Knowledge management (KM) deals with sharing lessons learned through databases, information management (IM) focuses on library services, and data management handles automation. KM involves validated data given meaning through experience, while information involves context and understanding. Intelligence applies knowledge through learning. Organizations approach these differently based on internal business units and external industry factors. Data quality, business intelligence, information security, and intellectual property are additional concerns for organizations.