Project Portfolio Management

For R&D directors, PMO leads, and the evaluators assessing PPM platforms. Learn what changes when project status is derived from lab data rather than typed in, covering stage-gates, stalled programs, resourcing and budget, and PPM versus PLM.

How R&D leaders plan projects with dependencies and a critical path, track costs, budgets and margin in 30 currencies, and research markets and competitors with Bodie AI Agent.

A PPM built on the same platform as the experiments, quality, and production data behind every project. Plan, prioritize, and govern your whole R&D portfolio on evidence instead of stale spreadsheets and decks.

Portfolio leaders ask the questions that decide where the money goes: which projects to prioritize, what is the risk and expected return, where to invest limited resources? Here are the questions connected data helps you answer with evidence.

A restricted substance can sit in dozens of formulas, blends, and products. Here is how connected PLM data and where-used analysis help chemical teams scope the impact and run a controlled portfolio change.

Stage-gate reviews break down when project status is typed in by hand and out of date. This piece shows how deriving status from real experiment and quality data lets R&D leaders make go, hold, or kill decisions on evidence, not opinions.

Project portfolio management (PPM) is how R&D leaders decide which projects to back, how to prioritize them against strategy, and how to resource them. This guide explains what PPM does, why it matters, and how it differs from PLM.

PLM and PPM are often confused, but they solve different problems. PLM manages a product through its lifecycle; PPM decides which projects to run and how to resource them. This guide compares the two and shows how one data model links them.

Learn which R&D KPIs to track, how to define and calculate them, and how to connect performance metrics with the experiments, resources, product improvements, and commercial outcomes that explain the results.