In this paper an example of applying the recommendation component of OLAP reporting tool developed and put to operation at the University is presented. To construct report recommendations in the abovementioned tool content-based methods are employed. Analyzing user activity and taking advantage of data about user preferences for data warehouse schema elements existing reports that potentially may be interesting to the user are distinguished and recommended. The approach for recommending reports is composed of two methods-cold-start and hot-start. The cold-start method is employed, if a user is either new to the system or classified as passive, while the hot-start method is applied for active system users. Both methods are implemented in OLAP reporting tool. The recommendation component of the OLAP reporting tool is presented, and different recommendation modes are described.