Dataverse relational architecture for quality nonconformance apps
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Use related Dataverse tables for cases, defects, measurements, affected material, decisions and containment actions.
TL;DR
A Dataverse quality app should separate case headers, defects, measurements and affected material into related tables. Use one-to-many relationships for multiple defects, capture numeric values and units with historical requirement limits, and use linking tables for many-to-many decisions, actions and material groups.
Original on M365 FM Podcast. Read the original · suggested by Mirko Peters
This is our own summary, not a republication or full translation.
Governance takeaway
- Makers: Create separate case, Defect, Measurement and Affected Material tables so multiple issues, readings and material subsets remain analyzable without duplicated data.
- Admins/CoE: Preserve explicit relationships and distinct status values for materials, investigations and corrective actions to avoid ambiguous workflow bottlenecks.
- Security/Compliance: Store requirement limits with each inspection result because later drawing or specification changes can make live references unreliable for historical audits.
Frequently asked questions
How should Dataverse represent several defects from one inspection?
Use a parent quality case with a child Defect table, allowing each observation to have its own record and controlled defect code.
Why should measurement limits be stored with inspection results in Dataverse?
Store numeric values, units and requirement limits with each measurement. This preserves the inspection context when engineering drawings change later.
How do Dataverse linking tables control affected material?
Linking tables connect decisions and containment actions to specific batches, containers or material groups, preventing unrelated production lines from being restricted.