Define what must reconcile
Agree the business measures that prove the migrated or transformed data is usable.
SAP · UK & EUROPE
SAP Data Migration
SAP Data Migration for programmes where trusted data matters more than simply moving records.
THE PROBLEM
What is really going wrong
Data work fails late when extraction, transformation, quality and reconciliation are owned by different teams. A load can complete successfully while finance, operations or reporting still disagree with the result.
OUR APPROACH
How Liditech solves it
Select each step to see how we would move the work forward without turning it into a larger programme than necessary.
Trace the lineage
Make transformation logic visible from source through target and reporting.
Test with business evidence
Use realistic volumes, exceptions and reconciliation rather than row counts alone.
Make ownership explicit
Name who resolves quality issues before and after go-live.
WHAT WE EXAMINE
What we look at first
- Source ownership, history and data quality
- Transformation logic, lineage and business rules
- Reconciliation thresholds and sign-off responsibilities
- Reporting dependencies and downstream consumers
WHAT YOU RECEIVE
Useful outputs, not shelfware.
We keep deliverables tied to decisions, delivery and ownership. The exact format changes with the workstream; these are the outputs we would expect to leave behind.
01
Data quality and lineage view
02
Reconciliation framework
03
Migration or modernisation backlog
WHERE WE FIT
We do not need to replace your existing team to be useful.
Bring us in when migration numbers do not reconcile, reporting teams maintain parallel fixes or ownership of data quality is unclear.
TALK TO LIDITECH
Tell us what is getting in the way.
The current problem, the outcome you need and what cannot be disrupted are enough to start.