Knowledge Systems and Management

Knowledge: Knowledge is very distinct from data and information and provides a higher level of meaning about that data and information. * Data are the collection of facts, measurements and statistics. * Information is organized or processed data that are timely and accurate. * Knowledge is information that is contextual, relevant and actionable. * through reuse.
Types of knowledge: There are two types of knowledge * Explicit knowledge * Tacit knowledge
Explicit Knowledge: Explicit knowledge has been codified in a form that can be distributed to others or transformed into a process or strategy without requiring interpersonal interaction.
Explicit knowledge deals with objective, rational and technical knowledge * Data * Policies * Procedures * Software * Documents * Products * Strategies * Goals * Mission * Core competencies

Tacit Knowledge: Tacit knowledge is usually in the domain of subjective, cognitive and experimental learning; it is highly personal and difficult to formalize. It is also referred to as embedded knowledge since it is usually either localized within the brain of an individual or embedded in the group interactions within a department or business unit.

Tacit knowledge is the cumulative store of the

* Corporate experiences * Mental maps * Expertise * Know-how * Trade secrets * Skill sets

Knowledge management: Knowledge management is a process that helps organizations identify, select, organize, disseminate, and transfer important expertise that are part of the organization’s memory.
Knowledge management initiatives focus on * Effective and efficient problem solving * Dynamic learning * Strategic planning * Decision making * Identifying new knowledge * How it can be shared in a formal manner * Leveraging its value through reuse.