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| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making Pareto Analysis |  Operations A3 Problem Solving |  Operations 8D Problem Solving |
|---|---|---|---|---|
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 a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | 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. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | 30-60 min | 45-90 min | 1-6 Wochen |
Participantsdifferent | 1-4 | 1-6 | 2-5 | 4-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Pareto Chart, Top Causes, Focus List | A3 Report, Action Plan, Root Cause Analysis | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan |
Tagsno overlap | Knowledge graphValidationSemantic | PrioritizationQualityFocusRoot cause | LeanProblem solvingCoachingOperations | QualityProblem solvingRoot cause |