Data & Analytics | 8 min read
Data Warehouse Migration Playbook: Minimize Risk and Preserve Business Reporting
A migration framework for modernizing warehouse infrastructure while protecting data trust and reporting uptime.
A data warehouse migration playbook should prioritize continuity and trust. If stakeholders lose confidence in metrics during migration, adoption suffers long after cutover.
Inventory reports, dependencies, and business owners
Map critical dashboards to source systems, transformation jobs, and decision owners.
Design parallel-run validation
Run old and new warehouses in parallel for a fixed window. Validate row counts, business KPIs, and edge cases.
Migrate high-value domains in waves
Wave-based migration reduces blast radius and accelerates learning.
- Finance and billing metrics
- Customer and product usage analytics
- Operational and support KPIs
Lock in governance after cutover
Establish data quality SLAs, lineage visibility, and ownership for ongoing reliability.
Frequently Asked Questions
How long should parallel validation run?
Usually 2-6 weeks depending on reporting complexity and cycle-dependent metrics.
What migration risk is most underestimated?
Semantic drift, where KPI definitions differ subtly between old and new models.
Next Step
SenseSys can help plan and execute wave-based warehouse migrations with measurable validation gates.
Related Services
Data Solutions & Analytics
Data-driven decision making only works when your data is reliable, accessible, and actionable. We build the foundation.
AI & Machine Learning Solutions
Practical AI over hype. We help you identify where AI actually adds value and implement solutions that work in production.
Website Development & Experience Design
From UX architecture to production deployment, we build websites that perform, convert, and scale.