Computational data is crucial because it allows researchers to explore catalytic processes at the atomic and molecular levels. This detailed understanding can lead to the discovery of new catalysts, optimization of existing ones, and insights into reaction mechanisms that are difficult or impossible to obtain experimentally. Moreover, computational techniques can significantly reduce the time and cost associated with catalyst development.