Abstract: A computer-implemented method and an apparatus facilitate on-demand building of predictive models. Data corresponding to a plurality of customers is retrieved from data sources and a training data sample and a testing data sample are generated from the retrieved data. Variables for developing the predictive model are identified from the retrieved data and are subjected to any of structured categorical variable binning, unstructured categorical variable binning, and numeric variable binning to generate transformed variables. The transformed variables and the training data sample are used to develop predictive models. The developed predictive models are tested using the testing data sample and scores are generated corresponding to the developed predictive models. A predictive model is selected from among the developed predictive models based on the scores. The selected predictive model is published on a prediction platform to facilitate prediction of outcomes related to customers of the enterprise.