Increasing BI Capabilities with FRM based Recommendations

Abstract

Business intelligence (BI) is broadly adopted in organizations today. Users’ feedback is also integral part of BI systems. To be able to recommend the most interesting content to users, user feedback is required. Users expressing their preferences allow a recommender system to collect data and build profiles needed for the generation of recommendations. The user interface that is used for this task is often referred to as the feedback system. Bad design of a user interface can easily lead to the fail on market and therefore the feedback system has to be carefully considered. Integration of FRM with BI will improve the overall effectiveness of BI tools. It will also augment the benefits that end-users and organizations can achieve from data resources. This paper tries to examine the BI systems with FRM integration and thus evaluating the outcomes and benefits of FRM in BI environment.