Multidimensional models for simulation

  • Authors:
  • Alexandru Daniela Ioana

  • Affiliations:
  • Databases Department, The Academy of Economic Studies, Milan, Italy

  • Venue:
  • MCBE'09 Proceedings of the 10th WSEAS international conference on Mathematics and computers in business and economics
  • Year:
  • 2009

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Abstract

In a dynamic business environment characterized by extreme competitiveness and need quickly adapt to new and changing market condition, information has became an asset. Timely and quality information are the basis for quality decisions, and only quality decisions help survive and prosper on the market. Business intelligence applications help the management take quality decisions. Some business intelligence applications implement multidimensional models, powerful models for data analysis and simulation. Simulation is often used in the planning and forecasting processes. The article exemplifies the approach to be followed by the analyst when designing a multidimensional model for simulation.