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OLAP is the main paradigm for flexible and effective exploration of multidimensional cubes in data warehouses. During an OLAP session the user analyzes the results of a query and determines a new query that will give her a better understanding of information. Given the huge size of the data space, this exploration process is often tedious and may leave the user disoriented and frustrated. This paper presents an OLAP tool named Falseto (Former AnalyticaL Session for lEss Tedious Olap), that isdoi:10.1145/2666158.2666179 dblp:conf/dolap/AligonBMP14 fatcat:4qpju2sjjrg3halq6ceffumb5i