CMMS, EAM & Spare Parts Management worked example

CMMS Data Cleanup Effort at 40% duplicate review, field validation, approval, and rework allowance: a worked example

Push duplicate review, field validation, approval, and rework allowance up to 40% and the picture changes. This example computes every intermediate figure at that operating point. a maintenance or asset-management team needs to plan a cleanup sprint before EAM migration, reporting rollout, or maintenance strategy update for a CMMS data cleanup project

The inputs for this scenario

  • CMMS records requiring cleanup: 6,800 records (unchanged)
  • Records cleaned per technician-hour: 95 records / hr (unchanged)
  • Duplicate review, field validation, approval, and rework allowance: 40 % (raised for this scenario; the documented default is 35)

Working through the calculation

  • Applying the documented formula (Base CMMS data cleanup effort time = CMMS records requiring cleanup รท records cleaned per hour) to the inputs above produces each figure below.
  • At this operating point the engine returns 100 hr for required cmms data cleanup effort time, the number this scenario is built around.
  • At this operating point the engine returns 71.58 hr for base cmms data cleanup effort time.
  • At this operating point the engine returns 40 % for duplicate review, field validation, stakeholder approval, and data-load rework allowance applied.
  • At this operating point the engine returns 95 pieces / min for records cleaned per hour.

How this compares with the baseline

  • Against the tool's baseline example, where duplicate review, field validation, approval, and rework allowance sits at 35% and the headline result is 96.63 hr, this scenario comes in 3.7% above the baseline at 100 hr.
  • It computes the technician-hours needed to clean a CMMS record set by dividing record count by cleansing rate, then inflating that base by a rework allowance. The value of this scenario is the size of the gap it exposes: that gap, priced out over a year, is the budget you can justify spending to close it.

Results at a glance

  • Required CMMS data cleanup effort time: 100 hr (headline result)
  • Base CMMS data cleanup effort time: 71.58 hr
  • duplicate review, field validation, stakeholder approval, and data-load rework allowance applied: 40 %
  • records cleaned per hour: 95 pieces / min

Run it with your numbers

  • Every input above is editable in the live CMMS Data Cleanup Effort calculator, which recalculates instantly and can be shared with the inputs intact.

Last reviewed 2026-05-12.