Which three categories should the collected data be sorted into during the data analysis phase? (Choose three.)

Question

Options

• Acustomer requirements
• Bcustomer data
• CIndustry standards
• Dpersonal data
• Eproject boundaries

• A
  92% (36)
• B
  3% (1)
• D
  5% (2)

Explanation

During the data analysis phase, collected data must be organized into three meaningful analytical categories that directly inform decision-making: customer requirements (A) captures what stakeholders need and expect; industry standards (C) provides external benchmarks and compliance criteria to measure against; and project boundaries (E) defines the scope constraints that determine what is in or out of scope for the solution.

Why B (customer data) is wrong: Customer data refers to raw information about customers (demographics, behavior, etc.), not a sorting category for analyzed data - it's an input to analysis, not a classification bucket.

Why D (personal data) is wrong: Personal data is a privacy/regulatory concept (think GDPR) concerned with data protection, not a structural category used to organize findings during analysis.

Memory tip: Think of the acronym C-I-P - Customer requirements, Industry standards, Project boundaries. These three form the "analysis triangle": what the customer wants, what the industry expects, and what the project allows.

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