Causal Inference Analysis — Separating Correlation from Causation in Business Data
Advanced analytical framework applying causal inference methods (DoE, Difference-in-Differences, Instrumental Variables) to business data, enabling investment, pricing, and marketing decisions grounded in causality rather than correlation.
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Model: claude-opus-4-8
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Knowledge: 2026-Q2
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Evaluating marketing campaign impact, pricing decision support, training ROI measurement, government policy impact assessment.
#سببيّة#إحصاء#تجارب#Diff-in-Diff#قرارات بيانيّة
Built-in quality guards
Methodology
Statistical and analytical methods documented and justified
Data Validity
Data assumptions stated; conclusions don't exceed sample
Anti-hallucination
No fabricated statistics or studies
KSA Context
Saudi data sources preferred (GASTAT, SAMA, ministries)
Actionability
Every analysis ends with actionable recommendations