A knowledge-based system for supporting data analyses problems

Scientists from different research areas have developed a variety of models and methods to support data analysis problems in their specific fields of interest. However, the preconditions for a proper usage of the corresponding software which is often provided in the shape of software packages or individual programs may cause a severe problem. These preconditions preponderantly demand knowledge as well about theoretical and software specific aspects of algorithms used as about essentials of the area of application. The prototype to be presented in this paper aims at extending the capabilities of conventional software approaches by incorporating knowledge concerning the suitability of certain data analysis methods. The knowledge-based part is realized in PROLOG. The application area is market research. The prototype already comprises several data analysis procedures, especially from multidimensional scaling and cluster analysis, and data management facilities which can be invoked by the user based on the recommendations given by the system.