Data analysis is crucial for predictive maintenance in catalysis. By continuously monitoring and analyzing process data, it is possible to predict when a catalyst is likely to fail and take preemptive action. Techniques such as Machine Learning and Data Analytics can be employed to analyze historical data and identify patterns that indicate impending deactivation.