A chef has a request to bake a carrot cake. The carrots were previously picked from the ground, cleaned, packaged, and transported to the grocery store. The carrots are purchased by a chef at the store to be shredded, mixed with other ingredients, and baked into the cake. The carrots could also be sliced for a salad. It is the chef’s knowledge, skill, and wisdom that determines how well the ingredients are made into a cake.
The analogy is that GEOINT data are previously collected (picked), inconsistencies removed (cleaned), structured (packaged), and distributed (transported). The analyst acquires the data from a warehouse (grocery store), subsets the data (shreds the carrots), and combines (mixes) it with other information to create insights (the cake). The same data might be used for other analytic purposes (making a salad). It is the analyst’s (bakers) knowledge, skill, and wisdom that determines how well the information are converted into insights.