Earlier this week I was in Boston, where I had a full-day project modeling workshop with a portfolio management team. The training went well, and we had many new insights during the day. One takeaway that stuck with me is that when we model, we do it for one of two distinct purposes; It’s either forecasting to predict the future, or to gain some insight about our projects or portfolios. 1️⃣When we are forecasting to predict the future, we want to understand what may happen in

From simple timelines to full-blown financial risk simulations, this framework shows how better inputs and smarter tech expand what your portfolio analytics can actually deliver.

The Project Impact Tornado (PIT) plot flips traditional analysis on its head by showing how each project affects the entire portfolio—highlighting what to cut, back, or bet big on with clarity and precision.

Captario’s stepwise AI integration—from instant model guidance to strategic simulation insights—is transforming pharma portfolio management by accelerating analysis, surfacing trade-offs, and enabling smarter, faster decisions.

Faced with trade-offs between early launch and long-term value, a biopharma team used simulation to compare filing strategies, define decision thresholds, and turn uncertainty into strategic clarity.

Project prioritization is at the core of portfolio management in most pharma organizations. Many teams follow a familiar playbook: rank the projects by NPV, ROI, or some other metric... then select from the top until the budget is used up. Easy peasy, right? Well, not always! 🚫 Some of those top projects might be high risk, with a profile the company isn’t comfortable with 🔄 Others further down the list may be mid-trial, and hard to drop without operational or ethical impli