Data Analysis & Decision Making Flashcards
7 cards from real CFD practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Data Analysis & Decision Making flashcards as text
A floral shop's weekly waste log shows 15% of perishable stock is discarded. To reduce this loss, the most analytical first step is to:
Answer: Identify which specific flowers account for the highest waste volume
Pinpointing which items drive waste allows targeted ordering adjustments rather than blanket reductions.
A designer uses a break-even analysis and finds fixed monthly costs are $3,000 and the contribution margin per arrangement is $25. How many arrangements must be sold monthly to break even?
Answer: 120
Break-even units = Fixed costs / Contribution margin = $3,000 / $25 = 120 arrangements.
Sales data reveals that online orders have grown 40% year-over-year while walk-in traffic dropped 10%. The most strategic data-driven response is to:
Answer: Invest in e-commerce capabilities and digital marketing
Shifting resources toward the growing online channel aligns investment with demonstrated customer behavior.
A florist analyzes that Mother's Day generates 30% of annual revenue in a single week. Which inventory decision is best supported by this data?
Answer: Pre-order significantly more stock 4–6 weeks in advance
Advance bulk ordering ensures adequate supply for predictable high-demand periods and often secures better pricing.
A florist charges $85 for an arrangement that costs $34 in materials. What is the markup percentage on cost?
Answer: 150%
Markup on cost = (Selling price − Cost) / Cost = ($51 / $34) × 100 = 150%.
Customer survey data shows 72% of buyers cite 'freshness' as the top purchase factor. A designer uses this to:
Answer: Highlight freshness guarantees prominently in all marketing materials
Aligning marketing messages with the dominant customer priority directly addresses the primary buying driver.
A floral business compares labor costs at 18% of revenue versus an industry benchmark of 25%. What does this data most likely indicate?
Answer: The shop may be understaffed or relying heavily on the owner's uncompensated labor
Below-benchmark labor costs often signal owner-operated hours not reflected in payroll, risking burnout and scalability issues.
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