A large pharmaceutical/biotechnology company wanted to better understand the product potential of an on-market, non-retail drug distributed through a limited network of specialty pharmacies and distributors in an active, competitive environment.
Viscadia was asked to build a custom forecast model that could integrate seamlessly with the client’s existing Latest Estimate (LE) process and that would also be versatile enough to support multiple stakeholders and the long-term brand planning process.
Identified discrete needs across sales, marketing and finance stakeholders and created customized outputs to meet requirements
Assimilated market research (AMUs) to understand and model for multiple market events using diffusion curves
Created capabilities for users to choose from multiple forecasting pathways (unit demand vs. patient enrollments) that were harmonized across the platform
Integrated a robust and transparent statistical palette (Exponential Smoothing, Holt-Winters, Box-Jenkins, etc.) resulting in improved forecast accuracy and model flexibility
Customized platform for the product allowed for dynamic, comprehensive evaluation of key performance drivers, and served cross-functional stakeholder objectives