CMMS, EAM & Spare Parts Management worked example

Maintenance Data Quality Score with decision impact of poor cmms data of 4 score: a worked example

Suppose decision impact of poor cmms data falls to 4 score. This page works the full calculation at that level so you can see exactly which result moves and by how much. Score CMMS data quality risk from missing asset, failure, labor, parts, and closure information that affects maintenance decisions.

The inputs for this scenario

  • Decision impact of poor CMMS data: 4 score (the input this scenario stresses; the baseline uses 8)
  • Frequency of incomplete or incorrect records: 6 score (held at the documented default)
  • Weakness of data validation controls: 5 score (held at the documented default)

Working through the calculation

  • The calculation starts from the formula this tool documents: Maintenance Data Quality Score risk score = decision impact of poor CMMS data × frequency of incomplete or incorrect records × weakness of data validation controls.
  • Maintenance Data Quality Score risk score works out to 4.95 score at these inputs, and this is the headline figure for the scenario.
  • decision impact of poor CMMS data works out to 4 score at these inputs.
  • frequency of incomplete or incorrect records works out to 6 score at these inputs.
  • weakness of data validation controls works out to 5 score at these inputs.

How this compares with the baseline

  • Against the tool's baseline example, where decision impact of poor cmms data sits at 8 score and the headline result is 6.55 score, this scenario comes in 24.43% below the baseline at 4.95 score.
  • It multiplies the decision impact of poor data, the frequency of incomplete or incorrect records, and the weakness of validation controls into a single data-quality risk score. When the numbers land here, the stressed input is the lever to work; the walkthrough above shows exactly how much each output recovers as it climbs back toward the baseline.

Results at a glance

  • Maintenance Data Quality Score risk score: 4.95 score (headline result)
  • decision impact of poor CMMS data: 4 score
  • frequency of incomplete or incorrect records: 6 score
  • weakness of data validation controls: 5 score

Run it with your numbers

  • To rerun this with your own numbers, open the live Maintenance Data Quality Score calculator, set decision impact of poor cmms data to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.