Data validation for SAP cutover

Catch bad data before it reaches production.

Gritval lets data teams define validation rules, run them against any dataset, and sign off with a full audit trail -so quality issues never propagate downstream.

We reply within one business day.

Built for regulated migration teams

Rule types, scalar to cross-table

File format parsers built in

100%

Row coverage on every run

Hosting and data residency

Everything you need to trust your data.

One control plane for defining, running, and governing validation — from a single uploaded file to your entire SAP landscape.

Rules that catch real defects

22 rule types, from required fields and formats to duplicates, cross-field logic, and cross-table consistency. Every failing row names the rule, the field, and the value that broke it.

requiredregexcross_table_matchduplicates

Reads the formats you actually get

Excel, CSV, XML, JSON - and the awkward ones: IDoc, MT940, CAMT, EDIFACT, KSeF, fixed-width. Multi-sheet aware. Every upload is versioned, checksummed, and malware-scanned.

IDocMT940KSeFfixed-width

Evidence that survives an audit

Each run freezes the exact schema and mappings it validated against, then records a quality score and the full issue log. Export the certificate as PDF -reproducible months later.

frozen snapshotquality scorePDF certificate

Named owners, real sign-off

Every target has accountable owners under RACI, and required sign-offs gate go-live. Warnings never just disappear -someone accepts each one, with a reason and their name on it.

RACIsign-offswarning acceptance

Readiness you can defend

A stage model from mapping to go-live, a readiness score with its conditions spelled out, and gap analysis that lists exactly which required fields are still unmapped or unruled.

migration stagesreadiness scoregap analysis

Set up once, reuse everywhere

Organization libraries hold your target schemas and rule sets, including predefined SAP objects. New project, same standards -and auto-mapping fills in the obvious column matches.

target templatesrule libraryauto-map

From raw dataset to signed-off in four steps.

Connect or upload

Drop in a file or connect a data source. Gritval auto-detects SAP structures and maps fields on ingest.

Define rules

Build rules from the library or write your own. Version them, set severities, and reuse across projects.

Run validation

Kick off an async run and watch live progress as rules execute against every row, with instant pass/fail.

Review & sign off

Triage issues, resolve them, and route to approvers. Sign-off certifies the dataset is ready for cutover.

Purpose-built for the formats your landscape actually runs on.

Generic validators choke on SAP's structures. Gritval ships native parsers and field-aware logic for the exact formats moving through migrations, interfaces, and regulatory filings -so a tax field or a UoM check just works.

Ask about your formats

IDocIntermediate documents for interface and EDI exchangeORDERS05

KSeFPolish national e-invoicing structured XMLFA(2)

Banking formatsStatement and payment messages for reconciliationMT940 · CAMT

Fixed-widthLegacy positional layouts from extracts and exports.txt · .dat

20 file formats parsed out of the box

XLSX
XLS
ODS
CSV
XML
JSON
JSONL
Fixed-width
MT940
CAMT.052
CAMT.053
CAMT.054
BAI2
X12
EDIFACT
IDoc
KSeF FA(2)
OCR images
OCR PDF
LSMW

Auditable by design.

Built for high-stakes data: every change accountable, every file checked before it's trusted, every approval on record.

Who did what, on record

Every run, rule change, and sign-off is recorded with the actor and timestamp. When an auditor asks what happened during cutover, the project history is the answer -not a reconstruction.

Results you can reproduce

Each run freezes the schema and mappings it validated against. Open the evidence six months later and it reads exactly as it did on run day -later changes never rewrite past results.

Risk is owned, not buried

Errors block Migration Readiness until they are fixed. Warnings stay open until someone accepts each one with a written reason and a named risk owner -no silent dismissals.

Your data stays in the EU

Hosted on EU infrastructure with GDPR-aligned processing. Validation data, evidence, and audit history never leave the region.

Scoped to your migration, not your row count.

Plans are annual agreements priced per program -validate as many rows as the migration takes.

Stop bad data before it propagates.

Tell us what you're migrating -formats, volumes, timeline -and we'll tell you exactly how gritval would validate it.