Business intelligence represents a set of analytical tools and decision support tools. Classic ERP systems, which are primarily in transaction functions, collect and process a large number of data from business processes. In the context of strategic and tactical decision making, it is necessary to use categorized and summarized data from transaction systems. This means that it is necessary to select (extract) data dimensions, transform them and introduce them into analytical procedures. Multiple data dimensions, including the time recorded in transaction databases, become new data sets for analysis (data marts). The method for analysis is OLAP (on-line analytical processing). Business intelligence systems ensure a method and analytical procedure for a research of those relations between datasets which are used to reveal new functional dependencies between data and obtain new knowledge. Processes in BI systems can be automated to a certain extent, allowing the system to learn from previous data. Thus data from ERP transaction databases, which are processed by new methods of batch processing, become the basis for decision-making at higher levels of decision-making. This diploma paper will show the benefits, requirements for exploitation, and the advantages and possible disadvantages of business intelligence system on the example of a selected BI system of a complex business software solution that includes an ERP system. It will also explore in which direction the development of such systems is going.