Abstract: A method for providing action-based modeling to facilitate predictive analytics is disclosed. The method includes aggregating raw data from various sources, the raw data including application metadata; structuring the raw data to generate a primary data set; partitioning the primary data set to generate an action data set for predetermined actions, the action data set including a status label for each data point; generating a model for each of the predetermined actions; training the model based on the corresponding action data set; and determining an explanation for each of the predetermined actions based on the corresponding trained model, the explanation including a rule-based description in a natural language format.