S&OP, Demand Planning & Forecasting worked example

Planning Data Completeness at 65% data pipeline availability: a worked example

Suppose data pipeline availability falls to 65%. This page works the full calculation at that level so you can see exactly which result moves and by how much. Estimate planning data completeness for sandop, demand planning and forecasting using production-ready inputs so teams can confirm whether capacity can cover demand before committing the schedule.

The inputs for this scenario

  • Complete planning records added per S&OP run: 4 units / cycle (held at the documented default)
  • S&OP planning runs available in the period: 480 cycles (held at the documented default)
  • Data pipeline availability (systems feeding the plan): 65 % (the input this scenario stresses; the baseline uses 90)
  • First-pass record validation rate: 97 % (held at the documented default)

Working through the calculation

  • The calculation starts from the formula this tool documents: Gross planning data completeness capacity = planning data completeness output per cycle × available planning data completeness cycles.
  • Good planning data completeness capacity works out to 1,211 units at these inputs, and this is the headline figure for the scenario.
  • Gross planning data completeness capacity works out to 1,920 units at these inputs.
  • Planning data completeness downtime loss works out to 672 units at these inputs.
  • Planning data completeness yield loss works out to 37.44 units at these inputs.

How this compares with the baseline

  • Against the tool's baseline example, where data pipeline availability sits at 90% and the headline result is 1,676 units, this scenario comes in 27.78% below the baseline at 1,211 units.
  • It computes the count of complete, validated planning records delivered per period after downtime and first-pass validation losses are subtracted from gross record capacity. 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

  • Good planning data completeness capacity: 1,211 units (headline result)
  • Gross planning data completeness capacity: 1,920 units
  • Planning data completeness downtime loss: 672 units
  • Planning data completeness yield loss: 37.44 units

Run it with your numbers

  • To rerun this with your own numbers, open the live Planning Data Completeness calculator, set data pipeline availability to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.