Ratatosk

Ratatosk

Data Governance Baseline for Manufacturers

Your systems agree on schema but not on meaning. Ratatosk finds the root cause of data inconsistency across systems — before migration makes it permanent.

Piloting

Why the Same Data Gives Different Results

Data inconsistency across systems is rarely an integration problem. It’s a definition problem — and it has a root cause.

  • Data definitions inconsistent across systems — departments define the same entity differently
  • Master data problems across systems that no integration layer can resolve
  • Customer data inconsistent across CRM, ERP, and finance because each system encodes meaning differently
  • SKU mismatches between warehouse, production, and sales that compound through every report
  • Data reconciliation problems in ERP that surface only during migration — too late to fix cheaply

The Service Experience

From data environment intake to governance baseline delivery — what your organization receives.

Workflow
1
Schema exports from source systems (DDL, ERD, CSV)
2
Data dictionaries and business glossaries
3
System access credentials (read-only)
4
Business context: departments, workflows, pain points
Live screenshot pending

Client provides their data environment

Schema exports, ERDs, data dictionaries, or direct database access. Mimir Labs ingests the structural footprint of your enterprise systems.

Deterministic Governance Analysis

No AI inference, no fuzzy matching, no NLP. Every metric is computed from explicit assignments. Audit-safe. Ratatosk identifies the root cause of data inconsistency — not the symptoms.

Parse Schema

Ingests database schema via DDL, CSV, or ODBC connection.

Assign Labels

Every field receives a structured business label through facilitated alignment.

Group Taxonomies

Tables and fields are organized into domain-specific taxonomy groups.

Detect Conflicts

Surfaces label collisions, name collisions, and ownership divergences.

Produce Artifacts

Generates governance deliverables — PDF reports, JSON manifests, and visualizations.

What You Receive

1

Taxonomy Manifest (JSON)

Structured, machine-readable taxonomy of every field, table, and business label across your source systems.

2

Coverage Report (PDF)

Comprehensive analysis of field coverage, classification rates, and unassigned data across all sources.

3

Conflict Summary

Every label collision, name collision, and ownership divergence documented and categorized.

4

Governance Summary

Professional overview with coverage breakdown, taxonomy distribution, and structural observations.

5

Visual Distribution Charts

SVG charts — coverage gauges, taxonomy distribution, collision breakdown visualizations.

6

Executive Briefing Summary

Non-technical overview of findings, maturity assessment, and recommended next steps — boardroom-ready.

Engagement Structure

1-Day Workshop

Structured, facilitated session — remote or on-site.

Optional Expansion

Multi-day engagements available for complex environments.

Deterministic Outputs

Every metric computed from explicit assignments. No black boxes.

No Production Changes

Read-only analysis. No changes to your live systems.

No Lock-In

Deliverables are yours. Use them with any vendor or consultant.

Investment

Remote Workshop

1 Day

$9,500

On-Site Workshop

1 Day + travel expenses

$14,500

Additional Days

For complex or multi-system environments

$1,250/day

Final scope confirmed after intake review. No subscription required.

Migration Credit

If your organization proceeds with a structured system migration engagement within 12 months of completing a Ratatosk workshop, up to 50% of workshop fees may be credited toward migration services.

This applies to migration engagements facilitated by Mimir Labs, regardless of final system selection.

Ratatosk is designed to accelerate informed migration decisions, not replace them.

Who Should Use It

ERP Migrators

Teams evaluating new ERP systems who need to understand why ERP implementations fail — and how to prevent it with structured data discovery before the project starts.

Data Governance Teams

Internal governance functions resolving data mismatches between systems and building a shared vocabulary across departments before integration issues compound.

ERP Consultants

Implementation partners who need structured discovery output to scope migration projects accurately and surface data reconciliation problems in ERP before they become change orders.

PE Rollups & Consolidation

Private equity portfolio companies consolidating multiple acquisitions where master data problems across systems block operational visibility.

Ratatosk gave us clarity we didn’t have after years of shadow systems.

— Manufacturing COO

Schedule a Governance Workshop

Tell us about your environment so we can scope an effective engagement.

Current Systems (select all that apply)

MinimalSignificant

3/5 — Regular conflict