Data Warehousing and Knowledge Discovery has been widely accepted as a key technology for enterprises to improve their abilities in data analysis, decision support, and the automatic extraction of knowledge from data. Historically, the phrase knowledge discovery in databases was coined at the first KDD (Knowledge Discovery and Data Mining) workshop in 1989 to emphasize that knowledge is the end-product of a data-driven discovery process. Since then, much research has been accomplished in this field. This paper which is written as an epilogue of the DaWaK 2005 proceedings by the programme committee chairpersons together with Nguyen Manh Tho, should reflect the past development of DaWaK-results and other significant research outcomes in the area and above all should deliver a rough sketch of the current development and possible future work. In the early 1990s, most businesses realized that there was an urgent need for more sophisticated tools for analyzing their business data, customer profiles and product information. Data mining and data warehousing technology mainly originated from these needs.
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