Granular computing (GrC) is a domain of science aiming at modeling computations and reasoning that deals with imprecision, vagueness, and incompleteness of information. Computations in GrC are performed on granules that are obtained as a result of information granulation. Principal issues in GrC concern processes of representation, construction, transformation, and evaluation of granules. It also requires aligning with some of the fundamental computational issues concerning, for example, interaction and adaptation. This article outlines the current status of GrC and provides the general overview of the process of building granular solutions to challenges posed by various real‐life problems involving granularity. It discusses the steps that lead from raw data and imprecise/vague specification toward a complete, useful application of granular paradigm.