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Is Your SAP Migration Data Ready for S/4HANA Cutover?
Download the checklist to assess Business Partner duplicates, mandatory CVI fields, material and finance data consistency, business validation, and correction lineage before SAP Migration Cockpit load.
Why SAP Migrations Slip — And How to Prevent It
Many S/4HANA migration delays are not caused by SAP technology itself, but by data quality issues discovered too late: duplicate customers and vendors, missing mandatory Business Partner fields, inconsistent material data across plants, unclear data ownership, or undocumented corrections.
When these problems appear during mock migration — or worse, just before cutover — they force last-minute remediation under pressure. The cost of fixing data quality issues after the SAP Migration Cockpit has loaded records into S/4HANA is significantly higher than resolving them in the staging layer before load.
This checklist helps your team identify these risks before cutover — not after load errors appear.
The risks this checklist helps you catch early
- Duplicate Business Partner records — customers and vendors appearing multiple times across ECC source systems
- Missing mandatory CVI fields — BP category, BP grouping, country, tax scheme required by S/4HANA but not enforced in ECC
- Unit of measure inconsistencies — materials defined differently across plants, invisible in ECC and blocking in S/4HANA
- GL account configuration gaps — inconsistencies that create Universal Journal reporting errors from day one
- Inactive records in migration scope — adding load and test volume without business valueMissing data owners — cleansing decisions stalling because no one has the authority to validate corrections
- Undocumented corrections — audit trail gaps that surface as control issues after go-live
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What the Checklist Covers
The SAP data migration readiness checklist covers the four data domains that most frequently determine whether a migration goes live on schedule or enters a costly remediation cycle.
- Business Partner readiness: Customer/vendor duplicates · CVI mandatory fields · cross-role entities
-Material Master readiness: Unit of measure consistency · required views · obsolete records
- Financial data readiness: Chart of accounts harmonization · cost/profit center validity
- Governance readiness: Named data owners · business validation · correction lineage
Built for SAP Migration Teams
This checklist is designed for the people responsible for data quality in an ECC to S/4HANA migration project.
- SAP Project Managers
- CIOs and IT Directors
- MDM Leads and Data Quality Managers
How Tale of Data Helps SAP Migration Teams
Tale of Data helps SAP migration teams profile, deduplicate, remediate, validate, and document staging data before SAP Migration Cockpit load. The platform does not replace SAP or your integrator. It helps make your data ready, reliable, and auditable before it enters S/4HANA.
Tale of Data connects to staging databases — Oracle, SQL Server, Snowflake, Databricks — and runs automated profiling, fuzzy matching for Business Partner deduplication, no-code remediation for business teams, and automatic correction lineage. Deployment takes one month, with no access to your production SAP system required.
Frequently Asked Questions
This checklist is a data quality assessment tool for SAP ECC to S/4HANA migration projects. It covers the 10 data quality checks that migration teams should validate in the staging layer before the SAP Migration Cockpit loads data into S/4HANA. It includes recommended GO thresholds and a scoring grid to identify whether your data is ready for cutover.
The checklist is designed for the pre-migration data preparation phase — after ECC data has been extracted into the staging layer and before the SAP Migration Cockpit runs the load into S/4HANA. For ETI-scale migrations, starting this assessment at least six months before the planned go-live date is a safer planning benchmark.
No. The checklist is a free resource. Downloading it does not commit you to any follow-up or purchase. If you want to assess your actual staging data quality directly, you can optionally request a Flash Audit — which is a separate, no-obligation service.
No. Tale of Data addresses the staging-layer data quality workstream that precedes technical migration: profiling, Business Partner deduplication, no-code remediation, business validation, and correction lineage. SAP Migration Cockpit loads the prepared data into S/4HANA. SAP MDG governs master data quality after go-live. Tale of Data fills the gap between ECC extraction and S/4HANA load.
The Flash Audit is a Tale of Data service that connects to your staging environment and profiles your data in just a few clicks to identify Business Partner duplicate rates, completeness gaps by domain, consistency issues and governance flags before cutover. It delivers a prioritized data quality risk report based on data access and scope — with no access to your production SAP system required.
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Related Resources
SAP Data Migration
Broad overview of the SAP migration process — approaches, tools, risks, and where data quality fits.
SAP Data Migration Best Practices
The 10 data quality checks to validate before cutover — with context and domain-by-domain explanations.
Data Quality Management SAP
How to operationally manage SAP data quality before migration — tool comparison and approach selection.
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