AI & Digital Manufacturing Analytics worked example

Data Quality Defect Rate at 1.15% target data defect rate: a worked example in ai & digital manufacturing analytics

This scenario runs the data quality defect rate calculation on the strong side: 1.15% target data defect rate, with every other input held at its documented default. a data engineer or quality analyst needs to measure defects in manufacturing data records

The inputs for this scenario

  • Defective manufacturing data records: 310 records (unchanged)
  • Total manufacturing records checked: 18,000 records (unchanged)
  • Target data defect rate: 1.15 % (raised for this scenario; the documented default is 1)

Working through the calculation

  • Applying the documented formula (Data quality defect rate = defective data records ÷ total records checked × 100) to the inputs above produces each figure below.
  • At this operating point the engine returns 1.72 % data defects for data quality defect rate, the number this scenario is built around.
  • At this operating point the engine returns -0.57 points for data defect-rate gap to target.
  • At this operating point the engine returns 310 records for defective manufacturing data records.
  • At this operating point the engine returns 18,000 records for total manufacturing records checked.

How this compares with the baseline

  • Against the tool's baseline example, where target data defect rate sits at 1% and the headline result is 1.72 % data defects, this scenario lands almost exactly on the baseline at 1.72 % data defects.
  • Use it after a data-quality audit or automated validation run, before relying on the dataset for reporting or model training. Treat this as a target state: the delta against the baseline quantifies what the improvement is worth before you commit to chasing it.

Results at a glance

  • Data quality defect rate: 1.72 % data defects (headline result)
  • Data defect-rate gap to target: -0.57 points
  • Defective manufacturing data records: 310 records
  • Total manufacturing records checked: 18,000 records

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.