Data analytics involves the use of statistical and computational methods to analyze experimental data. In catalysis, data analytics can identify patterns and correlations that are not immediately apparent. By leveraging big data and data mining techniques, researchers can gain deeper insights into catalytic processes, leading to the discovery of new catalysts and improvement of existing ones.