Complete data infrastructure modernization
Complete migration from legacy data systems to modern, scalable infrastructure. We handle everything from planning to deployment, plus customer-facing analytics.
What's included in our data warehouse migration service
- Complete infrastructure assessment and migration planning
- Modern data warehouse setup (Snowflake, BigQuery, or Postgres)
- Data pipeline migration and optimization
- Customer-facing analytics platform integration
- Security and compliance setup
- Team training and documentation
- Performance monitoring and optimization
- 3 months of post-migration support
Why consider a data warehouse migration?
Most SaaS companies built their data infrastructure years ago when their needs were simpler. As businesses grow, these legacy systems become bottlenecks that limit growth, slow down analytics, and make it impossible to offer customer-facing insights.
A modern data warehouse migration isn't just about better performance—it's about unlocking new revenue opportunities through customer-facing analytics while reducing the maintenance burden on your engineering team. If you're weighing how to deliver those insights, our complete guide to embedded analytics walks through the architecture and build-vs-buy trade-offs.
Common signs you need a migration
- Slow analytics: Reports take hours or days to generate, limiting real-time decision making
- Engineering overhead: Your team spends more time maintaining data infrastructure than building features
- Scaling limitations: Your current system can't handle growing data volumes or user loads
- Limited customer insights: You can't offer customers the analytics they need because your infrastructure won't support it
Our migration process
We follow a proven methodology that minimizes downtime and ensures a smooth transition to your new data infrastructure.
Discovery and assessment
We analyze your current data infrastructure, identify pain points, and create a comprehensive migration plan tailored to your business needs.
- • Infrastructure audit and documentation
- • Data volume and performance analysis
- • Security and compliance requirements review
- • Stakeholder interviews and requirements gathering
- • Timeline and resource planning
- • Risk assessment and mitigation strategies
Infrastructure setup
We provision and configure your new data warehouse infrastructure using modern cloud platforms optimized for your specific requirements.
- • Cloud data warehouse provisioning (Snowflake, BigQuery, Postgres)
- • Security configuration and access controls
- • Network setup and optimization
- • Monitoring and alerting implementation
Data migration and validation
We migrate your data using proven ETL processes, validate data integrity, and ensure zero data loss during the transition.
- • Historical data migration with validation
- • Data pipeline setup
- • Data transformation and cleaning
- • Comprehensive testing and quality assurance
Customer-facing analytics integration
We integrate our customer-facing analytics platform so you can immediately start offering powerful insights to your customers.
- • Sumboard analytics platform setup
- • Custom dashboard development
- • White-label customization
- • Multi-tenant configuration
Go-live and support
We manage the cutover to your new system and provide ongoing support to ensure optimal performance.
- • Coordinated system cutover
- • Team training and documentation
- • Performance monitoring setup
- • 3 months of dedicated support
Real migration success stories
See how companies have transformed their data infrastructure and unlocked new revenue opportunities through migration — including how Cashpad shipped customer-facing analytics after modernizing its data stack.
Investment and timeline
Typical migration projects range based on complexity and scope
Standard migration
Enterprise migration
ROI typically realized within 6-12 months
Through reduced engineering overhead, faster analytics, and new customer-facing analytics revenue