Solving BI Bottlenecks with Data Migration + AI

Challenge: Outdated Business Intelligence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.