Abstract: In this work we present useful Graphical User Interfaces (GUIs) suitable for clustering, classification, and sales predictions of the “Grande Distribuzione Organizzata” GDO (major multiples/large-scale retail channel, chain store/mass distribution) products. This Open Data Machine to Machine (M2M) system combines all products, provided both from an open scenario and from a proprietary database, in order to cluster and to classify new data for the creating of predictive rules. The experimental results, carried out on massive simulated data, demonstrate the efficacy of GUIs for the application of Business Intelligence rules. For the purpose, the massive data are stored by means of Cassandra DB a Big Data System. Instead, the GUIs implementation, related to the main tasks of Machine Learning, are designed in Orange tool. Finally, the prediction results are validated respect to most know tool in literature: Weka.
Keywords: GDO, Machine to Machine Systems, Data mining, GUI, Prediction, DBMS, Big Data.
