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Forecasting in an Uncertain World

This event is now available on demand.

Event overview

Commercial forecasting in the biopharmaceutical industry always comes with some uncertainty, especially given the ever-evolving life sciences marketplace. Uncertainty arises from multiple sources including innovation across therapy areas such as oncology, immunology and neurology as well as patient population dynamics, access and price. Thus, having the ability to effectively capture, analyze, and develop insights on uncertainty is a key aspect of life sciences forecasting and decision-making.

In this webinar, we’ll learn the tradeoffs between different types of uncertainty analysis - from traditional scenario-based planning to more sophisticated Monte Carlo analysis - and discuss how to effectively present and improve their integration in your organization, using cutting-edge forecasting tools for both singular assets and whole portfolios.


Three key take-aways
  • Understand different types of uncertainty analyses and the insights you can generate
  • Learn the logic behind sensitivity analysis and Monte-Carlo analysis
  • Discover web-based forecasting tools to improve and accelerate your company’s uncertainty analyses

For any technical questions please contact Jordan Ramesh: jramesh@mjhlifesciences.com




David Wolter, MBA
Vice President, Commercial Solutions
IQVIA

David Wolter is a Vice President in IQVIA’s Commercial Solutions group. He has more than 18 years of experience in management consulting and modeling system development and is the co-lead of the US Corporate & Portfolio Strategy Center of Excellence. His past work has included product valuations, designing and developing forecasting models and web-based tools, analogue analyses, and decision-analysis/strategy projects. David has an MBA from Stanford GSB, an MS in Accounting from DePaul University and a BA in Economics from Amherst College.



Jim Burke, PhD
Associate Principal, Commerical Solutions
IQVIA

Jim Burke is an Associate Principal in IQVIA’s Commercial Solutions group. He has more than 10 years of experience in model development and forecasting. His past work has included designing and building models in the fields of high energy physics, finance, and the life sciences. He has collaborated with numerous clients to deploy and socialize forecasting systems. Jim has a PhD from the University of Bristol and a master’s in Financial Engineering from the University of Hawai`i.