Julia Polańska; Michał Zyznarski MSE-2009:31, pp. 120. COM/School of Computing, 2009.
Business Intelligence Systems are becoming
more and more popular in recent years. It is caused
by the need of reusing data in order to gain some
potentially useful business information about.
Those systems are advanced set of tools, which
causes high prices of purchase and licensing.
Therefore, it is important to choose the system
which fits the best particular business needs.
The aim of this thesis is to elaborate a method
for comparison of existing Business Intelligence
Systems that are supporting data mining. The
method consist of a quality model, build according
to existing standards, and set of steps which should
be taken to choose a Business Intelligence System
according to particular requirements of its future
The first part of the thesis focuses on the
analysis of existing works providing a way for
comparison of those software products. It is shown
here that there is no existing systematic approach
resolving this problem. However, criteria presented
in those works along with the description of quality
model standards were used for creating the quality
model and proposing a set of basic measures. Also
the phrases for the evaluation process were
The next part of the research is a case study
which purpose is to show the usefulness of
proposed evaluation method. The example is
simple, but has proven that the method can be
easily modified for specific needs and used for
comparison of real Business Intelligence Systems.
The quality level measured in the case study turned
out to be very similar for each system.
The evaluation method may be extended in
future work with more advanced measures or
additional characteristic which were not taken into
account in this research.