Manufacturing Master Data & Data Governance worked example

Data Quality Defect Rate at 99% target data quality defect rate: a worked example in manufacturing master data & data governance

What does the result look like when target data quality defect rate reaches 99%? The full calculation is worked below with real intermediate numbers. Use it when data quality defect rate in manufacturing master data and data governance needs a clean rate and gap-to-target you can put on a tier board.

The inputs for this scenario

  • Records failing a data quality validation rule: 8 count (unchanged)
  • Total master data records validated: 250 count (unchanged)
  • Target data quality defect rate: 99 % (raised for this scenario; the documented default is 95)

Working through the calculation

  • Applying the documented formula (Data quality defect rate = data quality defect rate count ÷ total data quality defect rate population × 100) to the inputs above produces each figure below.
  • At this operating point the engine returns 3.2 % for data quality defect rate, the number this scenario is built around.
  • At this operating point the engine returns 95.8 points for data quality defect rate gap to target.
  • At this operating point the engine returns 8 count for data quality defect rate count.
  • At this operating point the engine returns 250 count for total data quality defect rate population.

How this compares with the baseline

  • Against the tool's baseline example, where target data quality defect rate sits at 95% and the headline result is 3.2 %, this scenario lands almost exactly on the baseline at 3.2 %.
  • A figure at this level is achievable when target data quality defect rate is genuinely sustained, not just peaked for a shift. The defect rate is only as good as the rules behind it — weak or missing validations will under-report true defects, so a low rate can be falsely reassuring.

Results at a glance

  • Data quality defect rate: 3.2 % (headline result)
  • Data quality defect rate gap to target: 95.8 points
  • Data quality defect rate count: 8 count
  • Total data quality defect rate population: 250 count

Run it with your numbers

  • Every input above is editable in the live Data Quality Defect Rate calculator, which recalculates instantly and can be shared with the inputs intact.

Last reviewed 2026-05-12.