Credit card fraud management is accomplished most of the times through an automated process. However, there are occasions when machines cannot evaluate the outcome of a given case with enough confidence, and therefore, human domain expertise must be used to settle those transactions. This demo paper presents the two dashboards developed for the European project SPEEDD, which have the goal to provide a better detection tool for fraud analysts, focusing mostly on fraud flagging reasons, visual display of the information, and usage of context and correlation between transactions, to help successfully closing fraud cases.