Artificial intelligence and business analytics can help project managers improve project success rates. Business intelligence refers to collecting, storing, and analyzing company data, while business analytics explores past performance data to gain insights. Data analytics can help project managers with tasks like matching resources to projects, scheduling resources, and managing risks and issues in real time. Project managers have a high level of responsibility over the entire project lifecycle from planning to completion, and data analytics can help make managing large projects less tedious.