For a fictional insurance company, the aim was to provide a clear and proven profiling of customers within the dataset, in order to be delivered to the marketing department for further development. For these goals to be achieved, the classic KDD process framework was followed. Having said that, the steps taken go from pre-processing the given data, followed by transformation processes. After these steps, several clustering algorithms were tested and decided based on the best results. Finally, succinct marketing approaches hinged on our final clusters
