Data Assurance for Manufacturing
Across Migrations, Operations, and Reporting

Yes — ETL Validator runs record-level, non-sampled validation of BOM, inventory, and financial data across SAP ECC-to-S/4HANA migrations, with AI-generated test cases validating 1,000+ tables at once — the same approach that took a CPG manufacturer’s migration end to end. See our Data Migration Testing guide.

Yes — ETL Validator runs automated three-way-match reconciliation — PO, ASN, invoice — for supplier EDI 850/810 transactions, catching mapping errors and duplicate payments especially when configurations shift mid-migration. Our App Integration Data Testing guide covers the full cross-system validation workflow.

Yes — Data Quality Monitor runs continuous six-dimension monitoring on production, sensor, and pipeline data, built for always-on operational cadence rather than periodic spot checks, with AI-assisted rule inference from your data dictionaries and schemas. See Data Observability Tool for the full approach.

Yes — BI Validator uses visual regression and pixel-to-pixel comparison to validate production dashboards and operational reports across platform migrations and version upgrades, checking every report against both the legacy system and the real source data underneath. See our BI Testing guide.

Yes — Test Data Manager generates realistic, masked test data for ERP, MES, and data warehouse testing, using deterministic masking so real supplier pricing, financial data, and production volumes never reach lower environments.

Yes — from a US cereal manufacturer’s 1,000+ table Oracle-to-Snowflake migration (45-60% faster testing, 95% less DQ effort) to a pharmaceutical manufacturer automating Tableau testing across six production environments serving 11,000 users. See more on our Case Studies page.