The relationship between Knowledge Management and Business Intelligence

Sammanfattning: The relationship between Knowledge Management (KM) and Business Intelligence (BI) is di-vided into two steps. First, differences and similarities between the concepts, and second, what interaction the concepts have within organisations. Eight qualitative interviews with ex-perts in the field of BI have been done. The most significant difference is in the knowledge sources, where KM handle explicit and tacit knowledge and BI only handle explicit. The simi-larities are that both of the concepts handle the same data sources (structured and semi-struc-tured) and technologies (data mining and text mining). But even if there are similarities and the experts are aware of these, their companies do not work like this in practice. In practice, KM handle more semi-structured data and text mining, while BI handle more structured data and data mining. The interaction are shown through the learning processes and the best prac-tises used by companies. Where BI mainly handle raw data, the concept is within the organi-zations used to visualize and facilitate the measureable information. KM is then used for the organizations to convert and distribute this information into knowledge. Without working BI technologies you can’t get the right information for users, and without KM it is impossible to turn the information into useful knowledge.