graph TD
A["📊 Data - Raw Facts"] --> B["📈 Information"]
B --> C["🧠 Knowledge"]
C --> D["🦉 Wisdom"]
A --> A1["📝 Complaint Log Entries"]
B --> B1["📉 Trend Analysis"]
C --> C1["💡 Why Customers Complain"]
D --> D1["🎯 Decide to Redesign"]
C --> E["🔑 Requires Interpretation"]
D --> F["⚠️ Storing Files Is Not Knowledge"]
style A fill:#50E3C2,color:#000
style B fill:#F5A623,color:#000,stroke:#333
style C fill:#4A90E2,color:#fff,stroke:#333,stroke-width:2px
style D fill:#7ED321,color:#000,stroke:#333,stroke-width:2px
style F fill:#FF6B6B,color:#fff
Flashcards
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Key takeaways
- The DIKW hierarchy distinguishes data, information, knowledge, and wisdom by increasing context and judgment.
- Data becomes information through context, information becomes knowledge through experience, and knowledge becomes wisdom through judgment.
- Concrete quality examples show how a complaint log climbs the hierarchy to a redesign decision.
- The hierarchy clarifies what Clause 7.1.6 actually requires you to manage.
- Simply storing documents on a shared drive does not constitute knowledge management in the ISO sense.
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