Exploring the complexity of data and knowledge, it becomes apparent that not all data is created equal. There are three types of data: big, thick, and rich. Big data is quantitative, often numerical, and can be processed by algorithms to reveal patterns and trends. While it provides valuable insights, it lacks the depth and context of thick data.
Thick data is qualitative, providing context to the numerical data. It’s gathered through methods like interviews, observations, and cultural immersion. It helps in understanding the ‘why’ behind the patterns revealed by big data. But, it’s time-consuming to collect and analyse, and its subjective nature can lead to bias.
Rich data is a combination of big and thick data. It provides a holistic view by combining the breadth of big data with the depth of thick data. It’s achieved through methods like ethnography, where researchers immerse themselves in the culture they’re studying, and narrative research, where people’s stories are used to understand their experiences.
In essence, to gain a comprehensive understanding of any situation or problem, it’s essential to utilise all three types of data. By doing so, it’s possible to gain a wide-ranging view, understand the context, and delve into the intricacies of the situation.
Go to source article: https://cognitive-edge.com/blog/big-thick-and-rich/