Why Data Mining Research Does Not Contribute to Business?

Data mining (DM) and knowledge discovery are intelligent tools that help to accumulate and process data and make use of it. Nowadays there exist many DM algorithms, developed, implemented and available for direct use or integration into specific solution. There exist also a number of DM systems that provide DM tools for all steps of the DM process. This paper is aimed at provoking the discussion why contribution of data mining research to business has not been as powerful as was expected. We strongly emphasize that practice-oriented aspects require more attention in DM research, and we stress that DM research should take into account the practice relevance of research beside the scientific rigor of it. This might require broadening the current narrow DM research framework.