With the pharmaceutical industry becoming increasingly digital, what processes are needed to enhance collaboration, communication, and to unlock the value of digital tools to achieve business goals?

Epidemiological forecasting plays a crucial role in understanding disease trends and predicting their impact. The accuracy of these forecasts is influenced by various factors, primarily the quality and availability of data.

By including the wider competitive set in the forecasting process, pharmaceutical companies can observe and visualize trends and patterns more clearly. This approach can provide valuable insights, to make informed decisions and develop strategies.

Ultimately, the accuracy of the sales forecast directly impacts the quality of business decisions. A more accurate forecast provides a solid foundation for decision-making

In today's rapidly evolving pharmaceutical landscape, accurate forecasting is more crucial than ever before. Within this era of rapid technological advancement, Artificial Intelligence (AI) has emerged as a transformative force within various industries, including pharma.