SAP Migration Data Quality Benchmark

Research benchmark Reviewed 2026-06-07 Benchmark language is planning context until replaced by uploaded-data evidence.

Benchmark provenance

SAP Migration Data Quality Benchmark

AI2COE publishes benchmark ranges as planning assumptions, not guaranteed savings. Diagnostic reports replace these assumptions with uploaded-data evidence, confidence tiers, review status, and report-owner metadata.

Research benchmarkPage type

2026-06-07Last reviewed

No ERP write-backGovernance boundary

Canonical sourceReference

Decision-support brief

SAP Migration Data Quality Benchmark buyer brief

SAP migration data quality is the readiness of material records to survive migration without duplicate backlogs, description disorder, and unresolved owner review.

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Who uses itCFOs, COOs, procurement, maintenance, and ERP leaders building a defensible value case before budget approval.

Data neededBenchmark assumptions plus uploaded catalog evidence when a diagnostic is run.

Next actionUse this benchmark only as planning context; run catalog intelligence for customer-specific evidence and confidence tiers.

Short answer

SAP Migration Data Quality Benchmark: what it means.

SAP migration data quality is the readiness of material records to survive migration without duplicate backlogs, description disorder, and unresolved owner review.

What is not claimed: This is not an SAP migration certification and does not replace data migration testing.

What is measured

Duplicate material families
Plant/site spread
Valuation coverage
Description entropy
Owner-review backlog

Benchmark assumptions

Inputs that must be transparent.

MRO data debt often appears late in migration unless diagnosed early.
MARA, MAKT, MARC, and MBEW exports can support a strong first diagnostic.
Material master cleanup should precede conversion pressure.

Calculation model

How the benchmark is interpreted.

The benchmark reviews duplicate families, plant context, valuation coverage, description consistency, and governance-readiness evidence.

How AI2COE uses it

From estimate to evidence.

AI2COE routes SAP buyers toward PartsCleanse AI before SAP MDG, S/4HANA migration, or remediation services are scoped.

Related Industrial IQ engine

Catalog Intelligence.

Run the relevant Industrial IQ diagnostic to replace public assumptions with customer-specific findings, confidence tiers, and report evidence.

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Analyst-style research structure

How this benchmark should be read before a buyer acts.

Research question	SAP migration data quality benchmark for MRO material masters.
Executive summary	SAP migration data quality is the readiness of material records to survive migration without duplicate backlogs, description disorder, and unresolved owner review.
Who should care	CFO, COO, CIO, procurement, maintenance, reliability, and ERP data owners.
Key benchmark insight	SAP migration data quality is the readiness of material records to survive migration without duplicate backlogs, description disorder, and unresolved owner review.
Data required	Public interpretation uses stated assumptions; customer-specific proof requires uploaded operational exports, mapped fields, evidence rows, confidence tiers, and review status.
Limitations	This is not an SAP migration certification and does not replace data migration testing.
How to interpret the benchmark	Use it as executive planning context only. Do not treat the benchmark as a customer result until Industrial IQ analyzes uploaded data and labels confidence, assumptions, and limitations.
What uploaded diagnostic replaces	Benchmark assumptions are replaced by mapped source records, evidence rows, confidence tiers, and score history.
Buyer committee interpretation	Finance reads exposure, operations reads continuity, procurement reads leakage, maintenance reads readiness, and CIO teams read governance risk.
Related methodology	AI2COE benchmark methodology and Industrial IQ diagnostic evidence contract.
Recommended next action	Run Catalog Intelligence

Industrial IQ platform bridge

How this connects to AI2COE Industrial IQ

SAP Migration Data Quality Benchmark is not treated as an isolated content topic. Industrial IQ connects it to uploaded data, engine evidence, confidence tiers, executive reports, actions, score history, and governance review.

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PartsCleanse AIcreates catalog evidence and duplicate-family findings.

InventoryMind AIextends catalog signals into inventory risk, dead stock, excess stock, and stockout exposure.

ProcureMind AIconnects supplier and purchase signals to emergency buying, repeat purchases, and leakage.

FinanceMind AItranslates operating findings into working-capital exposure, carrying cost, and ROI scenarios.

AssetMind AIconnects parts to asset relevance, equipment coverage, and plant-register context.

ReliabilityMind AIconnects spare availability to maintenance readiness, false-stockout risk, and shutdown planning.

ReadyMind AIevaluates ERP, data, governance, and AI readiness gaps before transformation spend.

GovernanceMind AImanages confidence, evidence traceability, human review, and auditability.

Research-to-decision bridge

How leadership should use this benchmark.

SAP Migration Data Quality Benchmark should be treated as an executive planning tool, not a substitute for a diagnostic. It helps a buyer ask the right question: is the exposure large enough to justify a governed review, and what data must be uploaded to replace assumptions with evidence?

Benchmark assumption Public planning range; not a customer-specific result

Uploaded-data proof Customer catalog, field mapping, confidence tiers, and evidence rows

Governed action Owner review, accepted findings, remediation plan, and audit trail

Buyer committee interpretation

CFOUse the benchmark to size possible working-capital exposure, then require uploaded-data evidence before budget approval.

COOTranslate the benchmark into operational risk: false stockouts, downtime pressure, planner trust, and service continuity.

CIOUse the benchmark to test whether ERP exports are clean enough for governed AI or require data-quality remediation first.

ProcurementUse the benchmark to identify supplier overlap, emergency-buying exposure, price variance, and duplicate-stock leakage.

Evidence discipline

What changes after a diagnostic run.

The benchmark becomes a customer-specific result only after AI2COE maps the export, validates field coverage, runs deterministic scoring, produces duplicate-family evidence, assigns confidence tiers, and labels any remaining assumptions.

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FAQ

Questions this research page should answer clearly.

Which SAP fields are useful?

MATNR, MAKTX, MEINS, MFRPN, WERKS, LGORT, quantity, unit cost, and valuation fields are useful.

Does AI2COE write back to SAP?

No. The diagnostic creates evidence only.

Why before SAP MDG?

Because governance scope is stronger when the duplicate backlog is quantified first.

Editorial governance

Reviewed for enterprise decision support.

This research page separates benchmark assumptions from uploaded-data diagnostic outputs so buyers can use it without mistaking estimates for proof.

Content typeResearch benchmark

Reviewed2026-06-07

Claim policyBenchmarks are labelled; uploaded-data evidence is separated from assumptions.