The purpose of the systematic literature review is to better understand how a real-time business intelligence can enhance an enterprise performance management (EPM) solution. The various processes and methodologies of EPM along with its integration with real-time business intelligence is studied in this paper. Many studies focus on the role of real-time analytics in organizations, but there are very few that focus on the linkage between real-time business intelligence and enterprise performance management. This Master of Science thesis aims to address that gap. The review is conducted by comparing and synthesizing research studies done in this area. The findings prove that real-time business intelligence is beneficial enough to implement to monitor enterprise performance since faster and better decision making on business processes is enabled. With the emergence of artificial intelligence and machine learning algorithms, there is a bright scope for automated decision making and performing actions. This could help reduce the third and impeding latency type in business intelligence which is decision/action latency. The literature review also suggests that there is more research needed linking real-time business intelligence and enterprise performance management. In conclusion, this review’s findings have shown that real-time business intelligence when integrated with enterprise performance management solutions can help the business gain competitive advantage after careful consideration of the purpose and effects of implementation.