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Engineering data validation

Explicit rules that check structures, properties and parameters before data moves on.

01The problem

The problem

Errors in engineering data are usually found late: in manufacturing, purchasing or during a customer review. By then, correcting them is expensive.

02The approach

The approach

  1. Collect the rules that experienced engineers already apply informally
  2. Implement them as explicit, versioned checks
  3. Run the checks early and report findings with the rule that produced them
03The outcome

The outcome

Data problems found where they are created, with a clear explanation for each finding.

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Next step

Describe a recurring engineering task. Every project starts with an analysis.