The Data Detective Lab
3.2.4: Data Reliability & Analysis
Strategic Intelligence: Separating Signal from Noise
Intelligence Briefing: The Data Strategist's Arsenal
Quantitative Data
Numbers, Statistics, Measurements
EXAMPLES: "Sales: £2.4M" | "Market Share: 18%" | "4.2/5 Stars"
Qualitative Data
Opinions, Descriptions, Feelings
EXAMPLES: "Felt welcomed" | "Design looks outdated" | "Service was rude"
The Three Reliability Tests
Sample Size
How many people/data points?
❌ Too Small: 5 customers (unreliable)
✓ Large Enough: 500+ customers (reliable)
Bias Check
Is the data collection fair?
❌ Biased: "Wasn't it amazing?"
✓ Neutral: "How would you rate...?"
Data Age
Is the data still relevant?
❌ Outdated: 5 years old
✓ Current: Last 6-12 months
Strategic Presentation Methods
📊 Bar Charts: Compare categories
📈 Line Graphs: Show trends over time
🥧 Pie Charts: Show proportions/percentages
📋 Tables: Detailed numerical comparison
Cambridge International AS & A Level Business (9609) | 3.2.4: Data Reliability & Analysis
Master the art of data intelligence: Know what data means, and know when to trust it.
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