Tracking and forecasting market and competitor pricing is a strategic necessity in the life sciences today; however, analyzing pricing trends across products is not always straightforward. Downloading the data may be easy, but extracting patterns and actionable insights around pricing, volume and sales can be difficult.

In this webinar, we'll discuss how machine learning is revolutionizing pricing and market analysis. We will show how forecasters can simplify the steps to go from analysis to key insights, such as identifying the drivers behind price changes. We'll discuss how these algorithms are helping analysts produce a more sensitive and nuanced understanding of the market, and show how leading organizations are automating the process of making these analytics visible company-wide.

Key Take-aways

• How machine learning can enable more sophisticated market pricing analyses, such as prediction of future prices, volumes and revenues or identification of key drivers of pricing changes
• Methods for ensuring 'apples to apples' comparisons that allow for different pack sizes, dosing options, or loading doses
• Machine learning techniques for finding other 'similar' products and using those historical analogues to understand the market potential for your product

SPEAKERS

David Wolter, MBA
VP Consulting, IQVIA

Rick Johnston, Ph.D.
Senior Software Solutions Lead, IQVIA