Designing knowledge management systems for the enterprise involves planning, developing, and implementing key workflows, processes, and technology components to facilitate the capture, storage, and retrieval of organizational knowledge.
Knowledge management system design takes into account structured and unstructured data and documents, as well as the ways in which individuals and teams throughout the enterprise apply the knowledge to executing workflows and business processes, in support of gaining new insights and creating deeper customer value.
Well-designed knowledge management structures and processes go beyond capturing and storing knowledge to also ensure institutional knowledge and wisdom is intuitively accessible and findable, both in search queries and user interfaces for humans, and eventually for Machine Learning (ML) and Large Language Model (LLM) training and operations.