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| Criterion |  Knowledge Modeling Shape-First Modeling |  Operations Causal Factor Analysis |
|---|---|---|
Purposedifferent | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitydifferent | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | 2-6 h |
Participantsdifferent | 1-4 | 3-10 |
Formatsame | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | Knowledge graphValidationSemantic | CausalityIncidentRoot causeTimeline |
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