Plan
Plan the migration
Decided before anyone loads a record.
- Migration Architecture
- Migration Governance
Enterprise Data Labs · Issue 01
SAP S/4HANA Data Migration at Scale.
We move Fortune 50 enterprises to SAP S/4HANA. Every record. Reconciled to the cent.
20+ years · zero-defect conversions · 24/7 global cutover
Proof
Numbers We Put Our Name To.
- Fortune 50
The only scale we work at.
Life Sciences · Industrial Manufacturing · Consumer Products - 0.00%
Variance at the last dress rehearsal.
Signed by the controller - 58 hrs
From source freeze to business release.
Four instances. One weekend.
What We Do
The Data Is the Program.
Integrators build the system. We make sure the business can run on Monday.
Fix
Fix the data
Clean at the source. Owned by your people.
- Data Quality & Cleansing
- Instance Consolidation
Prove
Prove the load
Every load reconciled, signed and run on the clock.
- Reconciliation & Sign-off
- Cutover Execution
Approach
Five Gates. Nothing Passes on Trust.
Every gate ends with a signed reconciliation. Numbers that do not tie do not move on.
- Gate 1
Assess
Source profiling, object inventory, risk register.
- Gate 2
Design
Mapping, load strategy, tolerance matrix.
- Gate 3
Mock Loads
Full volume, every load reconciled and signed.
- Gate 4
Cutover
Dress rehearsal on the real clock, then the weekend.
- Gate 5
Hypercare
Defect triage and data stewardship handed over.
Results
What We Signed For.
Told in the numbers the client's controller signed.
The board had rejected a phased rollout. There was one window and no second one.
Forty-two company codes. Four instances. One weekend.
Four regional ECC instances consolidated into a single S/4HANA tenant. Finance signed the reconciliation before the business was released on Monday. The instances had drifted apart over fifteen years, with different charts of accounts and the same customers created three times under three names.
- 1.8B
Records migrated
- 58 hrs
Source freeze to business release
- 0
Post-go-live data defects
The dress rehearsal came in eleven hours inside the window, which is the margin we wanted.
How We Work
Four Rules. No Exceptions.
Reconcile everything.
A load is finished when counts, values and fields tie to a tolerance finance agreed in writing. Not before.
Rehearse at production volume.
Mock loads use the full data set and the real clock. The cutover weekend should be the fourth time we have done it.
Principals on the floor.
The people who scoped the engagement run the cutover shifts and stay through hypercare.
Leave it fixed.
Data quality rules, owners and tooling stay with your team. We do not want to be called back for the same defect.
Book a Review
Know Where Your Program Stands Before the Board Asks.
Ninety minutes with a principal who has run the weekend. We will tell you what breaks.
Prefer email? review@enterprisedatalabs.com