This is a CRISP-DM implementation for bank marketing data. The author use marketing campaign data from a Portuguese bank that can be accessed here. The campaign purpose is to acquire new client to subscribe the offered term deposit. The goals of this data mining process are: to determine which predictive model that has best performance, and to get variables (features) that are relevant and have significant impact to predictive model.
Reference:
Moro, S., Cortez, P., Laureano, R. (2011). Using Data Mining for Bank Direct Marketing: An Application of the CRISP-DM Methodology. Proceedings of the European Simulation and Modelling Conference.