Public docs

Martenweave Use Cases

Martenweave is useful when a team needs model truth to survive beyond a meeting, a spreadsheet, or one heroic consultant.

SAP Migration Model Registry

Problem: Migration scope, fields, and rules drift across files.

How Martenweave helps: Domains, contexts, attributes, field endpoints, mappings, value lists, issues, and decisions stay connected.

Business value: Fewer truth disputes during mock loads, validation cycles, and cutover planning.

Problem: Ownership is known socially, not operationally.

How Martenweave helps: Attributes, rules, owners, data stewards, and decisions become referenceable model objects.

Business value: Governance teams can discuss changes with evidence instead of memory.

Problem: Customer field behavior changes by context, table, source system, and migration path.

How Martenweave helps: Attribute usage, entity context, SAP table/field endpoints, mappings, and value lists stay explicit.

Business value: Better control of Business Partner / Customer migration knowledge without spreadsheet archaeology.

Problem: Supplier and vendor meanings blur across central, company-code, and purchasing contexts.

How Martenweave helps: Business meaning is separated from physical fields and system-specific endpoints.

Business value: Cleaner handoffs between process, data, migration, and support teams.

Problem: Missing fields appear late, usually when the calendar is least amused.

How Martenweave helps: Profiled datasets can be compared with expected model endpoints and coverage expectations.

Business value: Earlier remediation and less validation ping-pong.

Problem: Reports show failures without enough model context.

How Martenweave helps: Findings can link back to fields, rules, mappings, owners, issues, and decisions.

Business value: Triage becomes evidence-led, not inbox-led.

Problem: Support inherits decisions but not the reasoning.

How Martenweave helps: Canonical files preserve model context, decisions, issues, and traceability after go-live.

Business value: Less knowledge loss between delivery and support.

Problem: A small field change can affect reports, mappings, validation rules, owners, and downstream teams.

How Martenweave helps: Trace and impact analysis show connected model objects and lineage.

Business value: Better change decisions before downstream teams discover the change the hard way.

Problem: AI can help with extraction and drafting, but unchecked AI changes are not governance.

How Martenweave helps: AI creates reviewable PatchProposals. Validators and humans remain the gate.

Business value: Faster maintenance without surrendering model control.