Meet Pegasi, DHC Quant’s new proprietary data-modeling application. Designed to model uncertainty, it applies customized input assumptions to quantitatively describe a range of probable outcomes. It can be used for capacity (and/or facility) planning, COGs analysis, or build vs. buy analytics.
Predict facility size requirements, instrumentation needs, and FTE by department over time under the full range of reasonable input assumptions to enable robust scenario planning even in environments of great uncertainty.
Evaluate the range of likely product COGs over time and evaluate key levers for cost reduction based on the impact of various input assumption on overall product COGs.
Forecast CapEx and OpEx over time and over a wide range of input assumptions to identify the most cost effective solution for your manufacturing needs.
Determine current, and project future market size for your product or services based on inputs such as patient/user/customer type, indication prevalence, and assumed market penetration.
Model profitability scenarios based on COGs, OpEx, CapEx, and market size inputs.