Statistical Analysis & Problem Solving
Hypothesis-driven work that explains variation, quantifies risk, and guides action with confidence intervals—not hunches.
Statistics that move the business
For marketers, finance, and ops leaders—clear trends, measured lift, and confident rollouts.
SKU mix • Price/Promo • Footfall
Growth Playbook
Elasticities, promo lift vs. cannibalization, and seasonality—down to store × category.
Revenue trend
Promo lift
Stockout risk
clean holdout lift
“next best promo”
ADR • RevPAR • Staffing
Yield Lab
Time-series demand, dynamic pricing windows, and labor optimization by daypart.
Booking curve
Seasonality
Labor vs. demand
no-surprise staffing
blackout windows
Risk • CLV • Fraud
Risk & Value Lens
Bayesian scorecards, cohort CLV, and early-warning signals—clear enough for audit.
PD trend
CLV by cohort
Fraud alerts
explainable
audit-ready
Charts are illustrative; exact metrics and models are tailored to your data and controls.
Representative problems we tackle
Across pricing, operations, and experimentation — patterns that shape better business decisions.
Pricing Impact
Elasticities, cross-effects, promo lift vs cannibalization — see what really drives revenue.
Operational Variability
ANOVA and regression to isolate drivers of wait times, waste, and defects.
Experimentation
Design, randomization checks, CUPED, sequential testing — quantify uplift with precision.
Deliverables that drive action
Decision Memos
Concise summaries that explain findings, confidence, and risk — designed for executives.
Readable • Defensible • Board-ready
Experiment Kits
Templates, randomizers, and guardrails to scale tests across brands or stores.
Repeatable • Safe • Scalable
Diagnostic Dashboards
Ongoing drift detection, forecast tracking, and counterfactual simulations.
Continuous • Visual • Actionable
Statistical rigor, operationalized
- Pre-registration & analysis plans
- Power analysis & sample sizing
- Assumption checks & diagnostics
- Readable effect sizes & CIs