Data Warehouses and OLAP systems allow decision-makers exploring and analyzing huge volumes of data modeled according the multidimensional model, and extracted from heterogeneous data sources. Usually, DW design is a complex, and time and resources consuming task. Then, DW experts are necessary during design and implementation phases. In this paper, we present a new methodology and a tool allowing modelers (DW unskilled users) to design and implement DWs for analyzing simulation results data by themselves, without any intervention of DW experts.