SAP S/4HANA Migration
Whether you are executing a Greenfield implementation, a Brownfield conversion, or a Selective Data Transition, we ensure your data is structured, cleansed, and loaded perfectly for the new HANA database structure.
Our Capabilities
We handle every aspect of the data lifecycle during your SAP implementation.
Whether you are executing a Greenfield implementation, a Brownfield conversion, or a Selective Data Transition, we ensure your data is structured, cleansed, and loaded perfectly for the new HANA database structure.
We seamlessly connect to and extract data from a vast array of legacy systems (Oracle, DB2, AS400, custom apps) using secure, high-throughput methodologies.
Pre-migration data profiling identifies anomalies, duplicates, and missing values. We establish cleansing rules to ensure only high-quality master data enters your new SAP system.
Automated reconciliation reports provide financial and record-count balancing between legacy and SAP systems, ensuring 100% data fidelity for auditor sign-off.
We create secure, anonymized, and logically consistent test data subsets for QA and UAT environments, ensuring compliance with data privacy regulations (GDPR).
Accelerated data transfer strategies for moving your SAP workloads to AWS, Azure, or Google Cloud Platform, optimizing network bandwidth and downtime windows.
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.
Technologies
Core Migration
ETL & Quality
Advanced Migration
Legacy Loading
Transformation
Data Profiling
FAQ