Quantitative and financial models
Forecasting, scenario analysis, and decision models with visible assumptions
The forecast exists, but nobody can explain which assumptions drive it or defend it under questioning.
What we build
- Driver-based forecasting and scenario engines
- Cash, balance-sheet, and project-economics models
- Statistical estimation where the data supports it
- Sensitivity analysis and management decision tools
Typical integrations
- General-ledger and trial-balance data
- Excel where it is the right fit
- Power BI and management reporting
Controls and validation
- Assumptions and drivers are explicit and versioned
- Validation suites compare model output to source truth
- Backtesting and baseline comparison before a method is trusted
Deliverables
- A working model with documented assumptions
- Validation and tie-out reports
- Scenario and sensitivity views management can read
What this does not promise: A forecast is a decision tool, not an accounting fact, and it is presented with its assumptions and error ranges.