1
Data Discovery & Legacy Assessment
We catalogue all data objects in your legacy systems, understand volumes, quality issues, and business ownership. This forms the foundation of the migration scope and strategy document.
- SAP Services · Data Migration
SAP Data Migration Accurate. Governed. On Schedule.
Data migration is one of the highest-risk activities in any SAP transformation. Get it right and your go-live is clean. Get it wrong and the fallout extends for months. Aevitas IT brings the tools, governance, and experience to migrate your critical business data with confidence.
- What We Deliver
End-to-End Data Migration for SAP S/4HANA
Every SAP transformation — whether greenfield, brownfield, or selective data migration — requires a robust data migration workstream. Aevitas IT manages the complete migration lifecycle: legacy data analysis, data cleansing and harmonisation, mapping, migration execution, reconciliation, and sign-off.
We work with SAP’s primary migration toolset — SAP Business Object Data Services (BODS), SAP LTMC (Legacy Transfer Migration Cockpit), and LSMW — as well as custom ABAP-based migration programmes for complex or non-standard objects. Our data migration planning begins in the Prepare phase, ensuring sufficient lead time for data quality activities that often determine project success or failure.
- SAP LTMC / LTMOM
- SAP BODS
- LSMW
- Custom ABAP Migration
- Greenfield Migration
- Brownfield Conversion
- Selective Data Migration
- Data Quality Management
End-to-End Data Migration Process
STEP 1
Legacy
Systems
Legacy
Systems
STEP 2
Extract &
Profile
STEP 3
Cleanse &
Map
STEP 4
Mock Runs
& Validate
STEP 5
SAP
S/4HANA
- Migration Process
How We Migrate Your Data
2
Data Cleansing & Harmonisation
Legacy data is rarely clean. We work with business owners to identify and resolve duplicates, gaps, outdated records, and inconsistencies — improving data quality before it reaches the new system, not after.
3
Mapping & Transformation Design
Each data object is mapped from its legacy structure to the SAP target structure. Transformation rules handle data conversion, code harmonisation, and field population logic — documented in a migration mapping specification.
4
Migration Mock Runs
Multiple migration dress rehearsals are executed in development and QA environments. Each run is reconciled against source data, and issues are resolved iteratively — so the production migration is a rehearsed event, not an experiment.
5
Production Migration & Sign-Off
The final migration is executed during the cutover window with real-time monitoring. Post-migration reconciliation confirms completeness and accuracy before business sign-off is obtained and the system goes live.
- PROVEN IN THE FIELD
Location: Multi-country programme across 20+ countries
Establishing SAP Master Data Governance across 20+ countries
A global organisation needed a more consistent and governed approach to master data across finance, materials and business partner records. Aevitas IT implemented SAP Master Data Governance on SAP S/4HANA 2023 across more than 20 countries and for over 2,000 users, helping establish more consistent data and stronger governance across the organisation.
AI-Assisted Data Quality & Migration
Data quality is the foundation of effective AI in SAP. Joule and SAP’s embedded AI models rely on accurate, consistent master and transactional data to deliver reliable insights and automation. Aevitas IT uses AI-assisted data profiling tools to identify quality issues faster, suggest transformation rules, and detect anomalies in migration output — improving both migration quality and your long-term AI readiness.
- AI-assisted data profiling detects quality issues at source, before mapping begins
- Automated reconciliation tools verify migration completeness across large data volumes
- Clean, harmonised master data is a prerequisite for effective SAP Joule and Business AI
- Data Migration
The Aevitas Advantage in Data Migration
Tool-Agnostic Expertise
We are proficient across SAP’s full migration toolset — LTMC, BODS, LSMW, and custom development — selecting the right tool for each object type and migration complexity.
Business-Led Approach
Data migration is not just a technical activity. We engage business owners throughout — ensuring data quality decisions are made by people who understand the business impact of getting it wrong.
Early Start, Fewer Surprises
We start data migration planning in the Prepare phase — months before the migration runs begin. This gives sufficient time to address quality issues that a rushed approach would carry forward into production.
Greenfield & Brownfield
Whether extracting data from non-SAP legacy systems (greenfield) or using SAP’s native migration options for ECC-to-S/4HANA conversions (brownfield), we have the experience for both.
Want a trusted partner for your SAP data migration?
- FAQ
Frequently Asked Questions
How do you decide what data actually needs to migrate?
Not everything in a legacy system deserves a seat in the new one. We work with business owners to classify data as migrate, archive, or discard, moving clean master data and open transactions, while historical records that only need to be retrievable (not actively processed) are often better handled through an archive or reporting layer instead.
What's the difference between LTMC and BODS, and when do you use each?
LTMC (SAP's Migration Cockpit) is well suited to master data and standard object migration in S/4HANA-native scenarios. SAP Data Services (BODS) handles more complex transformations, larger volumes, and non-standard source systems. Many projects use both, matched to the object type and complexity involved.
How do you validate data quality without slowing the project down?
Through iterative mock migration runs rather than a single validation pass at the end, each cycle surfaces data quality issues early enough to fix at the source, with AI-assisted validation tooling helping flag anomalies across large data volumes faster than manual spot-checks alone.