A migration tool can report success while the business still discovers missing relationships, misread dates or unusable reports. Moving records and validating records are different activities. Whether you are replacing a spreadsheet process, moving a CRM or preparing a new ERP environment, agree the evidence of success before the import begins.
Define what each field means
Build a mapping document that names the source field, destination field, format and transformation rule. Preserve identifiers where the new system needs them. Distinguish a genuinely missing value from a valid zero or an empty text field. Decide how duplicated customers, retired products and incomplete addresses should be handled with the business owner rather than allowing a script to guess.
Dates, currencies and status codes deserve particular attention. A correctly imported value may still have the wrong business meaning if the two systems interpret it differently. Keep approved mapping decisions with the project record so later corrections can be explained.
Use representative test data
A sample should include ordinary records and awkward cases: older dates, non-standard characters, large attachments, incomplete fields and records linked to other records. Use only data that the project is authorised to process, and protect it in test environments. A successful demonstration using a clean spreadsheet does not establish that historical operational data will behave the same way.
Reconcile more than totals
Compare agreed source and destination counts, then test individual values and relationships. For example, check that an order still belongs to the correct customer and that its lines refer to the expected products. If business totals matter, define which totals are authoritative and what differences are acceptable. Equal row counts can conceal duplicated, changed or incorrectly linked information.
AWS documents that its migration validation compares corresponding source and target records and reports mismatches. It also states that validation takes additional time and consumes source, target and network resources. That is a useful illustration of why checking needs its own allowance; it is not a promise that one tool supports every source or validates your entire business process.
Keep an exception register
List each failed or uncertain record with an explanation, responsible owner and proposed treatment. Decide whether it must be corrected before launch, can be accepted with a documented limitation or should be excluded under an approved rule. Silent data loss is not an acceptable substitute for an unresolved decision.
Rehearse cutover and recovery
Agree when writes to the old system stop, how late changes are captured and who gives final approval. Specify the evidence that would trigger a pause or rollback. Once staff create new records in the destination, reverting may require reconciling those changes back into the old process. Keep source-retention and recovery arrangements explicit instead of assuming a backup makes every reversal straightforward.
Ask business users to accept the result
Have named users run the reports and workflows they rely on. Capture acceptance evidence and document remaining exceptions before retiring any old environment. Technical import checks and business validation complement one another; neither should be implied by a green status message alone.
Explore data migration services across South Africa and indicative migration scopes. If the destination is a new business system, review CRM and ERP implementation alongside the migration plan so roles, reports and training are not forgotten.