Service 02 · Statistical Modeling & Forecasting
Models that make assumptions and trade-offs explicit.
We build forecasting, distribution, and allocation models around the structure of your data and the decisions you need to make. Business constraints, sensitivity analysis, and validation are part of the design.
The problem
- Forecasts that do not respect business rules
- Allocations that fail to reconcile across levels
- Assumptions that are difficult to inspect or challenge
What we deliver
- Distribution and price-tier modeling
- Forecasting and scenario analysis
- Constrained optimization and allocation
- Backtesting and sensitivity analysis
- Model diagnostics and documentation
Explicit
Assumptions you can inspect
Reconciled
Allocations that tie out across levels
Deliverables
- ◆ Model implementation
- ◆ Validation evidence
- ◆ Assumption register
- ◆ Repeatable execution workflow
Typical stack
PythonNumPySciPypandasStatistical methods
Related capabilities
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