"Rapida acted as a true strategic partner rather than just a delivery vendor. Beyond execution, the team consistently shared knowledge, introduced new technologies and methodologies, and helped upskill our internal team. Their support mindset and collaborative culture stand out since they are proactive, highly engaged, and willing to go beyond the formal scope to solve problems. By connecting business requirements with technical solutions, Rapida consistently delivered premium-quality outcomes with strong long-term value."

Head of Data Strategy
QSR

90 Days to Migrate

$100K+ Annual Savings

0 Reporting Outages

Executive Summary

A leading quick-service restaurant (QSR) operator in Southeast Asia needed to address rising costs and performance constraints on Amazon Redshift.

Rapida Solutions migrated the full platform to Snowflake in approximately 90 days, covering the data warehouse, pipelines and Power BI analytics, without any outage to business reporting.

Outcomes included significantly improved performance, approximately US$100,000 in annualised savings and a modern foundation to unlock AI initiatives using Snowflake's native capabilities.

Background

As adoption grew, the client faced:

  • High and increasing costs to sustain data workloads and concurrency

  • Lower analytics performance impacting self-service reporting

  • A need to move beyond traditional BI into production-grade AI

What Rapida Delivered

  • Migrated the entire data warehouse, including models, historical data and workload patterns

  • Transitioned pipelines with validation and operational controls

  • Maintained Power BI continuity throughout the migration

  • Optimised compute and queries using Snowflake best practices

  • Enabled AI readiness through a governed Snowflake foundation

Results

  • Zero outage for business reporting during migration and cutover

  • Material performance uplift across analytics workloads

  • Approximately US$100,000 annualised savings

  • A practical path to deploy enterprise AI using Snowflake Cortex and native AI capabilities

Why It Worked

  • Humans-first delivery – collaborative execution, strong communication and stakeholder alignment

  • Strategic partnership – focused on long-term outcomes, not just migration

  • Data passion with discipline – rigorous validation, reconciliation and testing

  • Certified Snowflake expertise – proven optimisation and workload management patterns

  • No-risk cutover approach – parallel runs and structured testing protected the business from disruption