What is predictive analytics?
Predictive analytics involves the application of statistical algorithms, machine learning, and modeling techniques to identify patterns in data and forecast future events. In pharma, it is used to anticipate patient response, trial performance, market uptake, or access challenges.
Why is predictive analytics important in pharmaceutical decision-making?
It enables more informed planning, reduces risk, and improves efficiency. Predictive tools can support site selection, recruitment forecasting, pricing scenarios, and early access strategy. When integrated with real-world evidence, predictive analytics strengthens decision-making across the product lifecycle.
