Compare counts at distinct checkpoints without using the latest return to erase collection discrepancies.
Index
Customer counts can differ from sorting, and returns may be partial. Reporting must show where a discrepancy arose rather than compare only monthly aggregate inputs and outputs.
The unit of analysis determines the result
The analytical unit should identify batch and item category while preserving every check as an event. Classification changes must differ from physical loss: an item moved to another category has not necessarily left the process. Category totals and whole-batch totals support complementary checks.
Sector software can provide counts, but the analytical layer must retain relationships among stages and partial returns. If the source stores only the latest number, delimit historical coverage before promising complete reconciliation. Weight and item counts cannot be combined into one measure without an explicit conversion rule.
Requirements for comparing BI proposals
- Keep reported count, verified count and revision reason in separate fields.
- Connect returns to the originating batch and show quantities still in processing by category.
- Distinguish classification changes from quantity discrepancies to prevent misleading operational interpretations.
A check before using the measure
In a hypothetical example, sorting finds a different category and the batch returns in two deliveries. Check physical totals, reclassification and cumulative returns without creating a fictional loss. Add a later count correction: reporting should show who reviewed it and which stage changed before updating the analytical result.
Reference for assessing scope
Microsoft Learn: facts, dimensions and analytical model grain
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