Utility ERP Migration Reconciliation
Migration reconciliation should establish that the target contains the intended population and values. Start with counts and identifiers, then examine financial totals and selected detailed records.
Utility ERP Migration Reconciliation
Separate transformation differences from missing or duplicated data. An approved mapping may change the presentation while preserving the intended business meaning.
Start with the business outcome and the process boundary. A migration is easier to evaluate when the team knows which records, users and decisions must work in the target environment. Avoid defining success only as a completed technical load. Include the ability to reconcile, operate, review exceptions and retrieve the evidence needed after the transition.
Work through the essentials
- Save the source selection and mapping version.
- Compare counts and control totals.
- Trace exceptions to individual records.
Separate the chosen SAP product, edition and release from broad marketing labels. Capabilities, migration tools and supported patterns can differ. Record the exact target environment and verify detailed behavior against its documentation and project design. A technique demonstrated in another system is a candidate for evaluation, not automatic proof that it is available or appropriate here.
A worked scenario
Two target records may legitimately replace one legacy record under an approved design. The reconciliation should explain that relationship instead of forcing a one-to-one match.
Use repeated trial runs to discover process weaknesses, not merely to improve execution speed. Each rehearsal should record elapsed time, failed records, manual work and reconciliation results. Resolve the cause of failures where possible and document approved workarounds where necessary. A faster run with the same unexplained differences is not a complete improvement.
Keep this limitation in view
Do not accept matching grand totals as proof that values belong to the correct entities or objects.
Make acceptance criteria specific enough to stop an unsafe handoff. State what must reconcile, which critical scenarios must work and who can accept residual issues. A general statement that testing is complete leaves too much room for interpretation. Record unresolved items with their business effect, owner and agreed treatment before the final decision.
Build the review into ordinary work
Use representative data deliberately. A clean standard case proves only that one path can work. Include a boundary case, a correction and a realistic incomplete record where relevant. Explain why each scenario belongs in the test pack so the suite does not become a long collection of examples with no clear coverage purpose.
Keep assumptions visible and reviewable. An assumption about data availability, user capacity or process timing can quietly become part of the plan. State what evidence would confirm it and when the team needs that evidence. If it proves wrong, update the affected scope, schedule and acceptance criteria rather than leaving the old plan unchanged.
Validate relationships as well as individual fields. A code can be valid on its own but inconsistent with the company, service, location or project to which it is assigned. Test those combinations using representative records. A list of technically valid values is not enough to establish that the business relationships are correct.
What the finished work should show
Retain a source-to-target reconciliation with approved transformations and resolved exceptions.
Related reading
SAP Custom Reports During Utility Transformation; Legacy Data Access After SAP Migration; Utility SAP Hypercare Handoffs.