Methodology-driven BI migration — not just technology transfer, but a complete transformation of your analytics ecosystem.
BI migration is more than moving reports and data from one platform to another. At Integratie, we treat migration as a complete transformation opportunity — rethinking data models, optimizing performance, and modernizing your analytics architecture for long-term success.
Our methodology-driven approach ensures every migration is planned, validated, and executed with precision — minimizing risk, reducing downtime, and delivering a platform that outperforms the original.
Data migration must be designed for optimal long-term performance. We don't just replicate legacy structures — we redesign them to take advantage of modern platform capabilities, improved data models, and contemporary best practices.
Our three-phase methodology ensures nothing falls through the cracks, every stakeholder is aligned, and the migration delivers measurable business value — not just a technology swap.
Identify resources, define scope, and establish the migration roadmap. We map all reports, data sources, user access, ETL jobs, and dependencies to create a comprehensive migration plan with clear milestones and risk mitigation strategies.
In-depth assessment of the current environment — performance baselines, capacity requirements, usage patterns, and technical debt. We identify optimization opportunities and design the target architecture for maximum performance and scalability.
Execute the migration using proven tools, guidelines, and templates. Each component is migrated, validated, and tested against defined acceptance criteria. We run parallel environments during transition to ensure zero data loss and minimal business disruption.
Migrate all reports, dashboards, and visualizations — preserving business logic, formatting, schedules, and distribution lists while upgrading to modern rendering engines.
Convert ETL workflows across platforms — mapping source-to-target transformations, validating data lineage, and optimizing load sequences for the new environment.
Redesign and migrate dimensional and relational data models — optimizing for the target platform's strengths while maintaining backward compatibility where needed.
Migrate user accounts, roles, permissions, and row-level security — ensuring post-migration access controls match or exceed the original configuration.
Convert and optimize semantic layers, universes, and business views — maintaining business-friendly naming conventions and calculated measures.
Recreate report schedules, event triggers, automated distributions, and alerting — ensuring business operations continue uninterrupted after migration.