Validate 100% of your migrated data, not a statistical sample. Decisions compares your legacy records with what landed in SAP and shows exactly what matched, what is missing, and what does not line up, before go-live.
Trusted by organizations running complex, high-stakes operations.
Most SAP data migrations are validated by sampling. Subject matter experts review a small slice of the converted data, often under a compressed schedule, while they are also needed for unit testing and UAT. The records nobody checked are where errors hide, and they surface after go-live as wrong invoices, failed orders, and financial corrections. Data Validation Management replaces sampling with a complete, automated comparison of source and SAP data.
Compare 100% of your legacy data against what was loaded into SAP, so there is no “acceptable” error rate left to chance.
Split names, combined fields, and different structures are mapped automatically. The two systems never need to look alike to be compared.
Set up a comparison once, and every future load is validated in a few clicks.
Upload sample files from your legacy system and from SAP, and define the fields to compare. Decisions maps both sources to that standard; however differently each one stores the data.
✘ Experts review a statistical sample, and the rest of the data goes unchecked.
✘ Late data loads squeeze validation time, and quality drops with it.
✘ The same experts are pulled away from unit testing and UAT.
✘ Manual checking takes 200 to 500+ hours, costing $50,000 to $100,000 or more.
✘ Errors in unchecked records are found after go-live.
Every record is compared, every run.
✔ Validation runs in minutes, so a late load does not mean a rushed check.
✔ Experts spend their time on testing and exceptions, not spreadsheets.
✔ Manual validation effort is removed across master and transactional data.
It is the step that confirms the data loaded into SAP matches the source data it came from. Data Validation Management automates this by comparing every legacy record with its SAP counterpart, instead of relying on a reviewed sample.
ECC to S/4HANA migrations, first-time SAP implementations, and mergers and acquisitions where data from another company is loaded into your SAP system. It can be reused for every mock load and test cycle along the way.
Every run separates records into matched, mismatched, failed to transfer, and excluded from evaluation, so nothing slips through unnoticed.
Remove hundreds of hours of manual checking and give your subject matter experts their time back for UAT and cutover.
✔ Issues are caught and fixed before go-live, with clean data ready for testing.
✔ Complete audit trail of every validation run
Master data such as Customer, Material, and Vendor Master, plus transactional data such as open orders and balances. Any two data sets that describe the same records can be compared.
That is the normal case. Decisions maps around split names, combined fields, and different structures, and normalizes formats before comparing, so a match means the data is genuinely the same.
A scorecard with four groups: matched records, mismatched records, records that failed to transfer, and records excluded from evaluation. Each group can be drilled into for detail.
No. It works from extracts of your source and SAP data, so nothing is installed in or changed in your SAP core.
No. A configuration is set up once and saved, and any team member can rerun it by uploading new files.
