Enterprise/Complex5 monthsFinancial Services

Enterprise Data Infrastructure Modernization

Migrated legacy on-premise data infrastructure to modern cloud platform, enabling self-service analytics for 200+ users and reducing query times by 85%.

Cloud MigrationData WarehousingLegacy Modernization

The Challenge

A Fortune 500 financial services company was constrained by 10+ year old on-premise data infrastructure that couldn't support modern analytics needs.

Pain Points:

On-premise data warehouse couldn't scale to growing data volumes
Complex queries took hours to run, limiting business insights
Only a handful of technical users could access data
Infrastructure maintenance consumed significant IT resources
Regulatory compliance requirements made cloud migration complex

The Solution

We executed a phased migration to cloud data warehouse with robust security, governance, and self-service analytics capabilities.

Our Approach:

Designed cloud architecture meeting stringent regulatory requirements
Implemented zero-downtime migration strategy for 10+ years of data
Built semantic layer enabling self-service analytics
Established data governance framework with automated compliance checks
Created training program and documentation for 200+ business users

The Results

The modernization unlocked significant performance improvements while democratizing data access across the organization.

Query Performance

85% faster

Complex queries reduced from hours to minutes

Self-Service Users

200+ enabled

Business users can now access data independently

Data Volume

10+ years migrated

Complete historical data available in cloud

IT Overhead

70% reduction

Infrastructure maintenance requirements decreased

Technical Stack

Technology Stack:

Cloud: Snowflake on AWS
ETL: dbt, Fivetran
BI Tools: Tableau, Looker
Governance: Alation, Monte Carlo
Security: SSO, RBAC, encryption at rest and in transit

Technical Highlights:

Zero-downtime migration with dual-running validation
Automated compliance checks for regulatory requirements
Row-level security for sensitive financial data
Cost optimization achieving 40% lower TCO than on-premise
Comprehensive data catalog and lineage tracking

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