ExpertMedium2 marksMultiple Choice
ACCA · Question 14 · Syllabus C: Business functions, regulation and technology
Section A
CropData, an agricultural technology firm, collects terabytes of unstructured data daily from satellite imagery, soil sensors, and global weather patterns. They use machine learning algorithms to analyze this massive dataset to forecast crop yields months in advance. Which of the 'Vs' of Big Data is most directly addressed by using machine learning to make sense of this unstructured data?
Section A
CropData, an agricultural technology firm, collects terabytes of unstructured data daily from satellite imagery, soil sensors, and global weather patterns. They use machine learning algorithms to analyze this massive dataset to forecast crop yields months in advance. Which of the 'Vs' of Big Data is most directly addressed by using machine learning to make sense of this unstructured data?
Answer options:
A.
Volume
B.
Velocity
C.
Variety
D.
Value
How to approach this question
Focus on the end goal described: 'analyze this massive dataset to forecast crop yields'. Forecasting provides actionable business insight, which represents the 'Value' of Big Data.
Full Answer
D.Value✓ Correct
While Volume (terabytes), Velocity (daily), and Variety (satellite, sensors, weather) are all present in the scenario, the act of using algorithms to *make sense* of it and generate actionable forecasts represents 'Value'. Value is the process of extracting useful business intelligence from the raw data.
Common mistakes
Choosing 'Variety' because unstructured data is mentioned. However, the question specifically asks what is addressed by *using machine learning to make sense of it* (extracting the forecast).
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