Ratatosk turns messy data schemas into clear governance insights. It detects semantic collisions, ownership gaps, and migration risks across your systems, then generates a concrete action plan to fix them. Every result is deterministic and traceable to real metrics—no black-box AI, just actionable clarity for modernization projects. Surface definition conflicts. Standardize meaning. De-risk migration. A structured governance baseline workshop from Mimir Labs.
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Maker
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Hi everyone — maker of Ratatosk here.
The idea came from watching ERP migrations fail for the same reason over and over: nobody actually understood the data.
Teams would discover halfway through a migration that the same “Customer ID” meant three different things across systems, or that critical reports were secretly built in Excel because the ERP couldn’t produce them.
Ratatosk helps teams surface those issues early. It analyzes schemas, detects governance gaps, and generates a deterministic action plan to resolve them.
No AI guesses — every finding traces back to measurable metrics.
Would love feedback from anyone who’s lived through a migration or data cleanup project.