SAP data leads, enterprise architects, and migration teams that need repeatable matching and correction rules without hiding exceptions inside manual workbooks.
Whether data transformation can remain explainable, reversible, and customer-local from source profiling through target reconciliation.
Decision context
Moving rows is only one part of SAP data migration. Teams must decide which source wins, how duplicates are resolved, which values may be normalized, how missing attributes are enriched, and which mismatches should stop release. Those decisions become operational policy and deserve versions, owners, and evidence.
Adranum models exact and fuzzy matching, dictionary correction, copy, lookup, concatenate, default, and deduplication rules as governed contracts. A preview shows proposed changes and reconciliation impact before an exact plan is approved. The customer operator applies only that plan and returns per-record outcomes and aggregate attestations.
Every transformation retains the source record hash, rule version, target record hash, and decision state. That makes a correction reviewable and gives rollback an exact checkpoint rather than a best-effort reverse script.
What the workflow must cover
Data-quality profiling
Measure completeness, uniqueness, valid domains, duplicate candidates, and configured anomalies from authorized datasets while preserving the boundary between observed evidence and inferred recommendations.
Governed matching and enrichment
Apply normalized edit-distance thresholds, exact dictionaries, lookups, copies, defaults, and concatenation with versioned rules and explicit approval.
Idempotent synchronization
Dry-run an exact write and delete plan, bind approval to its hash, execute once, and store each downstream outcome beside the original decision.
Reconciliation and rollback
Compare source, target, and delta counts and hashes. Restore exact prior records through inverse operations and verify the post-rollback state.
Implementation workflow
Start with a bounded customer scenario and explicit acceptance criteria. Preserve native SAP permissions and accountable review while the software creates a repeatable evidence chain.
- Register source and target object contracts.
- Profile quality and review coverage gaps.
- Draft matching, correction, enrichment, and conflict rules.
- Preview and approve the exact synchronization plan.
- Apply customer-locally, reconcile outcomes, and retain recovery checkpoints.
Evidence to require
A transformation claim should resolve to observable artifacts, decisions, and execution receipts. Ask for the following evidence in a representative evaluation:
- Source and target record hashes
- Match score and threshold
- Rule version and reviewer
- Dry-run plan hash
- Per-record execution outcome
- Reconciliation count and state hash
- Rollback inverse operation and verification
Boundaries and non-claims
Adranum separates analysis, proposal, human review, package creation, customer-local validation, and production execution. A later state never rewrites the evidence that supported an earlier decision.
- Adranum does not invent business ownership for conflicting records.
- Fuzzy matches below governed thresholds remain unresolved.
- Customer teams remain responsible for lawful data access, retention, and target-system authorization.
Buyer checklist
- Can reviewers see why two records matched?
- Does changing a rule create a new version?
- Is approval bound to the exact plan?
- How are partial failures reconciled?
- Can deletes and overwrites be restored exactly?