SAP S/4HANA Migration
Secure and structured data migration for greenfield and brownfield S/4HANA implementations.
Our Expertise
We provide specialized SAP data migration services tailored to your enterprise landscape, ensuring a smooth transition to your new system.
Secure and structured data migration for greenfield and brownfield S/4HANA implementations.
Extract and transform data from non-SAP legacy systems with high fidelity and completeness.
Identify, cleanse, and enrich data before migration to ensure high-quality master data.
Accelerate your move to SAP on AWS, Azure, or GCP with optimized data transfer strategies.
Generate compliant, anonymized test data for SAP QA and training environments.
Ongoing data reconciliation, validation, and hypercare support after go-live.
Why Suzlam Technologies
Our focused approach to SAP data migration reduces risk and accelerates your digital transformation.
Decades of specialized experience handling complex SAP landscapes and massive data volumes.
Rigorous reconciliation processes ensure every single record is accounted for and validated.
Optimized cutover strategies to minimize impact on your day-to-day operations.
From initial discovery to post-go-live hypercare, we own the migration lifecycle.
Methodology
A structured, phased approach that guarantees data integrity and successful go-lives.
Analyze source systems, data volume, and quality issues. Define migration scope and strategy.
Analyze source systems, data volume, and quality issues. Define migration scope and strategy.
Create detailed data mapping rules between legacy fields and SAP target structures.
Create detailed data mapping rules between legacy fields and SAP target structures.
Execute data quality rules, de-duplicate records, and format data for SAP readiness.
Execute data quality rules, de-duplicate records, and format data for SAP readiness.
Iterative load testing into QA environments to refine transformation rules and measure performance.
Iterative load testing into QA environments to refine transformation rules and measure performance.
Business user validation of loaded data through predefined reconciliation reports.
Business user validation of loaded data through predefined reconciliation reports.
Final data extraction, load, and validation during the planned business downtime window.
Final data extraction, load, and validation during the planned business downtime window.