Data, Information, and Knowledge
Section: Data
- Data represents raw and unprocessed facts, figures, and details that lack context.
- It lacks meaning on its own, but is crucial in the formation of information.
- Examples: numbers, words, measurements, observations etc.
Section: Information
- Information is data that has been processed, organised, or structure in a way that it becomes meaningful.
- Processing data into information often involves ordering, categorising, or adding context.
- Example: results from a survey (I.e. data) might be organised and averaged to produce a mean result (I.e. information).
Section: Knowledge
- Knowledge refers to the understanding, awareness, or familiarity gained from experience or education.
- It is information that has been assessed, compared and contrasted so it can be used in making decisions and tasks.
- Knowledge is generally seen as useful or applicable information.
Section: Relationship between Data, Information, and Knowledge
- Data, information, and knowledge are interconnected terms in the field of ICT.
- A simple way to visualize the relationship between these terms is: data are used to generate information, and information is used to generate knowledge.
- Data is the starting point, and through various processes becomes information and finally, knowledge.
Section: Importance in ICT
- In ICT, understanding the differentiation and transformation from data to information to knowledge is fundamental to effectively manage and utilise these resources.
- This comprehension enables better data management, more accurate information processing and enhanced knowledge development.
- It also ensures better decision making, improved operational efficiency and enhanced business strategies.