S&OP, Demand Planning & Forecasting worked example

Planning Data Completeness at 99% data pipeline availability: a worked example

This scenario runs the planning data completeness calculation on the strong side: 99% data pipeline availability, with every other input held at its documented default. Use it when planning data completeness in s and op, demand planning and forecasting is being asked to take on more work and you need to know if there is room.

The inputs for this scenario

  • Complete planning records added per S&OP run: 4 units / cycle (unchanged)
  • S&OP planning runs available in the period: 480 cycles (unchanged)
  • Data pipeline availability (systems feeding the plan): 99 % (raised for this scenario; the documented default is 90)
  • First-pass record validation rate: 97 % (unchanged)

Working through the calculation

  • Applying the documented formula (Gross planning data completeness capacity = planning data completeness output per cycle × available planning data completeness cycles) to the inputs above produces each figure below.
  • At this operating point the engine returns 1,844 units for good planning data completeness capacity, the number this scenario is built around.
  • At this operating point the engine returns 1,920 units for gross planning data completeness capacity.
  • At this operating point the engine returns 19.2 units for planning data completeness downtime loss.
  • At this operating point the engine returns 57.02 units for planning data completeness yield loss.

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 10% above the baseline at 1,844 units.
  • Use it when scoping how many SKUs or planning combinations your process can fully populate before a planning cycle, or when justifying investment in data pipelines or master-data cleanup. 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

  • Good planning data completeness capacity: 1,844 units (headline result)
  • Gross planning data completeness capacity: 1,920 units
  • Planning data completeness downtime loss: 19.2 units
  • Planning data completeness yield loss: 57.02 units

Run it with your numbers

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

Last reviewed 2026-05-12.