Manufacturing Master Data & Data Governance worked example

Unit of Measure Conversion Risk with uom conversion error severity of 3 score: a worked example

Here is what the math looks like when conditions slip. We hold every other input steady and drop uom conversion error severity to 3 score, then walk the calculation through step by step. Estimate unit of measure conversion risk for manufacturing master data and data governance using production-ready inputs so teams can rank risks and decide which issue needs containment, controls, or escalation first.

The inputs for this scenario

  • UoM conversion error severity (impact): 3 score (the input this scenario stresses; the baseline uses 6)
  • UoM conversion error occurrence (frequency): 4 score (held at the documented default)
  • UoM conversion error detection difficulty: 3 score (held at the documented default)

Working through the calculation

  • The calculation starts from the formula this tool documents: Unit of measure conversion risk score = unit of measure conversion risk severity score × unit of measure conversion risk occurrence score × unit of measure conversion risk detection score.
  • Unit of measure conversion risk score works out to 3.35 score at these inputs, and this is the headline figure for the scenario.
  • Unit of measure conversion risk severity score works out to 3 score at these inputs.
  • Unit of measure conversion risk occurrence score works out to 4 score at these inputs.
  • Unit of measure conversion risk detection score works out to 3 score at these inputs.

How this compares with the baseline

  • Against the tool's baseline example, where uom conversion error severity sits at 6 score and the headline result is 4.55 score, this scenario comes in 26.37% below the baseline at 3.35 score.
  • The practical read: the gap between this scenario and the baseline is entirely attributable to uom conversion error severity, so recovering it is worth quantifying in dollars before considering equipment or staffing changes. RPN treats all three factors as equally weighted multiplicatively, so a catastrophic but rare error can score the same as a trivial frequent one — always review severity in isolation too.

Results at a glance

  • Unit of measure conversion risk score: 3.35 score (headline result)
  • Unit of measure conversion risk severity score: 3 score
  • Unit of measure conversion risk occurrence score: 4 score
  • Unit of measure conversion risk detection score: 3 score

Run it with your numbers

  • To rerun this with your own numbers, open the live Unit of Measure Conversion Risk calculator, set uom conversion error severity to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.