, such as Black Friday or end-of-month reporting, analysts faced significant query latency or failures due to resource contention. The rigid hardware procurement cycles meant the bank had to over-provision capacity for peaks, resulting in massive inefficiency and cost waste during off-peak hours.

psychology The Solution

The institution executed a complete migration to the Snowflake Data Cloud, effectively decoupling compute from storage. This architecture allows the bank to instantly spin up separate virtual warehouse clusters for different workloads—isolating marketing analytics from fraud modeling and regulatory reporting—ensuring they never compete for resources. The platform supports the ingestion of semi-structured data and allows thousands of concurrent users to query the same live data without performance degradation.

settings_suggest Technical & Deployment Specs

Integrations
AWS Ecosystem, Tableau, Databricks
Deployment Model
Public Cloud (SaaS)
Data Classification
Confidential
Estimated TCO / ROI
Shift from fixed CapEx to variable OpEx
POC Summary (2016-01-01 to 2017-01-01)

"Migration of credit card risk analytics."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Cost Sprawl Medium Strict FinOps governance and auto-suspend policies.

trending_up Impact Trajectory

Audited value realization curve

Unlimited Concurrency Scaling (Verified) Verified Outcome
Primary KPIZero On-Premises Footprint
Audit CycleReal-time Fraud Modeling support

policy Compliance & Gov

  • Standards: CCPA, GLBA
  • Maturity (TRL): TRL 9
  • Evidence Score: 10/10
  • Data Class: Confidential

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for Top 10 US Bank (Credit Card Issuer) without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-409
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-409

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