  As information becomes increasingly sizable for organizations to maintain the
challenge of organizing data still remains. More importantly, the on-going
process of analysing incoming data occurs on a continual basis and
organizations should employ existing procedures that may not be adequate or
efficient when attempting to access specific information to analyse. In these
latter days of technological advancement, organizations can offer their
customers extensive data resources to utilize and thus accomplish individual
objectives and maintain competitiveness; however, it remains a challenge in
providing data in a format that serves each clients suited needs. For some, the
complexity of a data model can be overwhelming to utilize. Furthermore,
companies should secure an understanding of the purchasing power used by
specific consumer groups to remain competitive and ease the operation of data
analysis. This research paper is to examine the use of multi-dimensional models
within a business environment and how it may provide customers and managers
with generating queries that will provide accurate and relevant data for
effective analysis. It also provides a new framework that can aid various types
of organisations using sizable database systems to create their own
multidimensional model from relational databases and present the data in
multidimensional views. It also defines the requirements. Despite the
availability of set tools, the complexity of utilizing the conceptions
discourages customers as they may become apprehensive about exploring these
options for analytical purposes. This could be done by conducting a query.
