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| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making Pareto Analysis |  Operations 8D Problem Solving |  Operations 5 Whys |
|---|---|---|---|---|
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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | For an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | Halber Tag pro Domain Slice | 30-60 min | 1-6 Wochen | 15-30 min |
Participantsdifferent | 1-4 | 1-6 | 4-10 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Pareto Chart, Top Causes, Focus List | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan | Root cause notes, Countermeasures |
Tagsno overlap | Knowledge graphValidationSemantic | PrioritizationQualityFocusRoot cause | QualityProblem solvingRoot cause | Root causeIncidentLeanProblem solving |