Sparq

Solving BI Bottlenecks with Data Migration + AI

A regional credit union struggled with outdated, manual BI systems that slowed reporting and blocked AI adoption. Using Azure, Snowflake and AI-powered development, learn how Sparq delivered scalable data migration services that cut costs, accelerated reporting, and set the stage for AI in business intelligence.

MatillionMicrosoft AzureSnowflakedbtMicrosoft Azure Data FactoryEnterprise AI & Agentic ReadinessConnected Data & IntelligenceLegacy ModernizationFinancial Services & BankingCase Study
Sparq
Insights from Sparq
january 20, 2025 — 2 minute read

Key Outcomes

3x faster code deployment

by using AI implementation

75% decrease

in SQL license cost savings

Services/solutions

Enterprise AI & Agentic ReadinessConnected Data & IntelligenceLegacy Modernization

Technology

  • Matillion
  • Microsoft Azure
  • Snowflake
  • dbt
  • Microsoft Azure Data Factory

Challenge: Outdated Business Intelligence

A regional credit union had outgrown its on-prem data warehouse. Manual processes and limited scalability created backlogs in critical reports for loan prospecting and risk assessment. Departments lacked access to timely insights, customer satisfaction was slipping, and plans to adopt AI in business intelligence stalled. Our client needed a scalable BI foundation built for growth.

Solution: Data Migration Services with AI-Powered Acceleration

Sparq guided our client through a full-scale modernization:

  • Migrated legacy SQL systems to Snowflake on Azure for scalability, flexibility, and cost savings.
  • Applied AI-powered code development to accelerate migration 3x faster.
  • Implemented CI/CD and source control, enabling cross-team collaboration and system resilience.
  • Validated data pipelines and APIs for reliability and accuracy.
  • Equipped teams with training and roadmaps, ensuring readiness for long-term success.

Results: A Scalable BI Platform Ready for AI

This credit union now runs on a modern Snowflake on Azure-based BI environment, faster, more reliable, and primed for AI in business intelligence. Key outcomes included:

  • 3x faster code deployment using AI-powered migration
  • 75% savings on SQL licensing costs
  • Improved reporting access for all departments
  • A scalable foundation for future AI adoption

With data migration services anchored in Snowflake on Azure and AI-driven acceleration, our client achieved the agility needed to improve service, cut costs, and stay competitive.

Services/solutions

Enterprise AI & Agentic ReadinessConnected Data & IntelligenceLegacy Modernization
Sparq

Sparq is an AI-native digital engineering services firm that helps businesses modernize critical technology, connect fragmented data and intelligence, and put AI into production. We work alongside operators, architects, engineering leaders, and business leaders to improve the systems and workflows businesses depend on, with measurable impact on margin, throughput, capacity, and decision speed. Sparq combines senior engineering expertise, AI-enabled delivery, and production-tested accelerators to move complex initiatives from problem to production faster and with less risk.