Commercial forecasting in the life sciences is notoriously challenging. Recent studies have shown that sales and volume forecasts in pharma are often glaringly inaccurate - with more than half of forecasts off by more than 40%! But help is on the horizon. Pharma forecasters are turning to Machine Learning and Big Data to improve data accuracy.
In this webinar we'll show how a new generation of forecast tools can be used to produce more accurate results. These tools are using the massive amount of healthcare data coupled with machine learning to take commercial forecasts to the next level of accuracy. We'll discuss five ways forecasting teams have used these tools to improve their forecast accuracy, and the results they've seen.
- Build models that function at the right levels – down to the patient journey and up to the full market
- How Big Data and Machine Learning can be leveraged in real concrete ways in today's, and tomorrow's forecasts
- The role of the team and consensus forecasting in producing high quality results
Rick Johnston, Ph.D.
Senior Software Solutions Lead, IQVIA
David Wolter, MBA
VP Consulting Services, IQVIA