First, the model
Second, the model interpretation
Knowledge is also defined using taxonomy, with levels describing data, information, knowledge and wisdom. Briefly, data is defined as a fact. Information is a fact with some context. Knowledge is an understanding gained from a pattern this exists with related information. Wisdom combines an understanding of any of the above with some additional exploration to derive a cause and effect relatio Nship.
Iii. Examples of data
A fact, such as the number, is data. We can intuitively discern that another fact such as 101 may be greater in value but without some further context we canno T is sure what the data represents. Stating that number are a dollar value adds some additional meaning, and adding that the dollar value was an account Balance further extends the perspective of 100. The amount of background needed to transform data into information are subjective.
Fat Brother's Big Data Road (14): Data value chain model