Intelligent data sources and integrated data repository as a foundation for business intelligence analysis

Data mining and data analysis in general demonstrate high dependency on data quality. Gathering the right data of high enough quality takes most of researcher´s time and often demonstrates need for some additional data to be parsed. In order to eliminate or at least reduce required effort for this first phase of every analysis, authors of this paper present the idea of Integrated Data Repository and Intelligent Data Source. Concepts of those components are presented and approach to their development is suggested together with the high-level view of the system architecture. Finally, an experimental implementation is described.