Manufacturing · data migration
Standardising migration rules across a 20-country SAP programme
Profiled, cleansed, matched, and validated complex ERP data across a 20-country SAP migration programme using reusable data-quality rules.
Delivered engagementThe challenge
A global manufacturing migration required consistent profiling, cleansing, matching, and transformation rules across data originating from 20 countries.
Local variation and inconsistent source quality made a one-off migration script insufficient for repeatable validation and programme governance.
What Monic delivered
Monic supported data profiling, reusable quality rules, standardisation, migration mapping, reconciliation, and issue resolution across the programme.
The approach created a common validation language while retaining the ability to identify and resolve country-specific exceptions.
The result
The programme established reusable data-quality and migration rules across the 20-country scope, supporting a more consistent path into the target SAP environment.
What this case demonstrates
The engineering lessons behind the result.
These are the delivery patterns a team facing a similar operating problem should plan for.
Profile before defining rules
Source variation must be measured before global cleansing, matching, and transformation rules can be designed with confidence.
Standardise without hiding exceptions
Reusable rules create programme consistency, while explicit country-level exceptions preserve legitimate local differences and make unresolved issues visible.
Reconciliation needs a common language
Shared definitions for completeness, validity, matching, and acceptance help technical and business teams review migration quality across many rollout groups.