Which characteristic best defines big data in supply chains?
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- ○ Huge volumes arriving at velocity
- ○ Small datasets stored on paper
- ○ Occasional surveys of key suppliers
- ○ Annual reports in static documents
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Showing 1–12 of 12 questions
Which characteristic best defines big data in supply chains?
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What does the 'variety' dimension of big data describe?
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Why do global supply chains generate especially large datasets?
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What is the primary value of big data analytics for procurement?
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Which technique identifies patterns in historical spend data automatically?
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What does spend visibility enable procurement leaders to do?
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Which two are recognised characteristics of big data? (Choose two.)
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Which two sources generate supply chain big data? (Choose two.)
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Which two benefits follow from advanced supply analytics? (Choose two.)
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DRAG DROP
Match each big data characteristic to its supply chain example.
Items to match: Volume characteristic example, Velocity characteristic example, Variety characteristic example, Veracity characteristic example.

Answer is in the explanation below.
DRAG DROP
Match each analytics type to the question it answers.
Items to match: Descriptive analytics type, Diagnostic analytics type, Predictive analytics type, Prescriptive analytics type.

Answer is in the explanation below.
CORRECT TEXT
The four commonly cited characteristics of big data are volume, velocity, variety and ______.
Answer is in the explanation below.