Data migration · SAP rollout
Start SAP S/4HANA on the right foot.
4MDG handles data migration to SAP — from legacy systems to SAP and from ECC to S/4HANA — cleansing and standardizing master data at the source before load. We cover master and transactional data, with documented source-to-target mapping, load tests and a controlled cutover, so your new environment is born clean, reliable and ready to operate.
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Integrations
Why ERP projects fail
SAP projects don't slip because of the system. They slip because of the data.
Data quality assessment is one of the most skipped steps before go-live — and the one that costs the most later.
68%
of ERP projects fail or miss their objectives, reaching 73% in discrete manufacturing. Panorama Consulting / Godlan, 2026.
38%
of failure cases have data migration as the cause — the second largest of all. Panorama Consulting, 2026.
189%
of the planned budget is the observed budget-overrun ceiling, with 215% in manufacturing. Panorama Consulting, 2026.
US$ 12,9M
is the average annual cost of poor-quality data per organization. Gartner.
The legacy data diagnostic shows the real size of the job.
What we migrate
Master data and transactional data — the entire project.
The migration object list below is illustrative: the real scope is defined in Fit-to-Standard workshops, object by object.
Master data
The foundation that supports everything.
Transactional data
What keeps the operation running at go-live.
Scope per object is closed in the Fit-to-Standard workshops.
The difference
Migrating dirty data is migrating problems. That's why we cleanse before loading.
Before loading, we cleanse the main master data — material, supplier and customer: deduplication, description standardization, enrichment and validation against official sources, using AI and more than 600 public databases. So S/4HANA is born with a golden record, not a replicated legacy.
Deduplication and golden record
Similarity matching with scoring, survivor suggestion and attribute-by-attribute survivorship.
Description standardization
Family-based taxonomy, attribute templates and rule-generated descriptions, supported by ADAM.
Tax and registry validation
Business registration number, state registration, certificates, product classification and registry status checked at the official source.
Attribute enrichment
Technical fields, units of measure, packaging, translation and classification completed before load.
We cleanse material, supplier and customer data before load.
How it works
A methodology integrated with SAP Activate, with quality control at every phase.
PHASE 01
Discover
Legacy quality assessment, data profiling and a risk map per object.
PHASE 02
Prepare
Cutover strategy, 4MDG platform setup and load test plan.
PHASE 03
Explore
Fit-to-Standard workshops, source-to-target mapping and transformation rules per migration object.
PHASE 04
Realize
Advanced ETL, active cleansing and load tests (mocks) with fixes before the final load.
PHASE 05
Deploy
Controlled cutover, with real-time monitoring and acceptance criteria per object.
PHASE 06
Run
Ongoing governance to keep data integrity after go-live.
Every phase with quality control and acceptance criteria.
Deliverables
You receive artifacts that prove the work and support audits.
Mapping documents
Source-to-target per object, transformation logic and field-by-field traceability.
Quality reports
Before-and-after cleansing metrics, dashboards per object and an improvement plan.
Cutover plans
Operational checklist, owners, execution windows and acceptance criteria.
Migrated and validated data
The base ready to operate in S/4HANA, with verification evidence per object.
Proof
241k
materials migrated, plus 59k suppliers and 13k customers, with a cleansed and governed base
Companies that entered S/4HANA with 4MDG
Acelen, Amazonas Energia, Baruel and Costa Foods migrated with clean, governed data, across different sectors and scopes.
The artifacts stay with you, for audit and continuity.
Contact
Let's look at your data before proposing anything.
A specialist reviews your scenario and shows the current state of your sector's master data. No commitment.
Av. Queiroz Filho, 1700, Torre E, Conjuntos 715 a 718
Vila Leopoldina, São Paulo, SP, 05319-000
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