CAP Methodology Selection & Analytics Problem Framing Flashcards
6 cards from real CAP practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 CAP Methodology Selection & Analytics Problem Framing flashcards as text
Which step in translating a business problem into an analytics problem involves defining the unit of analysis?
Answer: Specifying the grain of the data
Specifying the grain defines what each record represents, which is the unit of analysis for the analytics problem.
A retail company wants to reduce customer churn. Which analytics approach is MOST appropriate as a first step?
Answer: Descriptive analytics to profile churned customers
Descriptive analytics on churned customers first reveals patterns that then inform predictive or prescriptive approaches.
When selecting between supervised and unsupervised learning, the key distinguishing factor is:
Answer: Whether labeled outcome data is available
Supervised learning requires labeled outcomes, while unsupervised learning discovers structure without predefined labels.
Which CAP domain involves converting a business objective into a measurable analytics goal?
Answer: Analytics problem framing
Analytics problem framing translates vague business goals into specific, measurable analytics objectives with defined success criteria.
A company needs to segment customers with no prior labeling scheme. Which methodology is MOST suitable?
Answer: K-means clustering
K-means clustering is an unsupervised method ideal for discovering natural groupings when no predefined labels exist.
Which factor is MOST important when deciding between a parametric and non-parametric model?
Answer: Whether the data meets distributional assumptions
Parametric models require specific distributional assumptions (e.g., normality), so violating those assumptions favors non-parametric alternatives.