Services
Strategy & Planning
We define a clear migration roadmap by identifying risks, dependencies, and compliance requirements to ensure a controlled and predictable migration process.
- Full migration strategy and roadmap
- Identification of risks, dependencies, and data quality issues
- Governance, compliance, and retention planning
- Migration rehearsal planning (dress rehearsals, dry runs)
Data Profiling & Quality Management
We analyse and improve data quality by identifying inconsistencies, duplicates, and gaps to ensure clean and reliable data before migration.
- Data profiling to identify gaps, duplicates, anomalies
- Data cleansing and remediation rules
- Data quality scoring and improvement cycles
- Legacy data assessment (formats, encodings, relationships)
Mapping & Transformation
We design accurate source-to-target mappings and transformation logic to ensure data is transferred without loss or corruption.
- Source to target mapping documentation
- Gap analysis between legacy and target schemas
- Lossless reformatting and transformation pipelines
- ETL / ELT design and build (SQL, SSIS, Azure Data Factory, etc.)
Migration Execution
We execute secure, automated migrations using scalable pipelines that support large volumes of data across hybrid environments.
- Automated migration pipelines
- Parallel processing for large datasets
- Incremental, delta, and full loads
- Secure transfer between on-prem, cloud, or hybrid systems
Testing & Validation
We validate migrated data through multi-level testing to ensure accuracy, completeness, and audit readiness.
- Multi-level testing: unit, system, UAT, reconciliation
- Data integrity checks
- Referential integrity validation
- Audit-ready reconciliation reports
Cutover & Go-Live Support
We manage final cutover and go-live activities with structured planning, ensuring smooth transition and post-go-live stability.
- Dress rehearsals and cutover planning
- Final data load and verification
- Hypercare support post go-live
- Rollback planning and contingency