DIKW Pyramid | Data, Information, Knowledge and Wisdom | Data Science and Big Data Analytics
The term DIKW is derived from the field of “data science and big data analytics”. The DIKW model is used for data enrichment. The DIKW model consists of four stages. The full form of every alphabet in the word DIKW has its own meaning. In DIKW, D stands for “Data”, I stands for “Information”, K stands for “Knowledge” and W stands for “Wisdom”. The flow of the DIKW pyramid starts from bottom to up and also with increasing values such as hindsight, insight, and foresight.
The DIKW pyramid is a hierarchical model that represents the relationship between different levels of information processing, from raw data to knowledge and wisdom. It is often used in the context of data science and big data analytics to illustrate the transformation of data into actionable insights.
The four levels of the DIKW pyramid are:
- Data: This is the raw, unprocessed facts and figures that are collected from various sources. Data can be structured or unstructured and may include text, numbers, images, audio, and video.
- Information: Data becomes information when it is organized, processed, and interpreted in a meaningful way. The information provides context and relevance to data and enables decision-making and action.
- Knowledge: Knowledge is the understanding gained from information, through analysis, interpretation, and synthesis. Knowledge is often based on experience, expertise, and intuition, and enables more complex decision-making and problem-solving.
- Wisdom: Wisdom is the highest level of the DIKW pyramid, representing the ability to apply knowledge and experience to make sound judgments and decisions. Wisdom requires reflection, insight, and foresight, and is often based on a deep understanding of the broader context and implications of decisions.
In the context of data science and big data analytics, the DIKW pyramid illustrates the process of transforming raw data into actionable insights. Data is collected, processed, and analyzed to generate information, which is then used to develop knowledge and wisdom. By leveraging advanced analytics techniques and technologies, organizations can extract valuable insights from their data and use them to improve their operations, products, and services. The DIKW pyramid is a hierarchical model that illustrates the relationship between four levels of information processing: Data, Information, Knowledge, and Wisdom.
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