• Several public and private enterprises and organizations have developed in recent years formal and systematic mechanisms to gather, store and share their wealth of knowledge, which is now perceived as an invaluable intangible asset.
• The activity of providing support to knowledge workers through the integration of decision-making processes and enabling information technologies is usually referred to as knowledge management. Similarity
• It is apparent that business intelligence and knowledge management share some degree of similarity in their objectives. The main purpose of both disciplines is to develop environments that can support knowledge workers in decision-making processes and complex problem-solving activities.
• To draw a boundary between the two approaches, we may observe that knowledge management methodologies primarily focus on the treatment of information that is usually unstructured, at times implicit, contained mostly in documents, conversations, and past experience. Dissimilarity
• Conversely, business intelligence systems are based on structured information, most often of a quantitative nature and usually organized in a database.
• However, this distinction is a somewhat fuzzy one: for example, the ability to analyze emails and web pages through text mining methods progressively induces business intelligence systems to deal with unstructured information.
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