Category: Knowledge Management

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Turning data into knowledge

In recent years, various definitions and approaches have been developed that deal with data, information, and knowledge management.

It is advisable to view this within the overall context of a company or institution. The following diagram illustrates the complete, iterative cycle while taking intermediate phases into account.

Knowledge management as a lifecycle

For a closer explanation, let us examine the phases in more detail, starting with the „Data“ phase.

  • Data – Data refers to recorded values presented in a structured format through metadata descriptions.
  • Information – Data combined with context that explains its meaning.
  • Knowledge – Knowledge is information that undergoes cognitive processing by domain experts and is subsequently available in a structured form (explicit). Uncaptured knowledge, acquired for instance through intuition and experience, is referred to as implicit.
  • Wisdom & Insight – Making decisions and taking action requires intelligence (sagacity) paired with insight and understanding, which can be validated and applied through knowledge.
  • Vision – Knowledge combined with intelligence forms the foundation for forward-looking planning and the realization of vision.

During the data management process, Discrete Data are initially transformed into Connected Data. Connected Data can be described and managed using a Knowledge Graph or a Knowledge Forest.