In short, data are values assigned to something. These values do not necessarily have to be numbers. They can also be, for example, concepts or positions on a map. Data can be measured or quantified using instruments, but they can also be assigned arbitrarily.
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You will at some point soon encounter a knowledge graph. It is also possible to create advanced applications and dashboards that generate high value for the organization, but to do so we need to expand data integration, providing data to those who need it, over time.
It is often extremely complicated to understand these connections, which is why we use Knowledge Graphs to represent these relationships in a graphical, visual, and understandable way. As researchers in a digital world, we navigate using search engines that index our information, but remove its meaning and context.
