It is the graphical representation of how knowledge can be organized within the organization. We know that, when we collect raw data, it comes in a jumbled form. DIKW Model describes how the data can be processed and transformed into information, knowledge, and wisdom.
The first step in this DIKW model is Data. Collection of raw Data is the primary requirement for reaching a meaningful result in the end. Any measurements, logging, tracking, records etc are all considered as data. Since the raw data is collected in bulk, it includes various things both useful and not so useful contents.
Rowley, following her review of how DIKW is presented in textbooks, describes information as "organized or structured data, which has been processed in such a way that the information now has relevance for a specific purpose or context, and is therefore meaningful, valuable, useful and relevant."