TY - JFULL AU - Manpreet Singh and Parvinder Singh and Suman PY - 2007/1/ TI - Conceptual Multidimensional Model T2 - International Journal of Computer and Information Engineering SP - 3840 EP - 3846 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/3843 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 12, 2007 N2 - The data is available in abundance in any business organization. It includes the records for finance, maintenance, inventory, progress reports etc. As the time progresses, the data keep on accumulating and the challenge is to extract the information from this data bank. Knowledge discovery from these large and complex databases is the key problem of this era. Data mining and machine learning techniques are needed which can scale to the size of the problems and can be customized to the application of business. For the development of accurate and required information for particular problem, business analyst needs to develop multidimensional models which give the reliable information so that they can take right decision for particular problem. If the multidimensional model does not possess the advance features, the accuracy cannot be expected. The present work involves the development of a Multidimensional data model incorporating advance features. The criterion of computation is based on the data precision and to include slowly change time dimension. The final results are displayed in graphical form. ER -