Like most business disciplines, project management relies primarily on past performance to predict future results. With Product Lifecycle Management (PLM) a vast amount of data is collected to help evaluate performance. But project managers still lack useful analysis and forward-looking capabilities to predict and ensure project success. Enhancing project management with analytics creates project intelligence, offering the opportunity to shift from a task-based activity to a performance-driven one. More broadly, it allows companies to significantly extend the value of their PLM investment and related data by using analytics to provide actionable insights that improve business performance.