Digital Onboarding / data 14,671 events 1,598 cases in container

Case notion

Which object type this log is projected onto. It decides what a case is, and therefore every figure on every screen that counts by case.

Now
purchase_order
1,598 cases
Events in a case
57.3%
8,404 of 14,671
Object types
7
any of them can be the case
Every object type, measured coverage and repetition together - neither answers on its own
Object type Cases Events in a case Coverage Distinct paths Cases on a repeated path
goods receipt 1,941 9,090 62.0% 73 1,921 (99.0%)
purchase_order current 1,598 8,404 57.3% 35 1,588 (99.4%)
invoice receipt 927 5,048 34.4% 41 920 (99.2%)
quotation 927 4,123 28.1% 18 922 (99.5%)
purchase_requisition 927 2,385 16.3% 3 927 (100.0%)
material 729 1,458 9.9% 2 729 (100.0%)
payment 927 1,166 7.9% 5 926 (99.9%)
Ordered by coverage, which is an ORDER and not a ranking. Read the two right-hand columns together: a type where nearly every case takes its own path has no process structure to analyse, however much of the log it covers. Changing the notion rebuilds the log from its source and takes as long as loading it did; the previous version keeps serving until the new one is whole - which includes every enrichment layer being recomputed against it, so a layer that fails on the new projection leaves you on the log you have now with the reason printed above.
Why both columns Coverage says how much of the log ends up inside a case. Repetition says whether those cases have anything in common. A type can be excellent on one and useless on the other, and choosing on either alone picks the wrong one - which is why neither is shown without the other and why nothing here is marked recommended.

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