Is Algorithmic Forecasting the Future for Life Sciences?

February 11, 2021
IQVIA

Sponsored Content

*** Thursday, February 11, 2021 at 8am PST | 11am EST*** Learn how forecasters can improve forecast efficiency and reduce forecast bias with algorithmic forecasting ***On demand available after final airing until Feb. 11, 2022***

Register free: http://www.pharmexec.com/pe_w/algorithmic_forecasting ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​

Event Overview:

“Algorithmic Forecasting” – the use of automated algorithms and big data to predict commercial performance – is becoming more and more common in the life sciences industry. And it’s no surprise. There is a strong potential value proposition for companies seeking to use it: anchoring forecasting discussions on the future rather than the past, ensuring the forecast is data-driven, and reducing human bias.

However, some forecasting teams are skeptical. How do you know if the algorithms will continue to be accurate as new data is added? How can algorithms account for cases when the future may not look like the past – like a new MOA, competitor entry or LOE? What is the role of the forecasters vs. the role of software programs? We’ll cover these questions and more in this webinar on Algorithmic Forecasting for pharma.

3 Key Take-aways:

  • Tradeoffs between algorithmic and traditional forecasting methods
  • Navigating common challenges of implementing algorithmic forecasting
  • Use cases and examples of algorithmic forecasting approaches

Speakers: Rick Johnston, PhD, Senior Software Solutions Lead, IQVIA

David Wolter, MBA, VP Consulting Services, IQVIA

Time and Date: Thursday, February 11, 2021 at 8am PST | 11am EST

On demand available after final airing until Feb. 11, 2022

Register free: http://www.pharmexec.com/pe_w/algorithmic_forecasting

Related Content:

Webcasts